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Schedule of Classes

 

Summer Session I 2021

 

Industrial & Manufacturing Engineering
Joseph Chen • BECC 4236 • 309-677-2740
IME314Operations Research II (3 hours)
Prerequisite: Minimum grade of C in IME 311, 313
 01 Arr  ONLONL Fariborz Fred Tayyari Online Course
IME422Manufacturing Quality Control (3 hours)
Prerequisite: IME 311 with C or better or consent of instructor
 01 MTWT2:00 PM -3:30 PM ONLONL Ye Li Online Course
IME468Engineering Analytics 1 (3 hours)
Prerequisite: IME 110
 01 Arr  ONLONL John Yoo Online Course
 Asynchronous online
IME481Lean Production Systems (3 hours)
Prerequisite: IME 301; IME466 or IMT 366; or consent of instructor
 01 MTWT12:30 PM -2:30 PM ONLONL Joseph Chen Online Course
IME514Introduction to Operations Research (3 hours)
Prerequisite: Consent of instructor. Not open to students with credit in IME 313 and 314.
 01 Arr  ONLONL Fariborz Fred Tayyari Online Course
IME522Manufacturing Quality Control (3 hours)
Prerequisite: One semester of statistics or consent of instructor. Not open to students with credit in IME 422
 01 MTWT2:00 PM -3:30 PM ONLONL Ye Li Online Course
IME568Engineering Analytics 1 (3 hours)
Prerequisite: One semester of computer programming and one semester of statistics, or consent of instructor.
 01 Arr  ONLONL John Yoo Online Course
 Asynchronous online
IME699Thesis (0 to 6 hours)
Prerequisite: Unconditional status, 3.25 GPA with at least 15 hours earned, and consent of graduate coordinator
 01 *R* Arr     Ye Li Online Course
 
Probabilistic models of operations research: inventory theory, Markov chains, queuing theory, and simulation.
Analysis of factors affecting product quality during manufacturing; process control charts; process capability studies; error of measurement; sampling plans; motivation programs; quality audit; organization. Cross listed with IME 522.
Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 568.
This course reviews the principles and concepts required for integrated production System in order to meet customer demand in production, quality, on-time delivery, and continuously reducing manufacturing cost. Emphasis is placed on applying lean manufacturing principles, simulation techniques, and Kaizen methodologies through hands-on projects. Cross listed as IME 581.
Mathematical model building and use of deterministic and non-deterministic tools in problem solving. Problem solving structure, linear programming, transportation and assignment algorithms, game theory, networks, branch and bound algorithms, dynamic programming, deterministic and stochastic inventory models, markov chains, queueing theory and simulation.
Analysis of factors affecting product quality during manufacturing; process control charts; process capability studies; error of measurement; sampling plans; motivation programs; quality audit; organization. A research paper required. Cross listed with IME 422
Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 468.
Required of students choosing thesis option. Total of six hours to be taken; any semester after six hours, the student must register for zero hours to maintain progress.
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