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PROGRAM OBJECTIVES
To provide students background and experiences in Systems Engineering (life cycle) approach in defining system requirements, systems analysis, preliminary and detailed design, testing and operation and retirement as applicable to computer communication networks and information systems. Also to provide experiences in developing Systems Engineering Management Plan and life cycle analysis.
DEGREE REQUIREMENTS
The Master of Science (M.S.) degree program in Computer and Information Systems Engineering (CISE) is a unique program designed to meet the needs of Information Age Society by preparing its graduates with background in computer hardware, computer software and systems approach to design and development of integrated systems. The Master of Science degree requires: (1) admission of all degree seeking students to candidacy for the degree after completion of all prerequisites identified at the time of initial admission and the completion of nine (9) graduate credit hours in residence at the University, (2) a minimum of thirty (30) graduate semester hours of course work, including at least eighteen (18) credit hours of required core courses, six (6) credit hours of thesis, and six (6) credit hours of electives to be chosen from a list of courses with the consent of the adviser and with the approval of the department head. Substitution within the core courses may be permitted with the consent of the adviser and approval of the department head.
A non-thesis M.S. in CISE degree is available and requires a core of 21 credit hours and four technical electives for a total of 33 semester credit hours.
ADMISSION REQUIREMENTS
The program provides opportunities for students from electrical or other engineering fields, computer science, and business majors to pursue this degree through different levels of admission status.
For admission to the M.S. in CISE program, the student must have B. S. degree in Electrical Engineering, or other engineering disciplines or computer science from an accredited program.
Unconditional admission: the student must also have the necessary prerequisite courses and a cumulative grade point average (GPA) of 3.00 or above out of 4.00
Conditional Admission: If an evaluation of the above student’s transcripts show prerequisite deficiencies, or a cumulative GPA between 2.75 to 3.0, the student will be eligible for conditional admission. Students with a B. S. degree in Business or other related science areas with a cumulative GPA of 3.00 or above will be eligible for conditional admission. Also, students with a B.S. degree in engineering, a cumulative GPA between 2.50 to 2.75 and a passing score of 70 in Fundamentals of Engineering or EIT will be eligible for conditional admission. Students with exceptional experience in this field may be considered.
All students applying for admission must submit to the office of Graduate Studies and Research one completed Graduate Application form and two copies of transcripts from all colleges and universities previously attended.
Admission to Candidacy: The university policy for admission to candidacy will be followed. However, students admitted conditionally must remove all deficiencies with a cumulative GPA of 3.25 in undergraduate prerequisite courses and accumulate no more than 9 graduate credits before achieving unconditional status.
PROGRAM OF STUDY
Courses Required - (24 Cr. Hrs.)
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Course
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Course Name
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Credit Hours
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CISE 5210
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Probability, Statistics, and Risk Analysis
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3
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CISE 5020
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Computer Architecture & Operating System
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3
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CISE 5030
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Software Systems Design
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3
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CISE 5040
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Systems Engineering
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3
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CISE 5250
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Introduction to Modeling and Simulation
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3
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CISE 5230
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Computer Communication and Networks
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3
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CISE 5905
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Master of Science Thesis I
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3
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CISE 5906
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Master of Science Thesis II
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3
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Electives
Two Electives (6 credit hours) may be chosen with the consent of the advisor
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Course
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Course Name
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Credit Hours
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CISE 5060
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Error Control Codes
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3
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CISE 5110
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Artificial Intelligence / Expert Systems
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3
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CISE 5300
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Fundamentals of Robotics
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3
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CISE 5400
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Special Topics in CISE
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3
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CISE 6100
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Optimization in Operations Research
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3
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CISE 6360
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Distributed Computing Theory & Design
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3
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PROGRAM OF STUDY
The program consists of 24 credit hours of course work and six credit hours of thesis. The course work consists of eighteen (18) credit hours of core courses and six (6) credit hours of guided electives.
PROGRAM OFFERING SCHEDULE - THESIS OPTION
Fall Semester
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Course
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Course Name
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Credit Hours
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CISE 5250
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Introduction to Modeling and Simulation
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3
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CISE 5020
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Computer Architecture and Operating System
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3
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CISE 5040
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Systems Engineering
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3
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Spring Semester
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Course
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Course Name
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Credit Hours
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CISE 5030
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Software Systems Design
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3
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CISE 5230
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Computer Communication and Networks
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3
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CISE 5210
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Probability, Statistics, and Risk Analysis
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3
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Fall Semester
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Course
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Course Name
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Credit Hours
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CISE 5905
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Master of Science Thesis I
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3
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Elective
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3
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Elective
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3
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Spring Semester
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Course
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Course Name
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Credit Hours
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CISE 5905 +
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Master of Science Thesis I (continuation)
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3
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CISE 5906
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Master of Science Thesis II
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3
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CURRICULUM FOR NON-THESIS - M.S. IN CISE DEGREE
This program provides students the opportunity to complete their M.S. in CISE Degree with 33 credit hours of courses with 21 credits hours or required core courses and four technical elective courses approved by the adviser or department head.
Fall Semester
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Course
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Course Name
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Credit Hours
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CISE 5250
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Introduction to Modeling and Simulation
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3
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CISE 5020
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Computer Architecture and Operating System
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3
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CISE 5040
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Systems Engineering
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3
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Spring Semester
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Course
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Course Name
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Credit Hours
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CISE 5030
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Software Systems Design
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3
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CISE 5230
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Computer Communication and Networks
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3
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CISE 5210
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Probability, Statistics, and Risk Analysis
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3
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Fall Semester
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Course
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Course Name
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Credit Hours
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CISE Elective
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3
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CISE Elective
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3
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CISE Elective
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3
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Spring Semester
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Course
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Course Name
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Credit Hours
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CISE 5040
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Systems Engineering
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3
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CISE Elective
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3
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FACILITIES
The departmental offices and laboratories are housed on the second floor of the A. P. Torrence Hall and occupy 8,350 square feet area. These include eight (8) faculty offices, nine instructional and research laboratories, such as Intelligent Signal Processing Laboratory, Renewable Energy Laboratory, and the Center for Neural Engineering. The department has over one million dollars worth of new state-of-the-art laboratory and computer equipment . These facilities are available for use by the students and faculty.
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