May 04, 2024  
2019-2020 Undergraduate Academic Catalog 
    
2019-2020 Undergraduate Academic Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Civil Engineering

  
  • CV 5232 - Prestressed Concrete Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents the behavior and design of prestressed concrete members and structures.  Topics include PCI and ACI design criteria; flexural member design; compression member design; beam-column member design; and connection design. (prereq: AE 3231   or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Reinforced concrete design

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5234 - Foundation Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents the design of foundation systems. Topics include design of shallow foundations for axial, flexural, and shear forces; design of anchorage in concrete; design of retaining walls for lateral and gravity forces; design of slabs on grade and pavement; design of piers and piles; and design of pile caps with the strut and tie method. (prereq: AE 3231  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Reinforced concrete design

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5240 - Masonry Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course examines design of unreinforced and reinforced masonry structures. Topics include lintels; walls subjected to out-of-plane and in-plane loads; detailing, allowable stress design and strength design. (prereq: AE 3231  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Reinforced concrete design

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5250 - Wood Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents the behavior and design of wood structures. Topics include sawn beam and column design; engineered wood beam and column design; design of plywood floors, diaphragms, and shear walls; and connection design. (prereq: AE 3201  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Principles of structural engineering

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5260 - Bridge Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents structural analysis and design of highway bridges. Topics include construction materials in bridges; loads on highway bridges; load path and distribution in bridge superstructure; design of single-span and multi-span highway bridges including rolled steel girder bridges with concrete deck, flat slab bridges, and box culverts; and bridge aesthetics. (prereq: AE 3231  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Reinforced concrete design

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5262 - Modern Structural Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces the selection of structural systems for performance, cost and constructability; and resistance to gravity and lateral loads. (prereq: AE 3201  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Understanding of design methodologies for different structural materials (steel, concrete, wood, masonry)
    • Basic understanding of structural analysis software

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 5800 - Research and Writing

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course is designed to equip students with the research and writing skills necessary to successfully complete an engineering capstone design project. After selecting a capstone topic, the student will learn how to use the MSOE library’s online databases and print/electronic resources to locate relevant and credible literature, as well as other sources of information. In conjunction with an ongoing critical assessment of their proposed capstone topics, students will evaluate the source material to refine their topics, and to articulate questions and issues for further investigation. After an introduction to the purposes and methods of literature reviews in technical writing, students will be required to write a review of the literature read during the term. Weekly referencing exercises and writing discussions will help the student master the MSOE Style Guide. (prereq: graduate standing or approval of program director)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • None

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6210 - Applied Finite Elements

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents the application of the finite element method to building analysis. Topics include element stiffness matrices for beam, plate, shell and continuum elements; solution of equations; material models for steel and concrete; boundary conditions; and applied loading. (prereq: AE 5210  or CV 5210 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Matrix structural analysis

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6212 - Structural Dynamics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces analysis of single degree of freedom systems; multi-degree of freedom Systems; free vibration analysis; forced system response; analysis of earthquake loading; and modal analysis. (prereq: AE 5210  or CV 5210 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Matrix structural analysis

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6214 - Lateral Loads on Structural Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course focuses on determining earthquake and wind loads on structures. Topics include basis for code procedures; code characterization of loads; code assumptions of elastic versus inelastic behavior; and detailing for inelastic response. (prereq: AE 6212  or CV 6212 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Structural dynamics

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6216 - Structural Stability

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents structural stability analysis for members and multistory frames. Topics include torsional buckling of beams; plate buckling; modeling structural stability with the finite element method; and post-buckling behavior. (prereq: AE 6210  or CV 6210 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Finite element analysis

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6222 - AISI Steel Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents cold-formed structural steel properties and design of cold-formed steel structural members using LRFD methodology published by AISI. Topics include flexural members; compression members; beam-columns; connections; and cold-formed steel shear diaphragms for residential construction. (prereq: AE 6216  or CV 6216 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Prerequisites by Topic
    • Structural stability

    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6224 - Connection Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course focuses on the design of connections between structural members with emphasis on connecting hot-rolled steel members. Topics include overview of connection design; limit states; connection selection; shear connections; moment connections; partially restrained connections; bracing connections; and design of special connections for earthquake loading. (prereq: AE 5220  or CV 5220 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6230 - Reinforced Concrete Structure Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents the design of reinforced concrete floor systems. Topics include design of pan joists systems; design of two-way slabs and flat plate floors; ACI Direct Design and Equivalent Frame methods; connection design; and commercial structural design software. (prereq: graduate standing; AE 3231  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    See Graduate Catalog
    Course Topics
    See Graduate Catalog
    Coordinator
    See Graduate Catalog
  
  • CV 6370 - Facilities Planning

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces students to a facilities plan, which is a comprehensive evaluation of infrastructure requirements needed for a municipality’s or a region’s water supply, stormwater and sewerage, and wastewater treatment systems.  This course will investigate the essential components of facilities plans for these various systems through the use of case studies of local and national interest. (prereq: graduate standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • See Graduate Catalog

    Prerequisites by Topic
    • None

    Coordinator
    Dr. Frank Mahuta
  
  • CV 7100 - Applied Statistics and Modeling

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course covers topics in statistics needed for the statistical analyses of water, air, and other environmental systems. It also presents methods for developing statistical models. Specific topics include: (1) determining if significant differences exist between data sets using parametric and non-parametric methods, (2) experimental design, (3) constructing linear and non-linear regression models, (4) developing Monte Carlo models, (5) analyzing time-series, and (6) special topics. (prereq: MA 262 , graduate standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • See Graduate Catalog

    Prerequisites by Topic
    • Statistics

    Coordinator
    Dr. William Gonwa
  
  • CV 8000 - Research and Presentation

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course presents research, critical reading, and technical presentation (written and oral) skills needed by a practicing civil engineer. The student will select a topic relevant to civil engineering and conduct literature research or other research on that topic. The student will present the results of the research with a written technical report. The student will also give an oral presentation on the results of the research.  (prereq: consent of MSCV program director)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate knowledge on chosen research topic

    Prerequisites by Topic
    • Civil Engineering

    Course Topics
    • Determined by student and faculty advisor

    Coordinator
    Dr. Blake Wentz
  
  • CV 8900 - Capstone Project I

    1 lecture hours 0 lab hours 3 credits
    Course Description
    This is the first of a three-course sequence (with CV 8910 and CV 8920) which comprise the independent capstone project of the Master of Science in Civil Engineering program.  The student will complete a project that presents a comprehensive solution to a civil engineering problem.  The problem is to be formulated by the student under the supervision of a faculty advisor.  The project may be based on the student’s industrial experience, consist of physical research, or consist of an analytic solution.  The project must be approved by the Master of Science in Civil Engineering program director and the CAECM Department chairperson.  Satisfactory progress and completion of the capstone project is to be determined by an academic committee consisting of the faculty advisor and two faculty members.  This course is graded on a S/U basis. (prereq: consent of the MSCV Program Director)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Complete an independent research project

    Prerequisites by Topic
    • Civil Engineering

    Course Topics
    • Determined by student and faculty advisor

    Coordinator
    Dr. Frank Mahuta
  
  • CV 8910 - Capstone Project II

    1 lecture hours 0 lab hours 3 credits
    Course Description
    This is the second of a three-course sequence (with CV 8900 and CV 8920) which comprise the independent capstone project of the Master of Science in Civil Engineering program (see CV 8900). Satisfactory progress and completion of the capstone project is to be determined by an academic committee consisting of the faculty advisor and two faculty members.  This course is graded on a S/U basis. (prereq: CV 8900 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Complete an independent research project

    Prerequisites by Topic
    • Civil Engineering

    Course Topics
    • Determined by student and faculty advisor

    Coordinator
    Dr. Frank Mahuta
  
  • CV 8920 - Capstone Project III

    1 lecture hours 0 lab hours 3 credits
    Course Description
    This is the third of a three-course sequence (with CV 8900 and CV 8910) which comprise the independent capstone project of the Master of Science in Civil Engineering program (see CV 8900). Satisfactory progress and completion of the capstone project is to be determined by an academic committee consisting of the faculty advisor and two faculty members.  The student will receive a letter grade for this course. (prereq: CV 8910 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Complete an independent research project

    Prerequisites by Topic
    • Civil Engineering

    Course Topics
    • Determined by student and faculty advisor

    Coordinator
    Dr. Frank Mahuta

BioMolecular Engineering

  
  • EB 401 - Topics in Biomolecular Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course covers current topics in bioengineering that are not covered in other classes. Topics and structure, as well as credits, may vary. Faculty areas of expertise and possible topics for this course are listed on the Biomolecular Engineering program pages in the undergraduate catalog and on the Web. Groups of students interested in a particular topic should contact the appropriate faculty member or the program director well in advance of registration for the quarter. Credit in this course will be determined after consultation with the instructor. (prereq: consent of instructor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Varies

    Prerequisites by Topic
    • Varies

    Coordinator
    Dr. Matey Kaltchev
  
  • EB 499 - BioMolecular Engineering Independent Study

    1 lecture hours 0 lab hours 3 credits
    Course Description
    Students are given the opportunity to pursue an approved subject not covered in regularly scheduled course work in BioMolecular engineering. This may take the form of individual or small group studies, literature surveys, and laboratory or research projects. Weekly meetings with the course advisor are required. A final report to be filed in the Physics and Chemistry department may also be required. (prereq: junior or senior standing, consent of the course advisor and department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Varies

    Prerequisites by Topic
    • Varies

    Course Topics
    • Varies

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 1001 - Intro to BioMolecular Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The course introduces students to biomolecular engineering and its role as a profession in addressing contemporary technological, social, ethical, and economic issues in today’s world. The course highlights the integration of molecular biology into the engineering fields; the fusion of biology-based disciplines into chemical engineering; and new areas of biomolecular engineering such as cell and protein engineering, bioprinting and discrete nanotransport. Lecture topics include examples of how biomolecular engineers can incorporate a wide range of biosciences with physics and chemistry to develop new products, and improve process efficiencies. Biomolecular modeling and basic concepts of design are introduced. Initial computer skills needed in upcoming courses are introduced. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain an understanding of both the engineering profession and what biomolecular engineers do
    • Distinguish macro scales from micro scales. Should be able to perform unit and scale conversions
    • Gain an understanding of the importance of project participation
    • Ethics and rules of teamwork in a working environment for a lifelong learning approach
    • Demonstrate the use of basic biomolecular engineering terminology
    • Be familiar with the performance of selected engineering techniques and applications of biomolecular engineering discipline

    Prerequisites by Topic
    • No prerequisites by topic appended

    Course Topics
    • Syllabus, intro, pre-test, survey, history and intro to BioE (2 classes)
    • Intro to BioE program, curriculum and the CBM (3 classes)
    • Difference between macro and micro scale. Interchangeable use and applications (3 classes, practice in class)
    • Diversity and extent of the biomolecular engineering (2 classes)
    • Think out of the box activity (2 classes)
    • Reading, understanding and discussing a scientific/engineering paper (5 classes)
    • T-shirt design discussions (5 classes)
    • Introduction to the design process, maintenance of the engineering logbook, and an introduction to time management and time logs (3 classes)
    • Introduction to Word, Excel, PowerPoint (3 classes, practice in class)
    • Exam and quiz (2 classes)

    Coordinator
    Dr. Gul Afshan
  
  • EB 2001 - Laboratory and BioProcess Safety and Ethics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course provides basic knowledge of laboratory and bioprocessing safety and hazards including safety regulations, potential hazards and hazard analysis methodologies, personal protective equipment, elementary toxicology, good laboratory practice, and engineering controls. The course focuses on how to accomplish regulatory compliance, minimize hazards, and reduce the severity of any incidents that may occur in a laboratory or a bioprocessing facility. Ethical questions connected with the impact of the sciences and engineering are discussed in terms of global applications. This course must be passed in order to be part of any biomolecular lab experiments and senior design projects. (prereq: sophomore standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Recognize potential hazards in the laboratory and manufacturing settings and learn how to avoid them by utilizing safety measures including basic guidelines of proper laboratory and large-scale practice and engineering controls, as well as picking up and using the appropriate kind of personal protective equipment properly 
    • Use MSDS to obtain information about potential material toxicity and appropriate safety measures
    • Research the information in regard to the safety guidelines and regulations to comply with them
    • Apply safety measures in the design and performance of biomolecular engineering experiments and large scale bioprocessing
    • Apply various methods of hazards analysis to bioprocessing
    • Recognize the impact of the work of the biomolecular engineer on the environment and on society, as well as potential ethical questions connected to this work and be prepared to discuss them in a professional manner, supported by related professional organizations’ guidelines
    • Recognize the need and value of life-long learning in regard to the safety and ethical problems in the continuously developing field of biomolecular engineering
    • Recognize the hazards associated with the physical, chemical, and biological products and processes designed by biomolecular engineers
    • Recognize the role of safety in various aspects of bioprocess design and operations
    • Apply various methods of hazards analysis to bioprocessing
    • Identify design considerations for various unit operations and production facilities for safe design and operation
    • Analyze process hazards using a suitable methodology

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction and guidelines
    • General laboratory safety rules
    • Personal protection equipment
    • Protection layering
    • Use of laboratory equipment
    • Physical, chemical, fire, electrical, and radiation safety and hazards
    • Chemical safety data sheet
    • Biological safety and hazards
    • Biosafety guidelines
    • Good microbiological techniques
    • Engineering controls
    • Safe experimental design
    • Safety regulations:  institutional, local, and national
    • Need for bioprocess safety, past incidents
    • Overview of the bioprocessing industry
    • The bioprocess lifecycle
    • Bioprocessing safety management practices
    • Identifying bioprocess hazards
    • Hazard analysis methods
    • Bioprocess design considerations
    • Bioprocess unit operations
    • Risk management and emerging technologies
    • Selected regulations
    • Large scale biosafety guidelines
    • A generic biosafety checklist
    • Biological assessment questionnaire
    • Bbioprocess facility audit checklist
    • Life-long learning
    • Ethics in the workplace
    • Ethics in research
    • Paper discussions
    • BioE lab tour
    • Group work
    • Speakers

    Coordinator
    Dr. Eryn L. Hassemer
  
  • EB 2100 - BioMolecular Engineering Sophomore Seminar

    1 lecture hours 0 lab hours 0 credits
    Course Description
    As the first in a series of three BioE seminar courses, this sophomore BioE seminar course highlights exciting new areas being advanced by biomolecular engineers and other relevant topics. One of the goals of the course is to assist students in acquiring skills such as critical thinking, communication, public speaking and participation in discussion of controversial ideas. Students attend the seminar, engage in related reading and participate in pre- and post-seminar discussions facilitated by the course instructor(s). Attendance is required for sophomores while BioE freshman are encouraged to attend three of these seminars to earn extra credit in a future EB course. (prereq: EB 1001 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply knowledge of mathematics, science, and engineering
    • Start understanding professional and ethical responsibility
    • Start understanding the impact of engineering solutions in a global, economic, environmental, and societal context
    • Start recognizing the need for, and an ability to engage in, life-long learning
    • Start having knowledge of contemporary issues
    • Learn more about biomolecular engineering applications in today’s society
    • Be introduced to professional communication in the form of formal presentations by invited speakers
    • Learn what professional routes exist for graduates with a B.S. in biomolecular engineering, including careers in industry, research academia and graduate school
    • Be able to relate to program alums as role models

    Prerequisites by Topic
    • No prerequisites by topic appended

    Course Topics
    • Introduction to the course and team formation
    • Pre-seminar discussion on reading and concepts relevant to the seminars
    • Invited speakers-topics vary from year to year
    • Post-seminar discussion on reading and concepts relevant to the seminars
    • Open group discussions
    • Course learning assessment survey and questionnaires

    Coordinator
    Dr. Eryn L. Hassemer
  
  • EB 2240 - Engineering Applications in Biochemistry

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Extensions of the principles of biochemistry are applied to biomolecular engineering. The course provides exposure to enzyme catalysis and kinetics, metabolic pathways, their regulation and associated bioenergetics, cell potential and microbial and H-fuel cell. The interplay of biochemistry, molecular biology, biomolecular and biochemical engineering problems is examined. Laboratory experiments reinforce the concepts from lectures, with an emphasis on applied methods. (prereq: EB 2001 , CH 201 , and either BI 102  or CH 223 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain knowledge of engineering applications of biochemistry concepts
    • Perform experimentation related to biomolecular engineering, including hypothesis formulation, model development, measurements with positive and negative controls, and data analysis
    • Gain knowledge to design, analyze and control physical, chemical, and biological processes
    • Learn to apply basic science engineering concepts knowledge to new situations

    Prerequisites by Topic
    • Material taught in CH 200 , CH 222  and CH 223  
    • Material taught in MA 136 MA 137 , PH 2011 , BI 102 , and EB 2001  
    • Definitions and nomenclature of basic organic and biomolecules
    • Organic functional groups
    • Monomers of basic biomolecules, proteins, enzymes, nucleic acids, lipids, carbohydrates
    • Directionality of biomolecules, properties of biomolecules
    • Key points of metabolism
    • Nucleophiles and electrophiles, hydrophobicity and hydrophilicity

    Course Topics
    • Introduction to the syllabus
    • Enzyme catalysis
    • Enzyme kinetics
    • Applications commercial/industrial use of proteins and enzymes
    • Regulations (enzymes) and applications
    • A great engineering example-the cell and applications
    • H-fuel cell and microbial fuel cell
    • Bioenergetics
    • Design of metabolism and aerobic metabolism
    • Photosynthesis and engineering aspects of metabolism
    • Designing of proteins and enzymes and applications

