Industrial and Systems Engineering

Industrial and systems engineering is concerned with the study and design of integrated systems of people, materials, equipment, and their interaction with the surrounding environment. Historically, this field developed in the manufacturing industries where industrial engineers applied their engineering knowledge and management techniques to design and efficiently operate industrial and business systems. But the advent of the modern information technology enabled industrial engineers to apply their quantitative methods and organizational skills to a multitude of large-scale systems in addition to industrial systems. Today, industrial and systems engineers are being called upon, with increasing frequency, to design and improve the performance of systems in a wide spectrum of fields such as service, energy, transportation, finance, and health care. Thus, their scope is not limited to tackling industrial problems alone but extends to finding solutions for the endless variety of problems of modern industrial society.

The field of study bridges engineering knowledge, management principles, physical and social sciences, and the life sciences. Simply put, it stresses the scientific and technological approach to the design, development, and the optimal operation of both large-scale and small-scale systems. The industrial and systems engineer is a versatile expert whose talents are vigorously sought, and will be for a long time to come, by various sectors of society.

Undergraduate Degree Program

The Bachelor of Science Engineering in Industrial & Systems Engineering first provides a strong basis in the foundations of engineering: natural and physical sciences, mathematics, socioeconomic-cultural background, the behavioral sciences, and the basic engineering sciences which begin the emphasis on problem solving. Then, the program develops the intermediate bases on which industrial systems and other systems engineering work is founded. This includes studies in production and operations management, systems engineering, lean concepts, quality engineering methods, system modeling, simulation and optimization, organization and decision theory, and human factors engineering. Contemporary operations research and system engineering and analysis methods are progressively developed and applied through systems-design case studies ending with a capstone design experience.

An opportunity is available to obtain considerable practical experience in the student’s specialty for those who elect the cooperative education option.

Students who do well in their undergraduate program are encouraged to consider graduate work and may take some of their electives in preparation for graduate study. Information and assistance regarding fellowships and assistantships for graduate study may be obtained from the department chairperson.

Industrial and Systems Engineering majors may also pursue a dual Bachelor of Science Engineering in Manufacturing Engineering and thus can earn two Bachelor of Science Engineering degrees at the same time:

  • Bachelor of Science Engineering in Industrial and Systems Engineering
  • Bachelor of Science Engineering in Manufacturing Engineering.

This requires a minimum of 15 credits of additional and separate courses beyond the 128 credits required for a Bachelor of Science Engineering in Industrial and Systems Engineering alone. Both degrees must be earned at the same time. 

The Bachelor of Science in Engineering in Industrial and Systems Engineering is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org

Program Educational Objectives

Consistent with providing a strong academic foundation in the field of Industrial and Systems Engineering, the program educational objectives for our graduates are:

  • To remain gainfully employed in Industrial and Systems Engineering related fields,
  • To continue to develop professionally, and
  • To serve in leadership roles.

Student Outcomes

To achieve the educational objectives, the graduates of the program will have:

  1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
  3. An ability to communicate effectively with a range of audiences.
  4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
  5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
  6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Dearborn Discovery Core

Please see the Dearborn Discovery Core (General Education) webpage or additional information.

Foundational Studies

Writing and Communication (GEWO) – 6 Credits

Upper-Level Writing Intensive (GEWI) – 3 Credits

Quantitative Thinking and Problem Solving (GEQT) – 3 Credits

Critical and Creative Thinking (GECC) – 3 Credits

Areas of Inquiry

Natural Science (GENS) – 7 Credits

  • Lecture/Lab Science Course
  • Additional Science Course

Social and Behavioral Analysis (GESB) – 9 Credits

Humanities and the Arts (GEHA) – 6 Credits

Intersections (GEIN) – 6 Credits

Capstone

Capstone (GECE) – 3 Credits

Major Requirements

A candidate for the degree Bachelor of Science in Engineering (Industrial and Systems Engineering) is required to pursue scholastic quality and to complete satisfactorily the following program of study:

In addition to completion of the Dearborn Discovery Core, the following courses are required to earn a BSE degree in Industrial and Systems Engineering from UM-Dearborn. 

