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 SE Graduate Program

Current Graduate Program:

Objective
The objective of the Systems Engineering Graduate programs is to prepare engineers who can function well in large-scale, interdisciplinary projects and who can do independent research to analyze, improve, design, and install engineering systems. Then monitor and control to improve systems productivity.
The following are the options available in the SE graduate program

MS in IE option
This option is concerned with the design, optimization, installation, and improvement of integrated systems of people, materials, and equipments. In this option, the scientific methods applied to decision-making, allocation of resources and optimization of systems will be emphasized. Operations Research models and techniques such as Linear Programming, Non-Linear Programming, Dynamic Programming, Queuing theory, Network, Scheduling and Simulation are studied. In the Industrial Engineering part, Quality, Reliability, Production and Inventory, Maintenance, Human Factors and Work Measurements are essential elements of the program. The overall emphasis is to integrate knowledge to operate, optimize, and improve systems productivity.
The program consists of a total of 30 credit hours: 12 credit hours of core courses, 12 credit hours of elective courses plus 6 credit hours of thesis. The student must choose automation and control or industrial engineering and operations research as an option. The following are the list of core courses for each option

List A: Automation/Control Option core courses

SE 507 Linear Systems
SE 513 Introduction to System Identification
SE 514 Optimal Control
SE 543 Stochastic Processes – I

List B: IE/OR Option core courses

SE 503 Linear Programming and Applications – I
SE 508 Advanced Production systems and Inventory Control
SE 521 Nonlinear Programming and Applications – I
SE 543 Stochastic Processes – I

An M.S. student is required to take four core courses from the above lists: the four courses must contain courses number 1 and 2 from his chosen option list and at least one course from the other option list. Also a student is required to take four more elective courses. The policy for selecting electives is as follows: at least two of these electives should be taken from the graduate offering of the SE department, while a maximum of two of them may be taken outside the SE department as free technical electives from the colleges of CCSE, Engineering and Sciences.

MS in Control option
This option emphasizes the analysis, design, synthesis, and optimization of systems in order to provide the best means of controlling their dynamic behavior to produce specified outputs. Automation, Control theory, Process control, etc. are essential parts of the program.
The program consists of a total of 30 credit hours: 12 credit hours of core courses, 12 credit hours of elective courses plus 6 credit hours of thesis. The student must choose automation and control or industrial engineering and operations research as an option. The following are the list of core courses for each option

List A: Automation/Control Option core courses

SE 507 Linear Systems SE 513 Introduction to System Identification SE 514 Optimal Control SE 543 Stochastic Processes – I

List B: IE/OR Option core courses

SE 503 Linear Programming and Applications – I SE 508 Advanced Production systems and Inventory Control SE 521 Nonlinear Programming and Applications – I SE 543 Stochastic Processes – I
An M.S. student is required to take four core courses from the above lists: the four courses must contain courses number 1 and 2 from his chosen option list and at least one course from the other option list. Also a student is required to take four more elective courses. The policy for selecting electives is as follows: at least two of these electives should be taken from the graduate offering of the SE department, while a maximum of two of them may be taken outside the SE department as free technical electives from the colleges of CCSE, Engineering and Sciences.

Ph.D. in SE

The Ph.D. Program consists of a total of 30 course credit hours: 21 credit hours taken from the major area of specialization, 9 credit hours to be selected from other allied areas or other departments (which constitute a minor), plus 12 credit hours of thesis. The minimum time requirement to complete the ph.d is three years. The Ph.D. program has two major areas of specialization:
1. Automation and Control
2. Industrial Engineering and Operations Research.

AUTOMATION AND CONTROL OPTION

In order to prepare the Ph.D. graduates to work in the rapidly developing fields of Systems Science and Automation Technology, the Automation and Control Option is structured to offer a wide selection of courses and seminars. The Ph.D. courses are built on the M.S. courses, and are broadly clustered on the systemtheory course area and two application oriented course areas. The student course load requirement is a minimum of 10 courses from the 500/600 level courses. A student may take up to 3 courses outside the department with the approval of his advisor. Following is a brief description of the various course areas:

