College of Engineering & Computer Science

Post-Baccalaureate Programs

The post-baccalaureate programs in engineering at the UM-Dearborn are geared to the demands of the student and the desires of society to further the technical background of the practicing engineer. Working students are accommodated by course offerings late in the afternoon and evening. Master's level study is offered in automotive systems engineering, bioengineering, computer and information science, computer engineering, electrical engineering, energy systems engineering, engineering management, industrial and systems engineering, information systems & technology, mechanical engineering, manufacturing systems engineering, program and project management and software engineering. Each of these programs and their specific requirements are discussed in the sections that follow.

Graduate Programs

While the undergraduate program in engineering offers a challenging basic education, a program of graduate studies provides the opportunity for advanced or special studies in particular areas of interest. Particularly in an era of rapid technological and scientific advancement, many students find continued study a decided advantage. It offers an attractive opportunity to pursue their special interests and to acquire a more thorough preparation for their professional careers.

The graduate faculty at UM-Dearborn is authorized by the Rackham School of Graduate Studies to conduct approved programs leading to master's degrees. Presently, Master of Science in Engineering degree programs, with specialization in automotive systems engineering, bioengineering, computer engineering, mechanical, electrical, energy systems, industrial and systems engineering, and manufacturing systems engineering, are offered. Master of Science degrees in computer and information science, engineering management, information systems and technology, program and project management, and software engineering are also offered. A dual degree program leading to both a Master of Business Administration and a Master of Science in Engineering-Industrial and Systems Engineering is also available. Students admitted to the Rackham School of Graduate Studies, pursuing degree programs elsewhere in the University (i.e., at another campus), may elect to take a portion of their coursework at UM-Dearborn.

Many graduate programs and courses are offered using distance learning technologies. Students interested in this flexible and convenient course option should call 313-593-4000 or visit: umdearborn.edu/cecs/extended-learning-outreach 

Master of Science in Engineering (MSE) and Master of Science (MS) Programs

The programs in industrial systems, information systems and technology, computer and information science, automotive systems, energy systems, electrical, computer, mechanical, manufacturing systems engineering, software, program and project management, as well as engineering management, are designed to provide a thorough and vigorous educational experience both for the student who plans to enter the engineering profession after completing the requirements and for the student who wishes to pursue the PhD. This is accomplished by the curricula, which provides appropriate breadth, while at the same time permitting the students considerable freedom in the selection of both engineering science and professionally oriented courses in their special interests, and through an environment in which faculty and graduate students may work together on a broad spectrum of research projects.

At the present time, the size of the student body, together with the breadth and depth of the instructional programs to be given, require that specific course offerings be spaced appropriately throughout the three-term year on which UM-Dearborn operates. The present schedule of courses in the four engineering disciplines and CIS provides opportunity for both full-time and part-time students.

Students who wish to pursue engineering or CIS programs on a full-time basis may enter in fall, winter, or summer terms. The usual full load program of graduate studies varies from none to 12 credit hours each term. For mechanical, electrical and computer, industrial and systems, manufacturing systems, or automotive systems engineering, qualified students entering in the fall for continuous study can plan to complete their studies in one year. Normally they will complete an average of 24 credit hours in the first two terms, and can satisfy the remaining credit hours of the minimum 30-hour requirement on a part-time basis through courses that span the complete spring-summer term, or in some cases on a full-time basis during the spring half-term. Students in the engineering management program must complete 36 credit hours. Students in the automotive systems engineering program must undertake a capstone project or a master's thesis, which will span two terms. Full-time students should be able to complete their automotive systems engineering degree program in four terms.

Students planning part-time study can begin their work during any of the three terms. Class schedules are arranged to accommodate part-time, later afternoon, and evening students from local industrial firms. Information on this kind of program, which provides many advantages to both employer and student, can be obtained from the graduate program advisor.

Students may also pursue an alternative type of participation (similar in timing to a cooperative program but without University control over the work periods) when continuous participation is not feasible for financial or other reasons.

This degree program is available both on campus and via the Internet.

Course Descriptions

The following lists include all courses normally offered at UM-Dearborn. However, not all courses are offered every year and periodically courses are added and deleted. For details, students should consult the Schedule of Classes for each term.

