#1
16th December 2014, 01:00 PM
| |||
| |||
MS (Software Engineering) in VIT Admission Procedure
I want to do MS (Software Engineering) 5 years integrated course form VIT so please give me admission procedure and syllabus of course?
|
#2
17th December 2014, 07:54 AM
| |||
| |||
Re: MS (Software Engineering) in VIT Admission Procedure
Here I am giving you admission procedure and syllabus of MS (Software Engineering) 5 years integrated course at VIT. M.S. in Software Engineering Course Details: Course Name: M.S. in Software Engineering Level: Post Graduate Duration: 5 Years Type: Full Time Course Type: Integrated Degree Eligibility Criteria: Candidate must have pass in Higher Secondary Examination conducted by the state / central board of examination or its equivalent examination with 60% in Physics Chemistry and Mathematics (PCM). Admission Process: There will be no entrance examination for admissions in MS course. Candidates will be called for counseling in the order of merit based on the aggregate of total marks secured in the +2 / Higher Secondary Examination for UG / M. Sc. Biotechnology (5 year integrated) programs. The aggregate of total marks secured in the +2 / Higher Secondary Examination and also based on the performance in Group Discussion and Personal Interview for MBA (5 year integrated) program. The aggregate marks secured in Physics Chemistry and Mathematics in the +2 / Higher Secondary Examination for M.S. Software Engineering program. Syllabus of M.S. Software Engineering Course: UNIVERSITY CORE: Environmental Studies Engineering Chemistry Effective English (Optional-If English Eligibility test is not cleared) English for Engineers – I English for Engineers – II Multivariable Calculus and Differential Equations Ethics and Values Modern Physics Problem Solving using C Comprehensive Examination Foreign Language UNIVERSITY ELECTIVE: University Elective - I University Elective - II PROGRAMME CORE: Basic Electrical and Electronic Engineering Equations Data Structures and Algorithms in C Data Structures and Algorithms Lab Digital Electronics and Microprocessor Digital Electronics and Microprocessor Lab Management Information Systems Differential and Difference Equations Discrete Mathematical Structures Linear Algebra Applied Probability Statistics and Reliability Object Oriented Programming Using C++ Object Oriented Programming Lab Computer Architecture and Organization Programming in Java Programming in Java Lab Object Oriented Analysis and Design Object Oriented Analysis and Design Lab Theory of Computation Database Management Systems Database Management Systems Lab Operating Systems Operating Systems Lab Principles of Software Engineering Computer Networks Computer Networks Lab Requirements Engineering and Management Internet & Web programming Internet & Web programming lab Software Architecture and Design CASE Tools Lab-1 System Programming System Programming Lab Software Construction and Maintenance Software Project Management Open Source Programming Open Source Programming Lab Web Services and Service Oriented Architecture Web Services Lab Mini Project (Team based) Software Testing Software Testing Lab Design Patterns Principles of User Interface Design Software Configuration Management Software Quality and Reliability Software Metrics Software Metrics Lab Distributed Computing Artificial Intelligence and Intelligent Systems Student Project Information and System Security Software Engineering Process Tools and Methods CASE Tools Lab-2 PROGRAMME ELECTIVE: Data Warehousing & Data Mining E- Commerce Biometric Systems Enterprise Resource Planning Geographic Information Systems Basic BioInformatics Multimedia Computing Natural Language Processing Embedded Systems Semantic Web Technologies Mobile Device Programming Multi-core Architectures and Programming Management Information Systems Service Science Formal Methods in Software Engineering Automotive Software Engineering Advanced Database Technology Domain Engineering Advanced Java Programming Software Inspection Sensor Networks Real Time Systems Industrial Automation Systems Storage Technologies High Performance Computing Linux System Programming Mobile and Pervasive Computing Digital Image Processing Knowledge Management Systems Software Reuse CREDIT SUMMARY: Minimum Qualifying Credits Total Credits Offered (UC+UE+PC+PE) UC UE PC PE Contact Details: VIT University Near Katpadi Road, Katpadi Vellore, Tamil Nadu 632014 0416 224 3091 Email: admission@vit.ac.in [MAP]https://maps.google.co.in/maps?q=vit+vellore&hl=en-IN&gbv=2&t=m&z=16[/MAP] |