HU 434 - Existentialism

• Better understand and critically evaluate the philosophical movement of existentialism
• Develop and critically evaluate his or her own philosophical positions on existential themes and issues
• Apply his or her evaluations and conclusions to his or her own professional and personal life

• None 

• Philosophy and existentialism (3 classes)
• Forerunners of existentialism (3 classes)
• Kierkegaard and Nietzsche (3 classes)
• Heidegger (5 classes)
• Sartre and de Beauvoir (3 classes)
• Marcel and Buber (3 classes)
• Camus (6 classes)
• Future directions of existentialism (3 classes)
• Midterm (1 class)
• Final Exam (2 classes)

HU 435 - Philosophy of Religion

• Question, think critically, and utilize philosophic methods of inquiry
• Understand the place and possible limits of both science and philosophy in the search for ultimate meaning
• Respond to the important, perennial and personal questions of spirituality by examining classical and contemporary arguments for and against God’s existence and related topics

• None 

• Philosophy and Philosophy of Religion (2 classes)
• Origins of religion (2 classes)
• World religions (2 classes)
• Arguments for the existence of God (3 classes)
• Problem of evil (3 classes)
• Death and immortality (2 classes)
• Sam Keen and the Spiritual Quest (6 classes)
• Siddhartha’s Search for Meaning and Purpose (3 classes)
• Taoism, philosophy or religion, and related issues (3 classes)
• The Human Journey and Search reconsidered (3 classes)
• Midterm exam (1 class)

HU 436 - Metaphysics

• Produce arguments for and against the reality of time
• Identify the main theories of the relationship between mind and body
• Describe several leading theories of personal identity
• Distinguish between metaphysical and scientific questions

• None 

• Introduction (1 class)
• Time (5 classes)
• Identity (2 classes)
• Personal identity (5 classes)
• Mind-body problem (3 classes)
• Minds and computers (3 classes)
• Freedom and determinism (6 classes)
• Metaphysics and science (2 classes)
• Review and exams (3 classes)

HU 437 - Praxiology

• Have a better understanding of the relation between thought and action
• Distinguish intellectual activity specific to observation from that specific to action
• Acquire a perspective on the intellectual foundations of engineering and management

• None

• The problems of Praxiology (1 class)
• The philosophical analysis of action (1 class)
• Discussion of Peter Caw’s “Praxis and Techne” (2 classes)
• The technique of phonological reduction (3 classes)
• G.H Mead on action (3 classes)
• The Takoff-Johnson theory of metaphor (3 classes)
• David Sudnow’s description of improved conduct (6 classes)
• Frank Wilson (7 classes)
• The Alexander Technique (2 classes)

HU 438 - Aesthetics

• Reflect on philosophical issues raised by artistic phenomena and the possibility of aesthetic experience
• Consider definitions of art, the function of museums, public art, and standards of taste and evaluation
• Contemplate the ontological status of art works, reproductions and digital art, depiction, horror and sublimity, and somaesthetics

• None 

• Course introduction and theories of art (3 classes)
• Dewey, Danto and Dutton (3 classes)
• Parker and Stolnitz (3 classes)
• Melchionne, Hein, et al (3 classes)
• Hume, Leddy and Brand (3 classes)
• Bourdieu and Cohen (3 classes)
• Plato, Bass et al (3 classes)
• Carroll, Gadamer, and MacKenzie (3 classes)
• Benjamin and Shusterman (3 classes)
• Videos (1 class)
• Exams (2 classes)

HU 439 - Philosophy of Technology

• Understand and critically evaluate the impact technology has upon our lives and world
• Understand and evaluate various attitudes and values people have toward technology
• Ask critical questions about the future directions of technology and explore whether any ethical vision guides the development of technology

• None 

• Philosophy of technology (3 classes)
• History of technology (3 classes)
• Developing a philosophy of technology (8 classes)
• Rethinking technology (9 classes)
• Brave New World (3 classes)
• Future of technology (3 classes)
• Midterm exam (1 class)
• Final Exam (2 classes)

HU 440 - Global History I–The World to 1500

• Understand the historical development of Western and non-Western cultures and compare and contrast the problems of both past and present generations

• None 

• Schools of history/characteristics of civilizations (1 class)
• Paleolithic and Neolithic societies (1 class)
• Ancient civilizations (3 classes)
• History of the Hebrews (1 class)
• Classical civilizations (6 classes)
• Rise of Christianity (2 classes)
• Medieval civilizations (9 classes)
• Non-Eurasian World (2 classes)
• Late Islamic states and empires (1 class)
• Exams (3 classes)

HU 441 - Global History II–World since 1500

• Understand the historical development of Western and non-Western cultures and compare and contrast the problems of both past and present generations
• See and comprehend the development of today’s institutions, ideas, and patterns of living
• Understand both the meaning and the responsibilities of being citizens in the world community

• None 

• European Renaissance (1 class)
• European Reformation (1 class)
• European exploration and discovery (1 class)
• European Scientific Revolution (1 class)
• European Industrial Revolution (1 class)
• European political revolutions (3 classes)
• Imperialism in the non-Western world (3 classes)
• European intellectual development (2 classes)
• World War I (2 classes)
• Middle East during World War I (1 class)
• World War II (1 class)
• Nationalist uprisings in the colonial world (1 class)
• Rise of Communism and Fascism (2 classes)
• World War II (3 classes)
• Decolonization of the non-Western world (1 class)
• The Cold War (1 class)
• Middle East since World War II (1 class)

HU 442 - Modern European History

• See the revolutions of the 19th century and the Russian Revolution of the 20th century as an extension of the ideas of the French Revolution of 1789
• Understand the rise and manifestation of various ideologies including liberalism, nationalism, Marxism, fascism, and totalitarianism
• Realize that the future of European existence and importance lies in a “United States of Europe”

• None 

• Europe before and after the Congress of Vienna (1 class)
• Romanticism and other European intellectual trends after 1815 (1 class)
• Industrial Revolution (1 class)
• Revolutions of 1824-1848 (1 class)
• Crimean War and the balance of power in Europe (1 class)
• Unification of Italy and Germany (1 class)
• Britain, Austria, Hungary, and Russia, 1815-1871 (2 classes)
• Intellectual (1 class)
• European intellectual trends after 1848 (1 class)
• European Imperialism (1 class)
• Europe: Domestic concerns and culture after 1848 (1 class)
• Europe: Foreign policy, 1871-1914 (1 class)
• World War I and the peace settlements (1 class)
• Bolshevik Revolution (1 class)
• European intellectual trends after 1914 (1 class)
• Stalin and the Soviet Union (1 class)
• Rise of Fascism in Italy and Germany (1 class)
• World economic crisis (1 class)
• The road to war in Europe, 1933-1939 (1 class)
• World War II in Europe (2 classes)
• The origins of Cold War in Europe (1 class)
• Political shifts in post-war Europe (1 class)
• The end of European empires (1 class)
• Unrest in East Europe (1 class)
• Collapse of Communist empires, the rise of the EU, and Thatcher (1 class)
• Tests (3 classes)

HU 443 - Russian History

• Understand the difference in meaning between Russia and Soviet Union
• Understand the impact of geography on both Russian and Soviet history
• Understand the history, development, and nature of Communism in the former Soviet Union
• Have a perspective to help interpret today’s happenings in Russia and the former Soviet Union

• None 

• Russian geography/Survey of the Russian republics (1 class)
• Survey of Russian history to 1900 (1 class)
• Principles of Marxism and of Leninism (1 class)
• Rise of revolutionary political parties (1 class)
• Russo-Japanese War, 1904-1905 (1 class)
• Revolution of 1905 (1 class)
• The Constitutional Experiment (1 class)
• World War I (1 class)
• The Revolutions of 1917 (2 classes)
• Civil War (1 class)
• New Economic Policy (1 class)
• Foreign policy in the 1920s (1 class)
• Creation of the USSR/Lenin’s death (1 class)
• Lenin/Trotsky Controversy (1 class)
• The Five-Year Plans, Stalin’s consolidation of Totalitarianism (1 class)
• Education/religion (1 class)
• Russian foreign policy under Stalin (2 classes)
• World War II (2 classes)
• Aftermath of World War II and Cold War (1 class)
• Death of Stalin and rise of Khrushchev (1 class)
• Soviet Union under Khrushchev (2 classes)
• Soviet Union under Brezhnev (1 class)
• Gorbachev, Perestroika, and Glasnost (1 class)
• Collapse of the Soviet Union, Commonwealth of Independent States (1 class)

HU 444 - United States History

• Have an understanding of the development of sectional communities in its early colonial history
• Have an understanding of the sectional rivalry that erupts in the American Civil War
• Have an understanding of the expansion of federal power domestically since the end of the Civil War
• Have an understanding of the growing international role the United States has played since the end of the Civil War
• Have an understanding of the causes and effects of the American Revolution, the Civil War, and the two World Wars

• None 

• Origins of American colonial communities (3 classes)
• Colonial society in the 18th century (1 class)
• American Revolution (1 class)
• Constitution and Early Republic (3 classes)
• Origins and consequences of sectional issues (3 classes)
• Development of the Second America Party System (1 class)
• Civil War (1 class)
• Reconstruction (1 class)
• Gilded Age (1 class)
• International events in the late 19th and early 20th centuries (2 classes)
• Progressive Age (1 class)
• New Deal (1 class)
• America in World War II (1 class)
• The Early Cold War (1 class)
• The 1960s and Vietnam (1 class)
• America since the 1970s (1 class)

HU 445 - United States History I

• Have a framework for better understanding the forces that have been active in shaping the American heritage
• Understand the particular importance of the history of the nature of the federal union prior to and up through the Civil War

• None 

• No course topics appended.

HU 446 - United States History II

• Have a framework for better understanding the forces that have been active in shaping the history of the United States since the Civil War
• Understand the importance of the history of the growth of federal power in the domestic and international arenas since the Civil War, particularly during the twentieth and twenty-first centuries

• None

• No course topics appended.

HU 447 - History of the Middle East

• Have had a survey of the Middle East from ancient times to the present
• Understand the origins of Islam and the colonial history of the Middle East
• Understand the key theme that the Arab people have developed a progressively stronger sense of identity
• Understand the obstacles that have prevented the Arab people from realizing their goal of a single Arab nation state

• None 

• No course topics appended.

HU 448 - World War II

• Have surveyed the history of World War II, the events that caused it, and the events that resulted from the war
• Understand that the overarching theme of World War II is that it was really a clash between fascism and communism
• Develop a psychological profile of Adolf Hitler
• Examine how Hitler’s mental state and decision-making deteriorated during the war

• None 

• No course topics appended.

HU 449 - German History

• Have surveyed the history of Germany from classic times to the present
• Understand the general development of German culture
• Consider whether Germany had a unique historical development when compared to other European cultures
• Comment on the “sonderweg” or the “peculiar path” of historical development

• None 

• No course topics appended.