Administration

Tony England, PhD, Dean

Ghassan Kridli, PhD, Associate Dean for Undergraduate Education

Yi Lu Murphey, PhD, Associate Dean for Graduate Education and Research

John Cristiano, PhD, Director, Henry W. Patton Center for Engineering Education and Practice, and Institute for Advanced Vehicle Systems

Anthony DeLaRosa, MA, Assistant Director, Experiential Learning and Co-op Education

M. Jeanne Girard, MPA, Director, Office of Extended Learning and Outreach

Eric Kirk, Director, Lab Safety

Leigh McGrath, BS, Director, Business Operations

Lisa Remsing Hall, PhD, Director, Advising and Academic Success

Chairs and Directors

Ben Q. Li, Chair, Department of Mechanical Engineering

Paul Richardson, Chair, Department of Electrical and Computer Engineering

Armen Zakarian, Chair, Department of Industrial and Manufacturing Systems Engineering

Qiang Zhu, Chair, Department of Computer and Information Science

Professors Emeriti

Aswad, A. Adnan, PhD, Professor Emeritus of Industrial and Manufacturing Systems Engineering

Boffi, Luiz V., ScD, Professor Emeritus of Electrical and Computer Engineering

Bolling, Fredric, PhD, Professor Emeritus of Mechanical Engineering

Cairns, J. Robert, PhD, Professor Emeritus of Mechanical Engineering

Chang, Chia-hao, PhD, Professor Emeritus of Industrial and Manufacturing Systems Engineering

Conlon, Howard E., MS, Associate Professor Emeritus of Mechanical Engineering

Despres, Thomas A., PhD, Professor Emeritus of Mechanical Engineering

Habib, Izzeddin S., PhD, Professor Emeritus of Mechanical Engineering

Heim, Dwight S., PhD, Professor Emeritus of Electrical Engineering

Kachhal, Swatantra K., PhD, Professor Emeritus of Industrial and Manufacturing Systems Engineering

Kampfner, Roberto, PhD, Associate Professor Emeritus of Computer and Information Science

Knight, James W., PhD, Associate Professor Emeritus of Industrial and Manufacturing Systems Engineering

Murtuza, Syed, PhD, Professor Emeritus of Electrical and Computer Engineering

Riordan, John, MS, Professor Emeritus of Computer and Information Science

Sullivan, Joseph E., MS, Associate Professor Emeritus of Electrical and Computer Engineering

Tsui, Louis, PhD, Associate Professor Emeritus of Computer and Information Science

Wolf, Louis W., PhD, Associate Professor Emeritus of Mechanical Engineering

Faculty

Department of Computer and Information Science

Abouelenien, Mohamed, PhD, University of North Texas, Assistant Professor of Computer and Information Science

Akingbehin, Kiumi, PhD, Wayne State University, Professor of Computer and Information Science

Bacha, Anys, PhD, The Ohio State University, Assistant Professor of Computer and Information Science

Dehzangi, Omid, PhD, Nanyang Technological University, Assistant Professor of Computer and Information Science

Elenbogen, Bruce, PhD, Northwestern University, Associate Professor of Computer and Information Science

Grosky, William I., PhD, Yale University, Professor of Computer and Information Science

Guo, Jinhua, PhD, University of Georgia, Assistant Professor of Computer and Information Science

Kessentini, Marouan, PhD, University of Montreal, Assistant Professor of Computer and Information Science

Ma, Di, PhD, University of California-Irvine, Assistant Professor of Computer and Information Science

Maxim, Bruce, PhD, University of Michigan, Professor of Computer and Information Science

Medjahed, Brahim, PhD, Virginia Tech University, Assistant Professor of Computer and Information Science

Neji, Sana, MBA\MS, University of Quebec, Lecturer III of Computer and Information Science

Ortiz, Luis, PhD, Brown University, Assistant Professor of Computer and Information Science

Shen, Jie, PhD, University of Saskatchewan, Assistant Professor of Computer and Information Science

Wang, Shengquan, PhD, Texas A M University, Assistant Professor of Computer and Information Science

Xu, Zhiwei, PhD, Florida Atlantic University, Assistant Professor of Computer and Information Science

Yoon, David, PhD, Wayne State University, Associate Professor of Computer and Information Science

Zhu, Qiang, PhD, University of Waterloo, Professor of Computer and Information Science

Department of Electrical and Computer Engineering

Awad, Selim Saad, PhD, Polytechnic Institute of Grenoble, Professor of Electrical and Computer Engineering

Baek, Stanley, PhD, University of California-Berkley, Assistant Professor of Electrical and Computer Engineering

Bai, Hua, PhD, Tsinghua University, Associate Professor of Electrical and Computer Engineering

El Kateeb, Ali, PhD, Concordia University, Associate Professor of Electrical and Computer Engineering

