Apr 29, 2024

2014-2015 Graduate Academic Catalog

2014-2015 Graduate Academic Catalog [ARCHIVED CATALOG]

Course Descriptions

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Architectural Engineering
	AE 610 - 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. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • analyze structures using one dimensional finite elements • analyze structures using approximations of two dimensional finite elements • analyze diverse structures using finite element software Course Topics • Stiffness matrices • material model • boundary conditions • applied loading Laboratory Topics • None appended Coordinator Hans-Peter Huttelmaier
	AE 612 - Structural Dynamics 3 lecture hours 0 lab hours 3 credits Course Description This course introduces analysis of single degree of freedom systems, multidegree of freedom systems, free vibration analysis, forced system response, analysis of earthquake loading, and modal analysis. (prereq: Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • analyze single degree of freedom systems for a variety of dynamic loadings • analyze multi-degree of freedom systems for a variety of dynamic loadings • calculate the response of simple structures to earthquake loading Prerequisites by Topic • Matrix methods for structural analysis Course Topics • Single degree of freedom (SDOF) systems • equation of motion • free vibration • harmonic loads • impulsive loads • methods for numerical solution of equations of motion • finite difference methods for linear and nonlinear systems • earthquake response history and spectra • multi-degree of freedom (MDOF) systems • equation of motion • other preliminary topics • free vibration • modal damping • modal analysis for linear systems Laboratory Topics • None appended Coordinator Douglas Stahl
	AE 614 - 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 612 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Determine wind loads on the main wind force resisting system • Determine wind loads on components and cladding • Determine earthquake loads on a structure Prerequisites by Topic • Structural Dynamics Course Topics • Earthquake loads • response of MDOF systems • ASCE-7 Seismic analysis • Performance-based design • ASCE-7 Wind loads Laboratory Topics • None appended Coordinator Richard DeVries
	AE 616 - 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 column buckling, torsional buckling of beams, plate buckling, modeling structural stability with the finite element method, and post-buckling behavior. (prereq: AE 610 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Determine column buckling behavior and torsional buckling capacity of beams • determine plate buckling capacities • model structural stability with the finite element method Prerequisites by Topic • Finite Element Analysis Course Topics • Structural stability • buckling behavior, torsional buckling • plate buckling • modeling • post-buckling behavior Laboratory Topics • None appended Coordinator Hans-Peter Huttelmaier
	AE 720 - 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: graduate standing, AE 740 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • be familiar with the material properties of masonry units and mortar • understand the behavior and design of masonry flexural members • understand the design of masonry walls for axial loads • understand the design of masonry walls for out-of-plane bending • understand the design of masonry walls for in-plane bending and shear • be familiar with detailing of masonry walls • understand design of anchorage in concrete and masonry Prerequisites by Topic • Strength of Materials • Determinate Structural Analysis • Indeterminate Structural Analysis Course Topics • Introduction to course • Materials (CMU, mortar, grout, reinforcement) • Introduction to ACI 530 • Reinforced Masonry Beams • Masonry with Axial Loads (columns, walls and pilasters, slender walls • Wall with In-Plan Bending and Shear (unreinforced and reinforced walls, distribution of force to walls, openings) • Detailing of Masonry (non-masonry lintels, moisture, veneers) • Anchorage design in Masonry and Concrete • Construction Issues • In-Class exams Laboratory Topics • None appended Coordinator Richard DeVries
	AE 730 - AISC Steel Design 3 lecture hours 0 lab hours 3 credits Course Description This course presents advanced topics in design of steel structures. Topics include plate girder design, column and frame design, bracing design, connection design, and advanced floor serviceability. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • design plate girders for flexure and shear • design steel frames for gravity and axial loads • design bracing systems for steel structures • design connections for steel structures • understand advanced floor serviceability Prerequisites by Topic • Determinate and indeterminate structural analysis • Understanding of structural analysis software • Understanding of basic design for steel tension, compression, flexural and combined flexural/axial members Course Topics • Design of plate girders (2 classes) • Design of columns including slender element effects (2 classes) • Design of braced and moment frames, including design using the direct analysis method (2 classes) • Analysis of steel framed floors for occupant-induced vibrations (1 class) • Design of connections for steel structures, including partially-restrained connections (2 classes) • Exam (1 class) Laboratory Topics • None appended Coordinator Christopher Raebel
	AE 732 - Steel Design for Buildings (AISI) 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 and ASD methodology published by AISI. It also covers flexural members, compression members, beam-columns, connections and cold-formed steel shear diaphragms for residential construction. (prereq: AE 616 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • design cold-formed steel members for flexural and shear capacity • design cold-formed steel columns and beam-columns • design connections of cold-formed steel members Prerequisites by Topic • Structural Stability (AE-616) Course Topics • AISI Design of beams, columns, connections Laboratory Topics • None appended Coordinator Hans-Peter Huttelmaier
	AE 734 - Connection Design 3 lecture hours 0 lab hours 3 credits Course Description This course focuses on the design of connections between structural members. Emphasis is 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; design of special connections for earthquake loading. (prereq: AE 730 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the basis for connection design as presented in the AISC Manual • Determine limit states for different types of connections • Determine connection efficiency for given loads • Determine suitability of connections for different situations • Understand analysis methods unique to connection design • Design simple shear, moment and partially restrained connections • Design light and heavy bracing connections • Understand how seismic loading affects the design of the connection Prerequisites by Topic • Determinate and indeterminate structural analysis • Understanding of structural analysis software • Understanding of basic design for steel tension, compression, flexural and combined flexural/axial members • Understanding of design of simple connections (tension, shear, moment) Course Topics • Fastener types (1 class) • Eccentric loading on fasteners (2 classes) • Prying action (1 class) • Framing connections (2 classes) • Moment connections (1 class) • Bracing connections (1 class) • Partially restrained connections (1/2 class) • Introduction to connection design for seismic loading (1/2 class) • Exam (1 class) Laboratory Topics • None appended Coordinator Christopher Raebel
	AE 740 - Reinforced Concrete Member Design 3 lecture hours 0 lab hours 3 credits Course Description This course presents the fundamental behavior and design of reinforced concrete members. Topics include design and detailing of reinforced concrete beams and columns for flexure, shear, torsion, and axial forces. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • understand the moment-curvature behavior of reinforced concrete sections • understand the design of singly reinforced, doubly reinforced concrete beams and one-way slabs • understand the design of non-rectangular members for flexure • understand the design and detailing of members for shear and torsion • understand the design and detailing of development of reinforcement in concrete • understand the behavior of concrete sections subjected to axial and flexural loads • understand the design and detailing of non-slender and slender reinforced concrete columns • be introduced to pre-cast, pre-stressed concrete Prerequisites by Topic • Strength of Materials, • Determinate Structural Analysis • Indeterminate Structural Analysis Course Topics • Introduction to Course • Introduction to ACI Specification • Analysis of Reinforced Concrete Structures • Review of Material Properties • Moment-Curvature Behavior of Concrete Sections and Ductility • Flexure Design (singly reinforced, one way slabs, doubly reinforced, non-rectangular shapes) • Deflection of Reinforced Concrete Beams • Detailing of Flexural Reinforcement (maximum and minimum steel, crack control) • Development of reinforcement (straight bars, hooks, bar cutoffs, structural integrity steel) • Shear and Torsion Design (shear design and detailing, space truss analogy, detailing) • Interaction of flexural and axial loads • Slender column design (moment magnification, dimensionless interaction diagrams) • Introduction to pre-cast, pre-stressed concrete • In-class exams Laboratory Topics • None appended Coordinator Richard DeVries
	AE 742 - 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 basement walls, design of slabs on grade, design of piers and piles, and design of pile caps with the strut and tie method. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Design a spread footing subjected to axial load and moment • Design a base plate subjected to axial load and moment • Explain the design of deep foundations for axial and lateral loads Prerequisites by Topic • Reinforced Concrete Course Topics • Live Load reduction; shallow foundation design; base plate design; anchorage to concrete; basement wall design; slab on ground design; deep foundation design; strut-and-tie method Laboratory Topics • None appended Coordinator Richard DeVries
	AE 744 - 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, and connection design. (prereq: AE 740 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Design prestressed concrete beams for deflection, flexure, development, shear, and torsion; Design prestressed concrete columns subjected to axial and flexural loads; Determine prestressed connection capacities Prerequisites by Topic • Reinforced Concrete Course Topics • Analysis Methods; Loss of Prestress; Flexure Design; Shear and Torsion Design; Compression Member Design; Connection Design Laboratory Topics • None appended Coordinator Richard DeVries
	AE 746 - Reinforced Concrete Structure Design 3 lecture hours 0 lab hours 3 credits Course Description This course presents the design of reinforced concrete floors. The course covers systems from pan joists to two way slabs and flat plate floors. ACI code provisions are studied. Designs derived from the ACI Direct Design and Equivalent Frame method are compared with those from commercial structural design software. Design topics include minimum thicknesses, rebar selection and placement, and connection design. (prereq: AE 740 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • familiar will the ACI code provisions and engineering methods needed to design any of the common concrete floor systems: Pan joist, wide pan, flat slab and flat plate with conventional reinforcement Prerequisites by Topic • A previous high level concrete class equivalent to AE401 or AE740 Course Topics • ACI code provisions for pan joist floors • Designing a pan joist floor for shear and moment • Wide pan code considerations • ACI code provisions for flat slab floors • The Direct Design and Equivalent Frame method • ACI code provisions for flat plate floors • Introduction to posttensioned floor design Laboratory Topics • None appended Coordinator John Zachar
	AE 750 - Wood Design 3 lecture hours 0 lab hours 3 credits Course Description The 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: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • be familiar with the material properties and manufacture of sawn and engineered wood products • understand the design of sawn and engineered wood members for flexure, shear, axial and combined axial and flexural loads • understand the selection of plywood for out-of-plane loading • understand the design or horizontal wood diaphragms and vertical wood shear walls • understand the design of bolted connections of wood members • understand the design of nailed connections of wood members • be familiar with other connections of wood members Prerequisites by Topic • Strength of Materials • Determinate Structural Analysis • Indeterminate Structural Analysis Course Topics • Introduction to Course • Introduction to NDS Specification • Material Properties and Manufacture of Sawn and Engineered Wood Products • Sawn Beam Design Laboratory Topics • None appended Coordinator Richard DeVries
	AE 760 - 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: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • be able to determine the underlying factors in structural system selection with the Owner, Architect, and Engineers of other disciplines in mind • have an understanding of the structural system selection process for low-, mid-, and high-rise buildings • be introduced to spreadsheets, software and other resources available from various professional organizations • have studied materials and materials selection that may be considered “unique” • have made new contacts with experts in the building construction industry • have gained an appreciation for the differences in firms and how other firms approach building design and troubleshooting Prerequisites by Topic • Understanding of design methodologies for different structural materials (steel, concrete, wood, masonry) • Basic understanding of structural analysis software Course Topics • broad-based system selection comparing materials and construction processes (1 class) • open-web joists, joist girders, metal deck (2 classes) • efficient framing and lateral resistance schemes for steel framed structures (1 class) • comparison between concrete floor systems (2 classes) • considerations for masonry structures (1 class) • design considerations for parking structures (1 class) • other systems (wood, light gage steel) (1 class) • considerations when using structural software (1 class) Laboratory Topics • None appended Coordinator Christopher Raebel
	AE 762 - Bridge Design 0 lecture hours 0 lab hours 3 credits Course Description This course provides an introduction to the design of vehicular bridge structures. Topics include loading and design requirements of the latest AASHTO LRDF specifications with emphasis on moving loads, design of reinforced concrete slabs and box culverts, and design of continuous girder bridges with steel beams and precast concrete beams. (prereq: Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • understand the different types of bridges and when their use is appropriate • determine AASHTO loading requirements for bridges • design basic steel girder bridges • design basic reinforced concrete slab bridges Prerequisites by Topic • Structural analysis, design of steel and reinforced concrete structures Course Topics • Short topics: Minneapolis I-35 collapse; Bridge types and economical spans; Fatigue and Fracture Mechanics; Hoan Bridge; Aesthetics in design; Arches; Suspension bridge types; Tacoma Narrows; Connecticut Turnpike at Mianus River • Basic structural analysis with moving loads • Loadings and load combinations • Girder bridges: general concepts • Two-span continuous composite rolled steel beam bridge design • Girder bridges: additional topics for precast concrete girders and steel plate girders • Multi-span reinforced concrete slab bridge design • Multi-cell box culvert design Laboratory Topics • None appended Coordinator Douglas Stahl
