Curriculum for MCE
Total minimum credits required for graduation in the MCE program are 30. The following is a suggested course schedule for fresh MCE students. Students need to consult their advisors before registering for courses.
- MCE 6642 Advanced Control Systems - 3 credits
- MCE 6643 Advanced. Meas. Systems - 3 credits
- ENGR 5521 Adv. Engineering Math. I - 3 credits
- Total: Semester 1 - 9 credits
- ENGR 6650 Thesis OR
- ENGR 6660 Special Project - 3 credits
- Engineering Elective I - 3 credits
- Engineering Elective II - 3 credits
- Technical Elective I - 3 credits
- Total: Semester 2 - 12 credits
- Engineering Elective III - 3 credits
- Technical Elective II - 3 credits
- Engineering Elective III - 3 credits OR
- Engineering Elective III - 3 credits
- Total: Semster 3 - 9 credits
- Total: Semesters 1, 2, and 3 - 30 credits
If a student already had no basic course in Control Systems in his/her undergraduate (BS/BE) program, he/she is advised to take EE 573 (Spring): Automatic Control Systems (3 credits) before taking MCE 642.
If a student already had no basic course in Measurements/Instrumentation in his/her undergraduate (BS/BE) program, he/she is advised to take ME 505 (Fall) Measurement Systems Design (3 credits) and/or ME 406 Measurements Systems Lab (1 credit) before taking MCE 643.
Engineering Elective: Any graduate level engineering course (to be approved by an advisor)
Technical Elective: Any graduate level non-MCE course (to be approved by an advisor)
It is important for the students to submit as soon as possible the duly filled-in and signed forms for Program of Study Plan and MS Thesis/Special Project Plan.
The following is a list of courses offered in the MCE program:
MCE 6640 System Modeling, Identification and Simulation. (3 credits). Model development, off-line and on-line identification methods for engineering systems, diagnostic tests and model validation and analog and digital simulation methods. Prereq: EE g573
MCE 6642 Advanced Control Systems. (3 credits). Study of advances in classical and modern control systems. Optimization, estimation and Eigenstructure control. Prereq: EE g573 or Equivalent.
MCE 6643 Advanced Measurement Methods. (3 credits). Instrumentation systems used in detection and signal conditioning of thermal-hydraulic process variables, radiation including lasers, and electrical and mechanical properties of materials. Prereq: ME g505 or Equivalent.
MCE 6644 Measurements and Controls Laboratory. (3 credits). Work with measuring systems for a variety of process variables. Investigation of characteristics of various process control components and systems. Transient and stationary conditions will be included. Prereq: MCE 6642 and MCE 6643 or Equivalent.
MCE 6645 Advanced Control Theory. (3 credits). Topics selected from nonlinear, adaptive, robust, stochastic, intelligent, or process control theory, depending upon the interests of students and faculty. Prereq: MCE 6642 or Permission of Instructor.
MCE 6646 Intelligent Control Systems. (4 credits). Analysis and design of systems using intelligent techniques such as neural networks, fuzzy logic, genetic algorithms, and artificial intelligence. Permission of the Instructor.
MCE 6647 Nonlinear Control Systems. (3 credits). Phase plane analysis. Lyapunov stability. Describing functions. Singular perturbation and feedback linearization. Prereq: MCE 6642 or Permission of Instructor.
MCE 6649 Robotics and Automation. (3 credits). Robotic manipulator kinematics, dynamics, trajectory planning, sensors, programming and control. The application concepts of robotics in industry will be briefly introduced. Prereq: MCE 6642
MCE 6653 Optimal Control Systems. (3 credits). Performance index. Calculus of variations, Pontryagin maximum principle. Linear quadratic regulator. Time and fuel optimal control. Linear quadratic Gaussian problem. Kalman Filter. H optimal control. Industrial applications. Prereq: MCE 6642 or Permission of Instructor.
MCE 6654 Adaptive Control Systems. (3 credits). Real-time parameter estimation. Deterministic, stochastic, and predictive self-tuning regulators. Model reference adaptive systems. Auto tuning. Stochastic adaptive control. Properties of adaptive systems. Prereq: MCE 6642 or Permission of Instructor.
MCE 6656 Robust Control Systems. (3 credits). Analysis and design of robust controllers using methods for robustness investigation such as mu-analysis and H-infinity control algorithms. Prereq: MCE 6642 or Permission of Instructor.