HU 485 - Fine Arts

• Have an understanding of the source elements of creativity and how they apply to the Fine Arts and themselves
• Have a grasp on the sensual elements involved in the Arts including basic vocabulary and media
• See work in its historical context
• Realize how one is already involved in the arts
• See the interrelatedness of all the various specialties in the fine arts
• Be aware of each persons relationship and involvement in the arts
• Want to continue to grow in knowledge and participation in the arts

• None 

• What is Fine Art? (2 classes)
• Orchestra Composition (1 class)
• History of classical music (4 classes)
• Historical tree of your favorite music (1 class)
• Themes and purposes of Art (3 classes)
• The visual elements (3 classes)
• Artist interview (2 classes)
• Media (3 classes)
• Fine Arts in history (5 classes)
• The Twentieth Century (3 classes)
• Trends of Contemporary Art (2 classes)
• Quizzes/Tests (2 classes)
• Final Exam (1 class)

HU 486 - Theatre Arts

• Understand the rich and long history of theatre
• Become familiar with the different genres within theatre
• Understand the influence of famous playwrights, actors and directors
• Understand theatre as a form of cultural expression

• None 

• General Introduction to the course (1 class)
• The theatre of Greece and Rome (3 classes)
• Theatre in the Middle Ages (2 classes)
• The Renaissance and Neoclassical Eras (3 classes)
• Theatre and Reform (2 classes)
• Theatre into the New Millenium (3 classes)
• The Business of Theatre and the Role of Audience (1 class)
• How to Read and See a Play (2 classes)
• Making Theatre Today (2 classes)
• Playwrights, actors and directors (3 classes)
• Designers and Technicians (2 classes)
• Exams (2 classes)
• Student Projects and Presentations (4 classes)

HU 487 - Visual Arts

• Introduce the non-Art student to the visual arts throughout history and display their relevance to everyone
• Familiarize participants with tools and methods of making art
• Increase student’s personal involvement and interest in the arts
• Enhance the lives of class participants by removing the fear and misunderstanding of the arts

• None 

• Living with Art (1 class)
• What is Art? (2 classes)
• Themes and purposes of Art (3 classes)
• The Visual Elements (2 classes)
• Principles of Design (2 classes)
• Two-dimensional Media (1.5 classes)
• Three-dimensional Media (1.5 classes)
• Arts in time and history (6 classes)
• The Twentieth Century (4 classes)
• Trends of Contemporary Art (4 classes)
• Quizzes/tests (4 classes)
• Final Exam (1 class)

HU 488 - Music History & Appreciation

• Understand the history of modern popular music
• Describe the evolution of popular music in three genres–country, jazz, and punk rock–throughout the twentieth century
• Understand the issues, ideas and environments that helped give birth to musical forms
• Recognize that music is more than simply the sum of its notes: it is about how we live our lives

• None 

• Listening to Reason: Learning to Study Music (3 classes)
• The Creation of Modern Country Music (3 classes)
• Country Music Comes of Age (3 classes)
• The Birth of the Cool: Jazz in America (3 classes)
• The Cool Goes Global: Monk in France–and Beyond (3 classes)
• From Jazz to–What? The Legacy of an American Art Form (3 classes)
• The Return of the 70s (3 classes)
• The Rise of Punk Rock (3 classes)
• The Fall(?) of Punk Rock (3 classes)
• The Current Landscape of American Popular Music (3 classes)

HU 489 - Film Studies

• Understand basic elements of film making, both technical and artistic
• Understand film theory and major film movements in the history of the field
• Understand the relationship of film to other art forms
• Perform analysis and interpretation of films using vocabulary of the field and placing discussion of meaning within the context of both individual viewers and the larger culture of society

• Background in basic composition
• Understanding of literary and visual interpretation of texts and artworks

• Elements of film studies (6 classes)
• History of film (6 classes)
• Aspects of film production (3 classes)
• Film genres and approaches to film criticism (3 classes)
• Analysis and discussion of selected genre films viewed in class (11 classes)
• Midterm Exam (1 class)

HU 494 - Creative Thinking

• Identify and discuss at least three competing theories which outline the origins of creative thought
• Demonstrate flexibility in defining problems
• Approach the solution to any problem with several different methodologies
• Perform a patent search to confirm the originality of their idea
• Compare and contrast problem solving, critical thinking, and creative thinking
• Applying theoretical and pragmatic approaches toward the completion of a final, genuinely original and unique, project

• None 

• Introduction/Class management (1 class)
• Criteria for judging creativity and the creative person (2 classes)
• The creative process (2 classes)
• Problem definition (4 classes)
• Psychological models for creativity (3 classes)
• Distinctions between creativity, critical thinking, and problem solving (1 class)
• Traditional and contemporary management of/for creative responses (3 classes)
• Pragmatic creativity (6 classes)
• Conception through production (2 classes)
• Oral Presentations. (6 classes)

HU 495 - Humanities Selected Studies

• No course learning outcomes appended.

• None 

• No course topics appended.

HU 499 - Independent Study

• No course learning outcomes appended.

• None 

• No course topics appended.

HU 4200 - Linguistics: Scientific Study of Language

• Demonstrate an understanding of linguistics as a traditional discipline of language study as well as an interdisciplinary field
• Demonstrate an awareness of the key concepts and theories of language
• Demonstrate a familiarity with linguistic terminology as well as tools of linguistic analysis
• Demonstrate an application of linguistic knowledge to academic, professional, and personal situations through language problem-solving situations

• None 

• Basic Aspects of Language (3 classes)
• Evolution of Language (3 classes)
• Language in Society (3 classes)
• Language and Culture (3 classes)
• Language and Writing
• Language and the Brain (3 classes)
• Language Acquisition (3 classes)
• Language in Electronic and Multimedia Communication (6 classes)
• Midterm Quiz (1 class)
• History of the English language (3 classes)
• Final Quiz (1 class)

HU 4300 - Philosophy of Education

• Deepen an understanding available from general and sustained reflection on the nature and goals of education
• Understand the relation of education to schooling, the tension between education for work and for citizenship, educational access, concepts of teaching, and the nature of grading and testing

• None 

• Course introduction and classical thinkers (3 classes)
• Rousseau, Dewey and Peters (3 classes)
• Freire, Aristotle and Rousseau (3 classes)
• Dewey and Sen (3 classes)
• Hoffe, Feinberg and Callan (3 classes)
• Mill and Gutmann (2 classes)
• Howell, Strike and Friedman (3 classes)
• Crouch, Brighouse and Green (3 classes)
• Gutmann, Jencks and Kupperman (3 classes)
• McGlaughlin, Wolff and Curren (3 classes)
• Exams (1 class)

HU 4370 - Political and Social Philosophy

• Understand the continuous history of philosophical writers concerned with the same problems as their predecessors
• Understand the tradition of thought while demonstrating its relevance for understanding a number of contemporary issues
• Understand the recurring theme of the encounter of liberalism and communitarianism

• None 

• Plato (4 classes)
• Aristotle (2 classes)
• Hobbes and Rousseau (3 classes)
• Aristotle, Hobbes and Locke (3 classes)
• Hobbes, Locke and Rousseau (3 classes)
• Aristotle, Hobbes, Locke and Mill (3 classes)
• Aristotle, Hobbes, Rawls and Nozick (3 classes)
• Plato and Machiavelli (3 classes)
• Locke et al (3 classes)
• Taylor, Foucault and Habermas (2 classes)
• Exams (1 class)

HU 4495 - Latin American History

• No course learning outcomes appended.

• None 

• No course topics appended.

HU 4495A - African History

• No course learning outcomes appended.

• None 

• No course topics appended.

HU 49514 - Philosophical Intersubjectivity

• No course learning outcomes appended.

• None 

• No course topics appended.

IE 100 - Introduction to Industrial Engineering Profession

• Define and explain common industrial engineering terminology
• Give examples of career opportunities in industrial engineering
• Be aware of historic, contemporary, and futuristic perspectives of industrial engineering
• Be aware of contemporary industrial engineering initiatives to reinvent and improve enterprises

• None

• Historic and contemporary views of IE (1.5 weeks)
• Engineering ethics (0.5 weeks)
• Quality (1 week)
• Process fundamentals and improvement perspectives (1 week)
• Ergonomics (1 week)
• Operations research and logistics (1 week)
• Management and leadership (1 week)
• Healthcare (1 week)
• Manufacturing (1 week)
• Contemporary IE initiatives and future trends (1 week)

• A weekly two-hour lab will give time for a course project and multiple exercises aimed at developing student understanding of the field of Industrial Engineering

IE 193 - Computer Applications in Industrial Engineering

• Demonstrate Excel skills including descriptive statistics, use of the analysis toolpak, lookup functions, and pivot tables.
• Be proficient at programming including macro recording, logic and conditional operators, procedures and subroutines, the object model, strings, loops, forms, and error handling.
• Demonstrate basic skills using Access including creating a database and linking it to Excel.

• None

• Excel (5 weeks)
• General Programming (2 weeks)
• MS Visual Studio (3 weeks)

• A weekly two-hour lab will use defined projects to exercise student skills as defined in the Course Outcome section

IE 203 - Applications of Statistics in Industrial Engineering

• Describe and define basic statistical terminology
• Perform statistical analyses including identifying and working with probability distributions
• Understand how and why statistics are an integral part of an engineering analysis
• Draw inferences from data obtained by testing components and systems
• Improve communications skills, both written and verbal
• Understand the value of life-long learning and personal growth and development

• Good understanding of probability, statistical distributions, hypothesis testing, and analysis of variance

• Minitab (1 week)
• Measurement error and propagation (1 week)
• Confidence intervals (1 week)
• Hypothesis testing (2 weeks)
• Correlation and linear regression (2 weeks)
• Multiple regression (1 week)
• Experimental design (2 weeks)

• A weekly two-hour lab will use defined projects to exercise student skills as defined in the Course Outcome section

IE 312 - Research Methods

• Summarize the major steps involved in conducting scientific research
• Give examples of different types of research
• Plan a research study
• Give examples of the different types of data that can be collected (quantitative and qualitative) and identify corresponding data collection techniques
• Give examples of the different types of analysis that can be done
• Describe critical issues related to the development of interviews and surveys
• Explain reliability, validity, and research limitations
• Appraise and criticize others’ research through a peer review process
• Discuss substantive issues related to a research topic
• Present results from a research study in a written report and an oral presentation

• None 

• Overview of scientific research and research methods (1 week)
• Literature review (1 week)
• Experimental research (1 week)
• Interviews, surveys, and human subjects (1 week)
• Collection and analysis of data (1 week)
• Limitations of research and reporting results (1 week)
• Peer review (1 week)
• Publications and funding proposals (1 week)
• Corporate R&D (1 week)
• Presentation of student research projects (1 week)

IE 331 - Production Planning and Inventory Control

• Define and explain common terminology related to production planning and control
• Utilize common forecasting techniques to predict future demand
• Understand the EOQ model and trade-offs between lot size and other system parameters (capacity, utilization, lead time)
• Manually apply the MRP algorithm with various lot sizing rules to generate planned order releases
• Perform rough-cut capacity planning and calculate relevant system parameters such as capacity, utilization, and efficiency
• Describe the difference between push and pull production systems and explain how various pull systems operate (kanban, conwip, POLCA)
• Relate the Theory of Constraints to production planning and control activities
• Utilize SAP software to analyze data from a sample company and perform common production control transactions

• Basic understanding of statistics, variability, and linear regression

• Overview of production planning and inventory control (2 weeks)
• Overview of SAP software (3 weeks)
• Forecasting (2 weeks)
• Sales and operations planning (2 weeks)
• Master scheduling (2 weeks)
• Inventory management and MRP (2 weeks)
• Capacity management (1 week)
• Production activity control (0.5 weeks)
• Lean and JIT (0.5 weeks)
• Theory of Constraints (1 week)

IE 336 - Contemporary Manufacturing Systems

• Describe historic and contemporary perspectives of manufacturing systems.
• Compare and contrast manufacturing systems.
• Compare and contrast contemporary manufacturing system improvement philosophies.
• Identify and analyze important issues and decisions related to contemporary manufacturing systems.
• Form alternative potential improvements to contemporary manufacturing systems.
• Demonstrate knowledge of contemporary manufacturing systems either by redesigning a system or preparing a case study.
• Examine the long-term costs and consequences associated with proposed changes to manufacturing systems, including considerations of sustainability.
• Demonstrate written and graphical communication skills.