	AE 799 - Structural Engineering Independent Study 1 lecture hours 0 lab hours 3 credits Course Description Independent study allows a student with a particular interest in a topic to undertake additional work outside of the classroom format. The student works under the supervision of a faculty member and undertakes studies that typically lead to a report. (A maximum of three credits of independent study may be applied to a Master of Science in Structural Engineering degree; credits for independent study may not be transferred from other institutions.) (prereq: Consent of program director or department chairperson) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Determined by student and faculty Prerequisites by Topic • None appended Course Topics • Determined by student and faculty Laboratory Topics • None appended Coordinator Richard DeVries
	AE 800 - Research and Presentation 3 lecture hours 0 lab hours 3 credits Course Description This course presents research skills, critical reading skills, and technical presentation (written and oral) skills needed by a practicing structural engineer. The student will select a topic relevant to structural engineering and conduct literature research on that topic. The student will present the results of the research with a written technical report following MSOE document and style guidelines. The student will also give an oral presentation on the results of the research. (prereq: graduate standing in MSST program, successful completion of 18 credits in MSST program, approval of program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Conduct research; communicate results Prerequisites by Topic • None appended Course Topics • Determined by student and faculty advisor Laboratory Topics • None appended Coordinator Richard DeVries
	AE 890 - Structural Engineering Design I 3 lecture hours 0 lab hours 3 credits Course Description This two-course sequence (with AE 892 ) is the independent capstone project of the Master of Science in Structural Engineering program. The student will complete a project that presents a comprehensive solution to a structural 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 Structural Engineering program director and the AE&BC Department chairperson. Satisfactory progress and completion of the capstone project is to be determined by an academic committee consisting of the faculty advisor and at least two additional faculty members. (prereq: consent of MSST program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Conduct research; communicate results Prerequisites by Topic • None appended Course Topics • Determined by student and faculty advisor Laboratory Topics • None appended Coordinator Richard DeVries
	AE 892 - Structural Engineering Design II 3 lecture hours 0 lab hours 3 credits Course Description This two-course sequence (with AE 890 ) is the independent capstone project of the Master of Science in Structural Engineering program. The student will complete a project that presents a comprehensive solution to a structural 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 Structural Engineering program director and the AE&BC Department chairperson. Satisfactory progress and completion of the capstone project is to be determined by an academic committee consisting of the faculty advisor and at least two additional faculty members. (prereq: AE 890 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Conduct research; communicate results Prerequisites by Topic • None appended Course Topics • Determined by student and faculty advisor Laboratory Topics • None appended Coordinator Richard DeVries
Computer Science
	CS 5881 - Artificial Intelligence 3 lecture hours 0 lab hours 3 credits Course Description This course provides an introduction to basic concepts of artificially intelligent systems. Topics covered include knowledge representation, search strategies and machine learning. The course introduces modern machine learning techniques for supervised, unsupervised, and reinforcement learning and describes the role of artificial intelligence (AI) in engineering and computing systems. Practical exercises permit students to apply AI tools and languages to suitable problems. (prereq: CS-2852, MA-2310, or consent of instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • demonstrate an understanding of the principles of Formal Logic including Propositional and First Order Logic. • conduct proofs of correctness in reasoning systems using the methods of Unification and Resolution. • understand the techniques involved with reasoning in the presence of uncertainty. • address the problems related to search, and its application to intelligent systems, including: game playing, decision making, and adversarial search. • understand and apply modern machine learning techniques for supervised, unsupervised, and reinforcement learning. Prerequisites by Topic • A fundamental understanding of structured programming languages • A fundamental understanding of data structures and algorithms • A fundamental understanding of probability and statistics Course Topics • Problem Solving, Uninformed Search • A* Search and Heuristic Functions • Local Search • Constraint Satisfaction • Online Search • Game Playing • Logical Agents, Propositional Logic • Forward Chaining, Backward Chaining, Knowledge Agents • More Knowledge Based Agents • First Order Logic • First Order Inference • Knowledge Representation • Acting under uncertainty, axioms of probability, inference using joint distributions • Bayes Networks • Machine Learning • Supervised learning: Naive Bayes, Decision Trees, and Neural Networks • Unsupervised learning: Clustering with K-Means, K-Medoids, and Hierarchical Agglomerative clustering • Collaborative filtering • Reinforcement Learning • Data mining • Concept Learning and Inductive Hypothesis Laboratory Topics • History, defining intelligence, grand challenges, biologically inspired computing • Intelligent agents, uninformed search, informed search • Knowledge based agents • Machine learning Coordinator Jay Urbain
Civil Engineering
	CV 512 - Geographical Information Systems (GIS) 3 lecture hours 0 lab hours 3 credits Course Description This course will cover fundamentals of GIS analysis applied to environmental and engineering-related problems. In this course you will learn to use ArcGIS software, and you will also learn key fundamentals of using geographic information systems (GIS). At the end of the course you will be an informed GIS user, as well as being competent at ArcGIS. Topics include data sources, creating and collecting data into a GIS database, performing spatial analysis, integrating GIS data with other software programs, and conceptualizing and solving spatial problems using GIS. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	CV 540 - Air Permitting 3 lecture hours 0 lab hours 3 credits Course Description The federal Clean Air Act of 1970 established national ambient-air quality standards (NAAQS) along with federal new source performance standards (NSPSs) and hazardous air pollutant emission standards (NESHAPs). In the Clean Air Act Amendments of 1990, federal permitting and enforcement of these standards was introduced in the Title V operating permit regulations. This course will introduce the student to the Title V permitting process. Specific topics addressed include reviewing Title V requirements, determining when a permit is required, describing the process for applying for permits, determining permit compliance, and understanding MACT, BACT, RACT, and LAER requirements. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Michael Schuck
	CV 550 - Physical Hydrogeology 3 lecture hours 0 lab hours 3 credits Course Description Topics include groundwater occurrence, geologic properties of groundwater systems, recharge sources and discharge sinks, Darcy’s Law of groundwater movement, differential equations of groundwater flow, solutions of steady and unsteady groundwater flow equations, pumping test design, groundwater modeling, and groundwater field methods. (prereq: CV-410, MA-235) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Kathi Ried
	CV 552 - Contaminant Hydrogeology and Groundwater Remediation 3 lecture hours 0 lab hours 3 credits Course Description Topics include identifying sources of groundwater contamination, types and properties of contaminants, advection, dispersion and diffusion contaminant migration mechanisms, contaminant transport equations, contaminant transport modeling, groundwater investigation and monitoring, and remediation of contaminated groundwater to meet risk and regulatory requirements. (prereq: CV 550 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	CV 554 - Ground Water and Soil Remediation Technologies 3 lecture hours 0 lab hours 3 credits Course Description This course presents an overview of techniques to be used to clean up existing pollutants in soil, water or air in the vicinity of hazardous waste sites. Emphasis is on the remediation of pre-existing pollution rather than on pollution prevention strategies. Topics to be covered include the following: (1) surface water control strategies such as capping of surface impoundments, floating lagoon covers, grading, revegetation, diversion and collection; (2) groundwater contaminant clean-up and control strategies such as groundwater pumping, subsurface drains, subsurface barriers, and groundwater treatment procedures such as air and steam stripping, carbon absorption, biological treatment, ion exchange absorption, chemical treatments and reverse osmosis; (3) soil remediation procedures such as in-situ bioremediation, chemical remediation, soil flushing and physical treatment techniques; (4) procedures for the control of gas emissions and fugitive dust control from surface impoundments and landfills; (5) waste, soil and sediment disposal techniques; (6) monitoring strategies for remediated sites and leak detection strategies; and (7) remediation of leaking underground storage tanks (LUST). (prereq: graduate standing in MSCV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator James Drought
	CV 611 - Environmental Chemistry 3 lecture hours 2 lab hours 4 credits Course Description Course topics include the following: (1) electroneutrality and its application to water analysis; (2) rates of chemical and biochemical reactions; (3) acid-base reactions and the carbonate system; (4) complexation reactions and chelation; (5) precipitation and dissolution reactions; (6) oxidation-reduction reactions; and (7) adsorption reactions. Modeling of aqueous equilibrium reactions will be performed using MINEQL+. (prereq: CH-201, CH-222, graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Jay Karls
	CV 614 - Environmental Microbiology 3 lecture hours 0 lab hours 3 credits Course Description This course covers the basic morphology, biology and distribution of the major microbial groups: viruses, bacteria, fungi, protozoa and algae. Distribution of pathogenic microorganisms (and their surrogates) in the environment, and the methods used for their quantification and control are examined. Microbial growth and metabolism, and the resultant molecular transformations, are studied. The activities of microbes in specific habitats (i.e., biofilms, rhizobia, aquifers) are explored. Particular attention is given to microbes used to help solve environmental problems and to those that create environmental problems. (prereq: BI-102, graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the significance of the sequencing of small subunit rRNA in the taxonomic placement of organisms • Be familiar with the structure and function of viruses, bacteria, fungi, protozoa, and algae • Understand metabolic processes utilized by microorganisms and microbial growth • Be familiar with the roles of microorganisms in biogeochemical cycles • Be familiar with microbial pathogens in the environment, direct and indirect methods of their detection, and methods of their control • Understand the formation, function, and importance of biofilms in the environment • Understand the roles of microbes in various types of wastewater treatment • Understand the roles of microbes in the degradation of organic compounds Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Jeffrey MacDonald
	CV 710 - Environmental 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: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator William Gonwa
	CV 712 - Water Quality Analysis and Modeling 3 lecture hours 0 lab hours 3 credits Course Description Topics include the development of water quality criteria for surface and ground waters, modeling water quality in rivers, lakes, and reservoirs, determining waste assimilative capacities and developing total maximum daily loads (TMDLs) for receiving waters, water toxicity and bioassays, and mixing zone studies. (prereq: CV-310) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	CV 715 - Open Channel Hydraulics 3 lecture hours 0 lab hours 3 credits Course Description Analysis of flow in open channels, including gradually varied flow (backwater and other flow profiles, flood routing) and rapidly varied flow (hydraulic jump, spillways); the design of open channels, including considerations of flood control and sediment transport, scour, and channel stabilization. (prereq: CV-415, graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator William Gonwa
	CV 720 - Design of Biological Wastewater Treatment Processes 3 lecture hours 0 lab hours 3 credits Course Description This course will provide advanced coverage of design principles for biological unit processes used in wastewater treatment. Aerobic systems include the activated sludge process, sequencing batch reactors, oxidation ditches, and stabilization ponds; anaerobic systems include anaerobic digesters, anaerobic contact units, and upflow anaerobic sludge blanket (UASB) reactors. The course will also address options for the removal of nitrogen and phosphorus using biological methods. (prereq: CV-420 or CV-421, graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Identify the raw wastewater characteristics that are of importance to the design of biological treatment processes • Quantify the effect of biochemical energy yield on reaction rates, cellular yield, reaction kinetics, oxygen demand, and reactor design • Select biological treatment processes that can be used to treat a wastewater with specified pollutant characteristics and other factors • Specify design criteria for biological unit treatment processes, including advanced treatment processes for nutrient removal, oxygen transfer, solids separation, and biosolids management • Prepare mass balances to identify solids yield and biogas production rates Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Stephen Arant
