Academics

MATHEMATICS PROGRAMS

B.S.  (Mathematics) 8-semester program (146)

Pre-requisite: H.S.C.  Pre-Engineering OR Arts Group with Mathematics as elective subject; Pre-entry test

M.A./ M.Sc. in Mathematics: Four semester Program (68)

Pre requisite B.Sc. Honours Mathematics degree/ M.Sc. (Prev.) courses.

M.A./ M.Sc (Final) Mathematics 2-Semester  Program (36)

Pre requisite B.Sc. Honours Mathematics degree/ M.Sc. (Prev.) courses.

M.Phil./ MS. in Mathematics 4- Semester Program (40)

Pre-requisite: Master / 4 Years Graduation in relevant field ; Pre-Admission Test.

1st Semester

MATHS 800   Research Methodology (4)

MATHS 801   Mathematical Analysis Real, Complex, Functional (4)

MATHS 802   Elective-I (4)

MATHS 803   Elective-II (4)

2nd Semester

MATHS 804  Advanced Numerical Analysis (4)

MATHS 805  Elective-I (4)

2nd to 4th Semester

MATHS 895   Research on approved topic, Thesis/  Dissertation and its Defense (16)

Elective courses

Two Elective Courses from the list available with the Director are to be offered in 1st Semester and one in 2nd Semester, subject to availability of faculty; minimum 3 students are to offer the course.

Ph.D. in Mathematics: 3-yr, 6- Semester program (18)

Pre-requisite:

  • MS/M.Phil or equivalent degree (18 years education) in Mathematics from any HEC recognized University/Institute with minimum 3.0 CGPA out of 4.0
  • GRE/GAT (subject) Test cleared. OR
  • A candidate studying in MS/M.Phil degree in Mathematics, subject to qualifying MS/M.Phil 24 credit hours course work with minimum CGPA 3 is also eligible for transfer of his/her MS/MPhil to Ph.D program, provided (a) Candidate have successfully defended  the first MS/MPhil seminar (b) GRE/GAT (Subject) Test has been cleared.
  • The registration of the candidate enrolled for MS/M.Phil shall be transferred for Ph.D degree on the recommendation of the supervisor and the scrutiny committee with the condition that he/she will have to submit fresh synopsis specifying additional research to be carried out. Synopsis should not be more than one thousand (1000) words.

Objective of the Program

  • Well-trained teaching faculty.
  • Motivated researchers who can work in different areas of Mathematics.

 

Structure of the Program

The Ph.D. degree is earned in six semesters through 42 CH coursework (24CH of MS/M.Phil. + 18 CH of Ph.D.) and thesis on the topic duly approved by the Advanced Studies and Research Board.

  • The candidate who has qualified 24CH MS/M.Phil., coursework (or 18-year of schooling) will have to study and qualify 18CH coursework of Ph.D.; otherwise the candidate will complete 42 CH coursework.
  • a written comprehensive examination of courses,
  • On completion of thesis work, an ‘Open Seminar’ is delivered before submitting the thesis. The thesis should be a piece of work embodying either a discovery of new facts or fresh interpretation of facts or theories, in either case the work show the candidate’s capacity for synthesis of data, its critical examination and judgment.
  • Finally a candidate has to appear in an oral examination.

 

Semester-I

MTH 8XX       Core-I (3 CH)

MTH 8XX       Elective-I (3 CH)

MTH 8XX       Elective-II (3 CH)

Semester-II

MTH 8XX       Core-II (3 CH)

MTH 8XX       Elective-III (3 CH)

MTH 8XX       Elective-IV (3 CH)

MTH 8XX       Research Thesis Viva Voce

Elective Courses:

MTH-811       Finite Elements Method

MTH-812       Cryptography

MTH-813       Advanced Topics in Operations Research

MTH-814       Advanced Topics in Optimization Theory

MTH-816       Applicable Mathematical Physics

MTH-817       Graph Theory

MTH-818       Mathematical Biology

Compulsory Courses:

MTH-800       Advanced Abstract Algebra

MTH-801       Advanced Mathematical Analysis

MTH-802       Analysis of Differential Equations

 

COMPUTER SCIENCE PROGRAMS

BS (Computer Science) 8- Semester Program Morning & Evening (146)

Pre-requisite: H.S.C.  Pre-Engineering, Pre- Medical (including General Science), Maths., Physics and Commerce background with at least 45% aggregate marks. Pre-Entry Test.

Master of Computer Science 4- Semester  2 years program (60)

Pre-requisite: BCS (Pass) candidates from Affiliated Colleges with at least 45% marks

M.Sc. Computer Science: Four semester Program (72)

Pre-requisite: BCS (Pass) candidates from Affiliated Colleges with at least 45% marks.

M.S./ M.Phil.  in Computer Science: 4- Semester Program (40)

Pre-requisite: BS/M.Sc. in Computer Science; Pre-Admission Test.