    Laboratory Topics
    • Lab 1: Log notebook, good lab practices, dos and don’ts of LMPS
    • Lab 2: Fuel cells: H and microbial fuel cell
    • Lab 3: Diffusion measurement in a two-compartment model
    • Lab 4, 5, 6: Model trays for the electron pathway and energy transfer during respiration and photosynthesis
    • Lab 7: Measurement of enzymatic reaction rate
    • Lab 8: Measurement of enzymatic reaction rate with inhibitor
    • Lab 9: Fuel cell challenge design

    Coordinator
    Dr. Gul Afshan
  
  • EB 2250 - Biopolymer Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The course introduces various classes of biopolymers and their applications in selected subspecialties. An understanding of material bulk and surface properties, biopolymer biocompatibility, manufacturing processes, cost, sterilization, packaging and regulatory issues in terms of developing and engineering polymers are stressed. Topics range from polymerization, polymer characterization techniques, and processes tailoring specific properties to biopolymer purification. (prereq: EB 2240 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Categorize different kinds of natural and synthetic biopolymers
    • Understand and discuss the step-growth and chain-growth polymerization and biopolymer processing
    • Discuss the methods for polymers and biopolymers characterization, and analyze the characterization data using their science and engineering skills
    • Understand and discuss the importance of the biopolymer properties: biocompatibility and biodegradability
    • Discuss industrial applications of biopolymers and biopolymer marketing and regulations

    Prerequisites by Topic
    • Biokinetics and biocatalysis
    • Industrial use of proteins and enzymes
    • Design and applications of proteins and enzymes

    Course Topics
    • Introduction to polymers and biopolymers
    • Natural biopolymers in life science
    • Principles of polymerization
    • Polymer and biopolymer processing
    • Polymer and biopolymer characterization: Physics
    • Polymer and biopolymer characterization: Chemistry
    • Biocompatibility
    • Biopolymers: biomedical applications
    • Biopolymers: environmental applications
    • Project I (biopolymers: agricultural applications)
    • Project I (biopolymers: cosmetic applications)
    • Biopolymers: food industry applications
    • Bioplastics (green plastics): science of biodegradable plastics
    • Engineering biopolymers: market
    • Engineering biopolymers: regulations
    • Project II

    Coordinator
    Dr. Wujie Zhang
  
  • EB 2410 - Principles of Biotechnology

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Principles of cell biology, biochemistry, and molecular biology are summarized in the context of biomolecular engineering. Examples of molecular, biochemical and industrial based processes are presented. Lectures focus on the theory of critical techniques that are the backbone of the biotechnological molecular industry. Students have opportunities for hands-on application of techniques during lab sessions. History, ethics and societal impact of biotechnology are discussed. (prereq: BI 2020 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Discuss the history, impacts, and implications of biotechnology
    • Discussion pros and cons of the different aspects of the field
    • Discuss the underlying principles of several bio-techniques
    • Perform several molecular level biotechnology experimental techniques including hypothesis formulation and measurements with positive and negative controls
    • Perform data analysis using knowledge of basic sciences and engineering
    • Practice at least three different techniques of biotechnology independently
    • Identify several biomolecular engineering applications of biotechnology
    • Integrate molecular knowledge into analysis and design experiments

    Prerequisites by Topic
    • Basic terminology of nucleic acids, proteins, and other biomolecules

    Course Topics
    • Syllabus, history, safety and ethics in biotechnology (1 class)
    • Lifelong learning in biotechnology (1 class)
    • Different types of biotechnology (1 class)
    • Impact of biotechnology on engineering (1 class)
    • Basic skills - doing, speaking, thinking biotech (2 classes)
    • Isolating and manipulating biomolecules, DNA, proteins (2 classes)
    • Genetic engineering/cloning (3 classes)
    • Transformations/fermentations (2 class)
    • Operons and transformations (1 class)
    • Infections/transfections (1 class)
    • Polymerase chain reaction (2 classes)
    • Forensics (2 classes)
    • Design project presentation and reevaluation (outside class time half a day Saturday)
    • Advanced topics (if time allows)
    • Review

    Laboratory Topics
    • Intro to biotechnology methods
      • Setting up a legal scientific notebook
      • Laboratory safety and ethics
    • Chemistry needed for biotechnology methods
      • Measuring very small volumes
      • Measuring mass
      • Making solutions
      • Making dilutions
      • Basic biotechnology calculations
    • Role of biomolecules in biomolecular engineering
      • Understanding design of two strands of DNA
      • DNA resolving gels
      • DNA isolation
      • Quantitation of DNA via gel electrophoresis
      • Quantitation of DNA via spectrophotometer
    • Manipulations of biomolecules models for molecular engineering
      • Transformation of bacteria with plasmid (model of switches at work)
      • Restriction analysis of pre cut DNA sequence (phage)
      • Crime scene MSOE - DNA fingerprinting
      • Visiting a crime lab
      • Data analysis
    • Amplification models for molecular engineering
      • Polymerase chain reaction
      • Extended activities

    Coordinator
    Dr. Gul Afshan
  
  • EB 2420 - Informatics Computing I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course is to introduce BioE students to computer programming logics and Web development. First, Scratch will be introduced to emphasize the concept and flow of computer programming. Second, C will be introduced to emphasize the syntax and structure of a computer programming language. Third, MATLAB and Perl will be introduced to teach how procedural languages work to solve problems. Then, HTML and JavaScript will be introduced and practiced to create Web pages. Lastly, the basic concepts and data types of Python will be introduced. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the programming concepts and logics
    • Understand the syntax and structure of C
    • Understand the basics of MATLAB and Perl
    • Use HTML and JavaScript to create Web pages
    • Understand the basics of Python

    Prerequisites by Topic
    • None

    Coordinator
    Dr. Jung Lee
  
  • EB 2430 - Informatics Computing II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is to introduce Java programming fundamentals and the basic concepts of algorithms and data structures to BioMolecular Engineering students who took the EB-2420 course as a prerequisite. Emphasis is placed on how to write Java programs using object-oriented concepts, analysis of algorithms and their complexity and performance, and concepts of data structures. The major topics to cover include Java fundamentals, Arrays and ArrayLists, sorting and search algorithms, Abstract Data Types (ADTs), Monte Carlo simulations, data structures based on LinkedLists, Stacks, Queues, and Trees. (prereq: EB 2420 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand object-oriented programming concepts
    • Write Java programs using object-oriented concepts
    • Understand various basic sorting and searching algorithms
    • Understand abstract data types (ADTs)
    • Understand basic concepts of data structures
    • Perform Monte Carlo simulations

    Prerequisites by Topic
    • None

    Course Topics
    • Object-oriented concepts
    • Data types and operators
    • Variables, declarations, and assignments
    • Decision making and iterations
    • Recursion
    • Input and output
    • Arrays and ArrayLists
    • Search and sorting algorithms
    • Time and space complexity
    • Random number generation and simulations
    • Abstract data types (ADTs)
    • LinkedLists
    • Stacks and queues
    • Hashing
    • Graphs and trees

    Laboratory Topics
    • Introduction to Java Programming (1 lab)
    • Data types and operators (1 lab)
    • Decision making and iteration (1 lab)
    • Recursion (1 lab)
    • Arrays and ArrayLists (1 lab)
    • Time and space complexity (1 lab)
    • Random simulation (1 lab)
    • Stacks, Queues, and LinkedLists (1 lab)

    Coordinator
    Dr. Jung Lee
  
  • EB 2510 - Thermodynamics I

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The course focuses on the first and second laws of thermodynamics and their applications to chemical, biochemical and biomolecular systems. Course topics include thermodynamic and volumetric properties of pure substances, irreversible and reversible processes, heat effects in batch and flow processes, entropy, refrigeration cycles, liquefaction, and equilibrium are explored. (prereq: MA 235 ) (coreq: PH 2031 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain a fundamental understanding of the first and second laws of thermodynamics and their relevance in the biomolecular world
    • Develop a fundamental understanding of concepts such as: entropy, enthalpy, free energy, internal energy, the conservation of energy, etc. and their relevance in biomolecular engineering
    • Identify problems, formulate solutions and solve using thermodynamic principles
    • Understand fundamental equations of state applied to ideal/real gases
    • Apply fundamental thermodynamic relationships at the molecular level
    • Use thermodynamic properties of fluids to solve problems

    Prerequisites by Topic
    • Differential equations, basic principles of thermodynamics

    Course Topics
    • Thermodynamics-basic definitions: heat, work, energy, pressure, temperature, force
    • First Law of Thermodynamics: Conservation of energy principle and its application to real world problems
    • Ideal and Real Gas Laws
    • Heat effects
    • Second Law of Thermodynamics: Entropy, free energy
    • Thermodynamic properties of fluids
    • Flow processes
    • Refrigeration and liquefaction
    • Equilibrium

    Coordinator
    Dr. Serdar Ozturk
  
  • EB 3100 - BioMolecular Engineering Junior Seminar

    1 lecture hours 0 lab hours 1 credits
    Course Description
    As the second in the sequence of three courses, this BioE junior seminar course will be highlighted with presentations by guest speakers from industry and/or academia, by faculty members in the BioE program, and by junior BioE students. Seminars will focus on current topics relevant to biomolecular engineering. Students will learn to critique, analyze, present and discuss the current research, methods, techniques, machines and concepts in a group discussion setting. In addition, this course will provide the opportunity for junior BioE students to rank their potential senior design project as well as interact with the senior BioE students. (prereq: EB 2100 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply knowledge of the basic sciences and engineering to understand the materials being presented by speakers
    • Understand the importance of a biomolecular engineer on multidisciplinary teams with professional ethics
    • Define and describe professional and ethical responsibility of a biomolecular engineer
    • Communicate effectively with colleagues and with nontechnical audiences, in oral, written and graphical forms
    • Compose an effective seminar logbook
    • Communicate professionally by participating in active discussions with the various speakers
    • Learn professional presentation skills by presenting to the senior BioE students
    • Define and identify contemporary engineering/scientific issues of the field
    • Understand the direct and/or indirect impact of biomolecular engineering on the identified contemporary scientific issues in a global, economic, environmental and societal context
    • Define lifelong learning
    • Recognize the need for lifelong learning approaches towards new professional ideas
    • Learn what professional routes exist for graduates with a B.S. in biomolecular engineering, including careers in industry, research, academia and graduate school

    Prerequisites by Topic
    • Knowledge of the terminologies in chemistry, physics, and biology
    • Basic understanding of organic chemistry, biochemistry, and biotechnology
    • Basic understanding of biomolecules and their structure including proteins, nucleic acids, lipids, and carbohydrates
    • Knowledge of basic presentation skills

    Course Topics
    • Introduction
    • BioE faculty senior design project idea presentations for the upcoming year
    • Presentation by invited speakers (topic will change from year to year)
    • BioE junior presentations to BioE seniors
    • BioE senior presentations to BioE freshmen and sophomores
    • Course learning assessment survey and questionnaire (will be done in groups)

    Coordinator
    Dr. Jung Lee
  
  • EB 3200 - Bioanalytical Instrumentation

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces bioprobing, bioanalyzing and high throughput data technology as applied to the field of biomolecular engineering. Mass spectroscopy, Fourier-transform infrared spectroscopy (FTIR), electron microscopy (EM) and atomic force microscopy (AFM) are introduced. High-throughput analytical techniques are studied through the use of plate reader and PalpatorTM. Laboratory experiments provide hands on experience and reinforce material taught in lecture. (prereq: PH 2031 , EB 2410 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify key components of several machines used for probing and analysis of biomolecules
    • Demonstrate understanding of concepts, principles of operations and applications of the field
    • Recognize the vital components of sample preparation for the probing and analysis
    • Distinguish between the principles and constraints of high and low throughput
    • Recognize that bioprobing and bioanalysis need constant practice and discipline
    • Practice safety and ethics involved with the field of bioprobing and bioanalysis
    • Recognize and list the hazards associated with the field of bioprobing and bioanalysis

    Prerequisites by Topic
    • Biomolecules structure and function. Physics of mechanics, Physics of electricity and magnetism and modern physics

    Course Topics
    • Atomic Force Microscopy (AFM)-the basics
    • AFM-beyond the basics - using AFM to characterize individual biomolecules, such as DNA
    • Fourier-Transform Infrared Spectroscopy (FT-IR). Theoretical foundations of vibrational spectroscopy. Principles of operation of IR and FT-IR
    • FT-IR in biomolecular engineering: spectra of functional groups, application of FT-IR to secondary structure of proteins
    • Safety, hazards, discipline, sample prep
    • Principles of plate reading/immunolabeling
    • Applications/constrains of plate reading/immunolabeling
    • Electron microscopy-principles and applications
    • Mass spectroscopy-principles and applications
    • Basic principles of operation of PalpatorTM and the range of its possible applications in the biomolecular engineering field
    • Using the PalpatorTM for high-throughput cellular characterization and cellular treatment efficiency, i.e. pharmaceutical efficacy or toxicity testing

    Laboratory Topics
    • Laboratory safety, hazards, discipline
    • Hands on AFM-contact and tapping mode imaging of objects of known morphology. Basic use of nanoscope
    • Analysis software
    • Hands on AFM. Preparation of biological samples: DNA on mica. Contact and tapping mode AFM of DNA on mica
    • Protein sample preparation. Acquiring spectra of buffer and BSA in buffer
    • Analysis of FT-IR spectra of BSA in buffer and determination of changes in the secondary structure of proteins
    • Hands on sample prep and Plate reader principle and application
    • Tour to Mass Spec facility at MCW
    • Hands on sample prep and PalpatorTM application to cell characterization

    Coordinator
    Dr. Matey Kaltchev
  
  • EB 3300 - Molecular Nanotechnology

    3 lecture hours 0 lab hours 3 credits


    Course Description
    This course explores the underlying science behind nanotechnology, the tools used to create and characterize nanostructures, and potential applications of such devices. The infusion of nanotechnology into areas of food safety, agriculture, medicine, healthcare, the environment, consumer goods, biomaterials and bio-based engineering disciplines are explored. Potential risks of nanotechnology are discussed. The course covers topics that range from a brief review of the physical principles of electric fields and forces and the nature of chemical bonds and nanofabrication to the current and future applications of nanotechnology. (prereq: BI 102 , PH 2031 )

     


    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Define terms like nanotechnology, bionanotechnology and nanobiotechnology
    • Discuss the nanofabrication methods
    • Characterize nanomaterials/nanodevices and analyze data
    • Discuss molecular nanotechnology applications in food safety, agriculture, medicine, pharmaceuticals, environment, as well as other bio-based engineering disciplines; and, be able to apply molecular nanotechnology into these fields
    • Discuss the philosophy and ethics of molecular nanotechnology

    Prerequisites by Topic
    • None
    Course Topics
    • Introduction to nanoscience
    • The nature of nanotechnology (from nanoscience to nanotechnology)
    • Nanomaterials and nanostructures
    • Nanofabrication: top-down versus bottom-up
    • Nanofabrication: chemical synthesis and modification
    • Characterization at the nanoscale
    • Demonstration: nanofabrication and nano-characterization
    • Bionanotechnology and nanobiotechnology
    • Medical nanotechnology and nanomedicine
    • Special topic I: Design of nanoparticles for cancer treatment
    • Nanotechnology in the agri-food sector
    • Special topic II: nanoparticle interactions with plants
    • Nanotechnology and environment
    • Philosophy and ethics of nanotechnology

    Coordinator
    Dr. Wujie Zhang

  
  • EB 3400 - Food Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course covers the up-to-date fields of food technology and engineering, including food manufacturing, food storage, and food quality and safety control. Topics range from food ingredients, food processing and packing, food freezing and freeze-drying, molecular gastronomy, and food sensory qualities and evaluation to HACCP and cGMP. (prereq: CH 223 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand and design basic food manufacturing processes
    • Understand the food storage mechanism and methods; and design food storage processes
    • Understand and discuss the importance of food quality and safety control, especially HACCP and cGMP systems; and design food products/processing processes under the HACCP and cGMP guidelines.

    Prerequisites by Topic
    • None

    Course Topics
    • None

    Coordinator
    Dr. Wujie Zhang
  
  • EB 3410 - Applications of Biotechnology

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The course covers applications of biotechnology. An overview of important applications of modern biotechnology on biomolecular engineering is provided. Qualitative and quantitative controls, relevant biotech processes, and social and economic impacts of biotechnology are discussed. Laboratory experiments reinforce the concepts from the lecture and emphasize techniques used in biomolecular engineering. (prereq: EB 2410 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Discuss the applications of biotechnology
    • Discuss the biotechnology tools in regard to their application in biomolecular engineering
    • Design and perform simple biotechnology experiments, including hypothesis formation, measurements, and positive and negative controls
    • Demonstrate the laboratory skills related to basic biotechnology techniques
    • Analyze the experimental data using basic science and engineering skills
    • Discuss the new developments in biotechnology in regard to the biomolecular engineering field
    • Apply their knowledge of biology, chemistry, and biotechnology to solve basic problems in the biotechnology and biomolecular engineering field

    Prerequisites by Topic
    • None

    Course Topics
    • Biotechnology: science and technology
    • Manipulating biomolecules: DNA
    • Polymerase chain reaction
    • Manipulating biomolecules: protein
    • Protein electrophoresis
    • Western blotting
    • Immunological applications
    • ELISA
    • Plant biotechnology
    • Biological engineering and scale up of industrial process
    • Impact of biotechnology on economic and societal issues
    • Student presentations
    • Exam

    Laboratory Topics
    • Nucleic acid applications: polymerase chain reaction
    • Protein applications: protein isolation and purification
    • Protein applications: PAGE
    • Protein applications: Western blot
    • Immunological applications: ELISA
    • Plant biotechnology
    • Lab exam

    Coordinator
    Dr. Eryn L. Hassemer
  
  • EB 3411 - Applications of Biotechnology II

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course is a continuation of Principles of Biotechnology (EB 2410 ) and Applications of Biotechnology (EB 3410 ) and covers applications of biotechnology.  New modern biotechnology techniques and contemporary issues are discussed along with problem-based applications. (prereq: EB 3410 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the biotechnology tools previously learned toward applications in biomolecular engineering
    • Discuss new developments in a variety of biotechnology fields in regard to the biomolecular engineering field
    • Discuss the components necessary for founding a biotechnology company
    • Apply their knowledge of biology, chemistry, and biotechnology to solve basic problems in the biotechnology and biomolecular engineering field. 