• None 

• Manufacturing strategy and history (1 week)
• Flexibility and automation (0.5 weeks)
• Agile and virtual manufacturing (0.5 weeks)
• Lean manufacturing and value stream mapping (1.5 weeks)
• Quick response manufacturing (1 week)
• Concurrent engineering and design for assembly (1 week)
• Mass customization (1 week)
• Global and environmental issues (1.5 weeks)
• Project work and exams (1.5 weeks)

• A weekly 2-hour lab is used for physical and computer simulations, demonstrations, and exercises that reinforce the course topics.

IE 340 - Project Management

• Understand the general issues related to the management of engineering oriented projects
• Plan and develop the project objectives, scope and boundaries of a project with regard to the triple constraint of technical performance, cost and schedule
• Use the Critical Path Method (CPM) and Activity on Node (AON) in the development of the project schedule
• Identify and develop project metrics and deliverables
• Define the project by creating the work breakdown structure, responsibility matrix and communication plan
• Develop the project budget and understand how resources are allocated to a project
• Understand how to monitor, control, evaluate and terminate the project
• Better understand the various roles one may assume on an engineering team, including the responsibilities of the project manager

• Basic understanding of probability and statistics.

• Introduction to Project Management in an engineering context and the characteristics of an Effective Project Manager (PM) including PM’s Roles and Responsibilities (1 week)
• Planning the Project - Project Charter, Project Initiation (including objective, scope, boundaries, triple constraint, stakeholders, project metric and deliverables), Communication Plan (2 weeks)
• Defining the Project - Work Breakdown structure, Responsibility Matrix and Project Accountability (2 weeks)
• Budgeting the Project (1 week)
• Scheduling the Project, including Critical Path Method (CPM) and Activity on Node (AON) (1 week)
• Allocating Resources to the Project, Monitoring and Controlling the Project, Evaluating and Terminating the Project (2 weeks)
• Leadership and Motivation (1 week)

IE 347 - Facilities Design

• Generate and evaluate solutions to facilities layout problems using both analytical and qualitative techniques
• Generate and evaluate detailed layouts for manufacturing cells
• Utilize the simplified systematic layout planning or systematic planning of manufacturing cells techniques on a real-world facility design project
• Present 2-dimensional detailed layouts using CAD software
• Understand both analytical and qualitative solution approaches to facilities location problems, as well as significant criteria to be considered
• Present facility design project information orally and verbally in class presentations and a formal technical report

• Two-dimensional drawing with CAD software

• Overview of facilities design and introduction to course project (0.5 weeks)
• Simplified systematic layout planning (1.5 weeks)
• Manufacturing cells and systematic planning of cells (1 week)
• Equipment and flow analysis (0.5 weeks)
• Cell layout planning and detailed cell plans (2 weeks)
• Project planning and implementation (0.5 weeks)
• Personnel requirements and infrastructure systems (0.5 weeks)
• Layout algorithms (0.5 weeks)
• Warehouse layouts (0.5 weeks)
• Facility location models and site selection (0.5 weeks)
• Project work and class presentations (2 weeks)

• A weekly 2-hour lab is used primarily for work on the course project, which is typically development of a facility layout for an industry client. The time is used for client visits, team meetings, and preparation of the project deliverables

IE 348 - Quality Assurance (SPC)

• Discuss the importance of quality improvement as a strategic management issue
• List the fundamental concepts and techniques advanced by Deming, Juran, Fiegenbaum, and Crosby
• Successfully characterize and evaluate process capability
• Specify, create, implement, and interpret fundamental variables and attributes control charts
• Utilize graphical methods for efficient data analysis and problem solving
• Develop acceptance sampling plan OC curves
• Specify and interpret basic acceptance sampling systems such as ANSI/ASQC Z1.9
• Design appropriate quality control systems
• Define the relationship between statistical design of experiments and process control techniques
• Apply QA techniques to both manufacturing and service sectors
• Improve communications skills

• Good understanding of statistical distributions, variability, and using software to do hypothesis testing, analysis of variance, and conduct and interpret other statistical tests

• What is quality? (1 week)
• How is quality defined (1 week)
• Quality improvement (1 week)
• The DMAIC process (1 week)
• Methods and philosophy of SPC (1 week)
• Control charts for variables (1 week)
• Control charts for attributes (1 week)
• System capability analysis (1 week)
• CUSUM and EWMA charts (1 week)
• Acceptance sampling (1 week)

• No laboratory in this course

IE 377 - Safety in Engineering

• Identify a variety of occupational hazards.
• Apply analytical tools to define occupational hazards.
• Apply intervention strategies for ameliorating occupational hazards.
• Find information and other resources regarding occupational hazards.
• Understand how to solve problems related to safety and occupational health, and how to present aforementioned information.
• Better understand the critical value of lifelong learning.

• None

• Introduction to safety, historical background, trends in safety engineering, safety roles (organization, employees, regulation) (1.5 weeks)
• Occupational Safety and Health (OSH) legislation (1 week)
• Worker’s compensation, economic aspects of OSH (1 week)
• Accident causation (1 week)
• Record keeping and analysis (.5 week)
• Hazard analysis (.5 week)
• Risk perception, human error and reliability (1 week)
• Safety inspections (.5 week)
• Mechanical and other hazards, hazardous substances, materials handling (1 week)
• Cumulative trauma and other ergonomic issues (1 week)
• Employee training, motivation and attitudes, developing a successful safety program (1 week)

IE 381 - Deterministic Modeling and Optimization

• Understand, develop, and apply deterministic (non-random) mathematical models to engineering and operational problems
• Use these models to assist the decision-making process
• Develop an understanding of how these methods impact business and industry
• Use computer software to solve these engineering problems
• Improve problem solving skills
• Improve communications skills

• College algebra
• Mathematical procedures for solving systems of linear equations

• Introduction to quantitative management (2 classes)
• Graphical solution of linear programming LP problems (4 classes)
• Applications of LP (3 classes)
• Computer solutions to LP problems (2 classes)
• LP sensitivity, duality (3 classes)
• Transportations & assignments algorithms (3 classes)
• Network analysis algorithms (3 classes)
• Inventory control models (4 classes)
• Introduction to integer and goal programming (2 classes)
• Examinations (3 classes)

IE 382 - Stochastic Processes

• Identify and apply quantitative analysis techniques to engineering problems
• Use quantitative management technique results to analyze alternative solutions and assist in decision making
• Develop an understanding of how these methods impact business and industry
• Improve problem solving skills
• Improve communication skills

• Basic understanding of probability theory and probability distributions

• Introduction to Quantitative Management (1 class)
• Probability Review (2 classes)
• Fundamentals of Decision Theory (3 classes)
• Decision Theory and Utility Theory (3 classes)
• Project Management (3 classes)
• Queuing Theory (5 classes)
• Markov Analysis (3 classes)
• Simulation (2 classes)
• Dynamic Programming (5 classes)
• Review (1 class)
• Examinations (2 classes)

IE 383 - Simulation

• Perform simulations of basic manufacturing and service systems
• Select, analyze, and/or design processes using simulation
• Improve problem solving skills
• Improve communication skills

• Understanding of probability distributions, queuing theory, computer programming and statistics

• Introduction to Discrete Event Simulation (2 classes)
• Simulation theory and techniques (2 classes)
• Random Number Generation (2 classes)
• Logic of Single-Queue, Single-Server Systems (2 classes)
• Basic Nodes and Control Statements (6 classes)
• Resources and Gates (3 classes)
• Logic and Decision Nodes (4 classes)
• Statistical Analysis (3 classes)
• Simio Software (3 classes)
• Simulation with Excel (3 classes)
• MPX dynamic modeling (3 classes)
• Applications (2 classes)
• Examinations (2 classes)

• To gain familiarity with simulation using Excel and Simio
• A design project may be conducted as a portion of the lab
• Also, visits to companies and guest speakers who use simulation may be scheduled

IE 391 - Industrial Engineering Junior Project

• Select tools, gather data, build models, and analyze processes used in projects in business and industry
• Exhibit professional behaviors in dealing with external clients
• Demonstrate competence in planning and scheduling methods
• Demonstrate professional written and verbal presentation techniques

• Must have some knowledge of specific industrial engineering techniques that are likely to relate to the course project. Need to have 2 of the following 3 prerequisites: quality control, ergonomics, or operations research. Must also have already taken engineering economics or be taking it as a corequisite so that knowledge of time value of money, value comparisons, and economic decision making for engineering projects can be applied to the junior project

• Working with clients (1 week)
• Project definition, proposal writing, deliverables (1 week)
• Teamwork and leadership styles (1 week)
• Library research (1 week)
• Professional behavior (1 week)
• Planning and scheduling (1 week)
• Data gathering (1 week)
• Tool selection (1 week)
• Model building (1 week)
• Written and verbal presentation techniques

• All laboratory work will be done at the sponsor site or in an MSOE lab, as needed by a particular project

IE 423 - Engineering Economy

• Analyze and evaluate financial alternatives by determining the worth of systems, products and services in relation to cost
• Correctly apply discounted cash-flow analysis to evaluate proposed capital investments
• Acquire, analyze and interpret project data
• Recognize, formulate and analyze cash-flow models
• Determine economic feasibility when evaluating alternatives
• Apply sensitivity analysis to economic decision making
• Explain the results of the cash flow models to managers and others not versed in engineering economic analysis

• College algebra

• Why engineering economy?
• Interest and interest rate
• Rate of return
• Equivalence
• Engineering economics terminology
• Minimum Attractive (or Acceptable) Rate of Return (MARR)
• Cash flows
• Single-payment factors
• Uniform series present worth factor and capital recovery factor
• Sinking fund factor and uniform series compound amount factor
• Interpolation
• Arithmetic gradient factors
• Geometric gradient series factors
• Determination of an unknown interest rate
• Determination of an unknown number of years
• Combining factors
• Nominal and effective interest rates; interest rates varying over time
• Present worth analysis
• Annual worth analysis
• Rate of return analysis
• Benefit-cost ratio analysis
• Breakeven and sensitivity analysis
• Payback period analysis

