Utkal University 5 yr Integrated MCA Admission 2014 | Fees | Syllabus
Utkal University's Self Financing department offers admission to 5 years integrated Master in Computer Science and Application course. The Department of Maths, Statistics and Computer Science (Department of Computer Science and Application) is responsible for the conduct of this course. The duration of this integrated programme is 5 years divided into 10 academic semesters. The total intake capacity of this course is 60 seats. This integrated academic programme is tailor made for those seeking continued specialization in computer application and technologies. The course of study offers equal emphasis to classroom learning and practical training. Admission to Utkal University 5 yr Integrated Master in Computer Science and Application course is solely based on an entrance test conducted by the university.Candidates are required to take up compulsory project work at semester 10 under the guidance of a project/subject guide.
Number of Seats: 60
Duration of this course: 5 years divided into 10 semesters.
Eligibility: Applicants should posses any one of the following qualifications-
a) Class 12 with subjects of mathematics/statistics/business mathematics
b) Three year diploma in engineering
Selection Procedure: Entrance Test
Utkal University 5 yr Integrated MCA Fees:
Course Fee: Rs.1.7 lakhs to be paid in annual instalments of Rs.30,000/-, Rs.30,000/-, Rs. 30,000/-, Rs.40,000/- and Rs.40,000/- .
Contact person: Dr. Satish Pradhan, Course Co-ordinator Tel. : 2586254 (O)
Utkal University 5 yr Integrated MCA Syllabus:
SEMESTER 1
1.1 MATHEMATICS-I
1.2 BUSINESS PRACTICE
1.3 BASIC ELECTRONICS
1.4 COMPUTER FUNDAMENTALS
1.5 PROGRAMMING TECHNIQUE USING C. 1.1 MATHEMATICS-I.
1.2 PHYSICS-I
1.3 BASIC ELECTRONICS
1.4 COMPUTER FUNDAMENTALS
1.5 PROGRAMMING TECHNIQUE USING C. TOP
SEMESTER 2
2.1 MATHEMATICS-II
2.2 COMMUNICATIVE ENGLISH
2.3 DATA STUCTURE
2.4 DIGITAL ELECTRONICS
2.5 INTRODUCTION TO DISCREATE STRUCTURE 2.1 MATHEMATICS-II
2.2 COMMUNICATIVE ENGLISH
2.3 DATA STUCTURE
2.4 DIGITAL ELECTRONICS
2.5 INTRODUCTION TO DISCREATE STRUCTURE. TOP
SEMESTER 3
3.1 COMPUTER ORGANISATION AND ARCHITECHTURE.
3.2 PROBABILITY AND STATISTICS.
3.3 DATA PROCESSING AND FILE STRUCTURE.
3.4 SCIENTIFIC COMPUTING.
3.5 COMPUTER GRAPHICS AND ANIMATION. 3.1 COMPUTER ORGANISATION AND ARCHITECHTURE.
3.2 PHYSICS-II.
3.3 DATA PROCESSING AND FILE STRUCTURE.
3.4 COMMUNICATION SYSTEM.
3.5 COMPUTER GRAPHICS AND ANIMATION. TOP
SEMESTER 4
4.1 MATHEMATICS-III.
4.2 FINANCIAL ACCOUNTING.
4.3 OBJECT ORIENTED PROGRAMMING & C++.
4.4 OPERATING SYSTEM.
4.5 DATABASE MANAGEMENT SYSTEM. 4.1 DATA COMMUNICATION.
4.2 FINANCIAL ACCOUNTING.
4.3 OBJECT ORIENTED PROGRAMMING & C++.
4.4 OPERATING SYSTEM.
4.5 DATABASE MANAGEMENT SYSTEM. TOP
SEMESTER 5
5.1 COMPUTER NETWORK.
5.2 DIGITAL SIGNAL PROCESSING.
5.3 WEB TECHNOLOGY
5.4 PROFESSIONAL COMMUNICATION SKILL.
5.5 VISUAL & WINDOWS PROGRAMMING. 5.1 COMPUTER NETWORK.
5.2 DIGITAL SIGNAL PROCESSING.
5.3 WEB TECHNOLOGY
5.4 PROFESSIONAL COMMUNICATION SKILL.
5.5 VISUAL & WINDOWS PROGRAMMING. TOP
SEMESTER 6
6.1 BUSINESS PRACTICE-II
6.2 MULTIMEDIA & APPLICATION.
6.3 SOFTWARE ENGINEERING.
6.4 NETWORK PROGRAMMING.
6.5 ANALYSIS & DESIGN OF ALGORITHM. 6.1 JAVA C# AND APPLICATION DEVELOPMENTS.
6.2 MULTIMEDIA & APPLICATION.
6.3 SOFTWARE ENGINEERING.
6.4 NETWORK PROGRAMMING.
6.5 E-COMMERCE. TOP
SEMESTER 7
7.1 ADVANCE ARCHITECHTURE AND INTERFACE.
7.2 PRINCIPLES OF PROGRAMMING LANGUAGE.
7.3 OBJECT ORIENTED ANALYSIS & DESIGN.
7.4 SCURITY IN IT.
7.5 THEORY OF COMPUTATION. 7.1 ADVANCE ARCHITECHTURE AND INTERFACE.
7.2 PRINCIPLES OF PROGRAMMING LANGUAGE.
7.3 OBJECT ORIENTED ANALYSIS & DESIGN.
7.4 WIRELESS NETWORK TECHNOLOGY & IMPLEMENTATION.
7.5 SCURITY IN IT. TOP
SEMESTER 8
8.1 SIMULATION AND MODELING.
8.2 DISTRIBUTED & REAL-TIME OPERATING SYSTEM.
8.3 OPTIMIZATION TECHNIQUES.
8.4 ELECTIVE-I.
8.5 ELECTIVE-II. 8.1 SIMULATION & MODELLING
8.2 DISTRIBUTED & REAL TIME OPERATING SYSTEM.
8.3 MICROPROCESSOR & SYSTEM PROGRAMMING.
8.4 SOFTWARE TESTING
8.5 QUALITY BENCHMARKING AND BPR.
8.6 HUMAN COMPUTER INTERFACE. TOP
SEMESTER 9
9.1 ADVANCE SOFTWARE ENGINEERING.
9.2 ARTIFICIAL INTELLIGENCE.
9.3 MANAGEMENT SUPPORT SYSTEM.
9.4 ELECTIVE-III
9.5 ELECTIVE-IV 9.1 EMBEDDED SYSTEM DESIGN.
9.2 ARTIFICIAL INTELLIGENCE.
9.3 DATA WAREHOUSE AND DATA MINING.
9.4 MOBILE COMPUTING
9.5 ELECTIVE-II. TOP
SEMESTER 10
PROJECT WORK AND VIVA
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