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Schedule of Classes

 

Summer Session II 2018

 

Industrial & Manufacturing Engineering
Joseph Chen • Morgan Hall 110 • 677-2740
IME200Engineering Co-Op (0 hours)
Prerequisite: sophomore standing in the College of Engineering and Technology, 2.0 overall grade point average at Bradley, approval of engineering and technology Co-op coordinator and Co-op advisor.
 01 Arr     Julie Reyer  
IME301Engineering Economy I (3 hours)
Prerequisite: MTH 121 or IMT 212
 01 MTWT2:00 PM -4:00 PM MOR306 Saeed Saboury  
IME331Fundamentals of Materials Science (3 hours)
Prerequisite: CHM 110, 111; PHY 110 or PHY 107
 01 MTWT10:00 AM -12:00 PM MOR306 Saeed Saboury  
IME412Design and Analysis of Experiments (3 hours)
Prerequisite: Two semesters of statistics or consent of instructor.
 01 MTWT12:00 PM -2:00 PM MOR307 John Yoo  
IME468Introduction to Expert Systems and Artificial Intelligence (3 hours)
Prerequisite: IME 110
 01 MTWT9:00 AM -11:00 AM MOR305 John Yoo  
IME512Design and Analysis of Experiments (3 hours)
Prerequisite: Two semesters of statistics or consent of instructor. Not open to students with credit in IME 412
 01 *R* MTWT12:00 PM -2:00 PM MOR307 John Yoo  
IME568Introduction to Expert Systems and Artificial Intelligence (3 hours)
Prerequisite: One semester of computer programming and one semester of statistics, or consent of instructor.
 01 *R* MTWT9:00 AM -11:00 AM MOR305 John Yoo  
IME691Research (0 to 3 hours)
Prerequisite: Unconditional graduate status, minimum GPA of 3.2 after 15 hours of graduate work, and consent of instructor
 01 *R* Arr     Joseph Chen  
 02 *R* Arr     Regina Pope-Ford  
 03 *R* Arr     Iqbal Shareef  
 04 *R* Arr     Gangjian Guo  
 
Full-time cooperative education assignment for manufacturing engineering and industrial engineering students who alternate periods of full-time school with periods of full-time academic or career-related work in industry. Satisfactory/Unsatisfactory.
Analysis of economic aspects of engineering decisions. Effect of interest and other cost factors on evaluation of engineering alternatives. Roles of mathematical models and other techniques in economical design and test of products. Introduction to value engineering.
Materials science in engineering. Structure of perfect solids: metals, plastics, composites, and ceramics. Structure of imperfect solids: phase equilibria; diffusion, mechanical properties, and plastic deformation; strengthening mechanisms; relation between mechanical properties and microstructural control; organic polymers; electrical conduction in materials; semi-conductors; magnetic materials.
Design and analysis of experiments in research, development, and production activities. Experimental designs for evaluating significance of main effects and interactions of several variables. Treatment of problems of measurement, planning, and evaluating programs. Cross listed with IME 512
A variety of Artificial Intelligence techniques will be discussed in this course including modeling techniques and search techniques. Students will learn how to implement a decision support system in the field of Industrial and Manufacturing Engineering using Artificial Intelligence techniques.
Design and analysis of experiments in research, development, and production activities. Experimental designs for evaluating significance of main effects and interactions of several variables. Treatment of problems of measurement, planning, and evaluating programs. Prerequisite: two semesters of statistics or consent of instructor.
Knowledge-based systems design and implementation; expert system shells and programming environments; validation and implementation of expert systems; case studies/laboratories. Cross listed as CIS 588.
Research project or professional problem to be selected by student and advisor. May be repeated to a maximum of 3 hours credit. Beyond initial enrollment the student must register for 0 hours.
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