IE 426 - Materials and Manufacturing Processes

• Distinguish important capabilities and limitations for the following types of manufacturing processes: heat treatment, machining, bulk deformation, metal casting, plastics processes, welding, mechanical assembly, integrated circuit fabrication and electronics assembly
• Select an appropriate manufacturing process given part design and relevant parameters
• Understand how material properties influence choice of and are affected by manufacturing processes
• Develop a manufacturing process plan for a discrete part using one or more of the processes listed in the first bullet (above) that meets acceptable levels of cost and quality
• Display part geometry using multiple 2-dimensional views
• Present technical information in a formal written report

• Basic chemistry
• Mechanics of materials

• Materials and heat treatment (1.5 weeks)
• Measurement and surfaces (.5 weeks)
• Sheet metal processes (.5 weeks)
• Metal casting (1 week)
• Machining (2 weeks)
• Bulk deformation (.5 weeks)
• Polymers and plastics processes (1 week)
• Welding (1 week)
• Mechanical assembly (.5 weeks)
• Integrated circuit and electronics manufacturing (.5 weeks)
• Non-traditional processes and/or micro- and nano-fabrication (up to 1 week, if time permits)

• Sand casting
• Machining
• Welding
• Materials testing (tensile strength, hardness, roughness)
• Plastics
• Plant tour
• Process selection and project work

IE 431 - Six Sigma Methods

• Understand and define Six Sigma terminology
• Understand and perform the five steps of the Six Sigma methodology (DMAIC)
• Complete a team-based project involving the design, construction, testing, and improvement of a small system
• Develop an understanding of how these methods impact business and industry
• Use computer software to solve engineering problems
• Improve problem solving skills
• Improve communications skills by writing a formal report and making an oral presentation and demonstration of a working system

• Basic understanding of probability, statistical distributions, and analysis of variance

• Define stage (1.5 weeks)
• Measure stage (2.5 weeks)
• Analyze stage (4 weeks)
• Improve stage (1.5 weeks)
• Control stage (1 week)

IE 440 - Team Leadership/Facilitation

• Describe what facilitation is and what shaped it a a profession
• Identify critical planning techniques (e.g. agendas, meeting room checklist, logistics)
• Be in a position to give/receive constructive feedback
• Describe strategies for managing through conflict in groups
• Facilitate a brainstorming session
• Understand how and when to use flipcharts
• Describe and utilize strategies to help groups make decisions
• Assist a team in overcoming decision deadlock
• Describe the many tools of facilitation, their purpose and when to use each
• Understand how different leadership skills impact team/group performance
• Understand the impact of motivation and satisfaction on team/group performance
   

• None

• History of facilitation/facilitation basics (1 week)
• Effective meetings (1 week)
• Team conflict/group dynamics (1 week)
• Brainstorming and critical thinking (1 week)
• Asking questions/active listening (1 week)
• Group decision making (1 week)
• Facilitation Toolkit (1 week)
• Self-awareness (2 weeks)
• Emotional intelligence
• Self-efficacy
• Leadership (1 week)

• There is a two-hour lab associated with this course, at which time the topics discussed during lecture are reinforced. Students are involved in practicing the art of facilitation. The lab time is also used to work on the class project–developing a design for a campus innovation lab.
• Introduction to the design project–“Innovation Lab,” including team ground rules exercise and scope of control exercise
• Observing group process
• Team goals, roles, milestones
• Effective meetings
• Conflict exercise
• Team project work
• Divergence/convergence practice on team project
• Active listening lab
• Group Styles Inventory simulation and debrief
• Personal Leadership Brand

IE 449 - Quality Management

• Understand the importance of quality as a corporate-wide system, rather than a separate function within the organization
• Know how quality impacts companies in the manufacturing and service sectors
• Understand the cost of quality and what contributes to a high cost of quality
• Be familiar with the ISO-9000 series of standards, how these are managed and implemented within a company, and the auditing/certification process
• Utilize various analytical and documentation techniques for problem solving, defining customer requirements, and ensuring compliance

• Good understanding of statistical process control, acceptance sampling, and quality improvement tools

• Introduction to quality management, business approaches to quality, and cost of quality (2 weeks)
• ISO 9000 and related quality standards (4 weeks)
• Analytical techniques for problem solving, defining customer requirements, and ensuring compliance (3 weeks)
• Project/research work (1 week)

IE 460 - Design for Quality

• Recognize applicability of experimental design techniques
• Plan and conduct a designed experiment
• Analyze experimental data, draw conclusions, and make recommendations regarding process improvements

• Basic understanding of probability, statistical distributions, calculating means and standard deviations, student “t” tests and central limit theorem

• Review of Statistics (3 classes)
• Hypothesis Testing (6 classes)
• Analysis of Means (6 classes)
• Applications of Factorial Designs (2 classes)
• One-Way and Two-Way, ANOVA (4 classes)
• Fractional Factorial designs (3 classes)
• Taguchi Methods (5 classes)
• Examinations (2 classes)

IE 470 - Topics in Industrial Engineering

• Depends on course topic(s).

• None 

• Topics that have been covered in this course include supply chain management, applying IE techniques to healthcare, quick response manufacturing, and advanced human factors.

IE 483 - Advanced Simulation Modeling

• Use intermediate simulation modeling techniques
• Incorporate transporters and conveyors into models
• Build and test a random number generator
• Generate random variates
• Model discrete/continuous systems
• Perform steady-state analysis of simulation models
• Employ variance reduction techniques in models
• Conduct a comprehensive simulation study, including a final presentation and technical paper
   

• Basic knowledge of discrete-event simulation modeling

• Introduction to Simulation (1 class)
• Simulation language and modeling construct review (1 week)
• Intermediate modeling and steady-state analysis (1 week)
• Verification & validation and entity transfer (1 week)
• Transporters and conveyors (1 week)
• Discrete/continuous systems (2 weeks)
• Random number generation (1 week)
• Variance reduction (1 week)
• Designing and conducting simulation experiments (1 week)
• Project reports (1 week)

• No laboratory for this course

IE 499 - Independent Study

• Depends on course topic(s).

• None 

• Agreed upon by student, faculty advisor, and program director.

IE 1000 - Introduction to Industrial Engineering Profession

• Defining IE; historic & contemporary views of IE
• Engineering ethics & professionalism
• Quality, data analysis & descriptive statistics
• Process improvement fundamentals & flowcharts
• Work measurement & ergonomics
• Manufacturing
• Operations research and logistics
• Healthcare
• Consulting
• Leadership & storytelling
• Motivation
• Project work

• None

• Defining industrial engineering
• Engineering ethics and professionalism
• Quality, data analysis and descriptive statistics
• Process improvement fundamentals and flowcharts
• Work measurement and ergonomics
• Manufacturing  
• Leadership and storytelling
• Motivation 

IE 1003 - Industrial Engineering Profession

2 lecture hours 0 lab hours 2 credits

• Give examples of career opportunities in industrial engineering
• Have an awarness of historic and contemporary perspectives of industrial engineering
• Have an awareness of contemporary industrial engineering improvement methodologies 

• None

• Historic and contemporary views of IE
• Contemporary IE improvement methodologies
• Quality
• Ergonomics
• Operations research and logistics
• Healthcare
• Manufacturing
• Consulting 

IE 1190 - Computer Applications in Industrial Engineering

• Facilitate the development of process flow documentation including traditional flow charts, pseudo-code, and hierarchical charts, and effectively communicate them
• Demonstrate spreadsheet skills including complex calculations, descriptive statistics, analysis tools, lookup functions, and iterative structures
• Be proficient at programming including macro recording, logic and conditional operators, procedures and subroutines, object models, strings, loops, forms, and error handling
• Use and develop databases in a functional way including integrating them with spreadsheets

• College freshman status
• Advanced algebra

• Spreadsheet use, graphing, analysis, data management, and programming
• General programming
• Database structures, programming, and integration with spreadsheets

• A weekly two-hour lab will use defined projects to exercise student skills as defined in the Course Learning Outcome section

IE 2030 - Applications of Statistics in Industrial Engineering

• Describe and define basic statistical terminology  
• Create histograms and identify probability distributions 
• Identify and evaluate the clarity of a hypothesis statement  
• Identify the specific research question under investigation through clear hypothesis formation
• Perform statistical analyses including working with probability distributions 
• Draw inferences from data obtained by testing components and systems, using regression analysis as well as other applicable statistical tests
• Improve communication skills, both written and verbal   
• Understand inverse cumulative distribution functions and their role in random number generation   

• Good understanding of probability, statistical distributions, hypothesis testing, and analysis of variance

• Minitab, R, or other statistics software
• Methods of inquiry
• Probability distributions
• Measurement error and propagation
• Confidence intervals
• Descriptive and inferential statistics
• Measurement error and propagation
• Confidence intervals
• Hypothesis testing
• Correlation and linear regression
• Multiple regression 
• Experimental design 
• Statistical report from mined data

• A weekly two-hour lab will use defined projects to exercise student skills as defined in the Course Outcome section

IE 2450 - Work Planning and Methods Development

• Conduct methods, time, and motion studies utilizing a variety of techniques including graphical analysis tools, traditional stop-watch time studies, predetermined time systems, and work sampling
• Develop work standards
• Describe the advantages and limitations associated with standard data systems
• Identify improvement opportunities based on work methods analysis and work measurement
• Understand how labor reporting and incentive systems relate to methods analysis and work measurement

• Basic understanding of statistical distributions and variability

• Introduction to work methods and work methods improvement (1 week)
• Graphical analysis tools (1 week)
• Time studies (1 week)
• Standard data systems (1 week)
• Predetermined time systems (1 week)
• Work sampling (1 week)
• Physiological work measurement (1 week)
• Labor reporting (1 week)
• Incentives (1 week)
• Increasing productivity (1 week)

• A weekly two-hour lab will give time for multiple lab exercises aimed at giving students hands-on experience with analysis of work methods and work measurement, including time studies, predetermined time systems, physiological work measurement, and the effects of incentives

IE 3310 - Production Planning and Inventory Control

3 lecture hours 2 lab hours 4 credits

• Define and explain common terminology related to production planning and control
• Utilize common forecasting techniques to predict future demand
• Understand inventory management systems, ABC analysis and methods of maintaining inventory accuracy
• Understand the EOQ model and trade-offs between lot size and other parameters (capacity, utilization, lead time)
• Manually apply the MRP algorithm with various lot sizing rules to generate planned order releases
• Perform rough-cut capacity planning and calculate relevant system parameters such as capacity, utilization, and efficiency
• Describe the difference between push and pull production systems and explain how various pull systems operate (kanban, conwip, POLCA)
• Relate the Theory of Constraints to production planning and control activities
• Utilize ERP software to analyze data from a sample company and perform common production control transactions
• Describe Supply Chain Management and compare how DRP structures differ from their MRP counterparts

