M.Sc. Admissions
50% at B.C.S./B.Sc. (Computer Science) (40% for Reserved categories)
OR
50% at B.E (Computer Science/ IT /E & TC/Instrumentation & allied areas )
(40% for Reserved categories)
It is desirable that the candidates had Maths at 11th & 12th standards.
Those appearing for final examination may also apply. In case of candidates
obtaining equal aggregate marks at entrance examination preference will be
given to candidates performing better upto final exam.50% admissions are
reserved for SC/ST/NT/DT/OBC categories and 3% for physically handicapped
(as per Govt. rules).
The test will be of 2 hours with approximately equal weightage to the
following 4 topics. All questions will be with multiple choice questions.
1. Logical ability
2. Elementary mathematical skills including Calculus, Linear algebra, Graph
plotting, Combinatorial analysis, etc.
3. Computer fundamentals and C-programming.
4. English
M.Phil. Admissions
Eligibility Criteria for admission: MSc (Scientific Computing) / M.C.S./
M.Sc. Computer Science/ MCA (Science Faculty) / M.Sc. or equivalent degree
in any related area with exposure to Computer Programming. Mathematics upto
S.Y.B.Sc. level desirable.
55% / B+ at qualifying degree.
Those who have filled the form in response to the advertisement of UOP and
are eligible as per the above criteria have to appear for the entrance exam.
Note: Admission will be done through entrance Exam followed
by an interview.
NET/SET candidate will be exempted from written examination but they have to
appear for the interview.
Number of Seats: Up to 6 (3 (Open) + 3 (Reserved))
Course Duration: The duration of the full time M.Phil.
Course shall be 12 months extendable by an additional period of one year.
Course Content:
M.Phil course program shall consist of
1. Course work
2. Dissertation work
Course Work: The candidate has to take three theory courses
including Research methodology. The theory courses can be chosen from M.Sc.
(Scientific Computing) programme as advised by the Departmental Committee,
considering the candidates background. Students can also choose courses
offered by CMS and other departments on the University campus with prior
permission from the Director, ISSC and the guide in-charge.
Note: A student having post graduation other than M.Sc
(Scientific Computing) has to undertake the course SC - 204 Numerical
Methods for Scientific Computing – I and can choose other courses from ISSC
or from a different department as mentioned above.
Course Lectures: The course lectures should be attended
along with regular M.Sc. / M.Tech. course in the respective department when
the subject opted is offered.
Dissertation Work: M.Phil students should complete their
thesis work with any recognized guide in Scientific Computing within the
period specified by University rules. Guides shall be assigned by the M.Phil
committee.
Written exam will be comprised of two papers
Paper I will be an objective paper of 60 marks with two
sections.
Section A - 40 marks - aptitude test
Section B - 20 marks - english language proficiency test
Paper II - 60 marks - Subject oriented descriptive
questions based on the syllabus
Eligibility for Interview
Only those candidates who have obtained atleast 40% marks in section A and
40% marks in Section B of paper I will qualify for their evaluation of paper
II. All candidates who fail to secure 40% marks seperately in the two
sections will not have their Paper II graded.
Only those candidates who have secured atleast 50% marks in Paper II will be
eligible for appearing for the interview for admission to M.Phil course.
Eligible candidates will be notified about the date
and timings of the interview which will probably be conducted in the last
week of November.
List of Recognized Guides
| 1. |
Dr. Arjunwadkar Mihir |
Centre for Modeling and
Simulation (CMS) |
| 2. |
Dr. Bedekar Smita |
Interdisciplinary School of
Scientific Computing (ISSC) |
| 3. |
Dr. Barve Sukratu |
Centre for Modeling and Simulation
(CMS) |
| 4. |
Dr. Das Sameer |
Centre for Development of Advanced
Computing (CDAC) |
| 5. |
Dr. Joshi Madhuri |
College of Engineering Pune (COEP) |
| 6. |
Dr. Kadam Sanjay |
Centre for Development of Advanced
Computing (CDAC) |
| 7. |
Dr. Kanhere D.G. |
Centre for Modeling and Simulation
(CMS) |
| 8. |
Dr. Kshirsagar Anjali |
Department of Physics |
| 9. |
Dr. Naik Smita |
Armament Research and Development
Establishment (ARDE) |
| 10. |
Dr. Pal Saurav |
National Chemical Laboratory (NCL) |
| 11. |
Dr. Patwardhan Manasi |
Vishwakarma Institute of Technology
(VIT) |
| 12. |
Dr. Pavitran V.S. |
Vishwakarma Institute of Technology
(VIT) |
| 13. |
Dr. Shah Vaishali |
Interdisciplinary School of
Scientific Computing (ISSC) |
| 14. |
Dr. Vichare Abhijat |
Consultant |
Syllabus for M.Phil Entrance
General Mathematics : Differential & Integral Calculus,
Curve sketching, Linear Algebra, Vectors, Differential Equations.
Discrete Mathematics : Graph Theory, Permutations and
Combinations, Boolean Algebra, Set Theory & Logic
Numerical Methods : Linear & Nonlinear equations, curve
fitting & interpolations, Numerical Integrations, differentiation, Numerical
solutions of Differential Equations
Computer fundamentals : Binary & hexadecimal
representation, Data structures, searching & sorting algorithms
Programming Principles and Languages : C fundamentals,
Fortran, Basics of algorithms, Testing and debugging of codes/pseudocodes.
Statistics : Mean, mode, median, variance, standard
deviation, Correlation, Probability.
Parallel Processing : Implicit parallelism, Pipelining,
Memory System performance, Multithreading, Prefetching, Tasks,
Characteristics of tasks, Task decomposition techniques, MPI calls.
Computational Physics : Newton's laws applied to motion of
objects, projectile motion without air drag and with air drag, Simple
harmonic motion with friction and with driving forces, Planetory motion,
Waves, Radioactive decay.
Interdisciplinary School Of Scientific
Computing (ISSC) -
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