#1
September 16th, 2016, 10:39 AM
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Department of Computer Science Pune University
Can you provide me the syllabus of M Sc Degree Program as offered by Department of Computer Science Pune University?
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#2
September 16th, 2016, 11:16 AM
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Re: Department of Computer Science Pune University
The M Sc Degree Program as offered by Department of Computer Science Pune University prepares one for higher studies in Computer Science. The duration of the study is four semesters, which is normally completed in two years. A year long project provides an opportunity to apply the principles to a significant problem. Selection is through the Qualifying Exam and satisfying the eligibility criteria. Common Courses (First two semesters) • Semester 1 CS-101 Introduction to Programming CS-102 Logical Organization of Computers CS-103 Mathematical Foundations CS-104 Concrete Maths & Graph Theory CS-105 Numerical Methods • Semester 2 CS-201 Data Structures & Algorithms CS-202 Theoretical Computer Science CS-203 Low-level Programming CS-205 Computer Architecture and Operating Systems CS-206 Programming Paradigms Courses Specific to M.C.A. (Last four semesters) • Semester 3 CS-204 Design & Analysis of Algorithms CS-301 Database Management System CS-302 Computer Networks CS-303 Systems Programming • Semester 4 CS-305 Computer Graphics CS-401 Modelling and Simulation CS-402 Operations Research CS-403 Systems Analysis and Design Elective-1 • Semester 5 Full-time Industrial Training • Semester 6 CS-304 Science of Programming CS-601 Software Engineering Elective-2 Courses Specific to M. Sc. (Last two semesters) • Semester 3 CS-204 Design & Analysis of Algorithms CS-301 Database Management System CS-302 Computer Networks CS-303 Systems Programming CS-MSP Degree Project I • Semester 4 CS-304 Science of Programming CS-601 Software Engineering CS-MSP Degree Project II Elective-1 Elective Courses (offered in the last few years) • Advanced Computer Architecture • Advanced Theoretical • Computer Science • Advanced Topics in DBMS • Artificial Intelligence and Tools • Category Theory • Code Optimization • Compiler Construction • Data Warehousing and Mining • Discrete Optimization • Implementation of RDBMS • Geometric Modelling • Issues in Programming • Logic Programming • Parallel Algorithms • Parallel Architectures • Programming Languages:Theory and Implementation • Soft Computing • Software Tools • Spatial Information Systems • System Management and Modeling • User Interface Design |
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