Islam, Riadul, PhD, University of California-Santa Cruz, Assistant Professor of Electrical and Computer Engineering

Kim, Taeyhung, PhD, Texas A M, Associate Professor of Electrical and Computer Engineering

Lakshmanan, Sridhar, PhD, University of Massachusetts Amherst, Associate Professor of Electrical and Computer Engineering

Liu, Chun-Hung, PhD, University of Texas-Austin, Assistant Professor of Electrical and Computer Engineering

Malik, Hafiz, PhD, University of Illinois At Chicago, Associate Professor of Electrical and Computer Engineering

Miller, John, PhD, University of Toledo, Associate Professor of Electrical and Computer Engineering

Murphey, Yi Lu, PhD, University of Michigan, Professor of Electrical and Computer Engineering

Putty, Michael, PhD, University of Michigan, Lecturer III of Electrical and Computer Engineering

Rawashdeh, Samir, PhD, University of Kentucky, Assistant Professor of Electrical and Computer Engineering

Richardson, Paul C., PhD, Oakland University, Professor of Electrical and Computer Engineering

Shaout, Adnan, PhD, Syracuse University, Professor of Electrical and Computer Engineering

Shridhar, Malayappan, PhD, University of Aston, Professor of Electrical and Computer Engineering

Su, Wencong, PhD, North Carolina State University, Assistant Professor of Electrical and Computer Engineering

Wang, Mengqi, PhD, North Carolina State University, Assistant Professor of Electrical and Computer Engineering

Watta, Paul, PhD, Wayne State University, Associate Professor of Electrical and Computer Engineering

Wei, Lu, PhD, Aalto University, Assistant Professor of Electrical and Computer Engineering

Xiang, Weidong, PhD, Tsinghua University, Professor of Electrical and Computer Engineering

Yi, Yasha, PhD, Massachusetts Institute of Technology, Associate Professor of Electrical and Computer Engineering

Zhao, Dongming, PhD, Rutgers University, Professor of Electrical and Computer Engineering

Zheng, Yu, PhD, University of North Carolina, Assistant Professor of Electrical and Computer Engineering

Department of Industrial Manufacturing Systms Engineering

Ayoub, Georges Y., PhD, University of Lille, Assistant Professor of Industrial and Manufacturing Systems Engineering

Chehade, Abdallah, PhD, University of Wisconsin-Madison, Assistant Professor of Industrial and Manufacturing Systems Engineering

Chen, Xi, PhD, University of Minnesota, Assistant Professor of Industrial and Manufacturing Systems Engineering

Chen, Yubao, PhD, University of Wisconsin-Madison, Professor of Industrial and Manufacturing Systems Engineering

Hu, Jian, PhD, Northwestern University, Assistant Professor of Industrial and Manufacturing Systems Engineering

Hu, Zhen, PhD, Missouri University of Science and Technology, Assistant Professor of Industrial and Manufacturing Systems Engineering

Jia, Bochen, PhD, Virginia Polytechnic Institute and State University, Assistant Professor of Industrial and Manufacturing Systems Engineering

Kim, Sang-Hwan, PhD, North Carolina State University, Associate Professor of Industrial and Manufacturing Systems Engineering

Kridli, Ghassan, PhD, University of Missouri-Columbia, Professor of Industrial and Manufacturing Systems Engineering

Lee, Cheol, PhD, Purdue University, Associate Professor of Industrial and Manufacturing Systems Engineering

Liu, Yung-Wen, PhD, University of Washington, Associate Professor of Industrial and Manufacturing Systems Engineering

Orady, Elsayed A., PhD, McMaster University, Professor of Industrial and Manufacturing Systems Engineering

Tolbert, DeLean, PhD, Purdue University, Assistant Professor of Industrial and Manufacturing Systems Engineering

Ulgen, Onur, PhD, Texas Technological University, Professor of Industrial and Manufacturing Systems Engineering

Xi, Zhimin, PhD, University of Maryland, Assistant Professor of Industrial and Manufacturing Systems Engineering

Zakarian, Armen, PhD, University of Iowa, Professor of Industrial and Manufacturing Systems Engineering

Zhou, Feng, PhD, Georgia Institute of Technology, Assistant Professor of Industrial and Manufacturing Systems Engineering

Department of Mechanical Engineering

Argento, Alan, PhD, University of Michigan, Professor of Mechanical Engineering

Chakraborty, Nilay, PhD, University of North Carolina, Assistant Professor of Bioengineering

Cherng, John G., PhD, University of Tennessee, Professor of Mechanical Engineering