    Prerequisites by Topic
    • Knowledge of core biotechnology applications such as bacterial transformation, cloning, forensic analysis, DNA extraction, PCR, protein extraction, Western blotting, ELISA and plant biotechnology
    • Ability to apply the core biotechnology applications to biomolecular engineering in a manufacturing setting, i.e. scale-up
    • Knowledge of how biotechnology is used in current practice and in the field of biomolecular engineering
    • Ability to use biology, chemistry and biotechnology to solve basic problems in the biotechnology and biomolecular engineering field

    Course Topics
    • Emergence of a biotechnology industry
    • Applications in animal biotechnology
    • Applications in agricultural biotechnology
    • Applications in medical biotechnology
    • Applications in industrial biotechnology
    • Applications in environmental biotechnology
    • Patents in molecular biotechnology instustry: legal and ethical issues
    • Founding a biotech company
    • Marketing a biotech product
    • Biotechnology opportunities
    • Ethics in biotechnology
    • The future of biotechnology
    • Student presentations

    Coordinator
    Dr. Eryn L. Hassemer
  
  • EB 3420 - Bioinformatics I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Bioinformatics is a practical discipline to organize and understand huge amount of biological information, encompassing the analysis of biological sequences and structures. This course introduces students to the fundamental foundation of bioinformatics and its ever-increasing power in solving various complex problems in other scientific arenas including medicine and drug development. Starting with the detailed structures and physicochemical properties for the basic building blocks of nucleic acids and proteins, students will learn not only how to navigate the human genome as well as other completed genomes in search of given specific biological information, but also how to retrieve sequence and structure information out of the various specialized databases. In particular, students will learn computational algorithms and approaches as how to effectively and efficiently search against a wide variety of databases for homologs of a gene, RNA or protein sequence. This course is to lay the foundation for the subsequent Bioinformatics II course. (prereq: EB 2430 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Acknowledge various contemporary issues and appreciate the impact of bioinformatics in genomics, proteomics, human disease research, and drug development
    • Apply knowledge of chemistry to understand the structures and physicochemical properties of the basic building blocks of biomolecules and, in turn, to understand biomolecular structure and function
    • Navigate the human genome to locate a gene of interest on a chromosome and interpret its results
    • Understand the computational algorithms/approaches pertinent to similarity search for an RNA or protein sequence query
    • Search against various specialized biological databases for a query and analyze/interpret the hits
    • Understand the basic principles and strategies of comparative analysis of protein sequences
    • Apply knowledge of mathematics, science, and engineering to bioinformatics

    Prerequisites by Topic
    • None

    Coordinator
    Dr. Jung Lee
  
  • EB 3430 - Bioinformatics II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces students to the practical application of currently available bioinformatics tools to various real-world problems including comparative analysis of homologous biological sequences to address evolutionary/phylogenetic relationships between a wide variety of different organisms, 3D visualization of large complex biological macromolecules, cross-analysis of biological sequences and their corresponding 3D structures to identify and characterize various redundant sequence and structural motifs essential in defining both the higher-order 3D architecture and the cellular function of many biologically active macromolecules, and molecular modeling to predict the 3D structure of biologically important macromolecules whose higher-order structure is not available yet. (prereq: EB 3420 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Search, collect, and align homologous biological sequences of interest
    • Create a quality alignment of biological sequences
    • Build and interpret a phylogenetic tree based on well-aligned biological sequences
    • Derive sequence-structure relationships by comparing biological sequences and their structure data
    • Compare the 3D structures of homologous biomolecules
    • Visualize and appreciate the detailed 3D structures of very complex biomolecules using various molecular visualization tools
    • Identify and characterize various sequence and structural motifs from a detailed cross-analysis of biological sequences and their corresponding higher-order 3D structures
    • Perform homology modeling to predict the 3D structure of a biological sequence whose structure is not yet available

    Prerequisites by Topic
    • None 

    Course Topics
    • RNA sequence analysis
    • The Tree of Life: phylogenetic relationships between organisms
    • Sequence-Structure relationships of biological macromolecules
    • 3D structure of protein and RNA
    • 3D visualization of biomolecular structures and their analysis
    • Sequence and structural motifs in biological macromolecules
    • Homology modeling of novel biological macromolecules

    Laboratory Topics
    • Comparative analysis of RNA sequences (2 labs)
    • The Tree of Life and phylogenetic analysis (2 labs)
    • Sequence-structure relationships of biomolecules (1 lab)
    • Comparative analysis of 3D protein and RNA structures (1 lab)
    • 3D visualization and analysis of biomolecular structure (1 lab)
    • Sequence and structural motifs in biomolecules (1 lab)
    • Homology molecular modeling (1 lab)

    Coordinator
    Dr. Jung Lee
  
  • EB 3510 - Thermodynamics II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course surveys the use and application of classical and statistical thermodynamics to chemical, biochemical and biomolecular systems. It covers the application of the First and Second Laws of thermodynamics to living systems, solution thermodynamics, free energy and phase and reaction equilibriums are used to examine biomolecular reactions, energy conversion, binding, molecular thermodynamics (including an introduction to statistical thermodynamics). Examples and applications draw from chemical and biomolecular engineering examples. (prereq: EB 2510 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand solution thermodynamics, chemical and bio-reaction equilibria and phase equilibria and be able to use thermodynamic properties of fluids to solve problems
    • Gain a fundamental understanding of the thermodynamics principles and molecular thermodynamics and their relevance in the biomolecular world
    • Develop a fundamental understanding of concepts such as: entropy, enthalpy, free energy, internal energy, the conservation of energy, etc. and their relevance in biomolecular engineering
    • Identify problems, formulate solutions and solve using thermodynamic principles
    • Understand fundamental equations of state applied to intramolecular and intermolecular interactions
    • Apply fundamental thermodynamic relationships at the molecular level for such events as molecular cooperativity and binding

    Prerequisites by Topic
    • None

    Course Topics
    • Solution thermodynamics
    • Phase equilibria
    • Chemical reaction equilibria
    • Molecular thermodynamics
    • Introduction to statistical thermodynamics
    • Thermodynamic extremum principles to predict equilibria
    • Entropy and Boltzmann distribution
    • Driving forces and free energies
    • Intermolecular interactions
    • Binding

    Coordinator
    Dr. Serdar Ozturk
  
  • EB 3520 - Engineering of Controlled Drug Delivery

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course addresses the engineering principles behind the development and understanding of controlled drug delivery systems. This course focuses on understanding the drug delivery process and industrial-relevant techniques used for the design of specific formulations. The topics range from general biological barriers to drug delivery and pharmacokinetics to synthetic drug/gene delivery vectors and targeted drug delivery. (prereq: EB 2250 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Discuss basic pharmacology, pharmacokinetics and pharmacodynamics
    • Discuss the principles of prodrug design and design prodrugs as drug delivery systems
    • Discuss physiological and chemical barriers for drug delivery
    • Discuss and design the carriers for drug delivery
    • Discuss different controlled drug delivery systems and understand the FDA requirements for controlled release systems; and, be able to design controlled drug delivery systems under the FDA requirements
    • Discuss targeted drug delivery, especially to the brain and tumor; and, be able to design targeted drug delivery systems

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to drug delivery
    • Pharmacology, pharmacokinetics and pharmacodynamics
    • Physiological and biochemical barriers to drug delivery
    • Prodrugs as drug delivery
    • Engineered carriers and vectors in drug delivery
    • Diffusion-controlled drug delivery systems
    • Dissolution-controlled drug delivery systems
    • Erodible drug delivery systems
    • Osmotic-controlled drug delivery systems
    • Oral controlled-release delivery
    • Targeting approaches to drug delivery
    • Site-specific drug delivery
    • Bioconjugates and chemical drug delivery
    • Market and FDA requirements for controlled release products

    Laboratory Topics
    • Biopolymer purification to achieve pharmaceutical grade
    • Drug stability
    • Alginate-based microcapsules preparation
    • Release profiles of encapsulated drugs

    Coordinator
    Dr. Wujie Zhang
  
  • EB 3530 - Cell Culture Lab for BioMolecular Engineering

    1 lecture hours 4 lab hours 3 credits
    Course Description
    The course presents valuable hands-on experience in cell culturing aseptic techniques and their applications in industrial manufacturing and bio-manufacturing. Basics of cell culture techniques, controls and conditions, safety and hazards, types of cell culture, cell environment, cryopreservation and storage of cell lines, good cell banking procedures, alternative cell culture systems, process protocols, bioreactor design and operation, cell growth models and emerging technologies will be discussed and practiced. (prereq: EB 3410 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Get BSL2+ trained
    • Perform cell culture using mammalian cell lines
    • Prepare media and recognize the vital components of media and perform aseptic techniques imperative for primary and immortalized mammalian cells
    • Conduct cell count, design growth curve experiments, and formulate conditions for optimal transient transfection of cells
    • Identify machines used in cell culture
    • Recognize critical components of the mechanism of how cell culture reagents work and impact of cell culture on cell engineering
    • Handle calculations associated with cell culture and be able to use those in new situations
    • Recognize that the field of cell culture needs constant practice and discipline
    • Recognize the engineering application of cell culture to the design, analysis and control of chemical, physical, and/or biological processes
    • Practice safety and ethics involved with the field of cell culture
    • Recognize the hazards associated with these processes

    Prerequisites by Topic
    • Basic knowledge on cell, biomolecules and metabolism from BI 102 , CH 223 , and EB 2240  

    Course Topics
    • Syllabus, introduction to cell culture
    • Aseptic techniques/passaging counting and housekeeping cells
    • SAFETY AND HAZARDS guest speaker from EHS department
    • Industrial use of plant and animal cell culture
    • Transfer of foreign DNA into animal and plant cells
    • Applications and scale-up
    • Design of the projects discussion
    • Immunostaining

    Laboratory Topics
    • Aseptic techniques/counting cells/scopes and passaging
    • Senior design mini project: (select and perform 1)
    • Design and establish a process of cell healing (scratch assays). Can be done on all available cell lines, including stem cells
    • Design transformation of embryonic stem cells into a different kind. Can be done on available embryonic rabbit stem cells
    • Design cellular differentiation of cells, changing them into a tissue and establishing the mechanical properties using a palpator. Can be done on all cell line

    Coordinator
    Dr. Gul Afshan
  
  • EB 3561 - Unit Operations-Production Scale Bioseparations

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course applies the principles of transport phenomena and thermodynamics to the design and characterization of batch and continuous separation processes. Graphical and numerical techniques are used in the design and scale-up of associated process equipment. The general processes involved in the working of various unit processes are studied. Problems are drawn from the bio-processing industries and applications. (prereq: CH 201 , EB 3510 , EB 3620 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the principles of transport phenomena and thermodynamics to design and characterize batch and continuous separation unit operations
    • Describe the working of various unit operations
    • Design and scale-up the equipment for various unit operations

    Prerequisites by Topic
    • Differential equations

    Course Topics
    • Introduction to bioproducts and bioseparations
    • Cell lysis and flocculation
    • Filtration
    • Sedimentation, centrifugation
    • Extraction and distillation
    • Liquid chromatography, adsorption
    • Precipitation
    • Crystallization
    • Drying

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 3570 - Kinetics and Bioreactor Design

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course addresses the selection of the optimal configuration and size of production scale bioreactors for specific applications. The design of fermentation reactors and cell culture type bioreactors and their applications will be discussed. Course topics include: reactor types, reaction kinetics (batch reactor, semi-continuous reactor, continuous reactors (CSTR, PFR, PBR), Chemostats), and fundamental reaction parameters, substrate consumption kinetics, production kinetics for bioreactions, mass and energy balances on the reactors. Course material is applied to practical reactor selection, sizing, scale-up and operation. (prereq: BI 102 , CH 223 , EB 3510 , EB 3620 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Derive and apply macroscopic mole and energy balances to size reactors
    • Analyze lab data to ascertain the kinetics of a reaction and scale-up design of a bioreactor from lab data
    • Distinguish between various types and arrangements of reactors and understand their operation
    • Design or select a bioreactor for a specific purpose
    • Use a mathematical tool to solve systems of equations

    Prerequisites by Topic
    • Chemical and Biochemical reaction kinetics, collection of reaction rate data, MATLAB programming, mass and energy balances

    Course Topics
    • Mole balances and introduction to polymath
    • Design equations, rate vs. conversion plots
    • Types of reactors, reactor arrangement/staging, rate laws and stoichiometry
    • Isothermal reactor design-irreversible and reversible reactions
    • Pressure drop, membrane reactors
    • Batch, semi-batch, CTSR, recycle and aerated reactors
    • Analysis of rate data, multiple reactions, heat effects/energy balance
    • Enzymes, MM kinetics, enzyme inhibition, fermenters
    • Bioreactors, cell growth kinetics/rate laws, scale up and operation
    • Review of reactor design, selection, impeller selection as a function of cell type
    • Problem solving using polymath

    Coordinator
    Dr. Serdar Ozturk
  
  • EB 3600 - -omics in Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The course focuses on the theory and practice of -omics. In addition, the course provides an introduction to the principal aims, technologies, and statistical issues arising in structural and functional genomics and proteomics. Design, engineering, and manipulations of the natural and artificial genome and proteome are discussed. Students learn about the engineering applications of structural, functional, evolutionary and comparative genomics, transcriptomics, proteomics, epigenomics, metagenomics, and interactomics.  (prereq: none) (coreq: EB 3410 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the principal aims, technologies, and statistical issues in genomics and proteomics
    • Gain an understanding of the natural and artificial genome and proteome
    • Describe instrumental methods used in genomics and proteomics
    • Gain an understanding of the applications used in genomics, transcriptomics, proteomics, epigenomics, metagenomics, and interactomics
    • Write a scientific report in standardized format

    Prerequisites by Topic
    • Cellular biology
    • Genetics
    • Molecular biology
    • Microbiology
    • Biotechnology

    Course Topics
    • Introduction to -omics
    • Genome sequencing acquisition and analysis
    • Next gen sequencing
    • Comparative genomics in evolution and medicine
    • Genomic variation
    • Transcriptomics
    • Epigenomics
    • Metagenomics
    • Introduction & applications of microarrays
    • Proteomics
    • Systems biology and synthetic biology
    • Student presentations

    Coordinator
    Dr. Eryn L. Hassemer
  
  • EB 3610 - Transport Phenomena I

    4 lecture hours 0 lab hours 4 credits
    Course Description
    Basic principles of mass, energy, and momentum conservation are used to derive the integral and differential forms of the transport equations. These equations are used to solve fluid flow problems of theoretical, pedagogical and practical interest. Transport through common biochemical processing equipment including pipes and reactors are considered in detail. Dimensional analysis is applied to fluid flow scenarios of interest. This course focuses on the fluid flow aspect of transport phenomena (prereq: MA 235 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Derive and apply macroscopic mass, momentum and energy balances and solve engineering problems related to fluid flow
    • Solve continuity and Navier-Stokes equations to analyze engineering problems related to Newtonian fluid flow
    • Employ dimensional analysis in fluid flow analysis and experimentation
    • Distinguish between Newtonian and various types of non-Newtonian fluids’ behavior
    • Explain fluid flow behavior on a molecular as well as macroscopic level
    • Describe flow parameters and forces acting on objects that are interacting with fluids
    • Explain the flow in pipes and ducts and differences between laminar and turbulent flow and solve related engineering problems

    Prerequisites by Topic
    • Differential equations
    • Vectors

    Course Topics
    • Introduction to transport phenomena
    • Viscosity and mechanisms of momentum transport
    • Equations of change for isothermal systems- equation of motion and equation of continuity
    • Navier-Stokes equation, Newtonian and non-Newtonian fluids
    • Approximations of Navier-Stokes equation
    • External flow, frictional and pressure drag
    • Time dependent flow
    • Laminar/turbulent flow in pipes, frictional losses, experimental devices used to measure fluid flow
    • Friction factors for flow in various geometries
    • Conservation laws of mass, momentum and energy with engineering applications, Bernoulli equation
    • Dimensional analysis
    • Flow in pipes, ducts, open channels, pumps and reactors
    • Computational fluid dynamics simulation demonstration

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 3620 - Transport Phenomena II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course covers concepts, procedures, and techniques related to solving heat and mass transfer problems with biological content, context, and parameters including applications to biomolecular engineering. Mammalian, plant, bacterial, industrial food and biological processing, and bioenvironmental (soil and water) systems are presented. Integral and differential transport equations are applied to the solution of heat and mass transfer problems. Mass transfer includes diffusion, capillarity, convection, and dispersion mechanisms with sources and sinks such as metabolic heat generation and oxygen consumption. Heat transfer includes conduction, convection and radiation processes including bio-heat transfer, thermoregulation, sterilization, drying, freezing and global warming. Application of heat and mass transfer problem solving skills for biological systems is the focus. (prereq: EB 3610 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply knowledge of mathematics, science, and engineering
    • Display a thorough foundation in the basic sciences and sufficient knowledge in the concepts and skills required to design, analyze, and control physical, chemical, and biological processes in the field of biomolecular engineering
    • Gain a fundamental understanding of the modes of heat and mass transfer
    • Use the governing equations and boundary conditions of heat transfer and understand their relevance in the biological world
    • Gain a fundamental understanding of conductive and convection heat transfer and how it applies to biomolecular problems
    • Develop a fundamental understanding of concepts such as thermal conductivity, thermal diffusivity, convective and radiative heat transfer, diffusion, dispersion, and convective mass transfer etc. and their relevance to biomolecular engineering
    • Identify problems, formulate solutions, and solve using mass and heat transfer principles
    • Apply fundamental heat and mass transfer relationships to processes such as heat exchange, evaporation, condensation, boiling and drying operations in biological and biomolecular systems

