Graduate program: Electrical & Computer Engineering
Two post-graduate degree programs are offered by the Electrical and Computer Engineering Department at Rose-Hulman Institute of Technology: the Master of Science in Electrical Engineering (MSEE) degree, that requires a thesis and a publication, and the Master of Electrical and Computer Engineering (MECE) degree, that does not require a thesis or a publication, but instead requires 12 credit hours of additional course work. Both degree programs combine mathematics, physics, engineering, and computer science to meet the demands of the highly volatile field of electrical and computer engineering. An MECE student's plan of study is arranged on an individual basis through a joint agreement between the student and their academic advisor, who must be a member of the RHIT ECE faculty.
Similarly, an MSEE degree student's plan of study is arranged by agreement between the student, the student's advisory committee chairperson, and the student's advisory committee. The MSEE student's advisory committee must consist of at least (1) an RHIT ECE faculty member serving as the major advisor who guides the student's thesis research, (2) a second RHIT ECE faculty member, and (3) an RHIT faculty member from outside of the ECE department. Both degree programs seek to build upon the basic foundations established by the student's undergraduate course of study. The student's plan of study may reflect a desire to concentrate on a specialized interest or a desire for a better understanding of the broad underlying theories of the entire profession.
Special areas of interest within the Electrical and Computer Engineering Department include Communications, Computer Architecture and Microcomputers, Control Systems, Electromagnetics, Electronics, Power Systems, and Signal and Image Processing.
Department of Electrical & Computer Engineering Website
Master of Science in Electrical Engineering requirements
- 48 credit hours, 36 credit hours of course work as approved by student's advisory committee.
- At least 24 credit hours must be upper level ECE courses (ECE4xx or ECE5xx)
- At least 24 credit hours must be at the 5xx level, thus, no more than 12 credit hours of 400-level classes can count toward the MSEE degree.
- 12 credit hours of thesis work (the Institute's non-thesis option is not permitted for the MSEE degree).
- Successful defense of thesis.
- Acceptance of a technical article for publication and/or for conference presentation with the major professor included as a named author.
Master of Electrical and Computer Engineering degree requirements
- 48 credit hours of course work as approved by student's academic advisor.
- At least 32 credit hours must be upper level ECE courses (ECE4xx or ECE5xx).
- At least 36 credit hours must be graduate level courses (5xx from any department, or 4xx-level Mathematics which have been approved by the student's advisory committee.) Thus no more than 12 credit hours may be 4xx level, excluding the specifically approved Mathematics courses referred to above.
ECE Graduate Course Offerings
ECE 410 Communication Networks
ECE 414 Wireless Systems
ECE 415 Wireless Electronics
ECE 510 Error Correcting Codes
ECE 511 Data Communications
Computer Architecture and Microcomputers
ECE 530 Advanced Microcomputers
ECE 532 Advanced Computer Architecture
ECE 534 Advanced Signal and Power Integrity
ECE 420 Discrete Time Control Systems
ECE 425 Introduction to Mobile Robotics
ECE 442 High-Speed Digital Design
ECE 540 Antenna Engineering
ECE 541 Microwave/Millimeter Wave Engineering
ECE 542 Advanced Electromagnetics
ECE 543 Mathematical Methods of Electromagnetics
ECE 452 Power Electronics
ECE 454 System Level Analog Electronics
ECE 516 Introduction to MEMS
ECE 519 Advanced MEMS
ECE 551 Digital Integrated Circuit Design
ECE 552 Analog Integrated Circuit Design
ECE 553 Radio Frequency Integrated Circuit Design
ECE 554 Instrumentation
ECE 556 Power Electronics: DC Power Supplies
ECE557 Analog Test and Product Engineering
ECE597 Mixed Signal Test Product Engineering
ECE597 Testing of Digital Systems
ECE 452 Power Electronics
ECE 470 Power Systems I
ECE 471 Industrial Power Systems
ECE 472 Power Systems II
ECE 473 Control of Power Systems
Signal and Image Processing
ECE 480 Introduction to Image Processing
ECE 481 Electronic Music Synthesis
ECE 580 Digital Signal Processing
ECE 582 Advanced Image Processing
ECE 583 Pattern Recognition
|Electrical & Computer Engineering Faculty: Carlotta Berry, Ph.D., Vanderbilt University; Bruce A. Black, Ph.D., University of California-Berkeley; Daniel Chang, Ph.D., University of Wisconson; Edward R. Doering, Ph.D., Iowa State University; William J. Eccles, Ph.D., Purdue University; Clifford H. Grigg, Ph.D., University of Manchester Institute of Science and Technology; Marc E. Herniter, Ph.D., University of Michigan; Keith E. Hoover, Ph.D., University of Illinois; Tina A. Hudson, Ph.D., Georgia Institute of Technology; Daniel J. Moore, Ph.D., North Carolina State University; Xiaoyan Mu, Ph.D., Wayne State University; Wayne Padgett, Ph.D., Georgia Institute of Technology; Niusha Rostamkolai, Ph.D., Virginia Tech.; Mario F. Simoni, Ph.D., Georgia Institute of Technology; Jianjian Song, Ph.D., University of Minnesota; Robert D. Throne, Ph.D., University of Michigan; David R. Voltmer, Ph.D., The Ohio State University; Edward D. Wheeler, Ph.D., University of Missouri-Rolla; Mark A Yoder, Ph.D., Purdue University; Deborah J. Walter, Ph.D., The Pennsylvania State University