	CV 722 - Design of Water Treatment Systems 3 lecture hours 0 lab hours 3 credits Course Description This course will present the fundamental physical, chemical, and biological principles governing water treatment for potable and ultrapure purposes. Design options then presented for each major water treatment process. (prereq: CV-320, CV-322, graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	CV 724 - Industrial Wastewater Treatment 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) review of treatment standards and regulations as mandated by the Clean Water Act, Resources Conservation and Recovery Act (RCRA) and various industrial standards; (2) presentation of the unit treatment processes for industrial water and wastewater pretreatment, including pH adjustment, equalization, coagulation and flocculation, activated carbon absorption, microfiltration, ultrafiltration, reverse osmosis, ion exchange, greensand filters/iron removal, evaporation, disinfection and oxidation processes, settling tanks, and oil and hydrocarbon removal. (prereq: graduate standing in MSCV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Identify environmental standards that apply to both direct and indirect industrial discharges • Identify industrial waste stream characteristics from several major industrial categories and why these characteristics are important to the design of unit processes • Develop an overall treatment strategy for an industrial waste stream • Specify design criteria for physical, chemical, and biological unit operations and processes necessary to treat an industrial wastewater • Estimate capital and operating costs for industrial waste treatment systems Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Stephen Arant
	CV 730 - Pollution Prevention and Waste Minimization 3 lecture hours 0 lab hours 3 credits Course Description The U.S. Congress passed the Pollution Prevention Act of 1990, which states that pollution should be prevented or reduced at the source whenever feasible. This course is an introduction to both hazardous (RCRA Subtitle C) and solid (RCRA Subtitle D) waste management and strategies for source reduction of these wastes. Students are expected to complete a project that involves defining a baseline situation (process maps, generator status, applicable laws and regulations and current costs), researching alternatives, and proposing a strategy that effectively reduces wastes generated, reduces life-cycle environmental impacts and is cost effective. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator James Drought
	CV 750 - Plant Safety/OSHA Issues 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) federal regulations governing worker occupational safety and health; (2) an overview of the Occupational Safety and Health Administration; (3) a brief survey of human anatomy, physiology and pathology of the lungs, skin, ears and eyes within the context of potential industrial pathogens, chemical irritants or physical hazards; (4) identification and evaluation of industrial hazards including solvents, particulates, dermatoses, industrial noise, radiation, temperature extremes, ergonomically incompatible equipment and biological hazards; (5) techniques for the control of hazards, including ventilation, protective equipment, noise reduction strategies, principles of ergonomic design and product substitutions; and (6) case studies in designing and implementing an industrial hygiene program for various types of industries, including a description of the necessary record keeping, paperwork and documentation required. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Jay Karls
	CV 752 - Risk Assessment and Environmental Auditing 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) a review of the environmental risk assessment process; (2) a review of environmental auditing procedures, including an introduction to ISO 14,000 and its impact on the environmental auditing process; (3) an overview of federal requirements relating to environmental assessments and impact statements; 4) a project involving the conducting of an actual audit of a facility; and 5) a project involving the review ad assessment of the risk assessment process used in developing an existing regulation. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Michael Schuck
	CV 756 - Environmental Project Management/ Life Cycle Cost Analysis 3 lecture hours 0 lab hours 3 credits Course Description This course presents techniques for assessing the merit of various technical solutions to environmental problems based on life cycle costs and considerations of sustainability. Included in any life cycle cost analysis are estimates of both long-and short-term liability costs that represent a large proportion of the overall exposure a company or client faces when implementing a program to manage environmental wastes. This course also addresses product life cycle and sustainability from a corporate perspective, and covers techniques that businesses can use to evaluate the competency of environmental consultants. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Jay Karls
	CV 760 - Environmental Law 3 lecture hours 0 lab hours 3 credits Course Description This course presents case law and regulations relating to all areas of environmental compliance needed by the practicing environmental engineer. Specific topics include common law liability issues; insurance; the rule-making process; the federal National Environmental Policy Act (NEPA); surface and groundwater regulations, including the Clean Water Act (CWA) and the Oil Pollution Act; regulations relating to solid waste and recycling, and to hazardous wastes, including the Resource Conservation and Recovery Act (RCRA); laws relating to brownfields redevelopment; Sara Title III and community right-to-know laws; OSHA regulations; the Toxic Substances Control Act; Department of Transportation (DOT) regulations relating to shipments of wastes; the Clean Air Act (CAA); and laws relating to new source construction and major source operation permits. (prereq: graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Donald Gallo
	CV 800 - 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 the CVE 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. The course will culminate in a written capstone project proposal that is required prior to commencing CV 890 . (prereq: graduate standing, consent of program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Develop a research question the answers to which will form the basis of the student’s capstone design project • Locate relevant and credible sources of information that can be used to answer the research question using the MSOE library’s online databases and print/electronic resources • Reference the relevant sources of information - including books, journal articles, governmental documents, and online publications using the MSOE Graduate Student Style Guide • Read 6-12 of the relevant and credible sources of information found • Write a literature review on a topic related to the student’s research question • Write the capstone design project proposal Prerequisites by Topic • None appended Course Topics • No course topics appended. Laboratory Topics • No laboratory topics appended. Coordinator Francis Mahuta
	CV 890 - Capstone Design Project I 3 lecture hours 0 lab hours 3 credits Course Description This is the first quarter of a capstone design course in which the student selects an environmental problem requiring resolution and proposes a comprehensive solution. The solution proposed must meet all technical standards and regulatory guidelines. Requirements of the first quarter of the course include the following: (1) complete the literature review begun in CV-800; (2) develop primary and alternative solution strategies with consideration given to the relative risks and short and long-term liabilities associated with each; and (3) prepare a work schedule detailing tasks to be performed during the detailed design and evaluation phase of the project in the second quarter of the course. The course will culminate with an oral presentation by the student providing an overview of the project before a faculty review committee. (prereq: CV 800 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended. Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	CV 892 - Capstone Design Project II 3 lecture hours 0 lab hours 3 credits Course Description This is the second quarter of the capstone design course and is a follow-on to CV-890. Requirements of the second quarter of the course include the following: (1) performance of the detailed technical design for the project;(2) preparation of a final written report detailing the project. The report shall include as a minimum: (i) background on the project and a description of the environmental problem being solved; (ii) a literature review of previously encountered problems of a similar nature and of any relevant technologies; (iii) a description of the solution methodology chosen for the project, including a discussion of any alternative strategies that were considered during the design phase; (iv) a presentation of the final design including details of the economics of the proposed design, as well as technical specifications and completed regulatory paperwork); and (4) an oral presentation of the project before a faculty review committee. (prereq: CV 890 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
Electrical Engineering
	EE 521 - 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 introduced and 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. An individual project is required. (prereq: EE-4021 or 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. 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) Laboratory Topics • No associated laboratory Coordinator Edward Chandler
	EE 523 - Applications of Digital Signal Processing 3 lecture hours 0 lab hours 3 credits Course Description This course builds upon the EE-3220 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 audio signals in realtime, effectively demonstrating the power of the techniques. An individual project is required. (prereq: EE-4021 or equivalent, consent of instructor) 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. • Understand the implementation tradeoffs of DSP algorithms including FIR and IIR digital filters, adaptive filters, least mean square (LMS) algorithm, multirate filters, interpolation and decimation, discrete and fast Fourier transforms, modulators and demodulators, phase locked loop. • Utilize an evaluation module for a DSP chip. • Write and test in the laboratory programs in the C progamming language of a DSP chip to implement the algorithms described above. 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 Cory Prust
	EE 525 - 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) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Analyse 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 Jovan Jevtic
	EE 526 - 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-3202/3212) 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) 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 (EE-3202 and EE-3212). • Transmission line theory (EE-3212). • Scattering parameters (EE-3212). • Basic Plane Wave and Antenna concepts (EE3212). 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 Robert Strangeway
	EE 529 - Microwave Engineering 2 lecture hours 2 lab hours 3 credits Course Description This course emphasizes microwave transmission lines, especially microstrip, coax and rectangular waveguides. 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. Fundamental and modern high-frequency measurement techniques and components are covered in the laboratory. (prereq: EE-3212) 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 • 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.] Course Topics • Electromagnetic fields (EE-3202 and EE-3212). • Transmission line theory and Smith charts (EE-3212). • Scattering parameters (EE-3212). • Plane waves (EE-3212). 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 Robert Strangeway
	EE 544 - Power Electronics 3 lecture hours 0 lab hours 3 credits Course Description In this course students are given background in device selection and power conditioning circuits that have application at high power levels. Topics covered emphasize the use of various active devices in inverters, converters, motor drives and power conditioning circuits. An individual project is required. (prereq: EE-2070, EE-3111, and consent of instructor) 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 regulator 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 • Introduction to Power Electronics. (1 class) • Diode Circuits and rectifiers. (4 classes) • Characteristics of Power Semiconductor devices. (4 classes) • Phase-controlled converters. (4 classes) • AC voltage controllers. (3 classes) • DC choppers and switchmode regulators. (5 classes) • Pulse-width modulated Inverter circuits. (3 classes) • Pulse-width modulation and closed loop dc motor control. (1 class) • Protection of devices and circuits. (2 classes) • Introduction to DC and AC Drives. (1 class) Laboratory Topics • Line-controlled SCR experiment should be done under instructor supervision in S341 • Boost Converter and Snubber Circuit individual project Coordinator Jovan Jevtic
	EE 547 - Power System Analysis I 3 lecture hours 0 lab hours 3 credits Course Description This course provides the graduate student with 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 and approval of course instructor) 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 diagram. (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) Laboratory Topics • No associated laboratory Coordinator Glenn Wrate
	EE 549 - Power System Analysis II 3 lecture hours 0 lab hours 3 credits Course Description This course is a continuation of EE-547, and provides graduate 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: undergraduate controls system course, undergraduate electric machinery course) 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 fault currents 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) Laboratory Topics • No associated laboratory Coordinator Glenn Wrate
	EE 581 - Fuzzy Set and Applications 3 lecture hours 0 lab hours 3 credits Course Description This course introduces students to the basic concepts of modeling uncertainty in systems through the use of fuzzy sets. The underlying concepts of fuzzy sets are introduced and their role in such applications as semantic interpreters, control systems and reasoning systems is presented. Students gain firsthand experience of fuzzy sets through a class project. (prereq: Senior standing in CE, EE, or SE) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand how fuzzy sets model ambiguity. • Manipulate fuzzy membership functions for simple operations. • Be familiar with the nature and use of fuzzy relations. • Perform linguistic analysis using fuzzy sets. • Develop and simulate simple fuzzy controllers. • Familiar with a wide variety of areas in which fuzzy sets may be applied. • Perform a class project. Prerequisites by Topic • Boolean algebra. • Basic control theory. • High-level language programming. Course Topics • Review of set theory. (3 classes) • Basic fuzzy set definitions and operators. (3 classes) • Extensions of crisp operators to fuzzy sets. (3 classes) • Fuzzy relations and fuzzy reasoning. (3 classes) • Control theory and the use of fuzzy sets. (5 classes) • Other fuzzy set applications from the current literature. (7 classes) • Class project (3 classes) • Reviews and examinations. (2 classes) Laboratory Topics • No associated laboratory Coordinator Hue Tran
	EE 584 - Neural Networks 3 lecture hours 0 lab hours 3 credits Course Description This course introduces students to the basic concepts of modeling and simulating adaptive and learning 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. Students gain firsthand experience of neural networks through computer assignments and a short research project. (prereq: CS-2510 or equivalent, MA-343 or MA-383) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Describe the origins of neural networks. • Describe how neural networks store information. • Describe the basic configurations of neural networks. • Describe and implement various learning algorithms for neural networks. • Develop and simulate simple neural networks. • Discuss engineering problems to which neural networks may be a suitable solution. • Use commercially available neural network development tools. • Perform basic literature searches and prepare short presentations. Prerequisites by Topic • High-level language programming. • Basic numerical methods. • Advanced calculus (Taylor Series, gradients, etc.). Course Topics • Introduction to neural networks, problems, terminology, MATLAB toolbox (4 classes) • Data gathering and formatting (2 classes) • Linear perceptron, learning rules, training styles, convergence of weights (3 classes) • Multilayer networks, construction and transfer functions (3 classes) • Backpropagation, training algorithms and associated mathematics (4 classes) • Choosing relevant inputs and pruning (1 class) • Special topics (7 classes) • Project workshops (5 classes) • Student presentations (3 classes) Coordinator Sheila Ross