    Prerequisites by Topic
    • None 

    Course Topics
    • Equilibrium, energy conservations, and temperature
    • Modes of heat transfer
    • Governing eqn and boundary conditions of heat transfer
    • Conduction of heat transfer: Steady state
    • Conduction heat transfer: Unsteady state
    • Convection heat transfer
    • Heat transfer with change of phase
    • Radiative heat transfer
    • Equilibrium, mass conservation, and kinetics
    • Modes of mass transfer
    • Governing eqns and boundary conditions of mass transfer
    • Diffusion mass transfer: Steady state

    Coordinator
    Dr. Serdar Ozturk
  
  • EB 3800 - Drug Discovery and Development

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The Drug Discovery and Development course is specifically targeted for those students who wish to pursue a career or look for an internship position in major pharmaceutical companies. To achieve this goal, not only will the course introduce students to the processes of and the strategies for drug discovery and development, but also various advanced topics in drug discovery and development will be covered including, but not limited to, molecular basis of diseases, identification and validation of drug targets, drug metabolism, drug-drug interactions, discovery and optimization of lead compounds, and molecular mechanisms of drug action and/or resistance. Students will also learn more about how bioinformatics could be utilized in facilitating today’s drug discovery and development. (prereq: CH 223 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe drug discovery and development processes
    • Understand the strategies for drug discovery and development
    • Understand the molecular basis of diseases including orphan diseases
    • Understand basics of drug metabolism
    • Understand the strategies for drug discovery and development
    • Understand drug target identification and validation
    • Understand the identification and optimization of lead compounds
    • Describe the mechanisms of drug action and resistance
    • Know about the major lines of drugs under development
    • Appreciate the impact of bioinformatics on modern drug discovery and development

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to drug discovery and development - Past, current, and future
    • Drug discovery and development pipelines - Problems and hopes
    • Considerations in drug discovery and development
    • Strategies in drug discovery and development
    • Drug metabolism and pharmacokinetics
    • Types of drugs under development

    Coordinator
    Dr. Jung Lee
  
  • EB 3810 - Tissue Engineering

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course covers the up-to-date fields of tissue and regenerative engineering, including scaffold design and fabrication, microfabrication technology in tissue engineering, product and process design, and clinical translation of engineered tissues/organs. Topics range from stem cells and embryogenesis, scaffold design and fabrication, organ-on-chips, bioreactors, vascularization, bioprinting, skin tissue engineering, bone/cartilage tissue engineering, cardiovascular tissue engineering, neural tissue engineering, tissue-engineered product manufacturing to clinical translation and ethical issues in tissue and regenerative engineering. (prereq: EB 2250  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the molecular and cellular basis of tissue formation
    • Understand various microfabrication technologies in tissue engineering
    • Design scaffolds for tissue engineering
    • Understand the strategies for tissue engineering in different organ/tissue systems: skin, bone/cartilage, cardiovascular and neural
    • Understand and identify the regulatory requirements and ethical issues during clinical translation of tissue engineered products
    • Integrate chemistry, biology, and biomaterials to provide potential tissue engineering products to human health problems

    Prerequisites by Topic
    • Biocompatibility
    • Biodegradation

    Course Topics
    • Cells for tissue engineering
    • Clinical grade production of MSCs        
    • Bioscaffold for tissue engineering
    • Scaffold design and fabrication
    • Bioreactors for tissue engineering                           
    • Controlled release strategies in tissue engineering
    • Tissue fabrication technology: Microfabrication 
    • Scaffold Design and Fabrication: Organoids and organs-on-a-chip
    • Scaffold design and fabrication: Bioprinting
    • Scaffold design and fabrication: Decellularization  
    • Scaffold design and fabrication: Vascularization
    • Skin tissue engineering
    • Bone and cartilage tissue engineering
    • Neural tissue engineering
    • Cardiovascular tissue engineering 
    • Product and process design: Toward industrial TE manufacturing
    • Clinical translation of tissue engineering
    • Ethical issues in tissue engineering

    Coordinator
    Dr. Wujie Zhang
  
  • EB 3830 - Heat Transfer Equipment in Process Engineering

    3 lecture hours 0 lab hours 3 credits


    Course Description
    This elective course introduces the most common heat transfer equipment utilized in bio and chemical industries. The working principles and applications of heat exchangers, heat transfer process in agitated vessels, evaporators, and dryers will be covered briefly. The details of design considering the size, pressure drop, and internal configuration, scale up and operation of the equipment will be studied. Throughout the course, the examples will be drawn from bio and chemical process applications. (prereq: EB 3620  or equivalent course approved by the instructor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain fundamental understanding of heat transfer mechanism, applied methods, and working principles of heat transfer equipment used in bio and chemical industries
    • Identify requirements of the equipment and formulate solutions
    • Apply the momentum, heat, and mass transfer principles to find optimum design choice 
    • Analyze the process data and interpret the performance of the equipment while considering the economic aspects of the process

     


    Prerequisites by Topic
    • Conduction and convection heat transfer
    • Mass and momentum transfer principles
    • Mass and energy balances

    Course Topics
    • Heat transfer principles
    • Design and analysis of heat exchangers
    • LMTD and NTU methods
    • Boilers and condensers
    • Evaporation process principles and equipment
    • Drying process principles and equipment

     


    Coordinator
    Dr. Serdar Ozturk

  
  • EB 3840 - Bioinformatics III

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Biomolecular misfolding and aggregation, not genetic mutations, is de facto responsible for the vast majority of human diseases. As an extension to the two existing Bioinformatics courses, EB 3420  and EB 3430 , Bioinformatics III will introduce more advanced topics in Bioinformatics, ranging from identification and characterization of sequence and structural motifs implicated in higher-order biomolecular architecture to homology modeling to predict biomolecular 3D structure. In particular, students will learn about how to apply both thermodynamic and comparative algorithms to better understand biomolecular folding mechanisms by which a biosequence folds into its functional 3D structure, efficiently and accurately. In addition, students will learn experientially through collective discussion of most recent journal articles pertinent to contemporary Bioinformatics as well as through effective teamwork to perform lab projects. If time permits, this course will introduce how machine learning can be employed to address biomolecular structure prediction and design active pharmaceutical identities (APIs). (prereq: EB 3430 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the complexity of biomolecular 3D structure and its complex intermolecular interactions
    • Understand the implications of biomolecular folding and misfolding
    • Identify and characterize sequence and structural motifs implicated in biomolecular 3D architecture
    • Understand the impact of homology modeling on biomolecular structure prediction

    Prerequisites by Topic
    • Biological databases
    • Sequence analysis

    Course Topics
    • How a biomolecule folds and why
    • Complexity of higher-order biomolecular structure/assembly
    • Sequence and structural motifs and their roles
    • Biomolecular structure prediction: Homology modeling
    • Drug-receptor interactions: Molecular docking

    Coordinator
    Dr. Jung Lee
  
  • EB 3850 - Cosmetics: Science, Engineering & Technology

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Cosmetics products draw on the most advanced science and engineering technologies to create a growing industry of esthetic products. Cosmetic engineers, chemists, and formulators ensure the beauty products that make it onto store shelves meet industry standards for safety and consumer expectations for quality. The course will provide knowledge on the skills needed to fulfill the responsibilities of a cosmetic engineer, including tasks such as enforcing the Food & Drug Administration’s (FDA) cosmetic regulations, ensuring formula components work well together, and employing the best methods that will securely package and market such products. (prereq: junior standing and CH 223  or equivalent course)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the difference between cosmetics and makeup
    • Identify and name different types of cosmetic ingredients and formulate and identify product biochemical functions
    • Identify the impact of the cosmetic industry on society
    • Analyze and apply the interrelationship of cosmetic technology with those of the human body and metabolic processes essential to body functions
    • Participate in scientific conversations about science, engineering ,and technology of cosmetics using correct terminology
    • Identify the latest technologies and emerging and contemporary trends in the field-specific applications biotechnological mechanisms, and their impact on the personal care industry
    • Understand challenges faced as the use of biotechnology expands in the personal care industry 
    • Illustrate how personal care products are developed
    • Understand the future of personal care product development and use 

    Prerequisites by Topic
    • Names and structures of biomolecules
    • Basic chemistry and biochemistry concepts

    Course Topics
    • Introduction
    • Difference between make up and cosmetics
    • History of cosmetics
    • Basic cosmetic chemistry - Are cosmetics drugs, neutraceuticals or soaps, emulsion technology, chemical structure of oils and the form of emulsions, high and low polar oils with unique properties, connection of properties of the oil and emulsion with the organics, emulsion stabilized active ingredients for skin permeation and higher efficiency.
    • Cosmeceuticals and common cosmetic ingredients
    • Prohibited cosmetic ingredients, hypoallergenic cosmetics
    • Color additives, shelf lives, hair, skin, and eye cosmetics
    • Safety evaluation and assessment of cosmetics, labeling language vs labeling information, material facts, warning statements 
    • Consumers and stake holders
    • Packaging and marketing
    • Industrial regulation and quality: Compliance with and enforcement of laws and related FDA regulations for cosmetics. Research related to cosmetic products, ingredients, and testing
    • National and international activities; FDA’s involvement in international activities related to cosmetics, including imports and exports
    • FD&C Act: Adulterated cosmetics, misbranded cosmetics, regulations making exemptions
    • Formulation approaches and formulas
    • Production and scale up
    • Cosmetics surgery vs cosmetic dermatology vs cosmetic microbiology
    • Future of cosmetics

    Coordinator
    Dr. Gul Afshan
  
  • EB 3860 - Prokaryotic Processes

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course explores how to harness the metabolic diversity of prokaryotes for biocatalysis and bioremediation applications.  The energetics and regulation of diverse metabolic strategies are discussed in the context of environmental and industrial case studies.  Signal transduction and quorum sensing are examined as tools for managing natural and engineered microbial populations.  Students will apply these concepts to solve problems in biocatalytic pathway prediction and control. (prereq: EB 2410  and EB 2240 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Express familiarity with prokaryotic metabolic diversity
    • Describe the influence of various environmental factors on prokaryotic metabolism
    • Evaluate microbial communities as engineered systems and make informed choices about microbial system design
    • Make reasonable hypotheses about metabolic pathways for novel substrates/products
    • Describe mechanisms of global regulation, signal transduction, and quorum sensing in bacteria
    • Discuss current and future applications of prokaryotic control strategies to a variety of engineering challenges

    Prerequisites by Topic
    • Fundamentals of cellular metabolism and bioenergetics
    • Gene regulation and prokaryotic operons

    Course Topics
    • Introduction to bacterial physiology & metabolism
    • Composition & structure of prokaryotic cells
    • Biosynthetic pathways
    • Growth strategies
    • Aerobic metabolism of non-glucose substrates
    • Anaerobic metabolism
    • Chemolithotrophy
    • Metabolic pathway prediction
    • Fundamentals of metabolic regulation
    • Methods of metabolic regulation
    • Specific responses to environmental stimuli
    • Microbial survival strategies

    Coordinator
    Dr. Anne Alexander
  
  • EB 3870 - Microfluidics

    3 lecture hours 0 lab hours 3 credits


    Course Description
    This course provides an introduction to the science, technology, and engineering applications of microfluidics. Course topics will cover the variety of applications of microfluidics and common processes performed at the microscale. Discussions on various designs of the devices used in microfluidics will be undertaken, and relevant literature on these applications will be discussed in class. Topics will include mixing on microfluidic devices, lab-on-chips, organ-on-chips, diagnostic microfluidic devices, medical research, commercial products, microfluidics companies, and microfabrication processes used in manufacturing microfluidic devices. (prereq: EB 3610 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the benefits of microfluidics
    • Describe the designs and working principles of basic components of microfluidic devices
    • Recognize the varied applications of microfluidics
    • Udentify different microfabrication processes
    • Design a microfluidic chip

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to microfluidics 
    • The benefits of small scale
    • Separation of particles in microfluidics
    • Mixing in microfluidics 
    • Common components of microfluidic devices
    • PCR with microfluidics
    • Diagnostic microfluidic devices
    • Microfluidics device companies
    • Organ-on-chips
    • Droplets on a chip
    • Photolithography, soft lithography and other microfabrication methods

     


    Coordinator
    Dr. Faisal Shaikh

  
  • EB 3880 - Entrepreneurship in BioMolecular Engineering

    3 lecture hours 0 lab hours 3 credits


    Course Description
    The multidisciplinary biotechnology industry is distinct from other industries due to the sheer diversity of its applications. This creates both entrepreneurial challenges and unique opportunities. The goal of this course is to start with an understanding of entrepreneurship where basic entrepreneurial topics will be covered to demystify and inspire entrepreneurship. This is followed by focusing on BioMolecular Engineering entrepreneurship topics. Student teams will be made at the beginning of the course and they will develop start-up concepts and refine those ideas gradually through the course, eventually pitching their idea at the end of the course. (prereq: junior standing in BioMolecular Engineering)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the basic steps involved in entrepreneurship
    • Understand entrepreneurship in BioE markets
    • Understand the marketing of BioE products
    • Understand angel and venture financing and investor motivations
    • Be aware of regulatory approvals and compliances for biotech products

     


    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to entrepreneurship
    • Building great teams and networks
    • Defining your customer
    • How does the customer acquire your product?
    • How do you design and build your product?
    • How do you scale your business?
    • Introduction to BioE industry
    • Markets and challenges in the BioE industry
    • BioE business models
    • Company formation, ownership structure
    • Licensing technology, IP protection strategies
    • Marketing and financing strategies
    • Securing angel and venture capital
    • Regulatory approval and compliance for biotech products
    • Ethical considerations for BioE entrepreneurs

    Coordinator
    Dr. Faisal Shaikh

  
  • EB 4100 - BioMolecular Engineering Senior Seminar

    1 lecture hours 0 lab hours 1 credits
    Course Description
    As the last in the sequence of three courses, this BioE senior seminar course will be highlighted with presentations by guest speakers from industry and/or academia, by the BioE seniors. Seminars will cover current topics relevant to biomolecular engineering. Students will learn to critique, analyze, present and discuss the current research, methods, techniques, machines and concepts in a group discussion setting. In addition, this course will provide the senior BioE students with opportunities to evaluate their senior design project and its progress as well as to interact with the BioE juniors. (prereq: EB 3100 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Learn about biomolecular engineering and its applications in today’s society
    • Develop how to keep an effective seminar logbook
    • Develop professional communication skills by asking critical and logical questions about the materials presented by various speakers
    • Develop professional presentation skills through effective presentation to the BioE freshmen and sophomores
    • Learn about post-graduate career options with a B.S. in Biomolecular Engineering, including jobs in research, industry, academia and graduate school

    Prerequisites by Topic
    • No prerequisites by topic appended

    Course Topics
    • Introduction
    • Take-home assignment for BioE faculty senior design project idea presentations
    • Presentation by invited speakers (topics will vary from year to year)
    • BioE junior presentations to BioE seniors
    • BioE senior presentations to BioE freshmen and sophomores
    • Course learning assessment survey and questionnaire (will be done in groups)

    Coordinator
    Dr. Jung Lee
  
  • EB 4300 - Metabolic Engineering and Synthetic Biology

    2 lecture hours 3 lab hours 3 credits
    Course Description
    The course presents an overview of the latest advances in metabolic engineering and synthetic biology to modulate intracellular pathways using recombinant DNA and other manipulation techniques for engineering, biotechnological, medical, environmental, energy, and other applications. Specific application areas for discussion, using both synthetic biology and metabolic engineering technologies, include improved cellular performance for production of biopharmaceuticals, detection and/or degradation of toxins, generation of novel drugs and cell therapies, and energy generation from microbial sources. Existing research problems in biomolecular engineering are used to illustrate principles in the design of metabolic pathways, biomolecules, genetic circuits and complex biological systems with emphasis on experimental approaches to design. Design and fabrication of new biological components and systems or the re-design and fabrication of existing biological systems are discussed. Laboratory experiments reinforce the concepts from lecture emphasizing engineering and controls of synthetic biotools. (prereq: EB 3530 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply knowledge of mathematics, science, and engineering
    • Design and conduct experiments, as well as to analyze and interpret data
    • Design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
    • Identify, formulate, and solve engineering problems
    • Gain knowledge of contemporary issues
    • Use the techniques, skills, and modern engineering tools necessary for engineering practice
    • Display a thorough foundation in the basic sciences and sufficient knowledge in the concepts and skills required to design, analyze and control physical, chemical and biological products and processes in the field of biomolecular engineering
    • Gain a fundamental understanding of the definitions of metabolic engineering and the defining experiments in the field
    • Understand and apply basic aspects of mass/material balances and flux analysis to a metabolic engineering problem
    • Identify a metabolic problem, propose solutions, and analyze possible problems
    • Gain a fundamental understanding of the definitions of synthetic biology and the defining experiments in the field
    • Understand and apply basic aspects of parts, devices and systems analysis to a synthetic biology design
    • Identify a problem and propose possible synthetic biology responses to the identified problem, including detailing the needed design, parts, and testing
    • Identify ethical considerations related to synthetic biology, including both possible positive and negative aspects of the field
    • Identify how metabolic engineering and synthetic biology have influenced the areas of production of pharmaceuticals, generation of novel drugs, and energy generation

