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