Doctor of Philosophy in Computer and Information Systems Engineering (CISE)

The Doctor of Philosophy (Ph.D.) program in Computer Information Systems Engineering (CISE) is an interdisciplinary program supported by faculty from several disciplines including Computer Science, Electrical and Computer Engineering, Mechanical and Manufacturing Engineering and Center of Excellence in Information Systems, Engineering and Management.

Recognizing the current challenges offered by information age, the Ph.D. program is designed to provide an integrated systems approach to the development of computer (hardware and software) intensive systems to interested students from various disciplines of engineering and computer science.

TSU also offer separately Master's degrees in Computer and Information Systems Engineering and Master of Engineering with options in Civil and Environmental, Electrical, Biomedical, Mechanical, and Manufacturing Engineering.

RESEARCH LABS

State of the art research labs and centers include:

  • Center of Neural Network,
  • Intelligent Control Systems and Robotic Lab,
  • Intelligent Manufacturing Lab,
  • Intelligent Signal Processing Lab,
  • CFD Lab,
  • CISE Lab and
  • Biomedical Engineer Lab.

 

Ph. D. in CISE Curriculum

        General Education

              NA

         Major Field Core

              18

         Concentrations

              18

         Guided Electives

              15

         Ph. D. Thesis

              21

         Seminar

               0

         TOTAL HOURS

              72

 

 

 

Areas of specialization: 

 

  Course

  Course Name

 Credit Hours

 

  General Education  

      NA

 

  Major Field Core

      18

  CISE 5010

  Data Structures and Algorithms

        3

  CISE 5020

  Computer Architecture and Operating Systems

        3

  CISE 5030

  Software Systems Design  

        3

  CISE 5040

  Systems Engineering 

        3

  CISE 5220

  Computer Aided Systems Design 

        3

  CISE 5230

  Computer Communications and Networks

        3

 

  Concentrations and Electives

      33

 

Suggested courses in each of the three areas of concentration to be selected by student's Ph.D. Advisory Committee and approved the Program Coordinator and the Dean of the College of Engineering and Technology.

 

AREAS OF CONCENTRATION:

Computer Communication and Networks:

  Course

  Course Name

 Credit Hours

  CISE 5060

  Error Correction Codes

       3

  CISE 5240

  Management of Information Systems

       3

  CISE 5300

  Probability & Statistics, Risk Management and Forecasting

       3

  CISE 6000

  Database Management Systems  

       3

  CISE 6100

  Optimization in Operations Research    

       3

  CISE 6300

  Statistical Information Theory

       3

  CISE 6340

  Computer Communication and Networks II

       3

  CISE 6360

  Distributed Computing Theory and Design

       3

  CISE 6440

  Numerical Visualization

       3

  CISE 7100

  System Modeling and Simulation

       3

  CISE 7300

  Network Programming 

       3

  CISE 7310

  Metrics and Models in Software Quality Engr.

       3

  CISE 7340

  High Performance Computing Applications  

       3

  CISE 7350

  Network Security and Risk Analysis

       3

  CISE 7370

  Optical Communication

       3

  CISE 7505

  Special Topics  

       3

  

 

Control System and Signal Processing:

  Course

  Course Name

   Credit Hours

  EECE 5210

  Digital Filter Design

           3

  EECE 5220

  Modern Signal Processing

           3

  EECE 5230

  Digital Image Processing I

           3

  EECE 5630

  Modern Control Systems  

           3

  CISE 6200

  Introduction to Computational Intelligence   

           3

  EECE 6220

  Robust Control Theory

           3

  EECE 6230

  Nonlinear Control Systems

           3

  EECE 6250

  Digital Spectral Analysis

           3

  EECE 6260

  Pattern Recognition and Classification

           3

  EECE 7200

  Statistical Signal Processing

           3

  EECE 7210

  Adaptive Control Systems  

           3

  EECE 7220

  Intelligent Control Systems

           3

  EECE 7230

  Adaptive Filtering and Stochastic Control Systems

           3

  CISE 7240

  Digital Image Processing II

           3

  CISE 7506

  Special Topics

           3

 

 

Robotics and Computer Integrated Manufacturing:

  Course

  Course Name

  Credit  Hours

  MEEN 5010

  Introduction to Manufacturing

       3

  MEEN 5040

  Vibration

       3

  MEEN 5130

  Flexible Manufacturing Systems

       3

  MEEN 5430

  Intro. to Computational Fluid Dynamics

       3

  MEEN 5610

  Computer Aided Design and Manufacturing

       3

  MEEN 5620

  Design for Manufacturability

       3

  MEEN 5630

  Manufacturing Quality Control and Management

       3

  MEEN 5640

  Manufacturing Modeling and Simulation

       3

  MEEN 5650

  Predictive and Preventive Maintenance

       3

  MEEN 5660

  Concurrent Engineering in Manufacturing

       3

  CISE 5300

  Fundamental of Robotics

       3

  CISE 5310

  Probability, Statistics, Risk Management And Forecasting

       3

  ENGR 5200

  Modeling and Simulation of Dynamic Systems

       3

  ENGR 5070

  Object Oriented Programming for Engineers  

       3

  CISE   6400

  Fundamentals of Robotics in Manufacturing

       3

  MEEN 6430

  Manufacturing Diagnosis and Prognosis Tech

       3

  ENGR 5600

  Sensor Technology and Processing

       3

  CISE 6440

  Numerical Visualization

       3

  MEEN 6450

  Transport Phenomena in Manufacturing

       3

  MEEN 7420

  Robotics and Machine Intelligence in Manufacturing

       3

  MEEN 7430

  Mechatronics Systems

       3

  CISE 7507

  Special Topics

       3

 

Ph.D. Thesis:

CISE 7900 Ph.D. Dissertation                                                                       21

Seminar:

CISE 7600 Seminar                                                                                    0

 

ADMISSION REQUIREMENTS

Must have a B.S. degree in engineering or computer science from an accredited program with a minimum cumulative GPA of 3.0/4.0 or Masters degree in Engineering, Computer Science, or closely related field with a minimum GPA of 3.3

Must complete graduate application package for admission. Foreign students must have TOFEL score ≥ 550. Also foreign transcript must be evaluated by World Education service

Three letters of recommendation from faculty and/or current supervisor.