    Prerequisites by Topic
    • None 

    Course Topics
    • Synthetic biology: overview/foundations and engineering principles, BioBricks, designed genetic circuit examples, sensors, output, regulation, oscillations
    • Metabolic engineering: foundations, growth nutrients, material/mass balance, regulation, network rigidity
    • Applications: clinical, biofuels, pharmaceutical, food, environmental, and biotechnology
    • Theoretical design and proposal of a new sensor and output device
    • Laboratory experience with genetic devices, regulation (promoters and RBS sites), complex circuits, and cellular chassis
    • Ethical considerations of metabolic engineering and/or synthetic biology research and development

    Coordinator
    Dr. Gul Afshan
  
  • EB 4511 - Bio-Process Control

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The course provides a comprehensive training on industrial bio process control. Process control hardware and troubleshooting, dynamic modeling, controller tuning and control of processes is covered in detail. P, PI and PID controllers are analyzed along with advanced control strategies. The course also provides an introduction to the design of complex, multistep industrial scale biomolecular processes. (prereq: EB 3530 , EB 3561 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify common process instrumentation
    • Design and analyze a process control strategy for a process requirement
    • Choose an appropriate control strategy for a given process requirement
    • Tune PID controllers
    • Mathematically analyze control behavior of process control loops
    • Design and implement appropriate control strategies for a given process requirement
    • Synthesize the flowsheet/sequence of unit operations needed in a biomanufacturing process

    Prerequisites by Topic
    • No prerequisites by topic appended

    Course Topics
    • Process instrumentation
    • Process control
    • Dynamic modeling
    • Laplace transforms
    • Transfer functions
    • PID control
    • PID tuning methods
    • Advanced control strategies

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 4561 - Process Engineering Lab

    2 lecture hours 3 lab hours 3 credits
    Course Description
    This lab course covers experimentation of the process engineering courses covered in the BioMolecular Engineering program in prior and current quarters. Labs on fermentation, unit operations, process control, and process simulation comprise the experiments of this course. Students will learn details about each piece of equipment and know how to operate them to achieve the desired output product. Students will also learn how to design these equipment and scale them up for larger production quantities. Additionally, process simulation with SuperPro Designer (software) will allow students to integrate and analyze the unit operations into a complete manufacturing facility.  (prereq: EB 3570 , EB 3561 , EB 3530 ) (coreq: EB 4511 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the working of each unit operation studied in the lab
    • Use the equipment for each of the unit operations from the lab to achieve the desired output
    • Use design equations to design the unit operations equipment
    • Scale-up the lab equipment for the required output/thoroughput 
    • Synthesize and analyze the sequence of unit operations needed to achieve the necessary final product specifications

    Prerequisites by Topic
    • None

    Course Topics
    • Fermentation
    • Homogenization
    • Centrifugation
    • Filtration
    • Extraction
    • Chromatography
    • Drying
    • Process simulation

    Laboratory Topics
    • Fermentation
    • Homogenization
    • Centrifugation
    • Filtration
    • Extraction
    • Chromatography
    • Drying
    • Process simulation

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 4910 - BioMolecular Engineering Design I

    3 lecture hours 3 lab hours 4 credits
    Course Description
    This course is the first in a series of three courses in the biomolecular senior design sequence. Emphasis is placed on forming design teams, defining a project to meet customer needs, conducting marketing research, learning project management techniques, researching relevant literature, learning about institutional review board (IRB) processes (if applicable to the project), and maintaining an engineering logbook. Each student design team defines and plans a project, understands system life-cycles, marketing analysis, IRB procedures, intellectual property (IP) issues, and introduction of codes and standards. Project management techniques including defining the house of quality, block diagrams, the systems approach to design, incorporation of safety considerations into the design process, and completion of codes and standards are emphasized. (prereq: senior standing in BioMolecular Engineering-completion of all core courses through junior year or an approved plan of study that shows that graduation will be achieved within four quarters of starting EB 4910)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Formulate, analyze, and evaluate design solutions to determine the most feasible solution(s)
    • Build, test and demonstrate a sub-system (product or process)
    • Maintain an engineering design log
    • Present a formal first design review

    Prerequisites by Topic
    • None 

    Course Topics
    • Team building
    • Conceptual thinking and problem definition
    • Feasibility study
    • Composing technical specifications
    • Design aids and research techniques
    • Industry standards
    • Prototype development and testing
    • Verbal and written communications
    • Each student is required to keep a design log in a bound engineering logbook
    • Substantial, continuous individual and team progress is expected
    • Lab and process safety and hazards
    • Creative problem solving

    Laboratory Topics
    • Vary by the project

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 4920 - BioMolecular Engineering Design II

    3 lecture hours 3 lab hours 4 credits
    Course Description
    This course is a continuation of the biomolecular engineering design sequence. Emphasis is on building and testing the design projects Design methodologies and technologies, including block diagrams are included. Design teams research products or processes and solutions to design problems, obtain product or process materials, and prepare and undergo design and a review. The progress of the design process and construction is assessed including design development and the proper use and maintenance of the engineering logbook. (prereq: EB 4910  taken in the same academic year)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Complete the lab/practical work and determine feasibility of the project
    • Complete and test the system, demonstrate prototype (product or process)
    • Maintain an engineering design log
    • Present a formal second design review
    • Process control topics: effect of tunning parameters on P/PI/PID control, cascade, ratio and feedforward control and an introduction to MIMO systems and Model Predictive Control

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Laboratory Topics
    • Vary by the design project

    Coordinator
    Dr. Faisal Shaikh
  
  • EB 4930 - BioMolecular Engineering Design III

    3 lecture hours 3 lab hours 4 credits
    Course Description
    This is the final course in the BioMolecular Engineering design sequence. Third and last design review takes place. Emphasis is on putting together a senior design report. Students prepare for the final design show. The work is reviewed via an oral presentation, a poster presentation and written comprehensive report. The final product or process, design development and the proper use and maintenance of the engineering logbook are assessed according to professional standards. (prereq: EB 4920  taken in the same academic year)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Complete the project report
    • Maintain an engineering design log
    • Present a formal final design review
    • Present a poster
    • Submit complete Senior Design Report

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Laboratory Topics
    • Vary by the design project

    Coordinator
    Dr. Faisal Shaikh

Electrical Engineering

  
  • EE 201 - Linear Networks: Steady-State Analysis

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces the topics of steady-state analysis of networks using time and frequency domain methods with linear circuit models. It includes the topics mesh and nodal analysis, source transformations, network theorems, and complex power. Circuit simulation is also introduced for analysis of steady-state circuits. (prereq: MA 137  or MA 225)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Write and solve KCL and KVL equations using mesh and nodal analysis, and utilize voltage and current dividers in DC circuit analysis
    • Describe the electrical characteristics of the various passive circuit elements
    • Write and solve KCL and KVL equations using branch and nodal analysis for the AC steady-state case
    • Calculate average, apparent, and reactive powers for an AC circuit
    • Simplify networks using Thevenin’s and Norton’s theorems
    • Perform source transformations
    • Use the superposition principle in circuit analysis
    • Be adept at solving DC and AC circuits with dependent sources
    • Use circuit simulation to analyze circuits

    Prerequisites by Topic
    • Differentiation and integration of algebraic and transcendental functions
    • Solution of systems of linear equations
    • Complex number theory and algebraic manipulations

    Course Topics
    • DC network theorems and techniques (18 classes)
    • Principles of Inductance/Capacitance (4 classes)
    • AC steady-state circuit analysis techniques (10 classes)
    • AC power concepts (4 classes)
    • Circuit simulation analysis of steady state circuits (1 class)
    • Tests and quizzes (3 classes)

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 407 - Senior Design Project I

    2 lecture hours 3 lab hours 3 credits
    Course Description
    This is the first course in the three-course EE senior design sequence. Students form three- or four-person design teams and define a design problem which has alternative solutions. Alternatives are analyzed considering the needs and wants of a customer, safety, standards, and feasibility in the context of global, economic, environmental, and societal impacts. Topics discussed are project selection, development of a problem statement, the system diagram, formulating and executing a test plan, subsystem hardware test, team charter, and personal and team growth. Assignments relating to the above are required, and the quarter culminates in an oral design review. Students maintain a bound engineering logbook. (prereq: senior standing in electrical engineering, or approved plan of study to complete the degree by the following fall term)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Approach engineering design problems with an open and creative mind, and use various ideation techniques to explore a variety of alternative solutions
    • Form a team to define and solve an open ended engineering problem
    • Use a variety of resources in researching the problem, including technical periodicals, trade journals, patent listings, manufacturers catalogs and application notes
    • Keep a bound engineering logbook of all design activities
    • Develop detailed design specifications
    • Understand the impact of engineering solutions in a global, economic, environmental, and societal context
    • Prepare a test plan and conduct a subsystem hardware test
    • Make a formal oral presentation on the project

    Prerequisites by Topic
    • Analysis and design of diode and transistor circuits
    • Analysis and design of combinational and sequential logic circuits
    • Design of microprocessor based systems
    • Electromagnetic field theory
    • Basic AC and DC motors and generators
    • Introduction to linear control systems analysis and design
    • Computer aided design and familiarity with programs for analog and digital circuit analysis and design
    • Technical communications

    Course Topics
    • Introduction to capstone design sequence and requirements (1 class)
    • Team formation and team dynamics (1 class)
    • Project selection (1 week)
    • System design (1 week)
    • System diagram (1 week)
    • Test plan (1 week)
    • Specifications (1 week)
    • Subsystem test details (1 week)
    • Subsystem hardware demonstration (1.5 weeks)
    • Oral design review (1.5 weeks)

    Laboratory Topics
    • Varies with team project

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 408 - Senior Design Project II

    2 lecture hours 3 lab hours 3 credits
    Course Description
    This is a continuation of EE Senior Design. In the first part of the course, the teams finalize their design, producing a Final Design Report that demonstrates an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. This is the complete “paper design” of their project including detailed block diagrams and schematics. Following that, the teams build all major subsystems. At the end of EE 408, they write and execute subsystem test plans and present the status of their project in an oral presentation. Each team member reports on their team roles and evaluates their team performance. (prereq: successful completion of EE 407  in fall term of same academic year)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Define their team roles and evaluate their performance on a team
    • Design to match a set of detailed specifications
    • Utilize past coursework to generate a reasonable design
    • Choose an appropriate prototype technique and begin constructing a prototype
    • Select and order parts for implementing a prototype
    • Give oral status reports on the design
    • Define their team roles and evaluate their performance on a team
    • Make a formal oral presentation on the project
    • Prepare a formal design report and give a formal oral presentation of the report

    Prerequisites by Topic
    • Completion of EE 407  topics

    Course Topics
    • Dependent on student projects

    Laboratory Topics
    • Varies with team project

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 409 - Senior Design Project III

    2 lecture hours 3 lab hours 3 credits
    Course Description
    This is a continuation of the EE design project defined by each design team in EE 407  and designed in EE 408 . The design is built, tested, modified, retested and completely documented in this final course of the senior design sequence. It is expected that each team will have a working prototype to demonstrate by the end of this course. Teams prepare a test plan and conduct a compliance test comparing system performance to specifications. (prereq: successful completion of EE 408  in winter term of same academic year)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Work as part of a design team to completely design, prototype, and test a design
    • Demonstrate the iterative nature of design
    • Evaluate their behavior on their design team in the context of professional and ethical responsibility
    • Utilize laboratory instrumentation for debugging and testing a prototype
    • Prepare a compliance test plan and conduct the compliance test
    • Prepare a complete project report documenting the design, prototype, and testing
    • Present the project results to faculty and peers in a trade show setting
    • Conduct a design review

    Prerequisites by Topic
    • Completion of EE 408  topics

    Course Topics
    • Dependent on student projects

    Laboratory Topics
    • Varies with team project

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 421 - Digital Communication Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course covers important concepts and signaling techniques commonly used in digital communication systems. Pulse modulation methods including PAM, PWM, and PPM are studied. Digital modulation methods including ASK, FSK, and PSK modulations are reviewed, and modulation techniques such as QAM are presented. Random processes are used to model noise. The effects of noise on bit-error probabilities are analyzed for various systems. Other topics covered include the matched filter receiver, correlation receiver, and an introduction to error-correction coding. (prereq: EE 4022 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Make fundamental decisions involved in the design of a digital communication system by weighing the performance factors associated with digital communication systems
    • Describe various pulse modulation methods
    • Determine required bandwidths for various digital modulation methods
    • Determine the signal-to-noise ratio needed to achieve a specified bit-error rate for various digital modulation methods
    • Design an optimal detection filter or correlation receiver
    • Explain the properties and features of various error detection and error correction codes

    Prerequisites by Topic
    • Fourier methods
    • Fundamental analog and digital communications principles
    • Fundamental probability and random signal concepts

    Course Topics
    • Signaling, including sampling and random signal characteristics (7 classes)
    • Pulse modulation, baseband digital communication, line coding, and pulse shaping (5 classes)
    • Digital modulation and detection, including spread spectrum (5 classes)
    • Information theory, source coding and error-correction coding (6 classes)

    Coordinator
    Dr. Cory Prust
  
  • EE 423 - Applications of Digital Signal Processing

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course builds upon the DSP lecture course. It is heavily laboratory- and applications-oriented, enabling students to implement powerful algorithms on actual DSP hardware utilizing the C programming language. Such algorithms as FIR and IIR digital filters, adaptive and multirate filters (interpolator), modulators and demodulators, correlators and discrete and fast Fourier transforms are programmed. The hardware is capable of processing stereo audio signals in realtime, effectively demonstrating the power of the techniques. (prereq: EE 3221 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the appropriate system design for DSP applications
    • Be proficient in the C programming language of a DSP chip

    Prerequisites by Topic
    • Sampling theorem
    • FIR/IIR transfer function design and analysis
    • Discrete/fast Fourier transform
    • Communications systems
    • Computer programming in C

    Course Topics
    • DSP system architecture and C programming language (4 classes)
    • Modulation, demodulation (3 classes)
    • FIR, IIR, adaptive, multirate digital filter implementation (6 classes)
    • Discrete and fast Fourier transform implementation (2 classes)
    • Auto- and cross correlation methods (3 classes)
    • Phase locked loop (2 classes)

    Laboratory Topics
    • Operation of evaluation module
    • FIR or IIR filter
    • Demodulator (QAM)
    • Modulator (ISB)
    • Adaptive filter
    • Design project

    Coordinator
    Dr. Cory Prust
  
  • EE 425 - Radio Frequency Circuit Design

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course provides an introduction to fundamental radio-frequency (RF) design techniques. The emphasis is placed on the physical understanding of high-frequency phenomena, their practical applications, and the unique challenges of RF design and testing. Computer-aided engineering software is used to reinforce lecture and laboratory topics. (prereq: EE 3212 or EE 3214 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Analyze and design RF inductors and tank circuits
    • Diagnose and address shield current issues
    • Design lumped component matching networks
    • Design transmission line matching networks
    • Analyze and design a class-C amplifier
    • Design microstrip filter circuits
    • Analyze and design a single stage RF amplifier
    • Learn how to use basic RF test equipment

    Prerequisites by Topic
    • Electromagnetic field theory
    • Electronic devices and circuits
    • Transmission line theory

    Course Topics
    • Resonant circuits and applications (3 classes)
    • RF models of inductor, capacitor, and resistor (2 classes)
    • Lumped element matching networks (3 classes)
    • Transmission lines, S-parameters, and Smith chart review (3 classes)
    • Transmission line matching networks (2 classes)
    • Class-C amplifier analysis (2 classes)
    • Microstrip filters (2 classes)
    • Noise figure (1 class)
    • Examinations (2 classes)

    Laboratory Topics
    • RF/Microwave CAD software (2 sessions)
    • Demonstration and practice the modern test equipments (2 sessions)
    • Resonant circuits
    • Coupled resonant circuits
    • Class-C amplifier
    • Baluns
    • PIN diodes

    Coordinator
    Dr. Steven Holland
  
  • EE 426 - Advanced Electromagnetic Fields

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course is a natural continuation of the electromagnetic field and transmission line courses (EE 3202/EE 3212 or EE 3204 /EE 3214 ) and is useful preparation for advanced and/or graduate study. Illustrative solutions of Poisson’s and Laplace’s equations are obtained. Time varying fields are discussed and expressed with Maxwell’s equations. Propagation and reflection of the uniform plane wave in various media are analyzed starting with the wave equation. Several special topics, such as scalar and vector potential functions, guided-wave propagation, anisotropic media, antennas, and electromagnetic field simulation are considered. (prereq: EE 3212 or EE 3214 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Develop analytic solutions to electromagnetic problems, such as two-dimensional electrostatic boundary value problems, skin depth, plane waves in ferrite media, and the Hertzian dipole antenna
    • Apply scalar and vector potential functions in electromagnetic problems
    • Interpret the analytic solutions to electromagnetic problems

    Prerequisites by Topic
    • Electromagnetic fields
    • Transmission line theory
    • Scattering parameters
    • Basic plane wave and antenna concepts

    Course Topics
    • Lecture topical emphasis intended to be at the discretion of the instructor; typical course topics:
    • Scalar electrostatic potential, Poisson’s and Laplace’s equations, two dimensional boundary value problems
    • Time varying fields / Maxwell’s equations (especially in differential form)
    • Wave equation, uniform plane wave solution, propagation, and reflection
    • Skin depth
    • TEM solution in coax
    • Plane wave propagation in ferrite media
    • Magnetic vector potential
    • Hertzian dipole electromagnetic field solution
    • Electromagnetic field simulation

    Coordinator
    Dr. Robert Strangeway
  
  • EE 429 - Microwave Engineering

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course emphasizes microwave transmission media, especially microstrip, coax and waveguide. The theory is developed for each line in order to gain insight into transmission characteristics and operation. This is followed by a study of microwave resonant circuits, nonreciprocal ferrite devices and other microwave components. Additional insights are developed using electromagnetic field simulation and laboratory measurements. (prereq: EE 3212 or EE 3214 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the operation of and calculate key properties of microstrip characteristics and microstrip components
    • Utilize RF/microwave simulation software in high frequency circuit analysis
    • Describe and sketch field patterns in common high frequency transmission media, especially microstrip, stripline, and rectangular and circular waveguides
    • Determine the analytic expressions for the electromagnetic fields inside rectangular and circular waveguides
    • Describe the operation of and key specifications of microwave resonators and ferrite devices