Systems & Control Theory

The purpose of this set of courses is to provide fundamentals of control and systems theory. This set includes:
SE 507 Linear Control Systems
SE 509 Large Scale and Hierarchical Systems
SE 513 Modeling and System Identification I
SE 514 Optimal Control
SE 517 Non-linear Systems Theory
SE 524 Digital Signal Processing
SE 537 Adaptive Control
SE 613 Modeling and System Identification II
SE 624 Advanced Techniques in Digital Signal Processing
SE 650 Theory of Robust Feedback Systems
SE 652 Input-Output Feedback Theory
SE 654 Advance Methods for Control System Synthesis
SE 658 Filtering and Estimation
SE 690 Special Topics in Systems and Control

Robotics and Machine Intelligence

The objective here is to provide the foundations for study and research in the
field of intelligent Automation Systems. Courses include:
SE 502 Industrial Automation
SE 508 Advanced Production Systems & Inventory Control
SE 532 Industrial Robots
SE 632 Robot Arms Dynamics and Control
SE 656 Speech Processing & Recognition
SE 660 Artificial Intelligence and Expert Systems in Control
SE 662 Image Processing and Pattern Recognition in Automation
SE 666 Remote Control Systems
SE 692 Special Topics in Robotics and Intelligent Systems.

Control Applications & Distributed Computer Control

The objective of this area is to provide the training and background to handle specific applications which depend on the student’s interests and thesis. Courses include:
SE 505 Real Time Computer Control Systems
SE 512 Microprocessor Architecture and Interfacing
SE 515 Distributed Computer Control
SE 518 Deterministic Modeling and Simulation
SE 522 Stochastic Simulation and Queuing Models
SE 525 Network Modeling & Algorithm
SE 530 Computer Aided Manufacturing
SE 615 Distributed Process Control Systems
SE 668 Guided Systems Control
SE 694 Special Topics in Control Applications & DCS Systems.
SE 651 Integer Programming
SE 653 Dynamic Programming
SE 657 Stochastic Programming
SE 694 Special Topics in Operations Research

Production and Quality Control

SE 502 Industrial Automation
SE 508 Advanced Production System and Inventory Control
SE 529 Advanced Maintenance Planning & Control
SE 530 Computer-Aided Manufacturing
SE 531 System Reliability and Maintainability
SE 534 Advanced Quality Control
SE 535 Design of Experiments
SE 608 Advanced Production Systems
SE 659 Advanced Material Management
SE 661 Manufacturing Costs and Production Economics
SE 663 Productivity Measurement, Evaluation, Planning, and Improvement
SE 665 Advanced Manufacturing Processes
SE 693 Special Topics in Production Systems & Quality Control

Man-Machine Systems

SE 533 Advanced Work Measurement and Analysis
SE 536 Human Factor Engineering – I
SE 567 Work Physiology
SE 569 Human Factor in Computing Systems
SE 636 Human Factor Engineering – II
SE 695 Special Topics in Man-Machine Systems

INDUSTRIAL ENGINEERING & OPERATIONS RESEARCH OPTION

This option consists of three sub-areas. These sub-areas are:
Operations Research & Applications; Production & Quality Control; and Man-Machine Systems.
The courses in each area are built on the M.S. courses. A student is required to take a minimum of 10 courses from 500/600 level courses. A student may take 3 courses outside the department with the approval of his advisor. The following is a brief description of the various courses in each area:

Operations Research & Applications

SE 501 Survey of Operations Research Models and its Applications
SE 503 Linear Programming and Applications – I
SE 520 Analytical Methods in Facility Location
SE 521 Non-Linear Programming and Applications – I
SE 522 Advanced Stochastic Simulation
SE 523 Forecasting Systems
SE 525 Network Modeling & Algorithms
SE 527 Decision-Making
SE 541 Queuing Models and Theory – I
SE 543 Stochastic Process – I
SE 548 Theory of Scheduling
SE 570 Optimization Methods for Engineering Design
SE 571 Heuristic Search Methods
SE 603 Linear Programming and Applications – II
SE 621 Non-Linear Programming and Applications – II
SE 623 Global Optimization Using Interval Analysis
SE 625 Advanced Network Programming
SE 627 Multiple Criteria Decision-Making
SE 641 Queuing Models & Theory – II
SE 643 Stochastic Process – II
 
Annual Student Enrollment:
2016-2017
Fall (161)Spring (162)Summer (163)
EnrolmentGraduatedEnrolmentExpected to GraduateEnrolmentGraduated
3 0 2 

2015-2016​
FallSpringSummer
EnrolmentGraduatedEnrolmentGraduatedEnrolmentGraduated
705000

201