MASTER OF SCIENCE IN ENGINEERING (ELECTRICAL ENGINEERING)(2009)
The ECE Department offers, through the Rackham School of Graduate Studies, an evening program totaling
30 credit hours, leading to the degree of Master of Science in Engineering (Electrical Engineering). Students
desiring admission to the program must have earned a Bachelor's degree in Electrical and/or Computer
Engineering with an overall GPA of 3.0 or higher. Students whose undergraduate background is in a field other
than Electrical or Computer Engineering may be given conditional admission and would be required to take
preparatory courses in electrical and/or computer engineering as described in section V. Students admitted to
the program are required to take courses as specified below.
I.
Core Courses (Select 3 courses)
9 credits
ECE 500
ECE 550
ECE 560
ECE 580
Mathematical Methods in EE and CE (Required unless waived. Must be taken in the first year) (F)
Communication Systems (W)
Modern Control Theory (F)
Digital Signal Processing (F, W, SS)
II.
Concentration Courses (Select 3 courses)
1) Control Systems
ECE 505
ECE 519
ECE 552
ECE 560
ECE 565
ECE 567
ECE 583
Intro. To Dig. Sys. & Micro (W)
Advanced Topics in EMC (W)
Fuzzy Systems (SS 09)
Modern Control Theory (F)
Digital Controller Design
Nonlinear Control Systems
Neural Networks (W)
3) Intelligent Systems
9 to 11 credits
2) Digital Signal Processing
ECE 512
ECE 580
ECE 5802
ECE 529
ECE 582
ECE 583
ECE 584
Active Filters (SS)
Digital Signal Processing (F, W, SS)
Multirate Sig. Proc w/ Apl (W)
Introduction to Computer Music (W 10)
Statistical Signal Processing
Neural Networks (W)
Speech Processes (OL)
4) Vehicle Electronics
ECE 5251 Multimedia Design Tools I (F)
ECE 5121 Modeling & Design of Elec Cir. & Sys. (F)
ECE 535
Mobile Devices & Ubiqys Comp Sys
ECE 515
Vehicle Electronics-II (W 08)
ECE 537
Data Mining (F)
ECE 519
Advanced Topics in EMC (W)
ECE 576
Information Engineering (F)
ECE 531
Intelligent Vehicles (SS 08)
ECE 579
Intelligent Systems (W)
ECE 532
Auto Sensors and Actuators (F 08)
ECE 580
Digital Signal Processing (F, W)
ECE 533
Active Automotive Safety Systems (SS 09)
ECE 583
Neural Networks (W)
ECE 539
Production of Elec Prods
ECE 585
Pattern Recognition
ECE 5462 Hybrid Electric Vehicles (W)
* all ECE courses are offered online and in-classroom
* semester coding scheme: F-Fall; W-Winter; F xx or W xx - Fall or Winter every two years and last offered year is
xx; courses w/o semester codes are to be scheduled.
* These are partial lists and will be expanded and updated from time to time.
III.
Professional Electives
6 credits
Students may complete the professional elective in several ways: (1) Elect the thesis ECE 699 (6 hours) to work under the
supervision of a faculty advisor, (2) Take direct study by ECE 591 (3 credits), and one EE courses at graduate level, (3)
take two EE courses listed in II.
IV.
Cognate Courses
4 to 6 credits
Students should select a minimum of 4 and a maximum of 6 credit hours of courses from other disciplines. Some courses
from outside ECE may not meet cognate requirement. Please check with the ECE Department prior to registering.
V.
Preparatory Courses
Students with inadequate background in Electrical/Computer Engineering may be required to meet with the department
graduate advisor to determine the need for preparatory courses.
VI.
For further information please contact:
Department of Electrical and Computer Engineering, University of Michigan-Dearborn, 4901 Evergreen Road, Dearborn,
MI 48128 Tel: (313) 593-5420 Fax: (313) 583-6336 E-mail: Mike Hicks (umd-ecegrad@umich.edu).
Students must maintain a cumulative GPA of 3.0 or higher in every semester. Grades below “B-“ are not counted and no
more than two “B-“s are allowed. Students may be placed on probation, if their cumulative GPA falls below 3.0. A
cumulative GPA of 3.0 or higher is required in order to be eligible to receive the MSE (EE) degree.
All students should be familiar with the Horace H. Rackham School of Graduate Studies Handbook.
12/7/2015