    Prerequisites by Topic
    • Electromagnetic fields
    • Transmission line theory and Smith charts
    • Scattering parameters
    • Plane waves

    Course Topics
    • Transmission lines and Maxwell’s equations review (2 classes)
    • TEM, especially microstrip, media and components (4 classes)
    • Rectangular and circular waveguides (7 classes)
    • Microwave resonators (2 classes)
    • Microwave ferrite and other components (3 classes)
    • Homework sessions. (2 classes) [exams are typically take-home]

    Laboratory Topics
    • Laboratory topics and schedule intended to be at the discretion of the instructor; typical laboratory topics:
    • RF/microwave simulation
    • Measurements of RF/microwave components
    • RF/microwave project (usually in microstrip)

    Coordinator
    Dr. Robert Strangeway
  
  • EE 444 - Power Electronics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course focuses on the design and simulation of linear and switch-mode power supplies. Topics covered emphasize the use of various active devices in inverters, converters, drives, and power conditioning circuits. (prereq: EE 3102 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate an understanding of the electrical characteristics of power semiconductor devices
    • Analyze power semiconductor circuits operating at high power levels under transient and steady state conditions
    • Develop the skills necessary to use the computer to analyze and design power conversion circuits
    • Develop the understanding of important considerations in the design of power conversion and switching circuits

    Prerequisites by Topic
    • Steady state and transient circuit analysis
    • Electrical characteristics of diodes, bipolar junction transistors, and field effect transistors
    • Analysis of circuits with diodes and transistors
    • Frequency response of electrical circuits

    Course Topics
    • Power Electronics applications (2 classes)
    • Power Electronics semiconductor devices (3 classes)
    • Rectifiers (2 classes)
    • Line-controlled converters (2 classes)
    • DC-DC converters (3 classes)
    • DC power supplies (2 classes)
    • Square-wave inverters (2 classes)
    • PWM inverters (2 classes)
    • Resonant converters (3 classes)
    • Practical circuit techniques (3 classes)
    • Review (3 classes)
    • Exams (2 classes)

    Laboratory Topics
    • MOSFET switch application
    • SCR application
    • AC voltage control application
    • Buck and boost converters
    • Inverters

    Coordinator
    Dr. Luke Weber
  
  • EE 447 - Power System Analysis I

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course provides an introduction to the classical methods and modern techniques in power system analysis with the aid of a personal computer. Topics covered include the concepts of complex power, balanced three-phase circuits, transmission line parameters, transmission line performance and compensation, system modeling and per-unit analysis, circuit theory as applied to power systems and load flow analysis. (prereq: EE 3401 , MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the elements that make up a power system
    • Understand the basic concepts of real and reactive power, direction of power flow, conservation of complex power and power factor correction
    • Understand the per-phase representation of the three-phase systems and computations
    • Calculate the inductance and capacitance of a transposed transmission line
    • Use line models to obtain the transmission line performance
    • Determine the series and shunt capacitors and shunt reactors required for line compensation
    • Understand the basic models of transformers and synchronous generators for the steady-state analysis
    • Develop a program for formation of the bus admittance matrix
    • Understand the computer techniques and algorithms used to obtain the transmission line parameters, line performance, compensation and solution of the load flow problems

    Prerequisites by Topic
    • Linear circuit analysis
    • Three-phase circuits
    • Basic knowledge of electrical machines and transformers
    • Computer programming

    Course Topics
    • Power in AC circuits, complex power (1 class)
    • Review of three-phase systems (2 classes)
    • Simple models of transformers and generators for steady-state analysis (3 classes)
    • The per-unit systems and impedance diagrams (2 classes)
    • Transmission line parameters. Electromagnetic and electrostatic induction (5 classes)
    • Transmission line models, performance and compensation (5 classes)
    • Network solution and the bus admittance matrix. (2 classes)
    • Iterative solution of nonlinear algebraic equations (1 class)
    • Load flow problem and solution by the Gauss-Seidel iterative method (3 classes)
    • Load flow solution by the Newton-Raphson method (2 classes)
    • Tap changing transformers, real and reactive power control (2 classes)

    Coordinator
    Dr. Luke Weber
  
  • EE 449 - Power System Analysis II

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course is a continuation of EE 447 , and provides students with a working knowledge of power system problems and computer techniques used to solve some of these problems. Topics covered include optimal dispatch of generation, symmetrical three-phase faults, symmetrical components, unsymmetrical faults, technical treatment of the general problem of power system stability and its relevance. (prereq: EE 3401 , EE 3720 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the nonlinear function optimization with constraints
    • Obtain the economical scheduling of real power generation neglecting line losses
    • Determine the loss coefficients of a power system network
    • Obtain the economical scheduling of real power generation including line losses
    • Understand the simplified models of the synchronous machines for fault analysis and transient stability problems
    • Calculate the internal voltages of loaded machines under transient conditions
    • Understand and be able to evaluate the currents in the network for a balanced three-phase fault
    • Transform unbalanced phasors to their symmetrical components
    • Use symmetrical components for short-circuit analysis of unsymmetrical faults
    • Understand the general problem of power system stability
    • Apply the equal-area criterion for stability to system of one machine against an infinite bus bar
    • Obtain the time-domain solution of the swing equation for a one-machine system against an infinite bus
    • Develop computer programs to determine optimal load flow and balanced faults on an interconnected power system

    Prerequisites by Topic
    • Per unit systems
    • Power systems components and models
    • Load flow analysis

    Course Topics
    • Optimal dispatch of generation (5 classes)
    • Generator modeling (2 classes)
    • Direct formation of the bus impedance matrix (2 classes)
    • Symmetrical three-phase faults (3 classes)
    • Symmetrical components (4 classes)
    • Unbalanced fault analysis (5 classes)
    • Power system stability (7 classes)

    Coordinator
    Dr. Luke Weber
  
  • EE 484 - Neural Networks

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces students to the basic concepts of modeling systems using neural networks. The underlying concepts of neural networks are introduced, as well as a number of common topologies and learning rules used in neural networks, including deep learning. Students gain firsthand experience in the creation, training, and application of neural networks through computer assignments and a short research project. (prereq: (EE 2510  or CS 1011  or BE 2200 ) and MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the basic configurations of neural networks
    • Describe and implement neural networks
    • Formulate engineering problems for which neural networks may be a suitable solution
    • Evaluate the suitability of neural network architectures and learning algorithms for engineering problems
    • Use commercially available neural network development tools
    • Interpret and critique scholarly articles in the area of neural networks

    Prerequisites by Topic
    • High-level language programming with objects or structures
    • Calculus (gradients, series expansions)
    • Matrix arithmetic

    Course Topics
    • Introduction to neural networks, problems, terminology, MATLAB toolbox (2 classes)
    • Data gathering and formatting (2 classes)
    • Linear perceptron and multilayer backpropagation networks(4 classes)
    • Training algorithms and associated mathematics (4 classes)
    • Radial basis networks (3 classes)
    • Self-organizing maps (1 class)
    • Time series networks, control systems, and adaptive filtering (4 classes)
    • Deep learning (3 classes)
    • Special topics (2 classes)
    • Project workshops (5 classes)

    Coordinator
    Dr. Sheila Ross
  
  • EE 499 - Independent Study

    1 lecture hours 0 lab hours 3 credits
    Course Description
    Students enrolled in this course are afforded the opportunity to pursue a specialized topic in their chosen field of study. After an approved area of study has been selected, weekly meetings with the course advisor are required. A final written report, the format of which is left to the discretion of the advisor, is required at the end of the term. (prereq: senior standing and consent of department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Carry out an in-depth independent investigation on a technical topic with minimal supervision
    • Write a formal report which clearly presents a new body of knowledge learned

    Prerequisites by Topic
    • Varies

    Course Topics
    • Course topics to be selected

    Coordinator
    Dr. Sheila Ross
  
  • EE 499G - Independent Study - German Students

    0 lecture hours 0 lab hours 12 credits
    Course Description
    Students enrolled in this course are afforded the opportunity to pursue a specialized topic in their chosen field of study. After an approved area of study has been selected, weekly meetings with the course advisor are required. A final written report, the format of which is left to the discretion of the advisor, is required at the end of the term. (prereq: for THL students only)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Carry out an in-depth independent investigation on a technical topic with minimal supervision
    • Write a formal report which clearly presents a new body of knowledge learned

    Prerequisites by Topic
    • Varies

    Course Topics
    • Course topics to be selected

    Coordinator
    Dr. Joerg Mossbrucker
  
  • EE 1000 - Introduction to Electrical Engineering

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course provides an introduction to common practices and ideas of electrical engineering, including terminology, problem solving methodology, basic analytical tools, laboratory practice, working in teams and the engineering design process. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain an understanding of both the engineering profession and what electrical engineers do
    • Use fundamental lab instrumentation, including multimeters, oscilloscopes, function generators, power supplies
    • Gain an understanding of time management and self-assessment practices which are necessary for success in engineering study
    • Understand and use basic electrical engineering terminology and methodology
    • Be familiar with the performance of selected engineering devices typical of the electrical engineering discipline

    Prerequisites by Topic
    • High school algebra and trigonometry

    Course Topics
    • None

    Laboratory Topics
    • Lab topics vary depending on instructional staff.  Examples of lab topics:
    • Electrical Engineering instrumentation
    • Data Acquisition
    • Mathematical modeling
    • Time management and self-assessment
    • Microprocessors
    • Wiring and soldering
    • Motors
    • MATLAB
    • Digital logic and robotics

    Coordinator
    Dr. Sheila Ross
  
  • EE 1910 - Introduction to Embedded Systems Programming

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces concepts that are required to solve engineering problems using embedded systems. Students will develop a working knowledge of structured programming, basic microcontroller architecture and terminology, and the tools used in developing and designing embedded systems. In addition to implementing lecture topics, laboratory sessions include practical considerations for physical interfacing of basic analog and digital electronic devices. A course project emphasizes the interaction between physical processes, peripherals, and the computation/control capabilities of the microcontroller. A high-level programming language is used and all programs are executed on an embedded system. (prereq: MA 125 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design and document algorithmic solutions for engineering problems
    • Understand variables, expressions, and operations in C
    • Use structured programming techniques in C
    • Design and write functions in C
    • Design and write embedded systems software to solve engineering problems
    • Use various subsystems of a microcontroller in practical applications
    • Use datasheets in support of device interfacing and software development
    • Understand concepts and terminology related to microcontroller architecture
    • Use embedded systems tools for software development and debugging
    • Recognize and employ good software practices as they relate to embedded systems

    Prerequisites by Topic
    • College Algebra I

    Course Topics
    • Introduction to the course (1 class)
    • Problem solving, algorithm, flow-chart, and pseudo-code development (2 classes)
    • Number systems and data types (2 classes)
    • Variables, expressions, and operators (5 classes)
    • Control constructs, and looping techniques (4 classes)
    • User-defined functions, parameters, returns, and function prototypes (2 classes)
    • Subscripted variables, arrays (3 classes)
    • Pointers and function parameter passing by pointers (2 classes)
    • Basic microcontroller architecture, subsystems, and memories (2 class)
    • Tool chain and device programming (1 class)
    • Software libraries, header files, and coding conventions (1 class)
    • State machines (2 classes)
    • Examinations (3 classes)

    Laboratory Topics
    • Introduction to IDE and embedded hardware platform (1 session)
    • Data types, serial console (1 session)
    • Blinking/Fading LEDs (1 session)
    • Digital I/O (2 sessions)
    • Analog I/O (2 sessions)
    • Design Project (2 sessions)
    • Interfacing considerations, debugging techniques, professional software practices, and use of datasheets (distributed)

    Coordinator
    Dr. Sheila Ross
  
  • EE 2050 - Linear Circuits - Steady State I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces the basic laws used in the analysis of electrical circuits. Specific topics covered include Kirchhoff’s Laws, resistors in series and parallel, circuit analysis methods, op amps, Thevenin/Norton equivalent circuits, and superposition. The course is limited to DC circuit analysis. Circuit simulation software is introduced as a computer analysis tool. The associated laboratory reinforces the lecture material. (prereq: MA 136 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Demonstrate a standard of expertise in the understanding of circuit laws and in the analysis of electrical circuits
    • Write and solve KCL and KVL equations using standard methods of circuit analysis for DC circuits, including symbolic DC circuits
    • Simplify electrical circuits using series/parallel resistance combinations, source transformations, and Thevenin’s/Norton’s theorems, including symbolic DC circuits
    • Solve a DC circuit problem using the superposition principle
    • Demonstrate calculator skills in solving simultaneous equations representing n-node circuit problems
    • Demonstrate the ability to analyze DC circuits using circuit simulation software
    • Compute power calculations for a DC circuit
    • Demonstrate circuit laboratory skills and perform DC measurements
    • Demonstrate the use of nodal analysis in the solution of circuit problems
    • Demonstrate the use of branch currents in the solution of circuit problems
    • Analyze DC circuits that include ideal operational amplifiers

    Prerequisites by Topic
    • Differentiation of algebraic and trigonometric functions
    • Solution of a system of linear equations using a calculator

    Course Topics
    • DC concepts and laws (9 classes)
    • DC analysis (17 classes)
    • Op amps (2 classes)
    • Tests (2 classes)

    Laboratory Topics
    • Laboratory experiment details and expectations are described in the on-line EE 2050 Lab Manual
    • Students are lectured on laboratory safety
    • Students are expected to prepare for the lab by doing all required pre-lab activities and to finish all remaining requirements during the laboratory itself
    • Limited laboratory reports will be required

    Coordinator
    Dr. Sheila Ross
  
  • EE 2060 - Linear Circuits - Steady State II

    3 lecture hours 2 lab hours 4 credits
    Course Description
    After a brief review of DC circuit concepts and methods, AC circuit analysis and frequency as a variable are introduced and developed. Specific topics covered include phasors, impedance, complex AC power, mutual inductance and transformers, RL and RC filters, and Bode plots. The use of computer circuit simulation software is continued to include the AC analysis of circuits. The associated laboratory reinforces the lecture material. (prereq: EE 2050 , MA 137  or MA 1410H)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Represent a complex number in complex exponential form
    • Convert complex numbers from polar form to rectangular form and from rectangular form to polar form using Euler’s Identities
    • Apply circuit laws and in the analysis of electrical circuits
    • Solve KCL and KVL systems of equations using standard methods of circuit analysis for AC circuits, including symbolic AC circuits
    • Perform complex power calculations
    • Analyze AC circuits with mutual inductors and transformers
    • Demonstrate for simple filters the changing circuit performance as a function of frequency
    • Relate mathematical expressions of transfer functions to Bode plots and derive frequency-domain transfer functions for passive and active circuits
    • Demonstrate calculator skills to solve circuit equations
    • Demonstrate the ability to analyze AC circuits using circuit simulation software
    • Demonstrate circuit laboratory skills and perform AC measurements

    Prerequisites by Topic
    • Integral calculus
    • DC circuit laws and analysis methods
    • Complex number theory and algebraic manipulations
    • Laboratory performance skills
    • DC circuit analysis using circuit simulation software

    Course Topics
    • AC circuit concepts and circuit analysis (7 classes)
    • Complex power (4 classes)
    • Magnetically coupled circuits (4 classes)
    • Frequency as a variable (3 classes)
    • Decibels and Bode plots (5 classes)
    • Review (5 classes)
    • Examinations (2 classes)

    Laboratory Topics
    • Laboratory experiment details and expectations are described in the on-line EE 2060 Lab Manual
    • Students are lectured on laboratory safety
    • Students are expected to prepare for the lab by doing all required pre-lab activities
    • Limited laboratory reports will be required

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 2070 - Linear Circuits - Transients

    3 lecture hours 0 lab hours 3 credits
    Course Description
    After a brief review of DC and AC circuit concepts and methods, the course introduces and develops series and parallel resonance and the transient analysis of circuits, using both classical and Laplace transform techniques.  In addition, the analysis of circuits with step-function and sinusoidal sources leads to a general consideration of transfer functions.  Multisim is used to simulate system responses. (prereq: EE 2060 ) (coreq: MA 235  or MA 2440H)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Analyze and design series and parallel resonant circuits
    • Determine the time domain transient analysis response of a first order circuit
    • Determine the time domain transient response of a second order circuit
    • Graph the time doamin transient responses of first and second order circuits
    • Classify a second order transient response as either, under damped, over damped, or critically damped
    • Use computer simulation tools to do transient analysis
    • Determine Laplace transforms for simple time-based functions commonly used in the analysis of electrical and control systems
    • Use Laplace methods to obtain voltages and currents in circuits having arbitrary input functions and initial conditions
    • Derive transfer functions for simple RL, RC, and RLC circuits
    • Derive s-domain transfer functions for simple RL, RC, and RLC circuits

    Prerequisites by Topic
    • DC and AC steady-state circuit analysis techniques
    • Steady-state Multisim circuit analysis
    • Linear circuit models for resistors/inductors/capacitors
    • Linear differential equation solution techniques
    • Laplace transforms and operations

    Course Topics
    • Series and parallel resonance (6 classes)
    • Time domain transient analysis of first-order circuits (5 classes)
    • Time domain transient analysis of second-order circuits (4 classes)
    • Laplace transforms of time-based functions that include the unit step, unit ramp, impulse, exponentials, and complex exponentials; and operations (5 classes)
    • Transient analysis using transforms of circuits (3 classes)
    • S-domain circuit models and analysis (2 classes)
    • Review (4 classes)
    • Tests and quizzes (2 classes)