	EE 587 - Machine Vision 3 lecture hours 0 lab hours 3 credits Course Description This course introduces the student to machine vision technology and its applications. Topics include lighting equipments and techniques, image acquisition devices/systems and techniques, and image processing techniques. Interfacing machine vision systems to other engineering systems are also discussed. Laboratory experiments and a class project include introduction to various kinds of vision systems, image processing techniques, and applications. (prereq: Senior standing in EE or CE) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Describe and apply the fundamental concepts of machine vision systems. • Describe and apply the principles underlying the application of machine vision systems. • Describe a variety of machine vision applications. • Describe the application of machine vision systems to industrial processes. • Write concise, professional technical reports Prerequisites by Topic • Knowledge of a programming language. • Knowledge of basics of physical science. • Understanding of manufacturing processes. Course Topics • Introduction to machine vision, image sensing fundamentals, relationship to other disciplines. (2 classes) • Optics and lighting: fundamentals, practical light sources, imaging by lensing. (2 classes) • Cameras and sensors: rectangular and linear arrays, CCD sensor architectures. (3 classes) • Image processors and algorithms: windowing (generalized areas of interest), Sobel operator histograms, SRI algorithms. (4 classes) • Discussion of term paper requirements, one-hour exam. (3 classes) • Inspection case studies - examples, pistons, disk brakes, dishes, light bulbs, very high speed bottle inspection in packaging lines. (4 classes) • Perspective projective and pinhole camera models, world coordinates and transformations. (2 classes) Coordinator Hue Tran
	EE 588 - Introduction to Artificial Intelligence and Expert Systems 3 lecture hours 0 lab hours 3 credits Course Description The objective of this course is to provide the student with an overview of topics in the field of artificial intelligence (AI). The course also provides the student with a working knowledge of designing an expert system and applying expert system technology in designing and analyzing engineering systems. The first part of the course covers historical background, knowledge acquisition and knowledge representation including propositional calculus, predicate calculus, semantic networks, frame systems and production rules. Various search techniques will be discussed. Fuzzy logic systems, neural network systems and computer vision systems will be briefly discussed in the second part of the course. Languages for AI problem solving such as Prolog and/or LISP will be introduced. The third part of this course will be devoted to the design of expert systems. Applications of expert systems in engineering system design and analysis will be stressed throughout. Case studies will be discussed. Class project is required. Students are encouraged to design expert systems for his/her own engineering applications, and an expert shell will be used to implement the design. (prereq: Senior standing in CE, EE, or SE) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Represent knowledge using propositional calculus and predicate calculus. • Use inference rules to produce predicate calculus expression. • Solve problems using search techniques: depth-first, breadth-first, forward chaining, backward chaining, best-first, branch-and-bound, and-or-graph, and heuristic search. • Analyze and design a fuzzy logic system using fuzzy logic tool box. • Analyze and design a neural network system using neural network toolbox. • Analyze and design a rule-based expert system. • Design a machine vision system application Prerequisites by Topic • Working knowledge of a high level computer language. • Digital logic. • Fundamental technical courses in the student’s major field. Course Topics • Introduction (1 class) • AI: History and Applications (1 class) • Knowledge Representation (5 classes) • Methods of Inference (1 class) • Search Techniques (3 classes) • Fuzzy Logic Systems (3 classes) • Neural Network (3 classes) • Pattern Recognition and Computer Vision (3 classes) • Expert Systems (6 classes) • Languages For AI Problem Solving (1 class) • Project presentation (1 class) • Review and Exams (5 classes) Coordinator Hue Tran
	EE 593 - Advanced Microprocessors 2 lecture hours 2 lab hours 3 credits Course Description This course provides students an understanding of the architecture and programming techniques for advanced microprocessors/controllers. Topics discussed include organization, data format, instruction set, addressing modes, and timing diagram. The course also introduces students to interfacing memory and I/O devices. Architecture and organization of Intel 80x86 microprocessors family and Motorola/Analog Devices DSP microprocessors will be discussed. (prereq: EE-2902, EE-2920) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Describe the relative advantages and disadvantages of the 16-bit microprocessors versus 8-bit microprocessors. • Describe the architecture and operation of the 8086 microprocessor family. • Write and execute programs for a 16-bit microprocessor to work with multiple precision data in signed binary, unsigned binary, binary coded decimal or ASCII. • Design interfacing for memory devices to the 8086 including dynamic RAM. • Utilize macros and subroutines to develop modular programs. • Understand interrupt routines. • Design a software system using engineering principles, software engineering and the assembly language • Write concise engineering reports with an engineering analysis, verification and condlusion sequence Prerequisites by Topic • Combinational and sequential logic design. • Introductory 8-bit microprocessor course. Course Topics • Introduction to 16-bit microprocessors. (1 class) • Intel 8086 family architecture, data formats, instruction set and addressing modes. (5 classes) • Introduction to Borland Assembler, Linker, and Debugger. (2 classes) • Data movement instructions. (2 classes) • Arithmetic and logic instructions. (4 classes) • Program control instructions. (2 classes) • Macros and subroutines, including PC-BDOS and PC BIOS routines. (2 classes) • Memory interfacing including timing requirements and dynamic RAM controllers. (6 classes) Laboratory Topics • None appended Coordinator Joerg Mossbrucker
	EE 799 - MSE Independent Study 1 lecture hours 0 lab hours 3 credits Course Description This graduate course allows for study in advanced or emerging topics in electrical engineering that are not present in the curriculum. Topics of interest to students that will help with their overall program of study will be explored with the help of a faculty advisor. (prereq: Graduate standing, consent of the program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • an ability to apply advanced electrical engineering principles to complex problems. Prerequisites by Topic • Varies Course Topics • To be determined by faculty advisor Coordinator Richard Kelnhofer
	EE 813 - Advanced Electronic Systems 3 lecture hours 0 lab hours 3 credits Course Description This course covers techniques associated with the design and modeling of electronic systems. Nonlinear effects in bipolar and field effect devices are introduced. Nonideal operational amplifiers are analyzed and modeled. Noise and distortion analyses are discussed for various types of electronic circuits. Electronic circuits employing nonlinearities (e.g. modulators, detectors, phase-locked loops) are analyzed. Industry-recognized programs such as SPICE are used throughout the course. (prereq: Graduate standing, courses in circuit analysis and electronics) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended. Prerequisites by Topic • None appended Course Topics • No course topics appended. Laboratory Topics • Design and Simulation of Inverting, Non Inverting and Summing Amplifier • Design and Simulation of differentiator, inverting and non inverting integrator • Design and Simulation of instrumentation amplifier using 2 and 3 OP AMP • Design and Simulation of higher (four or more) order low pass filter using Sallen Key topology • Design and Simulation of notch filter and a low frequency tuned amplifier using two port network and OP AMP • Design and Simulation of a Multi-vibrator and a Sine Wave Oscillator \| Coordinator Kishore Acharya
	EE 814 - VLSI Circuit Design 3 lecture hours 0 lab hours 3 credits Course Description This course presents the structure and properties of MOS transistors, and VLSI circuit design techniques for both digital and analog circuits. Digital circuits designed include the use of logic gates, tri-state devices and multiplexers. Analog circuit designs include amplifier stages and the consideration of noise. The course includes the use of computer-based circuit analysis tools for the simulation of circuit behavior. (prereq: Graduate standing, courses in circuit analysis and electronics) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended. Prerequisites by Topic • None appended Course Topics • No course topics appended. Laboratory Topics • None appended Coordinator Kishore Acharya
	EE 871 - Modern Control Systems 3 lecture hours 0 lab hours 3 credits Course Description The purpose of this course is to introduce students to principles and practice of modern control engineering. Z-transforms are introduced and utilized in conjunction with the analysis of discrete-time control systems. State-space analysis for continuous-time systems is covered in detail. Techniques on nonlinear systems analysis are developed and applied utilizing computer methods. (prereq: Graduate standing, Laplace transforms and a control systems course) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended. Prerequisites by Topic • None appended Course Topics • No course topics appended. Laboratory Topics • None appended Coordinator Kishore Acharya
	EE 5050 - Low-Noise Analog System Design 3 lecture hours 0 lab hours 3 credits Course Description In this course students are given background in noise mechanisms and models as applicable to analog electronics. Topics covered include origin of noise, resistor, BJT, and FET noise models, amplifier noise, design of low-noise amplifiers and power supplies, simulation of noise in SPICE, and noise measurement systems. An individual project is required. (prereq: EE-3101, consent of instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Demonstrate an understanding of noise mechanisms and models as applicable to analog electronic circuits • Develop the skills necessary to use a computer to analyze and design low-noise circuits • Analyze noise performance of resistor circuits • Analyze noise performance of BJT and FET circuits • Analyze noise performance of amplifiers and power supplies • Design low-noise amplifiers and power supplies Prerequisites by Topic • BJT DC and AC analysis, FET DC and AC analysis, SPICE simulation of analog electronic circuits, (EE-3101 prerequisite) Course Topics • Introduction, noise mechanisms, origin of noise (3 classes) • Resistor noise model (2 classes) • Basic circuit noise analysis (4 classes) • Noise simulation using SPICE (3 classes) • BJT noise models and applications (3 classes) • FET noise models and applications (3 classes) • Amplifier noise models and applications (3 classes) • Low-noise amplifier design (4 classes) • Low-noise power supply design (3 classes) • Noise measurements (2 classes) Coordinator Joerg Mossbrucker
	EE 5060 - Introduction to Nonlinear Dynamics and Chaos 2 lecture hours 2 lab hours 3 credits Course Description This course introduces the student to the basic concepts of nonlinear dynamics and chaos via numerical simulations and electric circuits. The primary goal is to understand the bifurcations and steady-state behavior of nonlinear dynamical systems. The secondary goal is to study the phenomenon of chaos using computer simulation and physical circuits. In addition, due to the graduate nature of the course, students will be asked to work on a more challenging project, as opposed to the undergraduate course offering. (prereq: MA-235, EE-2050 or EE-201) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Describe the fundamental differences between linear and nonlinear dynamical Prerequisites by Topic • Understanding of linear constant coefficient ODEs • Basic circuit analysis Course Topics • Fixed Points and Stability (1 class) • Circuit elements and devices (3 classes) • Bifurcations in one dimensions (3 classes) • Midterm (1 class) • Introduction to chaotic systems (1 class) • Analyzing chaotic systems - Routes to Chaos (2 classes) • The phase plane - linear systems, limit cycles (two dimensional systems) Laboratory Topics • Laboratory experiment details and requirements are described in [1]. • Students are expected to prepare for the lab by doing all required pre-lab activities Coordinator Bharathwaj Muthuswamy
	EE 5112 - Advanced Analog Electronics 2 lecture hours 2 lab hours 3 credits Course Description This course continues investigation of single and cascaded BJT and MOSFET amplifiers. In addition, midband gains, impedances, and frequency responses of multi-transistor amplifiers are studied. The effects of classic feedback configurations on amplifier characteristics are included. A significant portion of the course grade is based comprehensive design projects. Students are expected to use previously learned design tools such as PSPICE to explore alternatives and verify their designs. The designs are constructed and tested in the laboratory, and documented in formal design reports. An individual project is required. (prereq: EE-3101, EE-3111, consent of instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Design differential amplifiers with active loads • Design output stages of power amplifiers • Understand different configurations of feedback and their applicability to electronic circuits • Understand frequency response of single-stage and multi-stage amplifiers • Understand frequency compensation of feedback amplifiers and design the required feedback network • Understand non-ideal effects of operational amplifiers • Design oscillators and voltage regulators using operational amplifiers Prerequisites by Topic • None appended Course Topics • Design of the first and second stage of a three-stage amplifier (6 classes) • Design of the output stage of a three-stage amplifier (2 classes) • Feedback and stability and frequency compensation (4 classes) • Frequency response of transistor amplifiers (2 classes) • Non-ideal effects of Operational Amplifiers (2 classes) • Oscillators and voltage regulators (2 classes) • Exams (2 classes) Laboratory Topics • None appended Coordinator Joerg Mossbrucker