Prerequisite Courses
COMP 270Tech Writing for Engineers (Also fulfills 3 credits of DDC Written and Oral Communication)3
ECON 201Prin: Macroeconomics (ECON 201 or 202 also fulfill 3 credits of DDC Social and Behavioral Analysis)3
or ECON 202 Prin: Microeconomics
MATH 115Calculus I4
MATH 116Calculus II4
MATH 215Calculus III4
MATH 228Diff Eqns with Linear Algebra4
CHEM 134/144General Chemistry IA4
CHEM 136/146General Chemistry IIA4
or BIOL 140 Intro Molec & Cellular Biology
PHYS 150General Physics I4
PHYS 151General Physics II4
ENGR 100Introduction to Engineering and Engineering Design 3
ENGR 126Engineering Computer Graphics2
ENGR 250Principles of Eng Materials3
IMSE 255Computer Programming for Eng3
ME 265Applied Mechanics4
or ME 260 Design Stress Analyses
ECE 305Intro to Electrical Eng4
Industrial and Systems Engineering Major Core
IMSE 3005Intro to Operations Research4
IMSE 317Eng Probability and Statistics3
IMSE 382Manufacturing Processes4
IMSE 421Eng Economy and Dec Anlys3
IMSE 440Applied stat models in engin3
IMSE 4425Human Factors and Ergonomics4
IMSE 4555Systems Engineering: Processes, Methods and Practice4
IMSE 4585Simulation in Systems Design4
IMSE 4675Six Sigma & Stat Proc Improv4
IMSE 4745Facilities Design4
IMSE 4795Prod, Inven Control & Lean Mfg4
IMSE 4951Design Project I2
IMSE 4952Design Project II2
Focus Area Electives
Select minimum 8 credits from the following:8
Financial Accounting
Managerial Accounting
Database Mgmt Systems
Design Thinking : Process, Method & Practice
Appl Business Tech for Engr
Experiential Honors Prof. Prac
Exper Honors Directed Research
Exper Hnrs Dir Dsgn
Entrepreneurial Thinking&Behav
Data Struc & Algorithm Anlysis
Industrial Robots
Human Computer Interaction for UI & UX Design
Industrial Controls
Comp.-Aided Prcs Desgn & Mfg
Design for Assembly & Mfg
The Legal Environment of Bus
Mktg Principles and Policies
Behavior in Organizations
Management Skills Development
Organizational Change & Devlp
General Electives
Select 3 credit hours3
Focus Area and General Electives must total minimum of 11 credits

Dual Degree in Manufacturing Engineering

Please see the requirements for the BSE, Industrial and Systems Engineering/Manufacturing Engineering in the Dual Degrees section of this catalog.

Learning Goals

  1. An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  2. An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors.
  3. An ability to communicate effectively with a range of audiences.
  4. An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
  5. An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives.
  6. An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
  7. An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

IMSE 255     Computer Programming for Eng     3 Credit Hours

Intermediate topics in computer programming: arrays, files, structured data types, pointers, functions. Overview of digital computer hardware and system software components: machine architecture, operating systems, computer networks, data security, and performance evaluation.

Prerequisite(s): ENGR 100 or MATH 105 or Mathematics Placement with a score of 113

IMSE 299     Internship/ Co-Op     1 Credit Hour

This is a Cooperative Education course. Students wishing to experience a work experience before graduation may elect to participate in the Cooperative Education Program (minimum of two terms). (F,W,S).

Restriction(s):
Can enroll if Class is Junior or Senior or Graduate

IMSE 3005     Intro to Operations Research     4 Credit Hours

This course introduces some basic techniques or operations research used in decision making and system performance evaluation in both deterministic and probabilistic environments. Topics in linear programming, especially the simplex method with duality theory and sensitivity analysis is included. Other topics include integer programming, deterministic dynamic programming, network problems, PERT-CPM, discrete-time and continuous-time Markov chain models of random processes, queuing theory and applications. (F, YR).