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 2510 - Introduction to Object-Oriented Programming

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces object-oriented programming to students who have experience in structured programming techniques. Particular emphasis is placed on the design and implementation of computer programs to solve problems encountered in engineering practice. Topics include introduction to object-oriented programming concepts, user-defined classes, constructors and destructors, abstraction techniques, overloading, polymorphism, and inheritance. (prereq: EE 1910  or EE 3910B , MA 137  or MA 225)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design computer software to solve engineering problems using object-oriented programming method
    • Create and use classes and objects
    • Apply encapsulation and information hiding in software design
    • Create and apply derived classes (inheritance)
    • Create and apply virtual functions (polymorphism)
    • Implement objects and classes in designing software for engineering applications

    Prerequisites by Topic
    • Procedural programming techniques
    • Calculus for engineers including topics of differentiation and integration

    Course Topics
    • Introduction
    • OO design
    • Classes
    • Static data
    • Properties and attributes
    • Methods
    • Functions
    • Events, handles, and messages
    • Constructors and destructors
    • Superclasses and subclasses
    • Object arrays
    • Review
    • Tests
    • Final examination

    Laboratory Topics
    • Design and implementation of a basic class
    • Design and implementation of a linked list
    • Design and implementation of a class
    • Design and implementation of a superclass
    • Design and implementation of a class with dynamic properties
    • Extension of a class with listener function
    • Design and implementation of super- and subclasses
    • Design and implementation of a save/load class
    • Design and implementation of an overloaded disp() function
    • Design and implementation of related classes

    Coordinator
    Dr. Timothy Johnson
  
  • EE 2705 - Linear Circuits I: DC

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This first course (in a series of three) introduces the student to key topics associated with the behavior and analysis of steady-state DC electrical circuits. Following a detailed review of the basic concepts associated with current, voltage, resistance, electrical power and energy, the course progresses through a variety of circuit analysis techniques derived from fundamental laws and theorems and will include the use of: node voltage, mesh current analysis, superposition, source transformations, Thevenin / Norton equivalent circuits, and maximum power transfer.   (prereq: none) (coreq: PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Possess a working knowledge of fundamental electrical concepts (charge, current, voltage, resistance, power, and energy) along with a functional and mathematical understanding of their interrelationships
    • Recognize the configurations of and differences between series and parallel circuits
    • Recognize the definitions of and the differences between both dependent and independent ideal and real voltage and current sources
    • Be able to analyze the behavior of DC electrical circuits which include solving for circuit branch currents, node voltages, equivalent resistances, and delivered and absorbed power using established laws, theorems, and the following classical techniques:
    • Mesh current analysis through the formulation and solving of loop equations
    • Nodal analysis via the application and solution of voltage node equations
    • Superposition principle and circuits with multiple voltage and/or current sources
    • Circuit reduction and simplification techniques embodied in the concepts of source transformations, Thevenin, and Norton equivalent circuits
    • Demonstrate the use and application of the maximum power transfer theorem
    • Be proficient in the use, application, and interpretation of circuit simulation software, e.g., MultiSim, and its value in prototyping and circuit design
    • Be proficient in the use of the scientific calculator for solving simultaneous equations
    • Be able to recognize and apply the following safe and proper laboratory skills:
      • Basic safety principles when using AC line-powered instruments
      • Circuit breadboarding concepts and techniques
      • Calculation of resistor power dissipation and proper specification of resistor power ratings
      • Set-up and use of the digital multimeter for the measurement of continuity, electrical resistance, DC currents, and voltages
      • Capabilities and limitations of DC power supplies
      • Importance, use, and maintenance of the laboratory notebook for the management and recording of experimental results

    Prerequisites by Topic
    • Physics of electricity and magnetism

    Course Topics
    • DC concepts, laws, and theorems [5 classes]
      • Ohm’s & Kirchhoff’s current & voltage laws; behavior of resistors in series and parallel circuits; ideal, real, and independent & dependent current and voltage sources
    • DC circuit analysis techniques [13 classes]
      • mesh current, nodal, source transformation, superposition, Thevenin & Norton equivalent circuits
    • Exams [2 classes]

    Laboratory Topics
    • Use of laboratory instruments (digital multimeter & power supply) with series and parallel DC circuits
    • LED i-v characteristics and use and interpretation of component specification sheets
    • Multisim circuit simulator software
    • Linearity principle and superposition
    • Thevenin equivalent circuits and maximum power transfer

    Coordinator
    Dr. Larry Fennigkoh
  
  • EE 2715 - Linear Circuits II: Transients

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This second course (in a series of three) introduces students to transient analysis of both 1st and 2nd order linear systems primarily through the use of electrical circuits with step inputs in both the time and Laplace domains.  Multisim and a variety of laboratory experiments are used to further examine and reinforce the classical analysis techniques used in studying transient phenomena. The similar behavior in thermal and mechanical systems is also briefly covered.  (prereq: EE 2705 ) (coreq: MA 235 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate a working knowledge of the physical construction and the electrical behavior of capacitors and inductors
    • Recognize and calculate equivalent circuit capacitance and inductance in circuits involving series and parallel components
    • Analyze, calculate, and graphically represent the 1st order transient response of R-L and R-C circuits in the time domain
    • Determine circuit time constants and their effects on transient response
    • Be proficient in the use, application, and interpretation of circuit simulation software, e.g., MultiSim, in evaluating 1st order circuits
    • Analyze, calculate, and graphically represent the 2nd order transient response of RLC circuits in the time domain
    • Mathematically determine whether 2nd order RLC circuits are either under-, critically-, or over-damped
    • Analyze and calculate the transient response from 1st and 2nd order circuits in the time and Laplace domains
    • Recognize the importance of transient response of non-electrical, e.g., thermal and fluidic systems

    Prerequisites by Topic
    • DC circuit analysis
    • Use of Multisim circuit simulation software
    • Fundamental circuit construction/breadboarding techniques
    • Use of the scientific calculator

    Course Topics
    • Capacitors, inductors, 1st & 2nd order circuits [12 classes]
    • Laplace transforms and transient circuit analysis [3 classes]

    Laboratory Topics
    • Use of the function generator and oscilloscope: 1st order R-C circuits
    • Transient analysis with Multisim
    • Mini-defibrillator circuit design - 1st & 2nd order systems

    Coordinator
    Dr. Larry Fennigkoh
  
  • EE 2725 - Linear Circuits III: AC

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This third course (in a series of three) is a continuation of EE 2715 with the emphasis now being on AC circuit analysis and the use of frequency as a variable. Following a brief review of basic DC circuit analysis techniques, emphasis will be given to complex numbers and the use of phasor notation, impedance, complex AC power, mutual inductance, transformers, RL and RC filters, and Bode plots. AC circuit analysis in both the time and Laplace domains along with the concepts associated with transfer functions will also be included. The significance and control of 60 Hz leakage currents from medical devices, and electrical safety in hospital environments will also be emphasized. The use of MultiSim as an analysis and simulation tool is used throughout the course. (prereq: EE 2715 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Possess a working knowledge of complex numbers and phasor notation in the analysis of AC circuits
    • Analyze and solve for AC currents, voltages, and impedances in both the time and Laplace domains
    • Recognize the sources and significance of phase shifts between AC currents and voltages in AC circuits
    • Understand the definitions of, the differences between, and be able to calculate the average, reactive, and apparent power in AC circuits and be able to graphically represent their interrelationships through use of the power triangle
    • Understand the design, behavior, applications, and basic calculations associated with transformers
    • Understand the origin, significance, and design control of 60 Hz leakage currents in AC line powered devices in general and medical devices in particular
    • Recognize, design, and analyze passive low, high, and bandpass filters in both the time and Laplace domains - including series and parallel resonance
    • Understand the concepts and analysis of system transfer functions in the Laplace domain
    • Understand the concepts, construction, and analysis of Bode plots (amplitude and phase)

    Prerequisites by Topic
    • DC circuit analysis techniques and methods [EE 2705, EE 2715]
    • Behavior and function of capacitors and inductors [EE 2715]
    • Differential equations and Laplace transforms [EE 2715, MA 235]
    • Use of Multisim circuit simulator [EE 2705, EE 2715]

    Course Topics
    • AC circuit analysis [10 classes]
    • Transformers [2 classes]
    • AC power analysis [5 classes]
    • Frequency response [5 classes]
    • Transfer functions [3 classes]
    • Reviews and exams [5 classes]

    Coordinator
    Dr Larry Fennigkoh
  
  • EE 2905 - Introduction to Embedded Systems and Digital Electronics

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces students to embedded systems, structured programming concepts, and basic electronics interfacing. Course topics include microcontroller architecture, subsystems, and embedded systems terminology. The course includes limited coverage of electrical interfacing of embedded systems to external digital and analog electronics. A high-level programming language and an integrated development environment are used. Students complete a course project that emphasizes the interaction between the hardware and software components of a practical embedded system. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the general sub-systems and operation of embedded controllers
    • Describe biomedical applications of embedded systems
    • Describe the purpose of integrated development environments
    • Describe and effectively use data types in a modern, high-level computer language
    • Describe and effectively use control constructions in a modern, high-level computer language
    • Describe and effectively use digital inputs and outputs, PWM outputs, and analog inputs and outputs in a modern, high-level computer language running on modern embedded system hardware
    • Describe and effectively use user defined functions in a modern, high-level computer language
    • Describe and effectively use interrupts in a high-level computer language running on a modern embedded operating system
    • Describe and effectively use pointers and arrays in a modern, high-level computer language
    • Describe and effectively use provided classes and libraries in a high-level computer language running on a modern embedded operating system
    • Design, code, and document relatively simple embedded programs

    Prerequisites by Topic
    • None

    Course Topics
    • General sub-systems and operation of embedded controllers
    • Survey of biomedical applications of embedded systems
    • Integrated development environments for embedded programming
    • Data types in a modern, high-level computer language
    • Control constructions in a modern, high-level computer language
    • Digital inputs and outputs, PWM outputs, and analog inputs and outputs in a modern, high-level computer language running on modern embedded system hardware
    • User defined functions in a modern, high-level computer language
    • Tasks and interrupts in a high-level computer language running on modern embedded operating system
    • Pointers and arrays in a modern, high-level computer language
    • Provided classes and libraries in a high-level computer language running on a modern embedded operating system
    • Design and documentation of relatively simple embedded programs

    Laboratory Topics
    • Introduction to IDE, embedded hardware platform and programming
    • Digital and PWM outputs
    • Conditional constructs
    • Digital inputs
    • Loops
    • Analog inputs
    • Displays
    • Interfacing with MATLAB (serial communications)
    • Programming with functions
    • Programming with interrupts
    • Programming with arrays

    Coordinator
    Dr. Charles Tritt
  
  • EE 2920 - Embedded Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces students to programming and design of microprocessor-based systems. Concepts covered include microprocessor architecture, serial and parallel I/O, interrupts, interfacing of hardware components to a typical microprocessor, and microcomputer system design. The target system is used for development of both software and hardware. Each student designs at least two microcomputer subsystem interfaces entailing both hardware and software. (prereq: EE 1910 , EE 2050 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain how a microprocessor and a microcontroller work
    • Write structured programs in C
    • Interpret timing diagrams and machine cycles
    • Interface hardware components, such as switches, keypads, and LEDs to the parallel port of the microcontroller
    • Develop interrupt driven C programs
    • Develop C programs using the subsystems of a microcontroller
    • Interpret and apply a standard communication protocol in an embedded system design
    • Diagnose software and hardware problems
    • Use a personal computer for software development and debugging

    Prerequisites by Topic
    • Procedural programming concepts in C
    • Number systems, basic binary arithmetic, Boolean algebra
    • DC linear circuit analysis

    Course Topics
    • Elementary computer operations, architecture of a typical Harvard 8-bit microprocessor/microcontroller (1 class)
    • Addressing modes, instruction set, C language programming including subroutines (2 classes)
    • Number systems, basic binary arithmetic (2 classes)
    • Timing, machine cycles and states (1 class)
    • Parallel input/output, programmed I/O and interrupt I/O (5 classes)
    • Timing system and I/O (5 classes)
    • A/D and D/A conversion (4 classes)
    • Serial communication (3 classes)
    • Power management and sleep modes (1 class)
    • Examinations and review (3 classes)

    Laboratory Topics
    • Use of PC for developing programs, and for debugging software and hardware
    • Laboratory assignments to develop language programming skills
    • Laboratory assignments to develop microprocessor interfacing techniques to I/O devices
    • Design projects to interface the microcontroller to real world I/O devices. Each project requires a demonstration of the working hardware and software plus a formal design report

    Coordinator
    Dr. Kerry Widder
  
  • EE 2931 - Systems Interfacing

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In this course students develop the ability to design complex embedded systems using microprocessors. Students construct a single-board microcomputer system which is used to control a mobile robot. Components needed for this project are purchased by the student in kitform. Concepts covered include embedded systems design, sensors and actuators, interfacing of analog and digital sensors and actuators, and electro-mechanical devices. (prereq: EE 2920 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Utilize typical micro-controller subsystems such as EEPROM, ADC, Timer, UART
    • Design embedded systems for a specific application
    • Design interrupt driven programs
    • Design complex programs for embedded systems
    • Design and conduct experiments
    • Write a professional technical report

    Prerequisites by Topic
    • DC circuit analysis (EE 2050)
    • Micro-controller subsystem programming (EE 2920)
    • C programming (EE 1910)

    Course Topics
    • Hardware and software interface of sensors and actuators (6 classes)
    • Mechanical system design (2 classes)
    • FSM and interrupt-driven programming (4 classes)
    • Test-plan design and implementation (3 classes)
    • LCD interface (1 class)
    • Hardware design of embedded systems power supply and reset circuitry (1 class)
    • Serial to parallel conversion using I2C (1 class)

    Laboratory Topics
    • Inventory parts
    • Build mechanical platform and power subsystem
    • Write function and test procedure for LCD serial driver
    • Write functions for forward, reverse, and turning
    • Write functions for line sensing
    • In-lab practical examination
    • Write functions for obstacle detection
    • Write program and test procedure for navigating the ring and pushing blocks out of the ring
    • Write program and test procedure for system compliance testing
    • Write program and test procedure for final competition

    Coordinator
    Dr. Kerry Widder
  
  • EE 3001B - Signals and Circuits I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The theory and circuit applications of periodic signals are covered in this bridge course. The power in a circuit with multiple frequencies is investigated initially. Periodic signals are analyzed in circuits and filters using the sine and cosine forms of the Fourier series. The spectra of periodic signals are constructed from the Fourier series and signal distortion types are identified. The course concludes with the analysis and development of operational amplifier circuit relations. Laboratory experiments will reinforce the concepts presented. Note: This course is intended for transfer students and should be taken only upon approval of an EE program advisor. (prereq: full admission into the AAS-EET to BSEE transfer track or consent of an EE program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the power and effective value of sinusoidal signals in a circuit with multiple AC sources, whether of the same or different frequencies
    • Determine the average and effective values of periodic waveforms
    • Determine the response of linear circuits and systems to periodic signal inputs using the cosine and sine forms of the Fourier series
    • Determine the spectra of periodic signals
    • Identify and explain the reason for amplitude and phase distortion when present
    • Analyze electric circuits with dependent sources
    • Develop the output and gain expressions for basic OP-AMP circuit configurations
    • Apply mathematical software (currently Mathcad) in complex number, transfer function, and Fourier series calculations and plotting

    Prerequisites by Topic
    • DC and AC steady state circuit analysis: series-parallel circuit analysis, complex power, and superposition
    • Transfer functions and Bode plots of first order circuits
    • Differential and integral calculus
    • Calculations and plotting in spreadsheets or mathematical software
    • Circuit simulation software usage
    • Ideal OP-AMP properties

    Course Topics
    • Course introduction and orientation. (2 classes, not including the usual two lecture classes of the first week lost due to the Labor Day holiday)
    • Electrical power of multiple sinusoidal signals, average values, and effective values (4 classes)
    • Periodic signal representation with the sine and cosine (polar) forms of the Fourier series, spectra, circuit analysis, and distortion (5 classes)
    • Nodal analysis with dependent sources, basic OP-AMP circuit analysis to develop output and gain expressions (6 classes)
    • Exams and homework, including the final exam (12 classes)

    Laboratory Topics
    • Introduction, laptop and software setup and orientation, electronic instruments, safety (2 sessions) [Exp. 1, 3]
    • Mathematical software tutorial (1 session) [Exp. 2]
    • Complex power, average power, and effective values (DMM, handheld power meter) (1 session) [Exp. 4]
    • Response of first order circuits (digital oscilloscope with FFT module, arbitrary waveform generator) (2 sessions) [Exp. 5, 8]
    • Generating periodic waveforms by adding spectral components from AWGs (1 session) [Exp. 6]
    • Spectra measurements (digital oscilloscope with FFT module, arbitrary waveform generator) (3 sessions) [Exp. 7, 8]
    • Activity to be designated per the instructor’s discretion (1 session)
    • OP-AMP phase shifting networks (1 session) [Exp. 9]

    Coordinator
    Dr. Robert Strangeway
  
  • EE 3002B - Signals and Circuits II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The transient responses of electric circuits are emphasized in this bridge course. Initially a variety of waveforms, including step, ramp, sinusoid, exponential, and impulse functions, are expressed analytically. The voltage-current responses of resistances, inductors, and capacitors to these waveforms are determined. Time domain differential equations and Laplace transforms are emphasized as circuit analysis techniques to determine the transient responses of first and second order circuits. An examination of transfer functions and pole-zero diagrams concludes the course. Note: This course is intended for transfer students and should be taken only upon approval of an EE program advisor. (prereq: EE 3001B , MA 235  or MA 3502 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Mathematically express step, ramp, sinusoid, exponential, impulse, and combinations of functions (composite waveforms)
    • Describe the electrical principles underlying the voltage-current time domain relationships for resistances, inductors and capacitors
    • Set-up and solve differential equations to determine the complete time-domain responses of simple RC, RL, and RLC networks
    • Apply the exponential function and Euler’s identity in the development of the AC sinusoidal phasor relationships from the time domain relationships for resistances, inductors, and capacitors
    • Evaluate Laplace and inverse Laplace transforms using tables, partial fraction expansion, and software
    • Utilize Laplace transforms in the solution of circuits with initial conditions
    • Describe circuit behavior from the poles of a transfer function, including the relationship between frequency and time domain responses
    • Apply mathematical software (currently Mathcad and MATLAB) in waveform and transient circuit calculations and plotting