• Basic understanding of statistics, variability, and linear regression

• Overview of production planning and inventory control
• Overview of ERP software packages
• Forecasting
• Sales and operations planning
• Master scheduling
• Inventory management and MRP
• Capacity management
• Production activity control
• Lean manufacturing
• Theory of constraints
• Supply chain management
• Distribution requirements planning

• Two hour laboratory covering ERP software (e.g., SAP & ERPSim)

IE 3470 - Facilities Design

• Generate and evaluate solutions to facilities layout problems using both analytical and qualitative techniques 
• Generate and evaluate detailed layouts for manufacturing cells 
• Utilize the simplified systematic layout planning or systematic planning of manufacturing cells techniques on a real-world facility design project 
• Present 2-dimensional detailed layouts using CAD software 
• Understand both analytical and qualitative solution approaches to facilities location problems, as well as significant criteria to be considered 
• Present facility design project information orally and verbally in class presentations and a formal technical report

• Understanding of manufacturing systems concepts, including bottlenecks, utilization, lead time, cycle time, throughput, work in process, setup time, batches, and transfer batches

• Overview of facilities design and introduction to course project
• Simplified systematic layout planning
• Manufacturing cells and systematic planning of cells
• Equipment and flow analysis 
• Cell layout planning and detailed cell plans
• Project planning and implementation
• Personnel requirements and infrastructure systems
• Warehouse layouts
• Facility location models and site selection
• Use of 2-dimensional CAD software for facility layouts Project work and class presentations

• A weekly 2-hour lab is used primarily for learning CAD software and working on the course project, which is typically development of a facility layout for an industry client. The project lab time is used for client visits, team meetings, and preparation of the project deliverables

IE 3621 - Ergonomics

• Understand how people fit into technological systems
• Recognize the capabilities and limitations of human perceptual-motor capabilities
• Recognize the capabilities and limitations of human cognitive functioning and why people make errors
• Explain the negative effects that poor work system design and poor product design have on humans
• Recognize the human indicators of fatigue and stress
• Appreciate the importance of organization and job design factors for performance and satisfaction
• Define the ethical application of human factors in designing products and processes
• Recognize ergonomic deficiencies in different environments (i.e., office, manufacturing and classrooms)
• Evaluate and generate ergonomic solutions to the aforementioned ergonomic deficiencies
• Present project information during class presentations as well as in a formal technical report
• Write reports that describe human performance

• None 

• Introduction to and history of human factors and ergonomics, effectiveness and cost effectiveness of ergonomics, human factors investigations (1 week)
• Human information processing and usability; vision and visual display design; hearing, smelling, auditory and olfactory display design; touch and tactile displays and controls (2 weeks)
• Basic anatomy, physiology and biomechanics; physical workload, heat stress and cold stress (1 week)
• Anthropometry and design, work posture and design (1 week)
• Manual materials handling and design; repetitive motion injuries and hand tool design; vibration; automation (1 week)
• Ergonomics of computer workstations, design of manufacture and maintenance (1 week)
• Training and cognitive task analysis; task, organization and job analysis; shift work (1 week)
• Accidents, human error and safety (1 week)
• Macro-ergonomics: job and organization design; engineering ethics (1 week)

• The course includes a 2 hour lab each week where the students will be engaged in demonstrating their understanding of the lecture topics. Lab time will also be used to work on the course project

IE 3770 - Computer Integrated Manufacturing

• Distinguish important capabilities and limitations related to CIM systems, particularly with respect to robotics, identification technologies, computer aided process planning, inspection technologies, manual or automated manufacturing systems, and automated material handling and storage systems
• Select and justify a type of manufacturing system (single or multi-station, manual or automated, GT cell, FMS, transfer line, etc.) for a given production scenario
• Select and justify a material transport system and a storage system for a given production scenario
• Perform calculations related to production rate, production capacity, and storage capacity
• Distinguish important capabilities and limitations of robotic processes
• Program a robot using a software interface
• Analyze a line balancing problem using a heuristic algorithm
• Understand flexible automated production systems through use of the Festo FMS.

• General understanding of a variety of manufacturing processes (such as machining, sheet metal stamping and forming, and plastic injection molding)

• Robotics, discrete control, PLCs (2 weeks)
• Material handling and storage systems (1 week)
• Automated data capture and identification technologies (1 week)
• Inspection and inspection technologies (2 weeks)
• Various types of manual and automated manufacturing systems (2.5 weeks)
• Flexible manufacturing systems (1 week)
• Computer aided process planning and digital manufacturing (0.5 weeks)

• Programming a robot
• Operating and programming a CMM
• Operating and analyzing a FMS
• Bar codes and RFID
• Line balancing

IE 3771 - Automation Technologies

• Distinguish important capabilities and limitations related to automation technologies, particularly with respect to robotics, identification, inspection, material handling and storage systems
• Select and justify a material transport system and a storage system for a given scenario in a manufacturing or service industry
• Perform calculations related to production rate, production capacity, and storage capacity
• Distinguish important capabilities and limitations of robotic processes
• Program a robot using a software interface
• Analyze a line balancing problem using a heuristic algorithm
• Understand flexible automated production systems through use of the Festo FMS

• General understanding of a variety of manufacturing processes (such as machining, sheet metal stamping and forming, and plastic injection molding)

• Robotics, discrete control, PLCs
• Material handling and storage systems
• Automated data capture and identification technologies
• Inspection and inspection technologies
• Flexible manufacturing systems
• Line balancing
• Calculating production and storage capacity

• Programming a robot
• Operating and programming a CMM
• Operating and analyzing a FMS
• Bar codes and RFID
• Line balancing

IE 3820 - Stochastic Processes

• Identify and apply quantitative analysis techniques to engineering problems related to random processes
• Use quantitative management technique results to analyze alternative solutions and assist in decision making
• Have an understanding of how these methods impact business and industry
• Demonstrate systematic problem solving skills and be able to communicate the process effectively

• Understanding of basic probabilistic principles and calculations
• Familiarity with common discrete probability distributions
• An ability to take complex derivatives and limits

• Introduction to Quantitative Management
• Probability for stochastic processes
• Fundamentals of Decision Theory
• Decision Theory and Utility Theory
• Queueing Theory
• Markov Analysis
• Dynamic Programming
• Review
• Examinations

IE 4001 - Industrial Engineering Cooperative Practicum 1

• No course learning outcomes appended.

• None 

• No course topics appended.

IE 4002 - Industrial Engineering Cooperative Practicum 2

• No course learning outcomes appended.

• None 

• No course topics appended.

IE 4003 - Industrial Engineering Cooperative Practicum 3

• No course learning outcomes appended

• None 

• No course topics appended

IE 4260 - Design for Manufacture and Assembly

• Understand the benefits associated with designing components and products with the entire product life cycle in mind
• Understand how early design decisions can influence manufacturing processes, product costs, inspection practices, and supply chains
• Evaluate and compare alternative component and assembly designs for manufacturability and cost effectiveness
• Know some of the specific design changes and design guidelines that enable a component or product to have greater manufacturability, usability, maintainability, reliability, and disposability
• Make and justify trade-offs between competing design objectives

• Knowledge of a variety of manufacturing processes

• Product life cycle and design objectives (1 week)
• DFA (2 weeks)
• DFM for various manufacturing processes (5 weeks)
• Design for other objectives (1 week)
• Project work and exams (1 week)

• The 2-hour weekly lab will be used to evaluate current product and component designs and to create improved designs. Students will disassemble one or more products and practice using various analytical techniques, as well as documenting new designs using CAD software

IE 4332 - Lean

• Explain lean thinking and management methods
• Explain the House of Lean
• Describe the seven forms of waste in business
• Explain the five principles of lean and how to implement them in business
• Understand and be able to apply the concept of value add and non-value add activities
• Explain and prepare a value stream map
• Explain and calculate takt time
• Explain the difference between “push” and “pull” and apply tools to accomplish pull
• Explain and apply 5S, cellular layouts, and leveling
• Explain kaizen
• Explain and apply A3

• None

• Toyota Philosophy and culture, lean leadership, and lean wastes (1.5 weeks)
• People development and team building (1 week)
• Process stability, flow and value stream mapping (1.5 weeks)
• Standard work (.5 weeks)
• 5S, cellular layouts, and level loading (1 week)
• Total productivity maintenance (.5 weeks)
• Manufacturing cells and setup reduction (1 week)
• Push vs. pull and kanban systems (1 week)
• Kaizen and change management (1 week)
• Toyota problem solving technique (1 week)

IE 4336 - Quick Response Manufacturing

• Analyze important issues and decisions related to quick response manufacturing
• Understand manufacturing system dynamics (particularly how lot size and utilization influence lead time)
• Measure Manufacturing Critical-path Time, the QRM metric, in a variety of manufacturing, service, and logistical applications
• Discuss quick response manufacturing in the context of production and office operations
• Demonstrate knowledge of quick response manufacturing by redesigning a system or process to reduce the process lead time
• Demonstrate knowledge of MPX rapid modeling software by utilizing it for process/system analysis and QRM focused improvements

• None

• Benefits of QRM
• Performance and time measurement
• System dynamics and response time spiral
• Reorganizing functional production departments into manufacturing cells
• Designing, implementing, and operating manufacturing cells
• Making capacity and lot sizing determinations/decisions
• Building models and analyzing results using MPX software
• Production planning in a QRM environment
• POLCA and ConWIP production control systems
• Customer and supplier relations with QRM
• Office and service cells
• New product introduction and product lifecycle with QRM principles

IE 4501 - Healthcare Systems Engineering

3 lecture hours 0 lab hours 3 credits

• Understand how Industrial Engineering principles and methods can be applied to healthcare services
• Explain and describe major healthcare processes from an engineering based perspective
• Understand key performance metrics that are utilized to analyze the effectiveness of healthcare quality and delivery
• Apply engineering concepts and methods, including human factors, quality tools, operations research/simulation modeling, and facilities design, to healthcare related problems
• Conduct cost based comparisons and investment justifications in a healthcare environment

• None

• Introduction to healthcare processes
• Applying engineering methods to healthcare services
• Information technology management in healthcare
• Use of bar coding, RFID, and other tracking systems in healthcare
• Human factors and medical errors
• Quality assurance and statistical process control in healthcare
• Mistake-proofing in healthcare
• Modeling of healthcare processes and systems
• Healthcare layouts and facilities design

IE 4621 - Socio-technical Systems

• Describe what engineering socio-technical systems means, what it covers, and what shaped it as a profession
• Understand socio-technical systems engineering theory
• Understand how to apply the socio-technical systems theory and analytical methods to design or assist in the redesign of an organization
• Understand how to conduct a socio-technical systems analysis of a work process
• Understand how different leadership skills impact team/group performance
• Understand how organizational culture impacts employee morale and performance
• Understand the impact of motivation and satisfaction on team/group performance

• None

• Open and other systems (.5 weeks)
• History of socio-technical systems (.5 weeks)
• Socio-technical systems - The environment (1 week)
• Socio-technical systems - The social system (1 week)
• Socio-technical systems - The technical system (1 week)
• Socio-technical system design, redesign and analysis (2 weeks)
• Macro-ergonomics and organizational design and participation (1 week)
• Socio-technical applications and case studies (3 weeks)