Ghosh, Gargi, PhD, University of Kentucky, Associate Professor of Bioengineering

Huntley, Hugh, PhD, University of Michigan, Associate Professor of Mechanical Engineering

Jung, Dohoy, PhD, University of Michigan, Associate Professor of Mechanical Engineering

Kanapathipillai, Mathumai, PhD, Iowa State University, Assistant Professor of Bioengineering

Kang, Hong Tae, PhD, University of Alabama, Professor of Mechanical Engineering

Kim, Youngki, PhD, University of Michigan, Assistant Professor of Mechanical Engineering

Li, Ben Q., PhD, University of California-Berkeley, Professor of Mechanical Engineering

Little, Robert E., PhD, University of Michigan, Professor of Mechanical Engineering

Lo, Joe Fu-Jiou, PhD, University of Southern California, Assistant Professor of Bioengineering

Mallick, Pankaj K., PhD, Illinois Institute of Technology, Professor of Mechanical Engineering

Mei, Carole, PhD, University of Auckland, Professor of Mechanical Engineering

Mohanty, Pravansu, PhD, McGill University, Professor of Mechanical Engineering

Ratts, Eric, PhD, Massachusetts Institute of Technology, Associate Professor of Mechanical Engineering

Reyes-Villanueva, German, PhD, University of Liverpool, Associate Professor of Mechanical Engineering

Sengupta, Subrata, PhD, Case Western Reserve University, Professor of Mechanical Engineering

Shim, Taehyun, PhD, University of California-Davis, Professor of Mechanical Engineering

Varde, Keshav S., PhD, University of Rochester, Professor of Mechanical Engineering

Zhang, Yi, PhD, University of Illinois at Chicago, Professor of Mechanical Engineering

Zikanov, Oleg, PhD, Moscow State University, Professor of Mechanical Engineering

Rules and Proceedures

Since all master degree programs in graduate studies in engineering at the University of Michigan-Dearborn are offered through the Rackham School of Graduate Studies, Ann Arbor, and all graduate students in engineering are registered in the graduate school, it is the responsibility of each graduate student to read the rules and procedures that are available on the Rackham School of Graduate Studies website: www.rackham.umich.edu/policies/academic_policies/

Additional Academic Information

Academic Advising

The graduate student's program of study is arranged through individual counseling to meet career objectives based on prior preparation. The student will be given an opportunity to indicate an area of interest and will be advised by a graduate advisor.

New and continuing students are encouraged to take advantage of scheduled early registration days.

Admission to the Programs at UM-Dearborn

In general, admission to the graduate degree programs is limited to students who have completed their undergraduate work in an ABET-accredited institution with an average grade not less than B. However, in order that each qualified student be granted admission, each application is considered individually by the graduate committee of the program. Specific deficiencies in undergraduate preparation do not necessarily prevent enrollment in the programs, but the work necessary to fill such deficiencies cannot be used to meet the credit hour requirements for the graduate degree.

Students admitted to graduate school and contemplating a master's degree should, at the earliest opportunity and certainly before registering for their first course, contact the graduate advisor for assistance in planning their programs.

Application information can be found on the Graduate Admissions website: umdearborn.edu/admissions/graduate/how-apply

Such applications are individually reviewed by the departmental graduate committee in question. The resulting recommendation is transmitted to the Graduate Studies office, which communicates with the applicant. General admission requirements are available at: umdearborn.edu/admissions/graduate/how-apply/basic-admission-requirements

Application Deadlines

We recommend all documents be submitted by the recommended deadline.  Deadlines are advisory in nature, meaning most programs with rolling admissions will continue to accept applications and review for admission beyond the deadline if there is space available. Advisory deadline guidelines by term are provided below.

Domestic Applicants:

           August 1 for Fall Term
           December 1 for Winter Term
           April 1 for Summer Term

International Applicants*:

           May 1 for Fall Term
           September 1 for Winter Term
           January 1 for Summer Term

*Additional time is required for international applicants due to the additional materials required and the student visa application process. For more, visit the Office of International Affairs.

If you have international transcripts but do not require a student visa, please contact the Office of Graduate Studies for a recommended deadline. 

International students should apply four to six months before the term begins.

Grading

The method of grading graduate students conforms in general to that used in undergraduate colleges. No student will be given a higher grade in a course because of the fact that the student is a graduate student. Although a B average is required, no greater leniency in grading on that account is expected, even in courses taken only by graduate students. Hours of D and E grades are used to determine the average grade for each student, but are not included in the number of hours required for the degree. Whenever such fineness of discrimination is possible, plus and minus signs are affixed to the letter grades.