Prerequisite(s): (MATH 217 or MATH 227 or MATH 228) and IMSE 317*

IMSE 317     Eng Probability and Statistics     3 Credit Hours

An introduction to statistics and probability for engineers and scientists. Topics include descriptive statistics and data visualization, set theory, permutations and combinations, Bayes’ theorem, independence, discrete and continuous random variables, conditional and joint probability, central limit theorem, point estimation, confidence intervals, hypothesis testing, and hands-on experience with analytics software. Three hours lecture. (F, W, S).

Prerequisite(s): MATH 116 or Mathematics Placement with a score of 215 or MATH 114

IMSE 334     Org of Hospital Systems     3 Credit Hours

The fundamental concepts of organizational behavior are explored. The interrelationships among personnel in an organization, and the functions and responsibilities of individuals are discussed. Topics studied include decision-making theory, organizational authority and adjunct responsibility, leadership and supervision. Particular emphasis is placed upon hospitals and the health care industry. Lectures are supplemented with actual case studies from the health care industry in which the student has the opportunity to apply problem-solving techniques to true-to-life situations. Three hours lecture.

Restriction(s):
Can enroll if Class is Junior or Senior or Graduate

IMSE 350     Data Structures     4 Credit Hours

This course focuses on data design and algorithm designs. Data design topics include object-oriented discussions of hashing, advanced tree structures, graphs and sets. Algorithm design topics include the greedy, divide-and-conquer, dynamic programming, backtracking, and branch-and-bound techniques. A significant discussion of algorithm complexity theory, including time and space trade-off and elementary computability theory is included.

Prerequisite(s): MATH 115 and (CIS 200 or IMSE 200) and CIS 275

IMSE 351     Data Struc & Algorithm Anlysis     3 Credit Hours

Object-oriented design, programming, and analysis techniques review; structured programming concepts; data structures; algorithm design and analysis; lists, stacks, and queues; heaps, sorting, trees, graphs, and algorithm development utilizing modern languages, such as C++, Java.

Prerequisite(s): IMSE 255 or CIS 150 or IMSE 150 or CCM 150

IMSE 381     Industrial Robots     4 Credit Hours

The course introduces students in engineering and computer science to fundamentals of robotics technology, programming and their applications in industrial environment. The emphasis will be on robotics anatomy and configurations, robotocs kinematics, end effectors, use of sensors in robotics, robotics programming, design of robot workcell, robotics applications to production problems, cost justifications and robotics safety, rather than on the extensive theory of robotics. Three-hour lecture and three-hour laboratory per week.

Prerequisite(s): MATH 115

Restriction(s):
Can enroll if Class is Junior or Senior

IMSE 382     Manufacturing Processes     4 Credit Hours

This course introduces the students to the fundamentals and principles of manufacturing processes for engineering materials. It seeks to transfer an understanding of the application of principles of engineering materials and their influence on manufacturing processes. Topics covered include structure and manufacturing properties of metals, casting, heat treatments, bulk deformation processes, sheet metal working processes, processing of polymers and composites, surfaces and coating, powder metallurgy, machining and joining. Case studies of design for manufacturing and measurement of product quality; economical aspects and cost considerations in manufacturing systems will be studied. Three lecture hours and three laboratory hours.

Prerequisite(s): ENGR 250 and (ME 265 or ME 260)

Corequisite(s): IMSE 382L

IMSE 390     Selected Topics I     3 Credit Hours

Study of topics selected from any of the areas of Industrial and Systems Engineering. May include design or laboratory research.

IMSE 391     Selected Topics II     3 Credit Hours

Study of Advanced topics selected from any of the areas of Industrial and Systems Engineering. May include design or laboratory research.

IMSE 398     Independent Study in IMSE     1 to 3 Credit Hours

Individual study design or laboratory in an area of interest to the student. Contents may be chosen from any of the areas of Industrial and Manufacturing Engineering. The student will submit a report on his or her project at the end of the term. Written permission of the instructor required. (F,W,S).

