About
The University of Texas at El Paso’s College of Engineering will establish a concentration in Systems Modeling and Simulation under the Industrial, Manufacturing and Systems Engineering (IMSE) Department, thanks to a $1 million grant from the U.S. Department of Education.
The new concentration plan will allow graduate engineering students to enhance their knowledge in data analytics, computer simulation, augmented and virtual reality (AR/VR), machine learning for dynamic production and operations systems. These are systems that tend to be complex in nature due to rapid changes in customer needs, operational parameters, technology involvement and interactive cyber-physical systems.
With this new concentration, UTEP will train students to be more innovative, technologically sound, and able to cope with a rapidly evolving environment in industries. This will allow the students to thrive in today’s industrial landscape, where the very nature of work is changing due to technological advances, and constantly shifting supply chains and customer needs. As part of this grant, the IMSE Department will establish a new laboratory for Systems Innovation with Modeling and Simulation (SIMS) to stimulate student interest in hands-on skills such as big data analysis, development of simulation models, 3D-model design, and AR/VR applications development.
Concentration Plan
Degree Requirements Summary
Thesis Option (in credit-hours) Non Thesis Option (in credit-hours)
Core IE coursework 15 15
Graduate IMSE Electives* 3 9
Graduate Electives** 6 6
Thesis 6 (IE 5398 and IE 5399) 0
Total 30 30
*At most, six (6) credit hours of approved senior-level undergraduate coursework, and, at most, three (3) credit hours of Individual Studies can be included in the degree plan.
**At most six (6) hours of approved graduate level coursework in areas outside the Industrial, Manufacturing and Systems Engineering Department can be included in the degree plan. IMSE Department courses can be used to satisfy the Graduate Electives requirement.
All coursework must be approved by the department’s graduate program director. All courses listed in the degree plan require a grade of C or better for successful completion. A minimum GPA of 3.0 is required for graduation.
Degree Plan
Required Credits: 30
Code | Title | Hours |
---|---|---|
MS in Industrial Engineering (All courses require a grade of C or better) | ||
Non-Thesis Option | ||
Core IE Coursework: | ||
Select fifteen hours of the following: | 15 | |
Graduate Seminar | ||
Adv Production/Inven Control | ||
Linear and Combin Optimiz Meth | ||
Design/Analysis Indust Exprmnt | ||
Computer Simulation Appli | ||
Advanced Quality Control | ||
Special Topics Industrial Engr | ||
Individual Studies | ||
Non-Thesis Graduate IMSE Electives | ||
Select nine additional hours of graduate IE, MFG or SE courses | 9 | |
Graduate Seminar | ||
Adv Production/Inven Control | ||
Linear and Combin Optimiz Meth | ||
Design/Analysis Indust Exprmnt | ||
Computer Simulation Appli | ||
Advanced Quality Control | ||
Special Topics Industrial Engr | ||
Individual Studies | ||
Design for Manufacturability | ||
Strategic Design-Mfg Processes | ||
Robotics & Flexible Automation | ||
Analysis-Mat'l Handling System | ||
Modeling/Analysis-Mfg Process | ||
Reliability & Maintainability | ||
Computer-Aided Manufacturing | ||
Green Energy Manufacturing | ||
Special Topics | ||
Individual Studies | ||
Graduate Research | ||
Systems Engr Fundamentals | ||
Systems Engr Management | ||
Systems Requirements Analysis | ||
Sys Intgrtn, Verfctn, & Valdtn | ||
Systems Architecture & Design | ||
Systems Engr Processes | ||
Systems Modeling & Simulation | ||
Non-thesis Graduate Electives: | ||
Select six additional hours of graduate courses from the College of Engineering, Science or Business | 6 | |
Total Hours | 30 |
Code | Title | Hours |
---|---|---|
Thesis Option | ||
MS in Industrial Engineering (All courses require a grade of C or better) | ||
Core IE Coursework: | ||
Select fifteen hours of the following: | 15 | |
Graduate Seminar | ||
Adv Production/Inven Control | ||
Linear and Combin Optimiz Meth | ||
Design/Analysis Indust Exprmnt | ||
Computer Simulation Appli | ||
Advanced Quality Control | ||
Special Topics Industrial Engr | ||
Individual Studies | ||
Required Courses: | ||
IE 5398 | Thesis | 3 |
IE 5399 | Thesis | 3 |
Graduate IMSE Electives: | ||
Select three additional hours of graduate IE, MFG or SE courses | 3 | |
Adv Production/Inven Control | ||
Linear and Combin Optimiz Meth | ||
Design/Analysis Indust Exprmnt | ||
Computer Simulation Appli | ||
Advanced Quality Control | ||
Special Topics Industrial Engr | ||
Design for Manufacturability | ||
Strategic Design-Mfg Processes | ||
Robotics & Flexible Automation | ||
Analysis-Mat'l Handling System | ||
Modeling/Analysis-Mfg Process | ||
Reliability & Maintainability | ||
Computer-Aided Manufacturing | ||
Green Energy Manufacturing | ||
Special Topics | ||
Individual Studies | ||
Graduate Research | ||
Systems Engr Fundamentals | ||
Systems Requirements Analysis | ||
Sys Intgrtn, Verfctn, & Valdtn | ||
Systems Architecture & Design | ||
Systems Engr Processes | ||
Systems Modeling & Simulation | ||
Thesis Graduate Electives: | ||
Select six additional hours of graduate courses from the College of Engineering, Science or Business | 6 | |
Total Hours | 30 |
Program Learning Outcomes (PLOs) and Student Learning Outcomes (SLOs)
The SMS concentration will have six (6) program learning objectives (PLOs) as mentioned below:
- PLO-1: Students’ ability to communicate information in meaningful ways to others by collecting, managing (collect, store, secure), analyzing data to draw meaning interpretations and decisions that inform practice ana policy.
- PLO-2: Students’ ability to analyze and critically evaluate system’s characteristics and physical environment through simulation techniques to improve system’s efficiency and performance
- PLO-3: Students’ ability to apply and evaluate the model physical object using computer aided design (CAD) software and synthesizing the process by translating between physical and virtual/augmented world.
- PLO-4: Students’ ability to problem solving in system-theoretic approach to simulation and modeling real-life problems in engineering, manufacturing, and technology at the conceptual and operational levels.
- PLO-5: Students’ ability to creatively analyze and evaluate modern programming languages, application programing interfaces, or built-in libraries within scientific computing software.
- PLO-6: Students’ ability to develop interpersonal communication and demonstration skills in the dissemination of project results and conclusions.
The SMS concentration will planned to gain the following student learning outcomes (SLOs):
-
SLO-1: Learn the data representation methods and able to perform noisy data prepressing
-
SLO-2: Learn the theory and practical implication of data modeling algorithms
-
SLO-3: Gain the programming skills in Python for data modeling applications
-
SLO-4: Able to apply the ML algorithms on specific dataset and summarize and explain the findings
-
SLO-5: Understand the basic theory and statistical procedures for simulation applications
-
SLO-6: Learn the discreate event simulation (DES) and agent-based simulation
-
SLO-7: Able to understand and simulate a complex system and discover set of alternative solutions
-
SLO-8: Learn to demonstrate the findings of a simulation analysis
-
SLO-9: Able to design 3D model of physical object using CAD software
-
SLO-10: Know how to work with Unity game engine
-
SLO-11: Learn to integrate the 3D model into Unity Platform for virtual/augmented representation
-
SLO-12: Able to demonstrate the virtual/augmented model in an interactive way