If at the end of a term the student's work in a course is not complete, a grade of I (for incomplete) may be used. All incomplete (I) grades must be accompanied by an Incomplete contract that specifies the time given to the student to complete the necessary assignments. Any extension beyond 12 months requires approval by the CECS Executive Committee. If the incomplete (I) grade  is  not resolved within the allowed time, a grade of IE will be assigned.

Because of the greater maturity and generally shorter programs of graduate students, it is assumed that their performance in mixed classes will on the average be better than that of undergraduates. Instructors also should expect more substantial work from graduate students. The process of grading graduate students in mixed classes should not, however, reflect these assumptions, i.e., these students should be given marks that indicate their standing in the class as a whole. No marks below C- carry credit points for graduate students.

Grade averages are computed according to the numerical table of honor points below

A+ 4.0
A 4.0
A- 3.7
B+ 3.3
B 3.0
B- 2.7
C+ 2.3
C 2.0
C- 1.7
D+ 1.3
D 1.0
E 0.0 (Not Passed)
UE 0.0 (Unearned Fail)

Tentative Admission

Applicants deficient in some of the admission requirements of the graduate school or of the department or program of specialization, who nevertheless show promise of being able to satisfy these requirements, may be granted tentative admission for a limited period to enable them to make up these deficiencies. Any credits earned under tentative admission will be considered for possible use as graduate credits only when the student has achieved regular admission status.

  1. Graduates of an unaccredited institution may be granted tentative admission on the condition that they complete one semester of 12 credit hours of additional qualifying work at the University of Michigan before completing the normal degree requirements.
  2. Graduates of foreign or American institutions whose previous preparation cannot be adequately evaluated, and graduates who received any part of their qualifying education more than seven years before their application to the graduate school, may be granted tentative admission. Such applicants are permitted one semester of study before regular admission and may be required to complete additional qualifying work beyond the normal degree requirements. A second semester of study may be approved for these applicants by the department or program chairperson (or designate).
  1. Undergraduate students in their final year of work toward a bachelor's degree may be granted tentative admission on the basis of academic credentials to date and pending the receipt of official transcripts indicating satisfactory completion of all coursework and award of the bachelor's degree.
  2. Undergraduate students at the University of Michigan who at the beginning of a full semester are within six credit hours or at the beginning of a half-semester are within four credit hours of graduation may be granted tentative admission to the graduate school for that term or half-term.

Extended Learning & Outreach (ELO)

Extended Learning & Outreach provides programs and technical seminars designed for engineering and computer science professionals interested in continuing education opportunities.

Many offerings can be customized to accommodate both individual and organizational requirements. Programs are available in face-to-face or online formats. ELO’s various programming areas currently include:

Distance Learning Network (DLN)

Most CECS graduate courses are available via distance learning, making it possible to complete an entire degree or certificate program online. Most courses do require examination proctoring, either at the UMD campus or utilizing a proctor at an alternate location. Presently, all DLN courses are offered asynchronously, providing students with the flexibility to learn anytime, anywhere. Each online course has a companion campus-based course and both are taught by the same instructor. Campus-based courses are recorded and posted to course websites so that distance learning students can view recorded lectures at their convenience. Distance learning students have opportunities to interact with their instructors and with other students throughout the semester. A shared course website increases opportunities for broader interaction, intellectual exchanges, and networking.

Graduate Certificate Programs

The college’s Graduate Certificate Programs are designed to provide specialization in a particular topic area. Each certificate requires the completion of a minimum of twelve graduate credit hours. Certificate courses provide students with the opportunity to complement an already acquired degree, or transfer some credits into one of the college’s graduate degree programs (upon admission) as dictated by University policy. Many certificate program courses are available via distance learning.

Technical Seminars and Short Courses (Non Credit Topics)

ELO’s technical seminars and short courses are designed for engineering and computer science professionals wishing to explore particular areas of interest without committing to semester-long credit courses. All offerings are designed and taught by UM-Dearborn faculty or industry experts. Courses are offered in online or face-to-face formats (on campus or at corporate locations). Continuing Education Units (CEU’s) or Professional Development Hours (PDH’s) are awarded to participants successfully completing course requirements. With sufficient interest, courses may also be customized to meet organizational training needs.

For Further Information

To request additional information about any of the ELO programs mentioned here, please contact the department at 313-593-4000 or visit: umdearborn.edu/cecs/extended-learning-outreach