# University of Pune MSc Admission Cum Fellowship Test 2013

## MSc Admission Fellowship Test Details

**IISC MSc Admission Test 2013 :**

The University of Pune, Interdisciplinary School of Scientific Computing will conduct a **MSc Admission Cum Fellowship Test.**

**Pune University MSc Admission Cum Fellowship Test Date :** **3rd February, 2013.**

Pune University admissions are done purely on basis of merit in Entrance Exam, which is be conducted once a year.

**Pune University Eligibility MSc admission 2013 :**

- 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 Government rules ).

**Nature of Pune University MSc Entrance Exam 2013 :**

University of Pune MSc test will be of 2 hours with approximately equal weightage to the following 4 topics. All questions will be with multiple choice questions.

- Logical ability.
- Elementary mathematical skills including Calculus, Linear algebra, Graph plotting, Combinatorial analysis, etc.
- Computer fundamentals and C – programming.
- English.
- Number of Questions : 72
- Marks per question : 1 Mark
- Total Marks : 75
- Passing criteria : Based on Merit
- Negative marking : -1 / 3 for each wrong answer

**Pune University MSc Exam Application 2013 :**

University of Pune Entrance Exam form should be accompanied by the following :

- Demand Draft of 500/ – ( 350/ – in case of reserved categories drawn in favour of
**“Registrar, University of Pune”.** - Two postal stamps worth 10/ – each.

**Important Dates for Pune University MSc Exam 2013 :**

Start date of Online application | 22nd December, 2012 |
---|---|

End date of Online application | 30th January, 2013 |

Last date for submission of application form | 30th January, 2013 |

Date of Entrance Test | 3rd February, 2013 |

Time of Entrance Test | 02:30pm to 04:30pm ( Reporting Time 01:30pm ) |

Date of declaration of result of the Entrance test | April 1st Week |

Date of GD / PI | - |

Date of publishing the merit list | After B.Sc. Result |

Date of publication of successive merit list | - |

Date of admission | - |

Date of Commencement of the course | Second week of July |

## MSc Admission Test Syllabus

**Pune University IISC MSc Syllabus 2013 :**

**Principles of Programming Languages I :**

Introduction and Motivation Algorithm Analysis Techniques, Algorithm Design Techniques, Graph Theory, NP – Completeness.

**Software Engineering :**

Introduction to software engineering, The software process, Software engineering practice, Software constructions and implementation, Advance topics in software engineering.

**Advance Database Management Concepts ( ADBMC ) :**

Review of Database management concepts. Data storage, Database file structure and Implementation of Indexes Query processing and optimization Transaction management Parallel and distributed databases Object oriented database design Data Mining.

**Mathematics for Scientific Computing :**

Functions, Limits, Continuity, Differentiation & Integration Linear Algebra and Matrices Infinite Series Fourier Series and Fourier Integral Ordinary Differential Equations Partial Differentiation Vector Analysis.

**Computational Laboratory I :**

Experts from industry will guide projects, which will be based on current technologies.

**Principles Of Programming Languages II :**

C++ Basic Facilities Data types,Variables, declarations Pointers and arrays and Structures Dynamic memory. Expressions and statements Various Types of Functions ( Inline, Friend etc ) Name spases and Exceptions Concept of Classes, Types of Classes. Encapsulation, Conversions, Type Promotion, Default Arguments and Type Casts. Operator Overloading Inheritance, Virtual Functions, Templates, Exception Handling.

**LISP :**

Introduction, The LISP Programming Language, Pattern Matching, Knowledge Representation Searching.

**Operating System Concepts :**

Introduction to UNIX Implementation of buffer cache File system, Process, Process Scheduler, Memory Mangement Techniques Time and Clock, I / O Subsystems, Interprocess Communication, and thread communication.

**Numerical Methods For Scientific Computing I :**

Number Systems and errors Linear Equations Algebraic eigenvalue problem Curve Fitting and Functional approximation Numerical Differentiation & Integration.

**Computational Laboratory II :**

Experts from industry will guide projects, which will be based on current technologies.

**Network Concepts :**

Review of basic concepts of Data Communication, Transport and Session Protocols, Internetworking, Presentation Layer, Application Layer, Fiber Optic Networks, Satellite Networks.

**Scientific Visualization :**

Introduction to computer graphics, Raster graphics techniques, Vectors and their use in graphics, Transformation of pictures, 3 – D viewing with synthetic camera, 3 – D graphics, Write Frame Models, Hidden Line and Surface Removal, Backface Culling, Light and Shading Models , Rendering Polygonal Masks Flat, gouraud, phone shading, Ray Tracing, Introduction to multimedia and animation.

**Numerical Methods for Scientific Computing II :**

Numerical Differentiation and Integration, Numerical Methods for Ordinary Differential Equations, Optimization – Golden Search Methods, Brent’s procedure, quasi – Newton Methods, Direction Set Methods.

**Elective Courses :**

**EL – I Parallel Computing and Grid Computing :**

Introduction Solving Problem in parallel Structure of parallel computers Programming parallel computers Case Studies Grid Computing.

**EL – II Applications of Computers to Chemistry :**

Computational Chemistry, Fundamentals of Chemistry, Molecular Representations and Search Molecular Graphics and fitting Force Field (FF) Methods Classical energy minimization techniques Conformational Analysis, Semi – empirical QM calculations Molecular Docking Molecular Descriptors Quantitative Structure Activity, Relationship Futuristic modeling techniques.

**EL – III Statistical Computing** :

Introduction to statistical computing, Random Number Generation, Monte Carlo Methods, Non – linear Statistical Methods, Multiple Linear Regression Analysis.

**EL – IV Computer Applications in Physics :**

Monte Carlo Methods, Numerical Solutions of Schrodinger equations, Electronic Structure Calculation on simple solids, Classical Molecular Dynamics.

**EL – V Biological Sequence Analysis :**

Analysis of DNA and Protein sequence, Sequence alignment, Fragment assembly, Genome sequence assembly, Neural network concepts and secondary structure prediction Probabilistic models, Evolutionary analysis.

**EL – VI Modeling of Biological Systems :**

Concepts and principles of modeling. Limitations of models, Models of behavior, Modeling in Epidemiology and Public Health SIR models.

**EL – VII Artificial Intelligence :**

Introduction to Artificial Intelligence Game playing Knowledge representation using predicate logic Knowledge representation using non monotonic logic Planning Perception Learning Neural Networks Natural language processing Expert system.

**EL – VIII Software Testing :**

Introduction to software testing and analysis, Specification – based testing techniques, Code – based testing techniques, Unit testing, Integration testing, OO – oriented testing, Model – based testing, Static analysis, Dynamic analysis, Regression testing, Methods of test data generation and validation, Program slicing and its application, Reliability analysis, Formal methods; verification methods; oracles, System and acceptance testing.

**EL – IX Soft Computing :**

Fuzzy logic, Neural Networks, Genetic Algorithms.

**EL – X Design Concepts and Modeling :**

Introduction to design process, Inception phase, Elaboration phase, Construction phase, Transition phase.

**Industrial Training :**

At the end of the Fourth Semester, student will be examined in the course R & D / Industrial Training.

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