Restriction(s):
Cannot enroll if Class is Freshman or Sophomore or Graduate
Can enroll if College is Engineering and Computer Science

IMSE 399     Internship/ Co-Op     1 Credit Hour

A four-month professional work experience period of the Engineering Internship Program, integrated and alternated with the classroom terms.

Restriction(s):
Can enroll if Class is Junior or Senior or Graduate

IMSE 400     Programming Languages     4 Credit Hours

Systematic study of programming languages with regard to their implementation, structures, and use. Languages are compared with regard to their various data types, data structures, operations, control structures, programming environments, and ease of use in solving various programming problems.

Prerequisite(s): IMSE 350 or CIS 350 or CCM 350

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 421     Eng Economy and Dec Anlys     3 Credit Hours

Study of the concepts involved in the analysis of engineering management decisions, both short and long term. Time valued investments and the effects of depreciation and taxes in comparing alternatives are discussed. Specific attention is devoted to deterministic and probabilistic replacement policies for single and chain replacements of equipment. Basic elements of utility theory are introduced. Applications of decisions under risk, uncertainty, and of game theory to capital investment, bidding, and to competitive decisions are included.

Restriction(s):
Can enroll if Class is Junior or Senior or Graduate

IMSE 437     Health Care Management     3 Credit Hours

This course is intended for those who have to deal with the administrative aspects of health care systems and not only the technical. The goal of the course is to provide the hospital staff member with an understanding of operations of the total hospital system. Topics covered include functions, problems, and organization of the medical agencies and their effect upon hospitals; methods of nursing staff organization; techniques of determining nursing staff levels; development of staff schedules; financial reimbursement and governmental regulations.

Restriction(s):
Can enroll if Class is Junior or Senior or Graduate

IMSE 440     Applied stat models in engin     3 Credit Hours

Full Course Title: Applied statistical models in engineering The course provides students with considerable experience to flexibly work with Linear Regression Models and Design of Experiments. With the growth of automated systems, data analysis became an essential tool in engineering. The first part of the course introduces students to Simple Linear Models, Multiple Linear Models, Model Evaluation, Model Diagnosis, Analysis of Variance, Residual Analysis, and Model Selection. The second part of the course introduces students to Design of Experiments and commonly used designs such as the Completely Randomized Design, Randomized Complete Block Design, and Latin Squares Design. The course also provides the students with experience handling data for engineering applications via in-class activities and assignments. Student teams complete a major data analysis project to answer a set of engineering questions and challenges. (YR)

Prerequisite(s): IMSE 317 or BENG 364 or ME 364

Restriction(s):
Can enroll if College is Engineering and Computer Science

IMSE 4425     Human Factors and Ergonomics     4 Credit Hours

The course integrates the elements of traditional methods of engineering and time-motion studies with ergonomics and human factors concepts. Methods improvement, work measurement, and work design, applied to manufacturing and service industries, so as to increase productivity and improve worker health and safety. The topics covered include: problem solving tools; operation analysis; time-motion analysis; work sampling; manual and cognitive work design; workplace, equipment, tool and work environment design; allowances; and lean manufacturing. Lectures and laboratory. (YR)

Prerequisite(s): IMSE 317 or BENG 364

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 450     Operating Systems     4 Credit Hours

Introduction to computer operating systems. Process management, CPU scheduling, memory management, file systems and I/O devices. Advanced topics, e.g., multiprogramming and multitasking, virtual memory, deadlock, I/O, job scheduling, and performance analysis using queueing models, will be introduced. Case studies of modern operating systems. A design project is required.

Prerequisite(s): CIS 310 or (CIS 350 or CIS 3501 or IMSE 350 or (ECE 370 and MATH 276) or (ECE 276 and ECE 370)) and IMSE 317*

IMSE 451     Computer Graphics     3 Credit Hours

Basic geometrical concepts: graphics output primatives, two-dimensional transformations, windowing and clipping, three-dimensional viewing, visible surface detection methods, and graphical user interfaces. (F).