IE 4622 - Organization and Job Design

• Understand the theories associated with organization and job design
• Understand how to apply the job design theories and analytical methods in an effort to redesign a job and/or an organization
• Conduct a detailed job analysis
• Understand how different leadership skills and other organizational management approaches and how they impact team/group performance
• Understand how organizational culture impacts employee morale and performance
• Understand the impact of motivation and satisfaction on team/group performance

• None

• Organizational Management Theories - Overview (1 week)
• Job Design Theories (1 week)
• Job Analysis Data Collection Methods (2 weeks)
• Employee Motivation (1 week)
• Teamwork and Participation (1 week)
• Job Redesign and Case Studies (3 weeks)
• Employer/Employee Ethics (1 week)

IE 4773 - Computer Aided Manufacturing/CNC Machining/Rapid Prototyping

• Distinguish important capabilities and limitations of CNC machining and RP processes
• Manually write a CNC program for a CNC mill and a CNC lathe
• Use CAD/CAM software to create and execute CNC programs to machine workpieces on a CNC mill (for student-generated designs: 2.5D milling, hole-making, and 3D contour milling)
• Explain workholding concepts and their importance to CNC machining operations
• Select cutting tools and cutting conditions for various types of machining operations (drilling, facing, pocketing, etc.)
• Set up a CNC machining center, with oversight from a lab technician

• Knowledge of machining processes (milling, drilling, turning, etc.). Must know how to create a part design using 3-dimensional CAD software

• Review of machining processes (1 week)
• CNC machining and programming for mills (2 weeks)
• CAM software and project work (4 weeks)
• Workholding (0.5 weeks)
• Rapid prototyping (1 week)
• CNC machining and programming for lathes (0.5 weeks)
• Canned programs and quick code (0.5 weeks)
• Multi-axis machining (0.5 weeks)

• The 2-hour weekly lab, plus some additional lecture class periods are used for working with the CAM software package to create CNC programs. The programs are thoroughly simulated and tested before running them on a Haas VF-1 machining center. Students also learn how to set up and operate the Haas.

IE 4823 - Financial Engineering

• Understand how engineering methods apply to finance, insurance, and economics
• Understand options, futures, and other financial instruments
• Understand real options
• Understand risk and how risk is evaluated and incorporated into financial models
• Apply game theory concepts to financial analysis

• None

• Introduction to financial engineering
• Application of engineering methods to finance, insurance, and economics
• Mathematical modeling for financial analysis and decision making
• Options, futures, and other financial instruments
• Real options
• Evaluating risk and incorporating it into financial models
• Game theory
• Industry applications and case studies

IE 4880 - Supply Chain Engineering

• Understand how engineering methods apply to supply chain problems
• Model a dynamic supply chain
• Forecast demand and incorporate this forecast across the supply chain model
• Complete a capacity planning analysis
• Understand negotiation strategies and where to apply them
• Explain software tools and methods available for logistical network design and operation
• Understand make versus buy decisions and the associated cost analysis
• Understand the bullwhip effect and how it can be dampened

• None

• Introduction to supply chain engineering
• Operations research models for supply chain analysis
• Forecasting
• Capacity planning
• Negotiation strategies
• Software tools and methods for logistics network design
• Make versus buy decisions
• Bullwhip effect
• Integration problems in supply chain management
• Industry applications and case studies

IE 4901 - Industrial Engineering Senior Design Project I

• Understand the client’s situation and define the problem/opportunity with a clear and concise project purpose and scope
• Utilize input from the client to establish performance improvement objectives
• Define an appropriate solution methodology, collect relevant data and information, and identify relevant analytical methods and tools
• Create a detailed and executable project schedule
• Utilize agendas and minutes to plan for and document the results of client meetings
• Communicate, verbally and in writing, the project proposal and project plan
• Function as an effective team member in the context of a real-world project

• Must have sufficient knowledge of specific industrial engineering techniques that are likely to relate to the course project (such as operations research, manufacturing systems analysis, lean manufacturing, production control, ergonomics, safety, etc.). Must have successfully completed the junior project class, demonstrating the student’s ability to work successfully within a team on a client-sponsored industrial engineering project.

• Project proposals (2 weeks)
• Teamwork, performance evaluations, peer feedback (2 weeks)
• Formal presentations (2 weeks)
• Project schedules (1 week)
• Literature review and library research (1 week)
• Data gathering and analysis (1 week)
• Formal technical reports (1 week)

• All laboratory work will be done at the sponsor site or in an MSOE lab, as needed by a particular project

IE 4902 - Industrial Engineering Senior Design Project II

• Utilize relevant industrial engineering methods and tools to collect and analyze data
• Formulate creative alternatives, perform systematic comparisons of alternatives, and formulate recommendations based on quantitative and qualitative evaluations
• Justify recommendations based on quantitative and qualitative performance metrics, taking the context of the client organization into consideration
• Communicate, verbally and in writing, the project methodology, results, recommendations, and organizational impact
• Write an abstract that is clear and concise, emphasizing the most important aspects of the project and its potential for impact at the client organization
• Develop a poster that creates interest and clearly highlights key aspects of the project

• Must have developed a client-approved project proposal in IE 4901  

• Topics are geared towards helping the students satisfactorily complete their projects
• Topics may vary depending on the content of the projects and the specific strengths and weaknesses of the students enrolled in the course
• Topics covered could include review of technical information or techniques, technical writing, and effective oral presentations

• All laboratory work will be done at the sponsor site or in an MSOE lab, as needed by a particular project

IE 4903 - Industrial Engineering Senior Design Project III

• Utilize relevant industrial engineering methods and tools to collect and analyze data
• Formulate creative alternatives, perform systematic comparisons of alternatives, and formulate recommendations based on quantitative and qualitative evaluations
• Justify recommendations based on quantitative and qualitative performance metrics, taking the context of the client organization into consideration
• Communicate, verbally and in writing, the project methodology, results, recommendations, and organizational impact
• Write an abstract that is clear and concise, emphasizing the most important aspects of the project and its potential for impact at the client organization
• Develop a poster that creates interest and clearly highlights key aspects of the project

• Must have developed a client-approved project proposal in IE-4901 and been given consent by the course coordinator and faculty advisor to undertake a larger scope project

• This course is administered similarly to an independent study course. Student teams meet weekly with their advisor to discuss project progress and concerns
• Topics covered in weekly meetings are geared towards helping the students satisfactorily complete their projects
• Topics may vary depending on the content of the projects and the specific strengths and weaknesses of the students enrolled in the course
• Topics covered could include review of technical information or techniques, technical writing, and effective oral presentations

• All laboratory work will be done at the sponsor site or in an MSOE lab, as needed by a particular project

MA 120 - Precalculus Mathematics

• Be proficient with exponential expressions including the laws of exponents and negative and rational exponents
• Factor simple polynomial expressions
• Simplify rational expressions including products, sums, and complex rational expressions
• Solve rational equations including consideration of the domain by means of linear approach and quadratic approach (solving by factoring and/or quadratric formula)
• Be able simplify radical expressions including rationalizing the numerator or denominator
• Solve radical equations (optional)
• Understand the concept of a function, its range and domain, and its graph
• Be proficient with linear functions and models including recognizing that the slope represents rate of change
• Know the graphs of common equations
• Transform the graphs of functions graphically and algebraically
• Understand piecewise-defined functions
• Use operations of functions including composition of functions on calculus concepts such as difference quotients
• Understand exponential functions, their domain and range, and graphs
• Understand logarithmic functions, their domain and range, and graphs
• Be proficient with the properties of logarithms including solving exponential equations
• Understand the measure of an angle including radians and degrees
• Understand the definition of the six trigonometric functions including their relation to the geometry of the unit circle and right triangles
• Evaluate the trigonometric functions both approximately, by using the calculator, and exactly, by using reference angles of
• Common angles
• Apply trigonometric properties to applications
• Know the graphs of the three of sine, cosine and tangent. Recognize the remaining three trigonometric graphs
• Be proficient with basic trigonometric identities including reciprocal identities, ratio identities and Pythagorean identities
• Be familiar with other trigonometric identities (double angle and reduction or half-angle identities)
• Understand the definition of the inverse trigonometric functions and be able to evaluate to find common angles
• Solve basic trigonometric equations

• MA 127   or equivalent

• Inequalities and absolute value (2 classes)
• Factoring and completing the square (2 classes)
• General functions (7 classes)
• Rational functions (3 classes)
• Trigonometric functions (9 classes)
• Exponential and log functions (5 classes)
• Complex numbers (3 classes)
• Systems of equations (2 classes)
• Reviews and exams (7 classes)

MA 120A - Precalculus Mathematics

• Be proficient with exponential expressions including the laws of exponents and negative and rational exponents
• Factor simple polynomial expressions
• Simplify rational expressions including products, sums, and complex rational expressions
• Solve rational equations including consideration of the domain by means of linear approach and quadratic approach (solving by factoring and/or quadratric formula)
• Be able simplify radical expressions including rationalizing the numerator or denominator
• Solve radical equations (optional)
• Understand the concept of a function, its range and domain, and its graph
• Be proficient with linear functions and models including recognizing that the slope represents rate of change
• Know the graphs of common equations
• Transform the graphs of functions graphically and algebraically
• Understand piecewise-defined functions
• Use operations of functions including composition of functions on calculus concepts such as difference quotients
• Understand exponential functions, their domain and range, and graphs
• Understand logarithmic functions, their domain and range, and graphs
• Be proficient with the properties of logarithms including solving exponential equations
• Understand the measure of an angle including radians and degrees
• Understand the definition of the six trigonometric functions including their relation to the geometry of the unit circle and right triangles
• Evaluate the trigonometric functions both approximately, by using the calculator, and exactly, by using reference angles of common angles
• Apply trigonometric properties to applications
• Know the graphs of the three of sine, cosine and tangent. Recognize the remaining three trigonometric graphs
• Be proficient with basic trigonometric identities including reciprocal identities, ratio identities and Pythagorean identities
• Be familiar with other trigonometric identities (double angle and reduction or half-angle identities)
• Understand the definition of the inverse trigonometric functions and be able to evaluate to find common angles
• Solve basic trigonometric equations

• MA 127  or equivalent

• Properties of exponents (2 classes)
• Factoring and simplifying polynomials, rational and radical expressions (4 classes)
• Solving quadratics and trigonometric functions (3 days)
• General functions and their properties: linear, basic graphs, piece-wise (6 classes)
• Trigonometric functions and their properties (11 classes)
• Exponential and log functions (4 classes)
• Reviews and exams (7 classes)

MA 125 - College Algebra I

• Perform the four fundamental operations with signed numbers and polynomials
• Remove and insert symbols of grouping
• Perform basic operations with exponents and radicals
• Solve systems of two equations in two unknowns
• Find certain special products
• Factor by grouping
• Reduce a given fraction to lowest terms
• Perform the four fundamental operations with fractions
• Simplify complex fractions
• Solve fractional equations
• Solve quadratic equations
• Solve word problems leading to algebraic equations