	EE 5210 - Electromagnetics and Transmission Lines 3 lecture hours 0 lab hours 3 credits Course Description This course introduces the concepts of electromagnetics and transmission lines and puts into practice their application. The course covers a wide diversity of topics including static electric and magnetic fields, the Maxwell Equation, time-varying electromagnetic fields, wave propagation, transmission lines, electromagnetic radiation, and principles of radiation from an antenna. This course will introduce students to vector analysis techniques, which are used to analyze electromagnetic fields. By learning to calculate electric fields and properties of sending signals, students will gain a better understanding of the fundamental principles of electrical engineering. Students will apply these principles in a range of practices including power generation, power transmission, and wired and wireless signal transmission. (prereq: Graduate standing, MA-235 or equivalent, PH-220 or equivalent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Describe the fundamental concepts of electromagnetic fields • Calculate static electric and magnetic fields due to stationary charge and current distributions • Describe and utilize vector notation in static, dynamic, and time-harmonic formâ€”especially in Maxwell’s Equations • Describe and calculate fields in materials, electric and magnetic energies, capacitances and inductances for conducting systems, etc. Prerequisites by Topic • Multivariable calculus and differential equations • Vector algebra and elementary vector calculus • Basic electricity and magnetism • Computer programming Course Topics • Review complex vector algebra, calculus and coordinate systems (4 classes) • Electrostatic fields (4 classes) • Magnetostatic fields (classes) • Capacitors and Inductors (2 classes) • Maxwell’s Equations (3 classes) • Plain wave Solution (4 classes) • Transmission Lines (3 classes) • Radiation theory (3 classes) Laboratory Topics • None appended Coordinator Kishore Acharya
	EE 5250 - Advanced Signal Processing 3 lecture hours 0 lab hours 3 credits Course Description This course introduces students to advanced topics in signal processing. The course will focus on two main areas of signal processing: statistical signal processing and digital image processing. Adaptive filtering will be the primary focus of the statistical signal processing segment with applications such as gradient descent, LMS, and RLS algorithms. Techniques for image enhancement, restoration, and compression will be covered as applications of digital image processing. MATLAB will be used extensively as a simulation tool. (prereq: (EE-3220 and (MA-262 or MA-3620)) or Consent of Instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Determine the optimal filter that produces the minimum mean squared error at its output. • Apply adaptive filtering algorithms, such as gradient search, LMS, or RLS, to various signal and noise filtering situations. • Determine the maximum likelihood estimator for a set of randomly distributed data. • Apply and compare two-dimensional filters to images in the spatial- and frequency-domains. • Use nearest-neighbor or bilinear interpolation to determine the values of pixels in a resized or transformed image. • Identify types (such as smoothing or sharpening) of image filters. • Complete a project on a topic related to statistical and/or image processing not covered in class. Prerequisites by Topic • Fourier series/transform methods • Sampling theorem • Random processes and expectations • Linear algebra • Some previous use of MATLAB is desired Course Topics • Prerequisite review: random variables and statistics, DSP (3 classes) • Statistical image processing (12 classes) - topics may include: autocorrelation functions, Wiener filter, gradient search/steepest descent, LMS algorithm, RLS algorithm, maximum likelihood estimation • Digital image processing (12 classes) - topics may include: 2D signals and systems, sampling, filtering, edge detection, digital image enhancement: spatial and frequency domains, digital image restoration, digital image compression • Final project (3 classes) Coordinator Jay Wierer
	EE 5480 - Electrical Power Systems Quality 3 lecture hours 0 lab hours 3 credits Course Description This is an advanced course in the electric power system transients and other phenomena that cause problems in high and medium voltage systems. Topics covered include voltage sags and interruptions, transient overvoltages, harmonic distortion, and distributed generation. (prereq: EE-3401) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • understand the basics of electric system power quality, including sags, interruptions, and transient overvoltages. • understand the principles of power system harmonics and filtering. • be able to use the principles of voltage regulation to develop mitigation strategies for long-duration voltage variations. • be able to determine what typical problems could occur with the installation of distributed generation. Prerequisites by Topic • Linear circuit analysis • Three-phase circuits • Basic knowledge of electrical machines and transformers • Computer programming Course Topics • General classes of power quality problems (1 class) • Power quality terms and requirements (1 class) • Sags and interruptions (4 classes) • Transient overvoltages (5 classes) • Harmonic distortion (5 classes) • Principles for controlling harmonics (4 classes) • Long-duration voltage variations (4 classes) • Distributed Generation (DG) Technologies (1 class) • Power quality issues with DG (2 classes) • Interconnection standards (1 class) Laboratory Topics • None appended Coordinator Glenn Wrate
	EE 5720 - Control Systems II 2 lecture hours 2 lab hours 3 credits Course Description This course extends the classical continuous time control techniques from EE-3720 to the areas of discrete-time systems and state-space techniques. An independent hardware project is required that demonstrates the principles of control system analysis, modeling, and design. Control systems are analyzed, modeled, and designed using frequency response, z-transform and state-space techniques. An individual project is required. (prereq: EE-3720, EE-3220, Consent of Instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Determine the open-loop and closed-loop transfer functions of a system containing a sampler and zero-order-hold • Determine the stability of sampled data (discrete-time, DT) systems • Design DT system compensators • Analyze system controllability and observability • Design state feedback estimator-regulators • Build a control system from the component level that includes actuation, transducer feedback, and closed-loop compensation • Experimentally measure the frequency response of their control system • Estimate a transfer function representation from their experimental frequency response data • Implement a closed-loop compensator on their control system Prerequisites by Topic • Simplify control system block diagrams • Obtain continuous time system time-domain performance specifications • Determine steady-state error of continuous time systems for typical inputs • Design continuous time, closed-loop, phase-type and PID control systems by root-locus techniques • Analyze continuous time systems using frequency response methods: Bode diagrams • Realize phase-type and PID controllers utilizing operational amplifiers and resistor-capacitor networks Course Topics • Prerequisite review (1 class) • System frequency response modeling techniques (1 class) • Sampled-data systems and the z-transform (10 classes) • Design state feedback system (5 classes) • Homework review sessions (2 classes) • Exam (1 lab period) • Review state space representation (1 class) Laboratory Topics • Design and construct electromechanical actuation system and mechanical structure • Design and construct transducer feedback instrumentation network • Calibrate instrumentation network • Experimentally measure frequency response of open-loop system • Analyze frequency response data to estimate open-loop system transfer function • Design and simulate closed-loop compensator • Implement closed-loop compensator • Experimentally measure closed-loop frequency response, transient response, and steady state error Coordinator Richard Kelnhofer
	EE 5980 - Topics in Electrical Engineering 3 lecture hours 0 lab hours 3 credits Course Description This course allows for study of emerging topics in electrical engineering that are not present in the curriculum. Topics of mutual interest to faculty and students will be explored. (prereq: Consent of instructor) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended. Prerequisites by Topic • Varies Course Topics • No course topics appended. Coordinator Richard Kelnhofer
Environmental Engineering Elective courses are offered once every other year: O-Odd Year, E-Even Year with respect to start of academic year
	EV 611 - Applications of Chemistry in Environmental Engineering 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) electroneutrality and its application to water analysis; (2) rates of chemical and biochemical reactions; (3) acid-base reactions and the carbonate system; (4) complexation reactions and chelation; (5) precipitation and dissolution reactions; (6) oxidation-reduction reactions; (7) a survey of organic chemistry and how organic compounds react and behave in the environment; (8) adsorption reactions; and (9) a survey of environmental laboratory procedures and analytical techniques in environmental chemistry. Students will also participate in several labs that will illustrate the course topics, including alkalinity, BOD/COD, lime/soda-ash softening, and carbon adsorption. Offered Fall term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the principles underlying the chemical transformations that take place in groundwater, surface water, and in water and wastewater treatment processes • Apply the principles of water chemistry to the design of selected water/wastewater and soil/groundwater remediation processes • Identify the various classes of organic compounds and how organic compounds behave and react in the environment • Understand the field and laboratory procedures involved in the sampling and analysis of water and soil samples Prerequisites by Topic • One year of general chemistry required Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 612 - Biology for Environmental Engineers 3 lecture hours 0 lab hours 3 credits Course Description This course covers the classification and naming of living things, the structure and function of biologically important macromolecules and cells, metabolic pathways and protein synthesis, basic genetic principles and ecological principles. Particular attention is given to practical environmental issues. Each student participates in a small group project focusing on environmentally important organisms or phenomena. Offered Fall term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Categorize living things using basic biological systematics • Be familiar with the basic biochemical macromolecules essential to life (carbohydrates, fats, proteins, etc.) and their chemistry • Be familiar with the structure and function of procaryotic and eucaryotic cells • Understand catabolic and anabolic metabolism in cells, including the fixing of carbon, and energy production • Understand protein synthesis and its control at the gene level • Understand the structure and function of ecosystems (ecological principles) Prerequisites by Topic • None appended Course Topics • Biological systematics • Review of basic principles of chemistry and biochemistry • Biological macromolecules (carbohydrates, proteins, etc.) • Structure and function of cell membranes • Procaryotic and eucaryotic cell structure and function • Cell reproduction • Quiz I • Glycolysis • Krebs cycle • Electron transport chain • Photosynthesis • Plant structure and nutrition • Midterm exam • Structure and function of DNA and RNA • Protein synthesis • Gene control in procaryotes and eucaryotes • DNA technology • Introduction to ecology • Biome descriptions and characteristics • Distribution (spatial and temporal) of populations • Population ecology (predation, competition, etc.) • Quiz II • Energy flow in ecosystems • Presentation of small group projects • Ecology of fresh water lakes • Case study: Lake Michigan Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 614 - Microbiology for Environmental Engineers 3 lecture hours 0 lab hours 3 credits Course Description This course covers the basic morphology, biology and distribution of the major microbial groups: viruses, bacteria, fungi, protozoa and algae. Distribution of pathogenic microorganisms (and their surrogates) in the environment, and the methods used for their quantification and control are examined. Microbial growth and metabolism, and the resultant molecular transformations, are studied. The activities of microbes in specific habitats (i.e., biofilms, rhizobia, aquifers) are explored. Particular attention is given to microbes used to help solve environmental problems and to those that create environmental problems. Offered Winter term. (prereq: EV 612 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the significance of the sequencing of small subunit rRNA in the taxonomic placement of organisms • Be familiar with the structure and function of viruses, bacteria, fungi, protozoa, and algae • Understand metabolic processes utilized by microorganisms and microbial growth • Be familiar with the roles of microorganisms in biogeochemical cycles • Be familiar with microbial pathogens in the environment, direct and indirect methods of their detection, and methods of their control • Understand the formation, function, and importance of biofilms in the environment • Understand the roles of microbes in various types of wastewater treatment • Understand the roles of microbes in the degradation of organic compounds Prerequisites by Topic • Biology for environmental engineers or one year of college biology Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 710 - Environmental 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. Offered Fall term. (prereq: underGraduate course in introductory probability and statistics Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Compare two or more treatments or data sets for differences using the t-test, non-parametric tests, or analysis of variance (ANOVA) • Assess the effects of one or more variables on the response of a system using full and fractional factorial designs • Design testing programs to control the probability of Type I and Type II errors • Build mathematical models of systems using linear and non-linear regression analysis, and time series analysis • Create artificial data sets suitable for modeling purposes using Monte Carlo simulation • Utilize the JMP statistical package with facility to perform statistical analysis Prerequisites by Topic • None appended Course Topics • Review of statistics and definitions • Data visualization, estimating percentiles • Software introduction and use • Assessing differences between data using parametric and non-parametric tests • Assessing differences between data using analysis of variance (ANOVA) • Discuss final project. • Experimental design: Design testing programs to control the probability of Type I and Type II errors • Building models using linear regression, parsimony • Transformations, problems with linearization • Building models using non-linear regression, joint confidence region • Midterm exam • Experimental Design: • Measuring the effects of variables on an outcome using full and fractional factorial designs. • Smoothing, Time series analysis, • Auto and partial auto-correlations • Identifying distributions, Monte Carlo simulation • Review for Final Exam • Final Exam Laboratory Topics • No laboratory topics appended. Coordinator William Gonwa
