Graduate Programs

 

M.S. Program in Information Systems (Non Thesis)

 

M.S. Program in Mathematics and Computer Science (With Thesis)

 

Ph.D. Program in Mathematics and Computer Science

 

 

 

 

M.S. Program in Information Systems ( Non Thesis )

 

I. Admission

Admission is by the Graduate Committee of the Department through a written examination. Written examination covers the following topics:

 

  1. Introduction to Computers
  2. Introduction to Information Systems

 

II. Deficiency courses

The program is interdepartmental and interdisciplinary master program. Any student, who has not passed the courses in Introduction to Programming, Design and Analysis of Algorithms, Data Structures, Introduction to Probability and Statistics, Discrete Mathematics, and Linear Algebra in bachelor program, must take relevant courses as deficiency courses.

 

III. Courses

The study in the program is based on the following two options:

 

  1. A student has to take at least fourteen three-credit courses offered by the department. According to the rules, specifications, and course quotas announced by respective departments, courses can be also chosen among those offered by doctoral staff of other departments.
  2. A student has to take at least ten three-credit courses among those described above, and Term Project.

 

 

List of courses

 

Code

Course Name

Lecture

Tut/Lab

Credit

IS 501

Selected Topics in Information Systems I

3

-

3

IS 502

Selected Topics in Information Systems II

3

-

3

IS 503

Selected Topics in Information Systems III

3

-

3

IS 504 Selected Topics in Information Systems IV 3 - 3
IS 505 Algorithms on Graphs 3 1 3
IS 506 Optimization 3 1 3
IS 507 Parallel Models and Methods 3 - 3
IS 508 Operating Systems 3 - 3
IS 509 Database Systems 3 - 3
IS 510 Artificial Intelligence 2 3 - 3
IS 511 Object-Oriented Programming 3 - 3
IS 512 Multimedia I 3 - 3
IS 513 Multimedia II 3 - 3
IS 514 Computer Graphics 3 - 3
IS 515 Network Data Security 3 - 3
IS 516 Data Communication and Computer Networks 3 - 3
IS 517 Group Project 3 - 3
IS 518 Term Project - - 0
IS 519 Project Management 3 - 3
IS 520 Decision Making and Forecasting 3 - 3

 

IV. Term Project

A student with CGPA of 3.5 or above starting third semester of study can be assigned Term Project. Term Project should be carried out under supervision of doctoral faculty member and completed within one semester. 

 

 

 

 

 

 

M.S. Program in Mathematics and Computer Science ( With Thesis )

I. Admission

Admission is by the Graduate Studies Committee of the Department through a written examination and an interview. The written examination covers the following topics:

  1. Linear Algebra
  2. Calculus
  3. Introduction to Computer Science

 

II. Courses

The following 3 courses are compulsory for all graduate students regardless of their area of study

Code

Course Name

Lecture

Tut/Lab

Credit

MATH 501

Analysis

3

-

3

MATH 507

Algebra I

3

-

3

MATH 566

Linear Algebra

3

-

3


The fourth compulsory course is selected by the student under the guidance of his/her supervisor from the following:

Code

Course Name

Lecture

Tut/Lab

Credit

MATH 516

Measure and Integration

3

-

3

MATH 535

Topology

3

-

3

COMP 551

Combinatorics

3

-

3


Any of the above three courses taken in addition will be counted as a basic course.

Basic Courses

Code

Course Name

Lecture

Tut/Lab

Credit

MATH 502

Complex Analysis

3

-

3

MATH 538

Differentiable Manifolds

3

-

3

MATH 561

Functional Analysis I

3

-

3

COMP 552
COMP 551

Graph Theory  / (or Combinatorics)

3

-

3

MATH 529

Linear Programming

3

-

3

MATH 505

Theory of Partial Differential Equations

3

-

3

MATH 521

Probability Theory

3

-

3

COMP 512

Theory of Algorithms

3

-

3

MATH 578

Theory of Finite Difference Schemes

3

-

3


Every student in the program must take and pass four compulsory courses and at least two of the basic courses. The compulsory courses must be registered in the first year of studies.

III. Thesis

 

The thesis consists of an abstract and introduction, a survey of known knowledge in the area concerned, the candidate's own contributions and a list of cited references.

The content of the thesis should reflect the student's own understanding of the research topic. It should contain a piece of work which, although not necessarily original, is not readily available in the literature.



 

 

Ph.D. Pogram in Mathematics and Computer Science

I. Admission

Admission is by the Graduate Studies Committee of the Department through a written examination and an interview.

The candidates applying for Ph.D. studies must have acquired a complemented M.S. degree in Mathematics or equivalent. Application should include a reference letter from one of the faculty members expressing his/her willingness to supervise the applicant.

The written examination covers the compulsory courses of the M.S. program.

 

 

II. Courses

Every student must take and pass at least two basic courses of the M.S. program which she/he has not taken or has taken and failed before.

For the basic courses which she/he has already taken and which are closely related to his/her research field, at least B grade is required.

 

 

III. Qualifying Examination

The qualifying examination consists of a written and an oral parts which are organized by the Graduate Studies Committee.

The written examination consists of two parts: one on a major topic and one on a minor topic. The major and minor topics should be chosen by the supervisor of the student among the following topics:

  1. Algebra
  2. Analysis
  3. Applied Mathematics
  4. Combinatorics
  5. Computer Science
  6. Differential Geometry and Topology
  7. Numerical Analysis
  8. Probability Theory

The student who is successful in the written part is expected to present her/his proposed or ongoing research project. The student who is not successful in the written part is considered unsatisfactory.

Questions in the oral examination will be mostly on the research project but can be related to the major and minor topics of the written examination as well.

 

 

IV. Thesis

The general format and the requirements for a Ph.D. thesis are the same as described in the M.S. Program. However, more mathematical maturity is expected from the literature survey part, and the contributions of the candidate must be original of publishable quality.

Before a thesis jury can be appointed, one paper dealing with issues related to the thesis research of the student must have been published or accepted for publication in a research journal referenced in the Science Citation Index.


Last Modified:
June 02, 2004