• None

• Fundamental operations (9 classes)
• Equations and applications (7 classes)
• Systems of equations (3 classes)
• Special products and factoring (5 classes)
• Operations with algebraic fractions (6 classes)
• Quadratic equations (3 classes)
• Reviews and exams (7 classes)

MA 126 - Trigonometry

• Define the six trigonometric functions
• Determine the smallest positive angle coterminal with a given angle
• Use a calculator to find the values of trigonometric functions and inverse trigonometric functions
• Determine the values of trigonometric functions of quadrantal and special angles
• Solve triangles
• Convert from degree measure to radian measure and vice versa
• Find the length of a circular arc and the area of a circular sector
• Graph sine and cosine functions
• Evaluate inverse trigonometric functions
• Prove trigonometric identities using fundamental relationships
• Prove trigonometric identities using sum, difference, double-angle, and half-angle formulas
• Solve trigonometric equations
• Use properties of logarithms
• Solve exponential equations by means of logarithms

• Fundamental algebraic operations
• Equations and systems of equations
• Special products and factoring
• Operations with algebraic fractions
• Quadratic equations

• Trigonometric functions and right triangle applications (7 classes)
• Laws of sines and cosines (2 classes)
• The unit circle (1 class)
• Trigonometric functions and real numbers (2 classes)
• Addition and subtraction formulas (2 classes)
• Double and half angles formulas (2 classes)
• Trigonometric graphs (4 classes)
• Basic trigonometric identities (2 classes)
• Inverse trigonometric functions (2 classes)
• Trigonometric equations (2 classes)
• Exponential functions (2 classes)
• Logarithmic functions (2 classes)
• Laws of logarithms (1 class)
• Exponential and logarithmic equations (1 class)
• Applications of exponential and logarithmic equations (2 classes)
• Review and exams (6 classes)

MA 127 - College Algebra II

• Simplify expressions containing exponents and radicals
• Perform the four fundamental operations with radicals
• Represent complex numbers as vectors
• Perform the four fundamental operations with complex numbers in rectangular form
• Solve linear and quadratic equations
• Convert a given complex number from rectangular to polar form and vice versa
• Multiply and divide complex numbers in polar form
• Use De Moivre’s formula to find powers and roots of complex numbers
• Solve systems of quadratic equations algebraically
• Solve radical equations and equations in quadratic form
• Use synthetic division to find roots of polynomial equations
• Use the properties of determinants to evaluate a determinant of arbitrary order
• Solve linear systems by Cramer’s Rule
• Perform algebraic operations with matrices
• Use row operations to find the inverse of a given matrix and solve a given system of equations
• Use the binomial theorem to expand a given binomial
• Use the distance and midpoint formulas
• Find equations of lines

• Fundamental algebraic operations
• Special products and factoring
• Operations with algebraic functions
• Quadratic equations
• Basic concepts of trigonometry

• Exponents and radicals (3 classes)
• Algebraic expressions (5 classes)
• Factoring (2 classes)
• Linear equations and applications (3 classes)
• Quadratic equations (2 classes)
• Other equations (2 classes)
• Coordinate plane (3 classes)
• Functions (3 classes)
• Systems of linear equations (3 classes)
• Matrices (3 classes)
• Determinants (2 classes)
• Binomial Theorem (2 classes)
• Reviews and exams (7 classes)

MA 128 - Analytic Geometry and Calculus I

• Analyze and sketch the graphs of equations
• Write the equation of any conic section
• Evaluate limits
• Use the delta process to obtain the derivative of an algebraic function and interpret this process geometrically
• Write the derivative of any algebraic function using power, product, and quotient rules
• Differentiate functions implicitly
• Use the derivative in curve sketching and in solving time-rate and maximum and minimum problems
• Use the differential to approximate small changes and the relative error of the approximation
• Obtain the indefinite integrals of certain algebraic functions
• Evaluate definite integrals
• Find areas using the definite integral

• An understanding of basic algebra including algebraic fractions and radical expressions
• A knowledge of slope, distance, and equations of lines

• Basic analytic geometry (1 class)
• Curve sketching (3 classes)
• Conic sections (3 classes)
• Functions (2 classes)
• Limits (2 classes)
• The derivative (7 classes)
• Applications of the derivative (8 classes)
• The antiderivative and the definite integral (8 classes)
• Review and exams (6 classes)

MA 129 - Business Calculus

• Use functional notation in business applications
• Develop small business models
• Determine break-even points and optimal profit using algebraic methods
• Calculate the derivative of an algebraic function
• Apply the first derivative as a marginal function
• Use the first derivative for optimization
• Solve the exponential and logarithmic equations
• Use the compound interest model to calculate Future Value and Present Value
• Calculate the derivative of an exponential function
• Calculate the antiderivative of a polynomial function
• Interpret the definite integral as area
• Use the integral to calculate revenue and profit

• Properties of exponents
• Operations with polynomials
• Functions and graphs
• Solving first degree equations
• Solving second degree equations by factoring
• Solving second degree equations using the quadratic formula

• Algebra review, functions, graphs, etc. (5 classes)
• Business and economic models (4 classes)
• Vertical asymptotes and limits (3 classes)
• Derivative computations (6 classes)
• Applications of the derivative (5 classes)
• Exponential, log, compound interest (5 classes)
• Integrals (5 classes)
• Reviews (4 classes)
• Exams (3 classes)

MA 136 - Calculus for Engineers I

• Understand the Mean Value Theorem
• Evaluate the limits of algebraic, trigonometric, exponential and logarithmic functions
• Identify removable and non-removable discontinuities
• Evaluate the derivative of algebraic, trigonometric, exponential and logarithmic functions
• Find the equation of a tangent line to a curve
• Find the position, velocity and acceleration of a moving object
• Use derivatives to find relative extrema and points of inflection on a curve
• Set up and solve optimization problems
• Eet up and solve related rate problems

• Simplification of algebraic expressions containing complex fractions, exponents, and radicals
• Factoring
• Linear, fractional, and quadratic equations
• Cartesian coordinate system
• Systems of equations
• Trigonometric functions
• Trigonometric identities

• Algebra and trigonometry review (3 classes)
• Functions (3 classes)
• Limits and continuity (5 classes)
• Rates of change, tangent lines, and definition of derivative (2 classes)
• Derivatives of algebraic and trigonometric functions (6 classes)
• Derivatives of exponential and logarithmic and inverse trig functions (6 classes)
• First and second derivative tests for extrema, curve sketching (4 classes)
• Applied optimization problems (3 classes)
• Related rates problems (1 class)
• Mean Value Theorem (1 class)
• Review and exams (6 classes)

MA 136A - Calculus for Engineers I

• Understand the Mean Value Theorem
• Evaluate the limits of algebraic, trigonometric, exponential and logarithmic functions
• Identify removable and non-removable discontinuities
• Evaluate the derivative of algebraic, trigonometric, exponential and logarithmic functions
• Find the equation of a tangent line to a curve
• Find the position, velocity and acceleration of a moving object
• Use derivatives to find relative extrema and points of inflection on a curve
• Set up and solve optimization problems
• Set up and solve related rate problems

• Simplification of algebraic expressions containing complex fractions, exponents, and radicals
• Factoring
• Linear, fractional, and quadratic equations
• Cartesian coordinate system
• Systems of equations
• Trigonometric functions
• Trigonometric identities

• Algebra and trigonometry review (3 classes)
• Functions (3 classes)
• Limits and continuity (5 classes)
• Rates of change, tangent lines, and definition of derivative (2 classes)
• Derivatives of algebraic and trigonometric functions (6 classes)
• Derivatives of exponential and logarithmic and inverse trig functions (6 classes)
• First and second derivative tests for extrema, curve sketching (4 classes)
• Applied optimization problems (3 classes)
• Related rates problems (1 class)
• Mean Value Theorem (1 class)
• Review and exams (6 classes)

MA 137 - Calculus for Engineers II

• Use Newton’s method to approximate the zeros of a function
• Find the differential of a function and use it to approximate error
• Integrate algebraic, exponential, trigonometric, logarithmic and inverse trigonometric functions
• Evaluate a definite integral by the limit of Riemann sums and by Fundamental Theorem of Calculus
• Use method of substitution to find indefinite and definite integrals
• Use method of integration by parts
• Integrate products and powers of trigonometric functions
• Integrate functions using partial fractions
• Integrate functions by using trigonometric substitution
• Find areas between curves
• Find volumes of solids of revolution using disk and washer methods

• Graphing of functions
• Derivatives of algebraic, exponential, trigonometric, inverse trig and logarithmic functions
• Limits of algebraic and trigonometric functions
• Implicit derivatives
• Graphing using relative extrema

• Newton’s method of approximating zeros of a function (1 class)
• Differentials (1 class)
• Area problem and indefinite integrals (6 classes)
• The definite integral as the limit of Riemann sums and the Fundamental Theorem of Calculus (3 classes)
• Integration by substitution ( 5 classes)
• Areas between curves (2 classes)
• Rectilinear motion (1 class)
• Volumes by disk and washers (2 classes)
• Integration by parts (3 classes)
• Integration of products and powers of trig functions (2 classes)
• Integration using partial fractions (3 classes)
• Integration using trigonometric substitutions ( 1 class)
• Integration using tables (2 classes)
• Numerical integration (2 classes)
• Review and tests (6 classes)

MA 137A - Calculus for Engineers II

• Use Newton’s method to approximate the zeros of a function
• Find the differential of a function and use it to approximate error
• Integrate algebraic, exponential, trigonometric, logarithmic and inverse trigonometric functions
• Evaluate a definite integral by the limit of Riemann sums and by Fundamental Theorem of Calculus
• Use method of substitution to find indefinite and definite integrals
• Use method of integration by parts
• Integrate products and powers of trigonometric functions
• Integrate functions using partial fractions
• Integrate functions by using trigonometric substitution
• Find areas between curves
• Find volumes of solids of revolution using disk and washer methods

• Graphing of functions
• Derivatives of algebraic, exponential, trigonometric, inverse trig and logarithmic functions
• Limits of algebraic and trigonometric functions
• Implicit derivatives
• Graphing using relative extrema

• Newton’s method of approximating zeros of a function (1 class)
• Differentials (1 class)
• Area problem and indefinite integrals (6 classes)
• The definite integral as the limit of Riemann sums and the Fundamental Theorem of Calculus (3 classes)
• Integration by substitution ( 5 classes)
• Areas between curves (2 classes)
• Rectilinear motion (1 class)
• Volumes by disk and washers (2 classes)
• Integration by parts (3 classes)
• Integration of products and powers of trig functions (2 classes)
• Integration using partial fractions (3 classes)
• Integration using trigonometric substitutions ( 1 class)
• Integration using tables (2 classes)
• Numerical integration (2 classes)
• Review and tests (6 classes)

