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. State of the art research labs and
centers including 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
|
Description of Course Requirements
|
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 are:
|
|
|
Computer Communication and Networks
|
|
|
|
CISE 5200
|
Probability, Random
Processes & Estimation Theory
|
3
|
|
|
CISE 5110
|
Intro. to Artificial
Intelleigence
|
3
|
|
|
CISE 5240
|
Management of
Information Systems
|
3
|
|
|
EECE 5230
|
Digital Image Processing
|
|
|
|
CISE 6000
|
Database Management
Systems
|
3
|
|
|
CISE 6100
|
Optimization in
Operations Research
|
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
|
|
|
CISE 5110
|
Intro. to Artificial
Intelligence
|
3
|
|
|
CISE 5200
|
Probability, Random
Processes & Estimation Theory
|
3
|
|
|
ENGR 5070
|
Object Oriented
Programming for Engrs.
|
3
|
|
|
CISE 5300
|
Fundamental of Robotics
|
3
|
|
|
EECE 5220
|
Modern Signal Processing
|
3
|
|
|
EECE 5230
|
Digital Image Processing
I
|
3
|
|
|
EECE 5640
|
Advanced Topics in
Control Systems
|
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 7230
|
Adaptive Filtering and
Stochastic Control Systems
|
3
|
|
|
CISE 7240
|
Computer Vision
|
3
|
|
|
CISE 7506
|
Special Topics
|
3
|
|
|
Robotics and Computer Integrated Manufacturing
|
|
|
CISE 5110
|
Intro. to Artificial
Intelligence*
|
3
|
|
|
MEEN 5010
|
Introduction to
Manufacturing
|
3
|
|
|
MEEN 5040
|
Vibration Analysis
|
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
|
|
|
CISE 7420
|
Advanced Robotics
|
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
|
COURSE DESCRIPTIONS
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