Prerequisite(s): (MATH 217 or MATH 227 or MATH 228) and ((CIS 350 or CIS 3501 or IMSE 350) or (ECE 370 and MATH 276) or (ECE 370 and ECE 276))

IMSE 4545     Information Systems Design     4 Credit Hours

Role of information systems in organizations. Economic factors and social impact of information systems. Phases to design an information system: systems objectives and criteria establishment, fact investigation and analysis, feasibility study, output-input design, processing design, file and database design, safety and reliability considerations, detailed systems description, programming specifications, testing analysis and design skills will be assigned. A series of cases will be used in developing an information system. SQL will be used to develop data tables and access information. Three lecture hours and one three-hour laboratory. (W)

Prerequisite(s): IMSE 255 or CIS 205

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 4555     Systems Engineering: Processes, Methods and Practice     4 Credit Hours

This course focuses on the process of bringing systems into being. It introduces the concept of systems thinking and offers an examination of the principles of systems engineering and their application across the system life cycle. Special emphasis is given to systems engineering process, systems life cycle models, systems analysis and design evaluation, configuration management, the analysis of alternatives, costs analysis and project planning, risk analysis and models in decision making. Integration of engineering problem solving methodologies based on systems concepts are also covered in this class. Case studies are used throughout the course. Student teams work on product and service system design projects. (F, W).

Prerequisite(s): IMSE 3005

Corequisite(s): IMSE 4425, IMSE 4585

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 456     Intro to Data Base Systems     4 Credit Hours

An introduction to database system concepts and techniques. Topics covered include database environments, ER modeling, relational data model, object-oriented database, object-relational database, database design theory and methodologies, database languages, query processing and optimization, concurrency control, database recovery, and database security.

Prerequisite(s): CIS 350 or CIS 350A or IMSE 351 or (ECE 370 and MATH 276)

IMSE 457     Compiler Design     3 Credit Hours

The design and construction of compilers and programming systems. Lexical scan; parsing techniques; code generation and optimization. Run-time organization; storage allocation. Applications of formal language theory in compiler design. Translator writing systems; XPL. Three one-hour lectures.

Prerequisite(s): IMSE 350 or CIS 350 or CCM 350

IMSE 4585     Simulation in Systems Design     4 Credit Hours

This course introduces digital simulation as a design and modeling tool. The fundamental techniques of constructing a simulation model and evaluating the results are studied. A computer simulation software is used (such as ARENA, ProModel, Witness, Simul8). Topics include random number and random variate generation, input and output data analysis, design of experiments and optimization of simulated systems, verification and validation, discrete and continuous simulation models, comparison of simulation modeling software, and applications of simulation in different industries. Students are asked to select problems of interest and present final project reports. Four lecture hours. (YR)

Prerequisite(s): IMSE 317 and IMSE 3005*

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 4675     Six Sigma & Stat Proc Improv     4 Credit Hours

Review of graphical methods, probability theory and statistics (stem-and-leaf plots, histograms, scatter diagrams, counting methods, axioms of probability, common discrete and continuous probability models, expectation, linear combinations, estimation, sampling distributions, confidence intervals, hypothesis testing, and A vs. B type of experimentation for both unpaired and paired data); introduce quality terminology in manufacturing and service industry contexts, study the theory, design and application of common statistical process control models for variables and attributes; study process capability and gauge and measurement capability methods; study the design and analysis, both graphical and analytic, of statistically designed experiments (one-way completely randomized designs, and randomized, complete block designs); study the application and analysis of two-level, factorial and fractional factorial designs. Learn to apply and interpret analysis of variance to above situations. Extensive analytic homework and applications used throughout course to motivate material. Each student completes an individual project of his/her own design, subject to instructor approval, entailing a modeling application or controlled experiment where the student collects the data. Four hours lecture. (YR)

Prerequisite(s): IMSE 317

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 4745     Facilities Design     4 Credit Hours

Analysis, planning and design of physical facilities utilizing research, engineering and economic principles. Synthesis of physical equipment and workers into an integrated system for either service or manufacturing activities. Design of material handling and storage systems. Layout of lean manufacturing facilities. Design of atmospheric, electrical, lighting, and life safety systems for a facility. Students are required to select problems of interest and present design project reports. (F)

Prerequisite(s): IMSE 3005*

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 477     Human Computer Interaction for UI & UX Design     3 Credit Hours

This course introduces current theory and design techniques concerning how user interfaces (UI) and user experience (UX) should be designed and assessed to be easy to learn and use, in terms of human-centered design. The course includes four general modules: 1) Introduction of HCI & UX; 2) Interface/Interaction Design Strategy; 3) Advanced Issues in HCI; and 4) Evaluation Methods. (F).

