The ECE Department offers a program totaling 30 credit hours, leading to the degree of Master of Science in Engineering (Robotics Engineering). Students desiring admission to the program must have earned a Bachelor's degree in Robotics, Electrical, Computer, Mechanical, Industrial and Manufacturing Systems Engineering or Computer Science with an overall GPA of 3.0 or higher. Students whose undergraduate background is in other fields may be given conditional admission and would be required to take preparatory courses in the aforementioned fields as described in section V. Students admitted to the program are required to take courses as specified below. Students must earn a B or better in every graduate course to be credited toward the degree requirements. However, a maximum of two grades of B- will be accepted. In addition, students must maintain a cumulative GPA of 3.0 or higher in every semester. Students may be placed on probation, if their cumulative GPA falls below 3.0. Finally, a cumulative GPA of 3.0 or higher is required, in order to be eligible to receive the MSE (RE) degree.
The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses.
|ECE 5001||Analytic and Comp Math||3|
|ECE 545||Intro Robot Syst||3|
|Selected ONE course from the following:|
|ECE 543||Kinem, Dynam Control Robots||3|
|ECE 544||Mobile Robots||3|
|Concentration Courses||9 to 11 credits|
|Sensing and Processing|
|ECE 555||Stochastic Processes||3|
|ECE 580||Digital Signal Processing||3|
|ECE 582||Intro to Statistical DSP||3|
|ECE 584||Speech Processes||3|
|ECE 586||Digital Image Processing||3|
|ECE 587||Sel Top:Image Proc/Mach Vision||3|
|ECE 588||Robot Vision||3|
|IMSE 606||Advanced Stochastic Processes||3|
|ECE 642||Robotic Embed Sys||3|
|Systems and Control|
|ECE 560||Modern Control Theory||3|
|ECE 565||Digital Control Systems||3|
|ECE 567||Nonlinear Control Systems||3|
|ECE 644||Advanced Robotics||3|
|ECE 665||Optimal Control Systems||3|
|ECE 661||Sys Ident and Adaptive Control||3|
|Machine Learning and Reasoning|
|ECE 528||Cloud Computing||3|
|ECE 537||Data Mining||3|
|ECE 552||Fuzzy Systems||3|
|ECE 574||Adv Sftwr Technq in Eng Appl||3|
|ECE 5752||Reconfigurable Computing||3|
|ECE 579||Intelligent Systems||3|
|ECE 5831||Pat Rec & Neural Netwks||3|
|ECE 531||Intelligent Vehicle Systems||3|
|ECE 532||Auto Sensors and Actuators||3|
|ECE 533||Active Automotive Safety Sys||3|
|ECE 535||Mob Dev & Ubiqys Comp Sys||3|
|ECE 554||Embedded Systems||3|
|ECE 5701||Intro to Wireless Comm||3|
|ECE 577||Engineering in Virtual World||3|
|ECE 679||Adv Intelligent Sys||3|
|Select six credit hours||6|
|Select 4 to 6 credit hours||4-6|
Students may complete the professional elective in several ways: (1) Elect the thesis ECE 699 (6 credits) to work under the supervision of a faculty advisor, (2) Take directed study by ECE 591 (3 credits) and another RE course at graduate level, (3) take another two RE courses from the list above.
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.
Students with inadequate background in Robotics, Electrical, or Computer Engineering may be required to meet with the department graduate advisor to determine the need for preparatory courses.
For further information please contact:
Department of Electrical and Computer Engineering
University of Michigan-Dearborn,
4901 Evergreen Road
Room 206 ELB, Dearborn, MI 48128-2406
Tel: 313-593-5420 Fax: 313-583-6336
- A strong background in theories and a good knowledge of the latest technologies in the robotics engineering discipline.
- An ability to conduct research in advanced engineering fields. The students will possess appropriate skills in formulating problems, designing experiments, collecting, processing, analyzing and interpreting data, designing a system, component, or process to meet desired requirements, and evaluating the system performances.
- An ability to learn the latest research advancement, use advanced techniques and modern engineering tools in engineering practice, evaluate different strategies to derive a feasible solution.