	EV 720 - Municipal Wastewater Treatment 3 lecture hours 0 lab hours 3 credits Course Description This course familiarizes students with planning, design and operation of design criteria and the design process for municipal wastewater treatment plants. The course covers design of physical, biological and chemical wastewater treatment processes and concepts in operational control. Students are required to prepare a design basis report and presentation for a particular wastewater treatment process, including preparation of a conceptual design and cost estimate. Offered Spring-E term. (prereq: EV 611 or department consent) (coreq: EV 614 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand sources, quantities and characteristics of wastewater pollutants and their impact to the environment • Understand state and federal clean water regulations and emerging regulatory trends • Specify typical design criteria and predict treatment performance for major physical, chemical and biological unit operations and processes used in municipal wastewater treatment • Develop process flow diagrams to treat a wastewater given the wastewater characteristics and effluent limitations • Perform mass and energy balances around treatment units • Assess the performance of selected unit operations and processes using actual plant operating data • Be familiar with sustainable solutions in water and biosolids reuse • Estimate capital and O Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 722 - Hydrogeology and Groundwater Pollution 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) presentation of the hydrologic cycle–rainfall, water losses, and groundwater runoff (2) the unit hydrograph concept;(3) governing equations of groundwater flow through porous media; (4) interaction of surface and groundwater flows; (5) hydraulics of wells; (6) groundwater contaminant transport; (7) numerical methods for parameter estimation applications to groundwater models; (8) regulations governing groundwater contamination; (9) ex-situ and in-situ contaminated groundwater treatment/remedial systems Offered Winter-E term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the occurrence and movement of groundwater • Understand the distribution and migration of environmental contaminants within groundwater • Understand regulatory requirements governing groundwater contamination • Understand the applications of insitu and exsitu groundwater treatment systems Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 724 - Industrial Water Treatment and Stormwater Management 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) review of treatment standards and regulations as mandated by the Clean Water Act, Resources Conservation and Recovery Act (RCRA) and various industrial standards; (2) presentation of the unit treatment processes for industrial water and wastewater pretreatment, including pH adjustment, coagulation and flocculation, activated carbon absorption, microfiltration, ultrafiltration, reverse osmosis, ion exchange, greensand filters/iron removal, evaporation, disinfection and oxidation with UV/ozone, settling tanks, and oil and hydrocarbon removal; and (3) a survey of the current stormwater permitting. Students perform case studies of water treatment systems from several industries as part of a required research project. Offered Winter-E term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended. Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 726 - Water Resources Management 3 lecture hours 0 lab hours 3 credits Course Description Water resources management is a growing area in environmental engineering. Communities need to deal with both water quantity and quality issues on a regional and watershed basis. The purpose of this course is to give an introduction to water resources management including such topics as hydrology, and hydrological modeling, surface water quality, stormwater management and treatment, and wetlands classification and migration. Offered Spring-O term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the factors that affect stormwater runoff, nonpoint source pollution, and stream flow at various scales (project site, sub-basin, and watershed • Be able to compute runoff rates (pre- and post-development) using a variety of methods • Understand the local, regional, and state regulations regarding stormwater runoff and erosion control and be able to apply for the necessary permits to allow development • Have the ability to design stormwater discharge and water quality control facilities including detention ponds, infiltration basins, swales, culverts, and manufactured stormwater treatment devices • Know how to design a stormwater management and erosion control plan for a development • Understand the environmental and functional benefits of wetlands and environmental corridors, how they are delineated and afforded special protection under the law • Understand the regulations affecting development in floodplains and floodways and how to calculate impacts • Know how to minimize and mitigate the affects developments in and adjacent to wetlands and be able to develop a water quality certification application and wetland mitigation plan Prerequisites by Topic • At least one introductory course in fluid mechanics, hydrology, hydraulics, or water resources engineering, or consent of instructor Course Topics • Introduction to hydrology including the water cycle, basics of stream flow, erosion processes, how land use changes affect hydrology, and hydrologic modeling • Protection of surface water quality including standard water quality criteria, point source discharge permitting, non-point source control, watershed-based planning, waterway regulatory permitting, and shoreland zoning • Site stormwater management including construction site and permanent erosion control and stormwater management planning, design, and permitting • Wetlands and environmental corridors including wetland classification and functionality, water quality certifications for construction projects, and mitigation • Floodplain and floodway issues including zoning and development restrictions and design requirements • Students will apply course topics to an actual development from concept through final design Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 728 - Design of Hydraulic Systems 3 lecture hours 0 lab hours 3 credits Course Description Hydraulic engineering is a specialized discipline of civil engineering principally concerned with the design of water control and conveyance systems. In this course, the student will apply the principles of fluid mechanics in closed conduits and open channels to the modeling and design of water distribution and wastewater collection systems, pumping stations, and flow measurement and control devices. Offered Winter-O term. (prereq: AE-213 or ME-317) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 730 - Solid and Hazardous Waste Minimization 3 lecture hours 0 lab hours 3 credits Course Description The U.S. Congress passed the pollution prevention act of 1990, which states that pollution should be prevented or reduced at the source whenever feasible. This course is an introduction to both hazardous (RCRA Subtitle C) and solid (RCRA Subtitle D) waste management and strategies for source reduction of these wastes. Students are expected to complete a project that involves defining a baseline situation (process maps, generator status, applicable laws and regulations and current costs), researching alternatives, and proposing a strategy that effectively reduces wastes generated, reduces life-cycle environmental impacts and is cost effective. Offered Winter term. (prereq: Graduate standing or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Access information of importance to hazardous and solid waste managers from engineering journals, government and Internet sources • Identify hazardous wastes as defined by RCRA Subtitle C • Manage a waste as a hazardous waste • use process analysis tools, including process mapping • Understand pollution prevention criteria, strategies, programs, project guidelines • Perform a life-cycle environmental impact inventory • Evaluate life-cycle costs for a pollution prevention project • Be familiar with RCRA Subtitle D, the solid waste management hierarchy • Know some strategies for minimizing solid waste • Know elements of sustainability • Have opportunities to practice communicating clearly and concisely both in technical reports and presentations Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 732 - Solid Waste Engineering and Management 3 lecture hours 0 lab hours 3 credits Course Description Integrated solid waste management systems of the 21st century must address a number of interrelated issues, including source reduction, recycling and reuse, waste collection and transportation, and the disposal of wastes not otherwise recycled or reused. The issue of source reduction of both solid and hazardous wastes is addressed in EV 730 . In this course, the student will learn to design systems for the collection, transport, storage, and disposal of solid wastes with a focus on municipal solid waste (MSW). Specific topics to be addressed include methods of waste characterization, collection systems design, and the design of landfills and emerging thermal processing systems. Offered Spring-O term. (prereq: Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 740 - Air Pollution Control 3 lecture hours 0 lab hours 3 credits Course Description This course presents strategies for waste minimization and pollution prevention and introduces the student to the concepts of air pollution control design, and the regulatory and environmental concerns that drive the air pollution control industry. Students are led through the design process from basic theory through practical application and case studies. The sources of air pollution and the available control options are presented and discussed in detail. Offered Winter-E term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the basic concepts of air pollution control regulations, including the regulatory emphasis on pollution prevention/solvent substitution strategies • Develop air emission estimates for a variety of industrial and commercial sources of air pollution • Develop preliminary design of air pollution control systems based on key operating and performance parameters • Converse with regulatory personnel on matters of air pollution control including permitting, emission, estimates, compliance determination and compliance monitoring • Converse with equipment vendors on matters concerning equipment specification and selection • Understand basic concepts in air dispersion modeling as a tool for regulatory compliance and design Prerequisites by Topic • Basic Chemistry and Organic Chemistry • Introduction to Fluid Mechanics • Biology and Microbiology Course Topics • Air quality as a natural resource (0.25 class) • Regulatory air quality protection (0.5 class) • Air pollutant sources (0.5 class) • Atmospheric chemistry (0.5 class) • Air pollutant dispersion modeling (0.5 class) • Ozone transport (0.25 class) • Continuous emission monitoring and stack testing (0.5 class) • Emission estimating (0.5 class) • Sources and control of particulate emissions (0.5 class) • Sources and control of hazardous air pollutants (1 class) • Sources and control of volatile organic compound emissions (1 class) • Sources and control of gaseous emissions (2 classes) • Examination (1 class) • Design project (2 classes) Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 742 - Air Permitting 3 lecture hours 0 lab hours 3 credits Course Description The federal Clean Air Act of 1970 established national ambient-air quality standards (NAAQS) along with federal new source performance standards (NSPSs) and hazardous air pollutant emission standards (NESHAPs). In the Clean Air Act Amendments of 1990, federal permitting and enforcement of these standards was introduced in the Title V operating permit regulations. This course will introduce the student to the Title V permitting process. Specific topics addressed include reviewing Title V requirements, determining when a permit is required, describing the process for applying for permits, determining permit compliance, and understanding MACT, BACT, RACT, and LAER requirements. Offered Spring-E term. (prereq: Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 750 - Plant Safety/OSHA Issues 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) federal regulations governing worker occupational safety and health; (2) an overview of the Occupational Safety and Health Administration; (3) a brief survey of human anatomy, physiology and pathology of the lungs, skin, ears and eyes within the context of potential industrial pathogens, chemical irritants or physical hazards; (4) identification and evaluation of industrial hazards including solvents, particulates, dermatoses, industrial noise, radiation, temperature extremes, ergonomically incompatible equipment and biological hazards; (5) techniques for the control of hazards, including ventilation, protective equipment, noise reduction strategies, principles of ergonomic design and product substitutions; and (6) case studies in designing and implementing an industrial hygiene program for various types of industries, including a description of the necessary record keeping, paperwork and documentation required. Offered Winter-O term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 752 - Risk Assessment and Environmental Auditing 3 lecture hours 0 lab hours 3 credits Course Description Course topics include the following: (1) a review of the environmental risk assessment process; (2) a review of environmental auditing procedures, including an introduction to ISO 14,000 and its impact on the environmental auditing process; (3) an overview of federal requirements relating to environmental assessments and impact statements; 4) a project involving the conducting of an actual audit of a facility; and 5) a project involving the review ad assessment of the risk assessment process used in developing an existing regulation. Offered Spring-O term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Understand the basic concepts of risk assessment, including how risk assessment is used in the development of environmental and safety regulations • Understand the potential impacts of chemicals released to the environment • Understand the effects of exposure to pollutants on human, animal and plant health • Develop audit procedures to demonstrate regulatory compliance • Develop methods and procedures for ISO 14000 certification Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 754 - Soil Science and Remediation Technologies 3 lecture hours 0 lab hours 3 credits Course Description This course presents an overview of techniques to be used to clean up existing pollutants in soil, water or air in the vicinity of hazardous waste sites. Emphasis is on the remediation of pre-existing pollution rather than on pollution prevention strategies. Topics to be covered include the following: (1) surface water control strategies such as capping of surface impoundments, floating lagoon covers, grading, revegetation, diversion and collection; (2) groundwater contaminant clean-up and control strategies such as groundwater pumping, subsurface drains, subsurface barriers, and groundwater treatment procedures such as air and steam stripping, carbon absorption, biological treatment, ion exchange absorption, chemical treatments and reverse osmosis; (3) soil remediation procedures such as in-situ bioremediation, chemical remediation, soil flushing and physical treatment techniques; (4) procedures for the control of gas emissions and fugitive dust control from surface impoundments and landfills; (5) waste, soil and sediment disposal techniques; (6) monitoring strategies for remediated sites and leak detection strategies; and (7) remediation of leaking underground storage tanks (LUST). Offered Spring-E term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 756 - Environmental Project Program Management and Life Cycle Cost Analysis 3 lecture hours 0 lab hours 3 credits Course Description Today’s environmental manager is faced with numerous environmental issues, all of which