IMSE 4795     Prod, Inven Control & Lean Mfg     4 Credit Hours

Study of concepts involved in forecasting demand, inventory control, MRP, JIT production, lean manufacturing, aggregate scheduling, and project management. The application of mathematical programming techniques, bottleneck analysis, and lean techniques such as value stream mapping, error proofing, cellular manufacturing, etc. are used in design and analysis of production systems. Use of the computer programs in the design and analysis of such systems. Students are asked to select problems of interest and present final project reports. (W).

Prerequisite(s): IMSE 317 or BENG 364 or ME 364

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 4815     Manufacturing Process II     4 Credit Hours

This course introduces the students to machining processes, metal forming processes and molding and forming of plastics. Metal cutting theory is emphasized including the mechanics of metal cutting, cutting tools, measurement of tool life, selection of cutting conditions, and chip control; theory and applications of non-traditional manufacturing processes. Metal forming theory is emphasized including formability of metals; analysis of bulk and sheet metal forming processes as applied to practical cases such as automobile manufacturing. Basic principles of plastic molding and forming processes of plastics, ceramics and composites. (W)

Prerequisite(s): IMSE 382 or ME 381

Corequisite(s): IMSE 4675

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 4825     Industrial Controls     4 Credit Hours

This course introduces the basics of calibration, error analysis, and dynamic response characteristics of instrumentation. Fundamentals of metrology include linear and angular measurements, standards, gauges, machine tool accuracy, and automation of inspection processes. The course also introduces the principle aspects of computers and their applications in system control, as well as principles of automation with emphasis on manufacturing industries. Discussion of the hardware and software associated with this task and other topics such as integrated systems modeling, sensor technologies, digital and analog signal processing and control, and information communication are also included. Laboratory exercises and projects are required. (F)

Prerequisite(s): ME 265

Corequisite(s): ECE 305

Restriction(s):
Can enroll if Level is Undergraduate
Can enroll if College is Engineering and Computer Science

IMSE 4835     Comp.-Aided Prcs Desgn & Mfg     4 Credit Hours

This course focuses on the fundamentals of component and system designs through the use of Computer-Aided Design (CAD) tools. Issues related to the manufacture of molds, jigs and fixtures are also introduced and Computer-Aided Manufacturing (CAM) tools are used as means for the production of these machine components. The principles of design for manufacture and assembly as applied to tool and machine design are also discussed. Computer-Aided Process Planning (CAPP) tools, flexible manufacturing systems, and information flow in manufacturing systems are also presented. Hands-on experiments and course projects are required. (W)

Prerequisite(s): IMSE 382 or ME 381

Restriction(s):
Can enroll if Class is Senior
Can enroll if Level is Undergraduate

IMSE 484     CA Machine and Tool Design     3 Credit Hours

Study of the fundamentals of machine tool design, cutting tools, metal forming dies, and jig fixtures for practical applications in machining and assembly. Principles of design for manufacture and assembly as applied to tool and machine design. Laboratory exercises and projects are required using computer-aided design software. Two lecture hours and three laboratory hours.

Prerequisite(s): IMSE 382 or ME 381

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 486     Design for Assembly & Mfg     3 Credit Hours

This course will cover topics in manufacturing with emphasis on the parallel product design and selection of specifications for processes. Topics included are the principles of concurrent engineering, geometric dimensioning and tolerancing (GD&T), process engineering, process planning, cost estimating, and design for manufacturing. Projects using computer tools are required on a team-oriented basis.