MA 183 - Transition to Advanced Topics in Mathematics

• Be proficient in elementary logic, including using truth tables to prove logical equivalence
• Manipulate logical sentences symbolically and semantically-for example, apply DeMorgan’s Law to construct denials
• Be familiar with the natural numbers, integers, rational numbers, real numbers, and complex numbers
• Be proficient in interpreting and manipulating existential and universal quantifiers
• Read and construct proofs using direct and indirect methods; choose methods appropriately
• Read and construct proofs involving quantifiers
• Be proficient in set theory including construction of sets, subsets, power sets, complements, unions, intersections, and products
• Interpret unions and intersections of indexed families of sets
• Read and construct proofs involving set theoretic concepts
• Apply the Principle of Mathematical Induction and equivalent forms
• Manipulate summations in sigma notation
• Read and construct proofs related to relations, equivalence relations, and partitions of sets
• Be familiar with functions as relations; injections, surjections, and bijections
• Construct functions from other functions-for example, compositions, restrictions, and extensions
• Read and construct proofs related to functions
• Be familiar with cardinality for finite, countable, and uncountable sets

• None

• Elementary logic with truth tables
• Quantifiers
• Methods of proof
• Set Theory
• Operations with sets including indexed families of sets
• Principle of Mathematical Induction and equivalent forms
• Cartesian products
• Relations, equivalence relations, and partitions of sets
• Functions, Surjections, Injections
• Cardinality of sets including countable sets

MA 225 - Calculus II

• Integrate the trigonometric, inverse trigonometric, exponential, and logarithmic functions which can be integrated by reversing the formula for differentiation
• Integrate the trigonometric functions which require using the Pythagorean, half-angle, or double-angle relationships before either of the above methods can be used
• Integrate by parts and by trigonometric substitution
• Find the area between two curves
• Find the approximate value of a definite integral using numerical integration
• Find the volumes generated by rotating areas under curves and volumes of revolution
• Find moments of inertia of areas about lines coincident with and parallel to the coordinate axes
• Find work done by a variable force
• Find the force against a vertically submerged surface
• Find and simplify the derivatives of the trigonometric, inverse trigonometric, exponential, and logarithmic functions and use these derivatives in curve sketching and applied problems
• Find limits by L’Hȏpital’s rule
• Find parametric equations for and arc lengths of curves in two dimensions

• Simplifying algebraic fractions
• Trigonometric identities
• Sketching curves in two-space
• Differentiation of algebraic functions

• Applications of integration (9 classes)
• Differentiation of transcendental functions (9 classes)
• L’Hȏpital’s Rule (1 class)
• Integration techniques (11 classes)
• Parametric equations and arc length (4 classes)
• Review and exams (6 classes)

MA 226 - Calculus III

• Sketch planes and quadratic surfaces in three dimensions
• Find the first and second partial derivatives and the total differential of functions of two or more variables
• Find the minimum or maximum values of functions of two variables
• Evaluate double and triple integrals
• Use double integrals to find volumes bounded by surfaces
• Find centroids and moments of inertia using double integrals
• Sketch curves in polar coordinates
• Find areas in polar coordinates
• Find volumes using cylindrical coordinates
• Test infinite series for convergence
• Find the interval of convergence for a power series
• Find the Maclaurin series for a function
• Find the series expansion of functions using the Maclaurin series of sinusoidal, exponential, and logarithmic functions
• Evaluate integrals using Maclaurin expansions of functions
• Use Maclaurin series to compute the values of functions
• Use Taylor series to compute the values of functions
• Write a Fourier series expansion for selected functions

• Algebra
• Trigonometry
• Plane analytic geometry
• Differentiation of algebraic and transcendental functions
• Integration of algebraic and transcendental functions

• No course topics have been appended

MA 227 - Differential Equations for Technologists

• None appended

• None

• None appended

MA 231 - Calculus for Engineers III

• Use L’Hȏpital’s Rule to evaluate a limit
• Evaluate improper integrals
• Find the length of the arc of a curve
• Find work, fluid pressure, and force
• Eliminate the parameter from parametric equations
• Draw graphs of parametric equations and determine the direction of travel for an increasing parameter
• Find first and second derivatives of parametric functions
• Find the arc length for parametric curves
• Convert between rectangular and polar coordinates
• Draw graphs of polar curves
• Find area and arc length in polar coordinates
• Perform operations using vector algebra
• Find dot products, cross products, and equations of lines and planes in three dimensions
• Sketch surfaces in three dimensions
• Find first and second partial derivatives
• Find the total differential of a function of more than one variable and use it to approximate error
• Use chain rules to find derivatives and partial derivatives
• Find implicit partial derivatives
• Determine the maximum, minimum, and saddle points on a surface

• The basic principles of algebra
• The basic principles of trigonometry
• Differentiation and integration of algebraic and transcendental functions
• Limits
• Understanding of the definition of the definite integral

• L’Hȏpital’s Rule (2 classes)
• Improper integrals (3 classes)
• Arc length (1 class)
• Work (2 classes)
• Fluid pressure and force (2 classes)
• Parametric equations (2 classes)
• Polar coordinates and graphs (3 classes)
• 3-Space Vectors, lines, and planes (6 classes)
• Surfaces in three dimensions (3 classes)
• Functions of several variables (1 class)
• Partial derivatives (6 classes)
• Extrema of functions of two variables (2 classes)
• Review and exams (7 classes)

MA 232 - Calculus for Engineers IV

• Set up and evaluate double integrals using rectangular and polar coordinates
• Find areas, volumes, and moments using double integrals
• Set up and evaluate triple integrals
• Use triple integrals to find volumes and moments of solids
• Use integrals in cylindrical or spherical coordinates to find volumes and moments
• Test sequences for convergence and divergence
• Test infinite series for convergence and divergence
• Find the interval of convergence for a power series
• Perform algebraic and calculus operations on power series
• Use Taylor and Maclaurin series to approximate functions

• The basic principles of algebra
• The basic principles of trigonometry
• Differentiation and integration of algebraic and transcendental functions
• Applications of integration
• Integration techniques
• L’Hȏpital’s Rule
• Functions of several variables
• Partial derivatives
• Limits and improper integrals
• Parametric equations
• Polar coordinates

• Double integrals, area, volume, and moments (5 classes)
• Triple integrals, volume, moments, cylindrical and spherical coordinates (7 classes)
• Sequences (1 class)
• Infinite series and tests for convergence (3 classes)
• Power series and intervals of convergence (4 classes)
• Taylor and Maclaurin series (3 classes)
• Review and exams (7 classes)

MA 235 - Differential Equations for Engineers

• Determine the solution of first-order differential equations by the method of separation of variables
• Determine the solution of first-order differential equations having homogeneous coefficients
• Determine the solution of exact first-order differential equations
• Determine appropriate integrating factors for first-order linear differential equations
• Apply and solve first-order differential equations of selected physical situations
• Determine the general and particular solutions of higher-order linear homogeneous differential equations with constant coefficients
• Determine the general and particular solutions of certain nonlinear second-order homogeneous differential equations with constant coefficients using the methods of Undetermined Coefficients and Variation of Parameters
• Apply and solve second-order differential equations of selected physical situations
• Determine the Laplace transform of selected elementary functions (such as polynomials and exponential and trigonometric functions having linear arguments)
• Determine a function having a given Laplace transform. That is, determine the inverse Laplace transform of a function
• Solve linear differential equation of various orders using the method of Laplace transforms

• Determinants
• Solution of algebraic equations
• Limits including L’Hopital’s Rule
• Differentiation of algebraic and transcendental functions
• Integration (especially improper and the method of partial fractions)
• Factoring of polynomials

• Basic concepts (1 class)
• Solution of first-order differential equations by separation of variables (2 classes)
• Solution of exact equations (2 classes)
• Solution of first-order linear differential equations (2 classes)
• Solution of first-order differential equations using numerical methods (1 class)
• Solution of physical situations that can be modeled by first-order differential equations (2 classes)
• Solution of higher order homogeneous differential equations with constant coefficients (3 classes)
• Solution of non-homogeneous higher-order differential equations using the method of Undetermined Coefficients (2 classes)
• Solution of non-homogeneous higher-order differential equations using the method of Variation of Parameters (2 classes)
• Solution of physical situations that can be modeled by higher-order differential equations (5 classes)
• Introduction of Laplace transforms (1 class)
• Laplace transforms of elementary functions (2 classes)
• Inverse Laplace transforms (2 classes)
• Solution of linear differential equations with constant coefficients using Laplace transforms (3-4 classes)
• Applications of Laplace transforms (2 classes)
• Exams (3 classes)

MA 262 - Probability and Statistics

• Be familiar with the terminology and nomenclature of both probability and statistics
• Know the difference between a parameter and a statistic
• Know the difference between a population and a sample
• Understand the basic concepts and properties of probability
• Understand the meaning and significance of the standard deviation
• Calculate the mean and variance of probability distributions
• Be familiar with, and able to calculate probabilities of, the binomial, Poisson, Normal, Student-t, Chi-square, and F distributions
• Construct appropriate confidence intervals for population parameters
• Have a basic familiarity with the Central Limit Theorem and realize that it affects the calculations of test values and confidence intervals
• Perform hypothesis tests concerning the means, variances, and proportions of one or two populations
• Perform hypothesis tests concerning the comparison of means of more than two populations

• Algebra
• Trigonometry
• Differentiation of algebraic and transcendental functions
• Integration of algebraic and transcendental functions

• Measures of central tendency and dispersion (2 classes)
• Introduction to probability and the laws of probability (2 classes)
• Discrete probability distributions: binomial and Poisson (4 classes)
• Introduction to the Central Limit Theorem (1 class)
• Continuous probability distributions: normal, t, chi-square, and F (3 classes)
• One-sample hypothesis testing and statistical inference (5-6 classes)
• One-sample confidence intervals and statistical inference (2-3 classes)
• Two-sample confidence intervals and statistical inference (3 classes)
• Two-sample hypothesis testing and statistical inference (4 classes)
• Analysis of variance (3 classes)
• Exams (2 classes)

MA 315 - Nursing Statistics

• Understand basic statistical terminology
• Produce data through sampling and experimental design
• Classify data by type
• Produce several methods of visually displaying data
• Compute measures of central tendency and measures of dispersion
• Understand the meaning, calculation and interpretation of linear regression and correlation results
• Have a basic understanding of the normal distribution and its application to appropriate statistical situations
• Have a basic understanding of the concepts of sampling error and sampling distributions
• Have an understanding as to the construction of confidence intervals for the population mean and the importance of the Student-t distribution to the construction of such confidence intervals
• Have an understanding concerning the performance of hypothesis tests for the mean of a single population.
• Have an understanding relating to inferences for the comparison of two population means
• Have a basic understanding with respect to the use of the chi-square distribution in goodness of fit and tests for independence calculations

• Simplification of algebraic expressions containing fractions, exponents and radicals
• Factoring
• Linear and quadratic equations
• Cartesian coordinate system
• Systems of equations

• Descriptive and inferential statistics introduction and discussion (5 classes)
• Linear regression (2 classes)
• The normal distribution and its use in statistics (3 classes)
• The Central Limit Theorem and its importance to statistics (2 classes)
• Confidence intervals for the population mean (3 classes)
• Types of statistical errors 
• Hypothesis testing (8 classes)
• Chi-square situations (2 classes)
• Analysis of variance (~2 classes)
• Exams (2 classes)

MA 327 - Mathematical Modeling

• Calculus (single and multivariable), differential equations, probability and statistics.