must be managed simultaneously. For any one environmental problem within a business or manufacturing setting, there are a number of possible technical approaches to controlling or eliminating that problem. The environmental manager for that business must select the best technical option from among many. This course presents techniques for evaluating, on a life cycle cost basis, the merit of the various technical options. Included in any life cycle costing is discussion on estimating long-and short-term liability costs. These potential liability costs represent a large proportion of the overall exposure a company faces when implementing a program to manage environmental wastes. Since many companies rely on the advice of consultants to make environmental decisions, this course also presents techniques for evaluating the competency of various consultants and presents strategies for working with consultants. Offered Spring term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 760 - Environmental Law for Environmental Engineers 3 lecture hours 0 lab hours 3 credits Course Description This course presents case law and regulations relating to all areas of environmental compliance needed by the practicing environmental engineer. Specific topics include common law liability issues; insurance; the rule-making process; the Federal National Environmental Policy Act; surface and groundwater regulations, including the Clean Water Act (CWA) and the Oil Pollution Act; regulations relating to solid waste and recycling, and to hazardous wastes, including the Resource Conservation and Recovery Act (CRA); laws relating to brownfields redevelopment; Sara Title III and community right-to-know laws; OSHA regulations; the Toxic Substances Control Act; department of Transportation (DOT) regulations relating to shipments of wastes; the Clean Air Act (CAA); an laws relating to new source construction and major source operation permits. The emphasis throughout the course is on teaching the student processes by which the rules are made, and on where to research existing regulations and laws, so that the student can adapt to the constantly changing status. Offered Fall term. (prereq: Graduate standing in MSEV program or department consent) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 799 - MSEV Independent Study 0 lecture hours 0 lab hours 3 credits Course Description Independent study allows a student with a particular interest in a topic to undertake additional work outside of the classroom format. The student works under the supervision of a faculty member and undertakes studies that typically lead to a report. (The maximum number of credits of independent study applied to an MSEV degree is three. Credits may not be transferred from other institutions.) (prereq: Graduate standing in MSEV program consent of program director or department chair.) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Deborah Jackman
	EV 800 - Research and Writing in Environmental Engineering 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 the MSEV 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. the course will culminate in a written capstone project proposal that is required prior to commencing EV 890 . Offered Fall term. (prereq: Graduate standing in MSEV program written consent of the MSEV program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • Develop a research question the answers to which will form the basis of the student’s capstone design project • Locate relevant and credible sources of information that can be used to answer the research question using the MSOE library’s online databases and print/electronic resources • Reference the relevant sources of information-including books, journal articles, governmental documents, and online publications-using the MSOE Graduate Student Style Guide • Read 6-12 of the relevant and credible sources of information found • Write a literature review on a topic related to the student’s research question • Write the capstone design project proposal Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Gary Shimek
	EV 890 - Environmental Engineering Systems Design I 1 lecture hours 0 lab hours 3 credits Course Description This is the first quarter of a capstone design course in which the student selects an environmental problem requiring resolution and proposes a comprehensive solution. The solution proposed must meet all technical standards and regulatory guidelines. Facsimiles of any necessary regulatory paperwork must be completed just as if the project were to be actually implemented. Requirements of the first quarter of the course include the following: (1) identify the objectives of the project; (2) perform a literature review; (3) develop primary and alternative solution strategies with consideration given to the relative risks and short- and long-term liabilities associated with each; and (4) prepare a work schedule detailing tasks to be performed during the detailed design and evaluation phase of the project in the second quarter of the course. The course will culminate with an oral presentation by the student providing an overview of the project before a faculty review committee. Selection of an environmental problem based on the student’s current or previous industrial work experience is strongly encouraged. Offered Winter term. (prereq: completion of all EV courses except EV 892 written consent of the MSEV program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
	EV 892 - Environmental Engineering Systems Design II 1 lecture hours 0 lab hours 3 credits Course Description This is the second quarter of a capstone design course in which the student selects an environmental problem requiring resolution and proposes a comprehensive solution. The solution proposed must meet all technical standards and regulatory guidelines. Facsimiles of any necessary regulatory paperwork must be completed just as if the project were to be actually implemented. Requirements of the second quarter of the course include the following: (1) performance of the detailed technical design for all hardware components of the project; (2) preparation of all required software, I.e., completion of all required regulatory documents; (3) preparation of a final written report detailing the project. (The report shall include as a minimum: (i) background on the project and a description of the environmental problem being solved; (ii) a literature review of previously encountered problems of a similar nature and of any relevant technologies; (iii) a description of the solution methodology chosen for the project, including a discussion of any alternative strategies that were considered during the design phase; (iv) a presentation of the final design including details of the economics of the proposed design, as well as technical specifications and completed regulatory paperwork); and (4) an oral presentation providing an overview of the project before a faculty review committee. Offered Spring term. (prereq: EV 890 ) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • No laboratory topics appended Coordinator Francis Mahuta
Graduate Continuation
	GA 898 - Graduate Assistantship 0 lecture hours 15 lab hours 0 credits Course Description Students who are taking at least 6 graduate credits and working on a research project in a department or research center on campus may enroll in this course to fulfill the full-time status. The student directly reports to the project advisor on the details of the research work. (prereq: approval of the Graduate Program Director and Dean of Applied Research). Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator David Schmitz
	GC 899 - GRADUATE CONTINUATION 0 lecture hours 0 lab hours 0 credits Course Description Graduate students are required to be continuously registered until graduation after initiation of the master’s project, thesis or other capstone activity. Students who initiated the master’s project, thesis or other capstone activity and are not registered for three or more graduate credits in a quarter must register for GC-899 and pay the Continuation Fee associated with this course. Registration in the GC-899 will appear on the student’s transcript as a no credit course with no effect on the student’s GPA. Students in the Master of Science in Perfusion program are required to be continuously registered for four quarters per academic year after initiation of the master’s thesis. Students in other programs are not required to be registered for the summer program. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Coordinator David Schmitz
	GC 8991 - MSE Graduate Continuation 0 lecture hours 0 lab hours 0 credits Course Description This registration is required each quarter (except summers) that a graduate student is not registered for graduate credits, following that student’s initiation of a master’s project, thesis or other capstone activity. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Coordinator David Schmitz
	GC 8996 - MSST Project Continuation 0 lecture hours 0 lab hours 0 credits Course Description This registration is required each quarter (except summers) that a graduate student is not registered for graduate credits, following that student’s initiation of a master’s project, thesis or other capstone activity. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Coordinator David Schmitz
	GC 8997 - MSCS Thesis Continuation 0 lecture hours 0 lab hours 0 credits Course Description This registration is required each quarter (except summers) that a graduate student is not registered for graduate credits, following that student’s initiation of a master’s project, thesis or other capstone activity. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Ronald Gerrits
General Engineering
	GE 601 - System Dynamics 3 lecture hours 0 lab hours 3 credits Course Description This course presents the basic theory and practice of systems dynamics. It introduces the modeling of dynamic systems and response analysis of these systems, with an introduction to the analysis and design of control systems. A course project will involve analysis of a multi- degree-of-freedom system employing MATLABÂ® SimulinkÂ® software. (prereq: Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • Differential equations and Laplace Transform Course Topics • Introduction to System Dynamics • Mechanical Systems (single & multiple dof) Modeling and Response using MATLAB Simulink • Electrical Systems Modeling and Response • Liquid and Thermal Systems Modeling and Response • Review of Laplace Transform • Transfer Function Approach • State Space Approach • Frequency-Domain Approach • Coupled-Field Systems Modeling and Response • Feedback Control Systems Modeling and Design- An Introduction Laboratory Topics • None appended Coordinator Subha Kumpaty
	GE 611 - Numerical Methods 3 lecture hours 0 lab hours 3 credits Course Description This course introduces numerical methods for solving ordinary differential equations and partial differential equations with engineering applications. (prereq: Computer programming, Differential Equations and Laplace Transform, Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • Computer Programming • Differential equations and Laplace Transform Course Topics • Taylor series, Error propogation, Numerical Differentiation, Forward-Backward-Central difference formulations of First and Second derivatives, Richardson’s Extrpolation • Numerical Integration: Newton-Gregory forward formula for interpolation, Trapezoidal rule, Simpson’s rules, Boole’s rule, Romberg Integration • Root finding methods: Bisection, False position, Fixed-point iteration, Newton-Raphson, Secant, Modified Secant • Ordinary Differential Equations: Initial Value problems, Euler’s method, Heun’s method, Runge-Kutta methods- Third order and Fourth Order, Stiff equations: Implicit Euler’s method, Adam’s solvers: Explicit and Implicit methods, Milne’s predictor-corrector methods Laboratory Topics • None appended Coordinator Subha Kumpaty
	GE 703 - Simulation and Modeling 3 lecture hours 0 lab hours 3 credits Course Description The purpose of this course is to introduce students to the basic concepts of engineering systems and analysis and design using computer modeling and simulation. Topics covered include classification of systems and models, steps in developing computer models for discrete event systems, simplification, verification, validation, and applications of simulation and modeling. To provide the student with practical experience, commercial simulation software is used to implement and simulate the models. (prereq: Computer Programming, Probability and Statistics, Graduate standing) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Subha Kumpaty
	GE 705 - Computer Assisted Engineering 3 lecture hours 0 lab hours 3 credits Course Description The purpose of this course is to make students familiar with the application of computer-based tools in the analysis and design of engineering systems. Topics covered include data acquisition, frequency domain analysis, mathematical and statistical problem solving, the use of computers in graphics and an introduction to simulation. The course emphasizes the use of commercially available software packages for problem solving. Students are taught to write small programs using high-level languages and special purpose software library packages. Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Subha Kumpaty
	GE 706 - Digital Control Systems 3 lecture hours 0 lab hours 3 credits Course Description The purpose of this course is to provide a sound introduction to the techniques applicable to the analysis and design of digital control systems. Topics include sampling, difference equations, z-transform analysis, signal flow diagrams, digital filters, frequency response, stability analysis, and extensions of controller design criteria from analog to digital systems. (prereq: Graduate standing, Laplace transforms and a control systems course such as EE-370, Note: Either GE-706 or EE-579 may be taken for Graduate credit, but not both) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Coordinator Subha Kumpaty
	GE 791 - Engineering Specialty Paper 3 lecture hours 0 lab hours 3 credits Course Description This course is designed to give the student an opportunity to integrate knowledge in a chosen specialty, identify a current problem or project in the field, and develop a paper analysis/design which will be reviewed by a faculty in the specialty. This is a culminating course in the non-project option which serves as an avenue to review the program experience with the program director who facilitates the course. A final paper is expected along with an oral presentation at the end of the course. (prereq: two 700- or 800-level courses in the chosen specialty) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Subha Kumpaty
	GE 796 - Engineering Project Proposal Development 3 lecture hours 0 lab hours 3 credits Course Description This course functions as the proposal-writing phase of the engineering project in the program. Student project is selected and student is paired with the advisor and committee members. A detailed project proposal is prepared. Topics covered in the lectures and addressed in the proposal include the problem definition, engineering specifications, design process, patent and intellectual property, library research, reliability and safety, and project management. The course addresses how to organize and manage the MSE Capstone Project Report and culminates in a written proposal and oral presentation. (prereq: completion of 27 Graduate quarter credits and consent of program director) Course Learning Outcomes Upon successful completion of this course, the student will be able to: • No course learning outcomes appended Prerequisites by Topic • None appended Course Topics • No course topics appended Laboratory Topics • None appended Coordinator Subha Kumpaty