    Prerequisites by Topic
    • Steady state DC, AC, and periodic signal circuit analysis
    • Transfer functions and Bode plots of first-order circuits
    • Basic RL and RC circuit transients (charging, discharging, and time constant concepts)
    • Resonant circuits
    • Differential and integral calculus
    • Differential equations
    • Operational knowledge of mathematical software (currently Mathcad)

    Course Topics
    • Course introduction, mathematical expression of waveforms (4 classes)
    • Time domain behavior and voltage-current relationships of resistors, inductors, and capacitors with application to single waveform functions; the Op-Amp integrator and differentiator (3 classes)
    • Solution of simple RL, RC, and RLC circuits in the time domain using differential equations (4 classes)
    • Development of AC phasor relationships from time domain relationships using exponential functions and Euler’s identity (2 classes)
    • Laplace transform concepts, transform properties and mechanics of circuit analysis (5 classes)
    • Circuit analysis, transfer functions, and time domain-complex frequency domain relationships (6 classes)
    • Mathematical software instruction (currently MATLAB) (1 class)
    • Exams and homework, including the final exam (16 classes)

    Coordinator
    Dr. Robert Strangeway
  
  • EE 3032 - Signals and Systems

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces fundamental engineering signals and systems analysis. Important signal and system topics include signal and system properties, impulse and step responses, convolution, Fourier series, Fourier transform, power and energy, frequency response, and sampling. Applications such as signal filtering, radar systems, music, and communication systems will be covered during in-class application modules. MATLAB will be used to model and simulate signals and systems. (prereq: EE 2070  or EE 3002B  or EE 2725 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Compute the output of a continuous-time, LTI system using time-domain techniques
    • Represent a continuous-time signal using a set of orthogonal basis functions.
    • Derive the Fourier series coefficients for a given periodic signal.
    • Determine and plot the magnitude and phase spectra of a signal using Fourier analysis.
    • Compute the power orenergy, as appropriate, of a continuous-time signal using its time- or frequency-domain representation.
    • Compute the output of a continuous-time LTI system using frequency-domain techniques.
    • Determine the Fourier transform of a signal by using the Fourier transform integral or a table of common pairs and properties.
    • Analyze a multistage system in block-diagram form, such as a communication system
    • Determine the frequency-domain representation of an impulse-train sampled signal.

    Prerequisites by Topic
    • Calculus
    • Circuit analysis
    • 1st and 2nd order differential equations
    • Laplace transforms

    Course Topics
    • Introduction to signals and systems
    • Signal and system properties
    • Convolution integral and impulse and step responses
    • Fourier series and its properties
    • Fourier transform and its properties
    • Spectrum of a continuous-time signal
    • Calculation of signal power or energy
    • Bandwidth of signals and systems
    • Sampling and reconstruction of a sampled signal
       

    Coordinator
    Dr. Jay Wierer
  
  • EE 3050 - Dynamic Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces modeling and analysis techniques of the major types of dynamic engineering systems: mechanical translational, mechanical rotational, electromechanical, and operational amplifier systems. Appropriate methods for analytically solving system differential equations are reviewed. (prereq: EE 2070  and PH 2011 ) (coreq: MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand basic components of mechanical and electrical (including ideal operational amplifiers)
    • Combine mechanical and electrical (including ideal operational amplifiers) components into systems
    • Formulate mechanical, electrical, and mixed discipline systems into appropriate differential equation models including state space models
    • Analyze systems for dynamic time-domain response and for frequency response
    • Recognize the similarity of the response characteristics of various physically dissimiliar systems
    • Predict system response using analytic methods

    Prerequisites by Topic
    • Linear differential equation solution techniques
    • Transient analysis of series and parallel RLC circuits
    • Laplace transform analysis of circuits
    • Transfer functions
    • Electric circuit frequency response
    • Draw free body diagrams for static systems
    • Identify forces related to each other through Newton’s 3rd Law of Motion
    • Apply the principles of Conservation of Energy and Conservation of Linear Momentum to solve problems

    Course Topics
    • Modeling in the frequency domain
    • Modeling in the time domain
    • Time response

    Coordinator
    Dr. Jennifer Bonniwell
  
  • EE 3051B - Dynamic Systems

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces modeling and analysis techniques of the major types of dynamic engineering systems: mechanical translational, mechanical rotational, thermal, electromechanical, fluid, and operational amplifier systems. Appropriate methods for analytically solving system differential equations are reviewed. (prereq: EE 3002B  or EE 2070 , PH 113  or PH 2011 ) (coreq: MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Represent a mechanical system using free body diagrams
    • Understand basic components of dynamic mechanical and electrical systems
    • Combine mechanical and electrical (including DC motors) components into systems
    • Formulate mechanical, electrical, and mixed discipline systems into appropriate differential equation models including state space models
    • Analyze systems for dynamic time-domain response and for frequency response
    • Predict system response using analytic methods

    Prerequisites by Topic
    • Linear differential equation solution techniques
    • Transient analysis of series and parallel RLC circuits
    • Laplace transform analysis of circuits
    • Transfer functions
    • Electric circuit frequency response
    • Identify forces related to each other through Newton’s 3rd Law of Motion
    • Apply the principles of Conservation of Energy and Conservation of Linear Momentum to solve problems

    Course Topics
    • Modeling translational and rotational dynamic systems in the time domain
    • Modeling translational and rotational dynamic systems in the frequency domain
    • Time response of 2nd order mechanical systems
    • State-space representation of systems

    Coordinator
    Dr. Jennifer Bonniwell
  
  • EE 3102 - Analog Electronics I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course considers the mathematical modeling of active, solid-state devices and the analysis and design of single-stage circuits incorporating them. Small signal amplifiers are analyzed and designed, and the circuits are implemented in the laboratory. Topics covered include the study of device characteristics and applications of p-n-junction diodes, bipolar junction transistors, and field effect transistors. Circuit simulation software is utilized as an engineering design tool. (prereq: EE 2070  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the operation of semiconductor devices
    • Design and implement basic diode and Zener diode circuits
    • Design and implement single-stage amplifier circuits using either BJTs or FETs
    • Create small-signal mid-band equivalent circuits for a single-stage amplifier
    • Design BJT differential amplifier and current sources
    • Apply probability analysis to electronic circuits
    • Maintain a laboratory notebook
    • Design and conduct experiments

    Prerequisites by Topic
    • AC circuit analysis
    • Transfer functions
    • First-order circuits

    Course Topics
    • Ideal and real diodes and diode circuits
    • Zener diodes and Zener regulator
    • DC and AC analysis of BJT amplifiers
    • DC and AC analysis of FET amplifiers
    • DC and AC analysis of differential amplifiers
    • DC analysis of current sources

    Laboratory Topics
    • Diode, BJT, and FET device characterization
    • FET and BJT applications in logic, switching, and amplifiers

    Coordinator
    Dr. Steve Holland
  
  • EE 3112 - Analog Electronics II

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course focuses on design with operational amplifiers. Linear and non-linear amplifiers, active filters, and signal generators are covered. The concepts of stability of operational amplifier circuits are introduced. Static and dynamic limitations are covered. Emphasis is placed on the design of different kinds of operational amplifier circuits and their applications. (prereq: EE 3102  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamentals of operational amplifiers
    • Design operational amplifier circuits with resistive feedback
    • Design simple active filters
    • Describe static and dynamic limitations of operational amplifiers
    • Determine stability of operational amplifier circuits
    • Design non-linear operation amplifier circuits

    Prerequisites by Topic
    • Transfer functions
    • Bode plots
    • Transient first and second order circuit analysis
    • BJT and FET device operation
    • Single stage transistor amplifier analysis

    Course Topics
    • Operational amplifier fundamentals
    • Operational amplifiers with resistive feedback
    • Active filters
    • Static op amp limitations
    • Dynamic op amp limitations
    • Stability
    • Non-linear circuits
    • Signal generators

    Laboratory Topics
    • Linear amplifier design, simulation, and implementation
    • Instrumentation amplifier design, simulation, amd implementation
    • First-order active filter design, simulation, and implementation
    • Second-order active filter design, simulation, and implementation
    • Approximate filter design
    • Multiple linear amplifier and active filter design, slew-rate determination
    • Frequency compensation
    • Schmitt trigger design

    Coordinator
    Dr. Steve Holland
  
  • EE 3204 - Electric and Magnetic Fields

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The primary goal of this course is to develop an understanding of the physical properties of electric and magnetic fields, which is the basis for electromagnetic field applications in electrical engineering. The associated mathematical vector analysis techniques serve as the vehicle to determine, analyze, and interpret electric and magnetic fields in various coordinate systems. Topics include vector algebra and calculus in the Cartesian, cylindrical and spherical coordinate systems, Coulomb’s law, Gauss’s law, electric potential, capacitance, Biot-Savart law, Ampere’s Circuital law, and inductance. (prereq: MA 232  or MA 2323  or MA 3501 , PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply vector and calculus techniques to the solution of electromagnetic field problems in rectangular, cylindrical and spherical coordinate systems.
    • Apply Coulomb’s law, Gauss’s law, potential, Biot-Savart law, and Ampere’s Circuital law to determine the analytical expressions of the electric and magnetic fields produced under idealized geometrical conditions.
    • Describe capacitance and inductance in terms of electromagnetic field concepts and energy.
    • Describe electric and magnetic field behavior from analytic expressions and/or simulation results.

    Prerequisites by Topic
    • Calculus
    • Physics of electricity and magnetism

    Course Topics
    • Vector algebra and coordinate systems (10 classes)
    • Electrostatics: Coulomb’s law, Gauss’s law, and electric potential (9 classes)
    • Capacitance and conductor-dielectric boundary conditions (2 classes)
    • Magnetism, current densities, magnetostatics, Biot-Savart law (4 classes)
    • Ampere’s Circuital law, magnetomotive force principles for magnetic circuits, inductance (5 classes)
    • Introduction, homework and examinations (including final examination) (11 classes)

    Coordinator
    Dr. Robert Strangeway
  
  • EE 3214 - Electromagnetic Waves

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The primary goal of this course is to establish the foundation concepts and applications of electromagnetic waves in the context of wireless applications. The course builds on electromagnetic field principles covered in previous courses. The course begins with an introduction to time dynamic electromagnetic fields. Maxwell’s equations are then examined. Electromagnetic wave propagation is initially developed from a circuits viewpoint in the study of transmission lines. The Smith Chart is utilized to graphically determine and display transmission line and measurement results. Scattering parameters are introduced as the parameters used to express specifications and measurements of high-frequency components. Transmission line concepts are then extended to electromagnetic plane waves. Antennas and propagation are examined from a communication link viewpoint. An introduction to electromagnetic interference and signal integrity issues concludes the course. High frequency measurement techniques, components, and instrumentation are examined in the laboratory sessions. (prereq: MA 235  or MA 3502, EE 3204  or (EE 3202 and consent of EE program director))
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply electromagnetic principles to electronic components and circuits
    • Apply, interrelate, and interpret transmission line predictions, specifications, and/or measurements (s-parameters are included)
    • Determine transmission line quantities (voltage, current, impedance, power, reflection coefficient, and VSWR) as a function of position and/or frequency
    • Explain antenna and link properties in terms of electromagnetic field principles and concepts
    • Determine first order link performance via the Friis equation

    Prerequisites by Topic
    • Vector analysis in rectangular, cylindrical, and spherical coordinate systems.
    • Vector calculus-based electrostatics and magnetostatics (integral forms).
    • Differential equations

    Course Topics
    • Faraday’s law, mutual inductors, displacement current, and time-dynamic Maxwell’s equations (integral forms) (4 classes)
    • Transmission lines (DC transients and AC steady-state) (8 classes)
    • Smith Charts (3 classes)
    • Scattering parameters, components (2 classes)
    • Plane waves, antennas, and links (3 classes)
    • EMI and signal integrity (2 classes)
    • Introduction, homework days and examinations (including final examination) (9 classes)

    Laboratory Topics
    • Laboratory safety (LMP)
    • Magnetic circuit (Simulation)
    • Laboratory documentation
    • Mutual inductor characteristics (lecture and experiment; 2 sessions)
    • Electrostatic and magnetostatic coupling of transmission lines
    • Microwave laboratory: introduction, safety, and power measurements
    • Insertion loss measurements
    • Directional couplers, return loss, and VSWR measurements
    • RF simulation (part of VNA experiment)
    • Vector network measurements (interactive demonstration)
    • Horn antenna link
    • Electromagnetic interference (EMI) measurements (lecture and interactive demonstration)

    Coordinator
    Dr. Robert Strangeway
  
  • EE 3221 - Digital Signal Processing

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course is an introduction to the digital processing of signals. It begins with the examination of sampling and reconstruction of continuous-time signals, which then motivates the study of fundamental DSP topics. Discrete time signal and system interaction is examined in both the time and frequency domains.  The course then examines DSP topics and techniques including the discrete Fourier transform, fast Fourier transform, FIR and IIR filtering, and design of digital filters using various techniques. Lecture topics are supported and extended by laboratory experiments that integrate DSP theory, MATLAB simulation, and implementation on actual real-time DSP hardware. (prereq: EE 3032 , EE 1910  or EE 3910B  or EE 2905  or CE 2812 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Relate the spectrum of a continuous-time signal to the spectrum of the sampled signal computed using the DFT.
    • Compute the z-transform of a discrete-time signal using the z-transform summation and a table of common pairs and properties
    • Determine the transfer function, frequency response, and stability of a discrete time system
    • Determine the signal-to-noise ratio that results from digitizing an analog signal
    • Design an IIR digital filter by using pole-zero placement methods
    • Implement a prototype analog filter in a discrete-time system using the Bilinear Transform
    • Compute the output of a discrete-time LTI system using time-domain and frequency-domain technique
    • Use computer-aided methods to design FIR and IIR digital filters
    • Implement digital filters in real-time using actual DSP hardware

    Prerequisites by Topic
    • Continuous-time signals and systems including time-domain and frequency-domain analysis
    • Laplace and continuous-time Fourier transforms
    • Procedural programming in C (or similar)

    Course Topics
    • Impulse-train sampling
    • Signal-to-noise ratio of digital signals
    • Discrete-time signals and systems
    • Time-domain analysis of discrete-time systems
    • Z transform
    • Frequency-domain analysis of discrete-time systems
    • Relationship between CTFT, DTFT, and DFT
    • IIR and FIR digital filter design
    • Bilinear transform

    Laboratory Topics
    • Introduction to real-time processing of digital signals
    • Signal generation and aliasing
    • Analog input/output in a real-time DSP system
    • Quantization error
    • Discrete filters and frequency response
    • DFT windowing
    • FIR filter design
    • IIR filter design using pole/zero placement
    • IIR filter design using bilinear transformation

    Coordinator
    Dr. Cory Prust
  
  • EE 3401 - Electromechanical Energy Conversion

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course provides an introduction to the basic principles of electromechanical energy conversion devices. Topics include three-phase circuits; magnetic circuits; theory, construction, and operation of transformers; performance characteristics and analysis of common rotating ac machines and their control. The concurrent laboratory work reinforces the theoretical principles involved. (prereq: EE 2060  or equivalent and PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Measure complex power flow in single and three phase circuits
    • Perform short-circuit and open-circuit tests on a transformer and determine the parameters of the equivalent circuit
    • Operate a three-phase squirrel-cage induction motor and measure the motor torque-speed and efficiency curves
    • Understand basic methods of starting and speed control of induction and synchronous motors
    • Operate a three-phase variable field synchronous motor and measure the open circuit characteristic and V-curves
    • Analyze balanced three-phase circuits
    • Compute complex power flow in balanced three-phase circuits
    • Solve basic two-dimensional magnetic circuit problems
    • Analyze circuits with single and three phase transformers
    • Know the basic construction features of three-phase squirrel-cage induction (asynchronous) motors
    • Analyze three-phase induction motor steady state operation
    • Describe the basic construction details of cylindrical rotor and salient-pole three-phase synchronous machines
    • Analyze three-phase cylindrical rotor synchronous generator and motor steady state operation

    Prerequisites by Topic
    • Steady state single phase ac circuit analysis
    • Single phase complex power

    Course Topics
    • Prerequisite review and assessment (1 period)
    • Single phase ac power flow (1 period)
    • Three phase ac circuit analysis and power flow (2 periods)
    • Magnetic circuits, hysteresis, and eddy-current losses (3 periods)
    • Principles of operation, construction, connections, development and analysis of the equivalent circuit of the transformer (6 periods)
    • Rotating magnetic fields; performance characteristics and analysis of three-phase induction motors (7 periods)
    • Performance characteristics and simplified analysis of synchronous machines (4-5 periods)
    • Exams and reviews (5 periods)

    Laboratory Topics
    • Laboratory safety, engineering logbooks, prerequisite quiz
    • Single and three-phase ac power measurements
    • Single-phase transformer tests
    • Three-phase transformer connections
    • Squirrel cage induction motor fixed frequency operation
    • Squirrel cage induction motor variable frequency operation
    • Synchronous motor V-curve
    • Synchronous machine open circuit characteristic

    Coordinator
    Dr. Luke Weber
 

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