Prerequisite(s): IMSE 382

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 488     Metal Forming Processes     3 Credit Hours

This course focus is on fundamentals of metal forming processes; mechanics of metal forming; formability of materials; tool and die design; design for manufacture; and economic aspect of the process. Emphasis is placed on analysis of bulk and sheet metal forming processes as applied to practical cases such as automobile manufacturing. Laboratory and course project are required.

Prerequisite(s): IMSE 382

Restriction(s):
Can enroll if Level is Undergraduate

IMSE 489     Robotics Systems Simulation     3 Credit Hours

The course emphasizes the fundamentals of the design of robotics systems with the aid of robot simulation technology; structure and basic components of robots and robotics manufacturing workcells; control, kinematics, and dynamics of robots and manufacturing devices; robot accuracy and calibration of robot motion; applications of robots in manufacturing such as spot welding, arc welding, machining, assembly and CMM; robot simulation software such as ROBCAD or IGRIP. Course project is required. Available for graduate credit. (YR)

Restriction(s):
Can enroll if Class is Senior or Graduate

IMSE 490     Selected Topics     3 Credit Hours

Individual or group study, design or laboratory research in a field of interest to the student. Topics may be chosen from any of the areas of industrial and systems engineering including management, work measurement, methods, organization, industrial sciences, industrial mathematics, systems and procedures. If preliminary arrangements are made, the work internship periods can be used to formulate the problem and gather data. Completion of the analysis and submission of a report shall be done during the academic periods under the supervision of a faculty member or members. The student should be prepared for both a written and oral presentation of the report. This course is highly recommended as a technical elective. Permission of department.

IMSE 491     Directed Studies in IMSE     1 to 3 Credit Hours

Group study of contemporary topics in industrial and systems engineering and general systems design. Course may be elected for credit more than once under different instructors. Permission of department.

IMSE 4951     Design Project I     2 Credit Hours

Design of a system to produce or service using knowledge gained in previous courses in the program. Two two-hour lecture/lab periods. (F, W).

Prerequisite(s): IMSE 4795* or IMSE 4585* and (COMP 270* or COMP 106* or COMP 220*)

Restriction(s):
Can enroll if Class is Senior
Can enroll if Level is Undergraduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Industrial & Systems Engin, Manufacturing Engineering,

IMSE 4952     Design Project II     2 Credit Hours

Design of a system to produce or service using the knowledge gained in previous courses in the program. It is the continuation of the project started in Design Project I course. (F, W).

Prerequisite(s): IMSE 4951

Restriction(s):
Can enroll if Class is Senior
Can enroll if Level is Undergraduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Industrial & Systems Engin, Manufacturing Engineering,

IMSE 4953     Design Project in Mfge     1 Credit Hour

Design of a manufacturing system to produce product using the knowledge gained in previous courses in the program. (F,W,S)

Prerequisite(s): ENGR 400*

Corequisite(s): ME 4671

Restriction(s):
Can enroll if Class is Senior
Can enroll if Level is Undergraduate
Can enroll if College is Engineering and Computer Science
Can enroll if Major is Manufacturing Engineering, Mechanical Engineering

IMSE 498     Guided Study in IMSE     1 to 3 Credit Hours

Individual study, design, or laboratory research in a field of interest to the student. Content may be chosen from any of the areas on industrial and manufacturing engineering. The student will submit a report on his or her project at the close of the term. Permission of department. (F,W,S).

Restriction(s):
Cannot enroll if Class is Freshman or Sophomore
Can enroll if Level is Undergraduate
Can enroll if College is Engineering and Computer Science

IMSE 499     Internship/ Co-Op     1 Credit Hour

A four-month professional work experience period of the Engineering Internship Program, integrated and alternated with classroom terms.

Restriction(s):
Can enroll if Class is Senior
Can enroll if Level is Undergraduate

*An asterisk denotes that a course may be taken concurrently.

Frequency of Offering

The following abbreviations are used to denote the frequency of offering: (F) fall term; (W) winter term; (S) summer term; (F, W) fall and winter terms; (YR) once a year; (AY) alternating years; (OC) offered occasionally