 

1st Semester

COM 815        Research Methodology (4)

COM 821        Theory of Computation (4)

COM 823        Advanced Computer Operating system (4)

COM 824        Elective-I

2nd Semester

COM                Elective-II

COM                Elective-III

 

2nd to 4th Semester

COM 895        Research on approved topic, Thesis and its Defense (16)

Elective courses:  One  Elective to be offered in 1st Semester and Two in 2nd Semester. List of elective courses available with director; minimum 3 students are to offer the course, subject to availability of faculty.

Ph.D. in Computer Science in 6 Semester Program: 18 CH Course

Pre-requisite:

  • MS/M.Phil or equivalent degree (18 years education) in Computer Science from any HEC recognized University/Institute with minimum 3CGPA.
  • GRE/GAT (subject) Test cleared

OR

  • A candidate studying in MS/M.Phil degree in computer science, subject to qualifying MS/M.Phil 24 credit hours course work with minimum CGPA 3 is also eligible for transfer of his/her MS/MPhil to Ph.D program, provided (a) Candidate have successfully defended  the first MS/MPhil seminar (b) GRE/GAT (Subject) Test has been cleared. The registration of the candidate enrolled for MS/M.Phil shall be transferred for Ph.D degree on the recommendation of the supervisor and the scrutiny committee with the condition that he/she will have to submit fresh synopsis specifying additional research to be carried out. Synopsis should not be more than one thousand (1000) words.

 

Objective of the Program

  • To produce well-trained teaching faculty and researchers in the areas related to Computer Science.

Structure of the Program

The Ph.D degree can be earned in six semesters through:

  • 18 credit hours PhD course work during first year (in two semesters).
  • Thesis on the topic duly approved by the Advanced Studies and Research Board.

On completion of thesis work, an ‘Open Seminar’ is delivered before submitting the thesis. The thesis should be a piece of work embodying either a discovery of new facts or fresh interpretation of facts or theories, in either case the work show the candidate’s capability for synthesis of data, its critical examination and judgment.

Finally a candidate has to appear in an oral examination to defend his thesis.

 

1st Semester

COMP-801 or 802         Research Methodology

                                   Advanced Statistical Research Methods (3)

COMP-                       Specialization Core-1 (3)

COMP-                       Specialization Core-2 (3)

2nd Semester

COMP-                           Elective-I (3 CH)

COMP-                           Elective-II (3 CH)

COMP-                           Elective-III (3 CH)

 

List of Elective Courses

COMP -851   Distributed Databases (3 CH)

COMP -852   Advanced Topics in Databases (3 CH)

COMP -853   Network Performance Evaluation (3 CH)

COMP -854   Advanced Data Mining (3 CH)

COMP -855   Advanced Data Warehousing (3 CH)

COMP -856   Software Project Management (3 CH)

COMP -857   Software Architectures (3 CH)

COMP -858   Advanced Parallel and Distributed Computing (3 CH)

COMP -859   Advanced Topics in Computer Networks (3 CH)

COMP -860   Wireless Sensor Networks (3 CH)

COMP -861   Theory of Programming Languages (3 CH)

COMP -862   Data and Network Security (3 CH)

COMP -863   Software Requirement Engineering (3 CH)

COMP -864   Information System Audit and Evaluation (3 CH)

COMP -865   Business Process Automation (3 CH)

COMP -866   Design Patterns (3 CH)

COMP -867   Software Testing (3 CH)

COMP -868   Web Systems and Technologies (3 CH)

COMP -869   Bio-Statistics (3 CH)

COMP -870   Special Topics in Bioinformatics (3 CH)

COMP -871   Computer Vision (3 CH)

COMP -872   Multimedia Databases (3 CH)

COMP -873   Grid and Cluster Computing (3 CH)

COMP -874   Special Topics in Pervasive Computing (3 CH)

COMP -875   Special Topics in Evolutionary Computing (3 CH)

COMP-876    Speech Recognition and Synthesis (3 CH)

COMP-877    Software Reliability (3 CH)

List of Specialization Core Courses

COMP -803   Advanced Database Management Systems (3 CH)

COMP -804   Advanced Software Engineering (3 CH)

COMP -805   Pervasive Computing (3 CH)

COMP -806   Mobile Ad Hoc Networks (3 CH)

COMP -807   Advanced Wireless Networks (3 CH)

COMP -808   Advanced Analysis of Algorithms (3 CH)

COMP -809   Advanced Networking (3 CH)

COMP -810   Advanced Artificial Intelligence (3 CH)

COMP -811   Advanced Digital Signal Processing (3 CH)

COMP -812   Formal Methods (3 CH)

COMP -813   Advanced Human Computer Interaction (3 CH)

COMP -814   Advanced Information Systems (3 CH)

COMP -815   Information Security (3 CH)

COMP -816   Agile Software Development (3 CH)

COMP -817   Bioinformatics (3 CH)

COMP -818   Evolutionary Computing (3 CH)

COMP-819    Advanced Operating System (3 CH)

 

Note: Detail outlines can be obtained from the Office of IMCS