Recommendation from CISE faculty and approval by the Dean of Engineering and Technology and Dean of Graduate studies

Transfer Credits

Transfer students with Masters degrees and beyond may transfer up to a maximum of 24 credit hours of equivalent courses towards required and/or elective courses, upon approval of program Coordinator.

 

Major Advisor

Initially the Coordinator of the Ph.D. program will serve as an academic advisor for all new students entering the program. Each student in the Ph.D. program is expected to select a major advisor by the beginning of the second year with the approval of the Coordinator. All major advisors must hold tenure or tenure-track full-time graduate faculty positions.

 

Ph.D. Advisory Committee

An Ph.D. Advisory Committee will consist of four (4) graduate faculty from the student's program with the major advisor as its chairperson. The Ph.D. Advisory Committee will be recommended by the major advisor, with input from the student, to the Coordinator of the Ph.D. program, for approval by the Dean of the College of Engineering, Technology and Computer Science and the Dean of Graduate Studies. Upon the student's completion of courses and selection of a concentration, the Ph.D. Advisory Committee will review the student's prior transcripts, evaluate and recommend any transfer credits, and prepare a program of study for approval by the Coordinator of the Ph.D. program and the Dean of College of Engineering, Technology and Computer Science before submission to the Dean of Graduate Studies. The Committee will supervise the student's program, administer dissertation review and approval, and finally recommend the awarding of the degree.

 

Retention

Students must maintain a cumulative grade point average (GPA) of 3.00 or better on a scale of 4.00, and pass all pass/ fail courses throughout the program to remain in good academic standing.

Students must have a grade of B or better in all core courses and may not have more than two C grades in other courses used to meet degree requirements. After completion of nine (9) semester hours of graduate work, if the student's cumulative GPA at the end of a given semester falls below 3.00, the student will be placed on academic probation for the next semester and must satisfy the existing University requirements to return to good academic standing. Students may be dismissed from the program upon recommendation of the Ph.D. Advisory Committee for continued probation beyond two consecutive semesters.

 

Comprehensive Written Examination

The written examination is designed to evaluate the student's readiness to advance to candidacy status. It is scheduled after the student has met all of the core courses and major area required and elective course requirements specified in the student's program of study and upon the recommendation of the student's major advisor. The comprehensive examination committee will develop the written examination. This is an ad hoc committee consisting of at least three (3) graduate faculties in the program and is appointed by the Coordinator of the Ph.D. Program in CISE, upon the recommendation of the major advisor. This committee will determine the passing performance and inform the student, the Coordinator, and the student's major advisor of the final outcome of the examination. The comprehensive written examination will consist of questions from the core, the student's area of study and the knowledge considered essential background for the dissertation research.

Students who pass the comprehensive written examination and meet all other requirements for candidacy for the Ph.D. degree in CISE will receive written confirmation of the status of their candidacy from the Dean of Graduate School. Students who fail the examination may take it again after at least one semester. Students who fail the examination after two attempts will be dropped from the program. Students in the Ph.D. program with good standing who do not plan to pursue the Ph.D. degree may seek to meet the M.S. in CISE or the Master of Engineering degree requirements of the University.

 

Oral Defense of Dissertation Proposal

The dissertation proposal is submitted to the student's major advisor and the Ph.D. Advisory Committee for review. The committee will make recommendations as needed. The proposal must be orally defended by the candidate before the Advisory Committee, and it must be accepted by the committee. A signature of committee members on the dissertation proposal constitutes approval to proceed with thesis research. Only after approval of the dissertation proposal may the student register for the CISE 7900 Ph.D. Dissertation course.

 

Admission to Candidacy for Ph.D. Degree in CISE

  Admission to candidacy for Ph.D. degree in CISE will require compliance with all existing Graduate School policies such as;

  •   Completion of all core and concentration courses approved for the student's program of study.
  •   A minimum cumulative GPA of 3.0 or better,
  •   Successful passing of Comprehensive Written Examination, and
  •   Successful oral defense of dissertation proposal
     

Degree Requirements

The student must successfully complete the approved program of study with a minimum cumulative GPA of 3.0 or better.

After the approval of the dissertation proposal, student must complete dissertation research and submit completed dissertation to the Ph. D Advisory Committee for approval.

Upon approval by the Ph. D Advisory Committee and the graduate school, the student must defend the research before the Advisory Committee and a public seminar before the faculty, students, alumni and/or industrial representatives.

Upon successful defense of research, presentation of the written dissertation, and approval by the Coordinator of the Ph.D. program and the Graduate School, the major advisor with the consent of the Ph.D. Advisory Committee will initiate recommendation for awarding of the degree.

 

Other Requirements

Other requirements such as residency, maximum class load, transfer of credits, time limits for credits and preparation of dissertation will comply with all existing policies of the University, the College of Engineering, Technology and Computer Sciences.

 






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