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Course Descriptions

AE 610 - Applied Finite Elements

AE 612 - Structural Dynamics

AE 614 - Lateral Loads on Structural Systems

AE 616 - Structural Stability

AE 720 - Masonry Design

AE 730 - AISC Steel Design

AE 732 - Steel Design for Buildings (AISI)

AE 734 - Connection Design

AE 740 - Reinforced Concrete Member Design

AE 742 - Foundation Design

AE 744 - Prestressed Concrete Design

AE 746 - Reinforced Concrete Structure Design

AE 750 - Wood Design

AE 760 - Modern Structural Systems

AE 762 - Bridge Design

AE 799 - Structural Engineering Independent Study

AE 800 - Research and Presentation

AE 890 - Structural Engineering Design I

AE 892 - Structural Engineering Design II

CS 5881 - Artificial Intelligence

CV 512 - Geographical Information Systems (GIS)

CV 540 - Air Permitting

CV 550 - Physical Hydrogeology

CV 552 - Contaminant Hydrogeology and Groundwater Remediation

CV 554 - Ground Water and Soil Remediation Technologies

CV 611 - Environmental Chemistry

CV 614 - Environmental Microbiology

CV 710 - Environmental Statistics and Modeling

CV 712 - Water Quality Analysis and Modeling

CV 715 - Open Channel Hydraulics

CV 720 - Design of Biological Wastewater Treatment Processes

CV 722 - Design of Water Treatment Systems

CV 724 - Industrial Wastewater Treatment

CV 730 - Pollution Prevention and Waste Minimization

CV 750 - Plant Safety/OSHA Issues

CV 752 - Risk Assessment and Environmental Auditing

CV 756 - Environmental Project Management/ Life Cycle Cost Analysis

CV 760 - Environmental Law

CV 800 - Research and Writing

CV 890 - Capstone Design Project I

CV 892 - Capstone Design Project II

EE 521 - Digital Communication Systems

EE 523 - Applications of Digital Signal Processing

EE 525 - Radio Frequency Circuit Design

EE 526 - Advanced Electromagnetic Fields

EE 529 - Microwave Engineering

EE 544 - Power Electronics

EE 547 - Power System Analysis I

EE 549 - Power System Analysis II

EE 581 - Fuzzy Set and Applications

EE 584 - Neural Networks

EE 587 - Machine Vision

EE 588 - Introduction to Artificial Intelligence and Expert Systems

EE 593 - Advanced Microprocessors

EE 799 - MSE Independent Study

EE 813 - Advanced Electronic Systems

EE 814 - VLSI Circuit Design

EE 871 - Modern Control Systems

EE 5050 - Low-Noise Analog System Design

EE 5060 - Introduction to Nonlinear Dynamics and Chaos

EE 5112 - Advanced Analog Electronics

EE 5210 - Electromagnetics and Transmission Lines

EE 5250 - Advanced Signal Processing

EE 5480 - Electrical Power Systems Quality

EE 5720 - Control Systems II

EE 5980 - Topics in Electrical Engineering

EV 611 - Applications of Chemistry in Environmental Engineering

EV 612 - Biology for Environmental Engineers

EV 614 - Microbiology for Environmental Engineers

EV 710 - Environmental Statistics and Modeling

EV 720 - Municipal Wastewater Treatment

EV 722 - Hydrogeology and Groundwater Pollution

EV 724 - Industrial Water Treatment and Stormwater Management

EV 726 - Water Resources Management

EV 728 - Design of Hydraulic Systems

EV 730 - Solid and Hazardous Waste Minimization

EV 732 - Solid Waste Engineering and Management

EV 740 - Air Pollution Control

EV 742 - Air Permitting