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Computer Science & Engineering
Short Term Course on
Digital Image Processing
Courses
Under Graduate
Post Graduate
M.C.A
 
COURSE STRUCTURE FOR UNDER GRADUATE
In pursuit of academic excellence, NIT Rourkela has started credit system of evaluation from the session 2002-2003.
1st Semester
L
T
P
C
1.1
 English
2
0
0
2
1.2
Intro. to Computer & Prog.
2
1
3
5
1.3
 Physics-I
2
1
3
5
1.4
 Chemistry-I
2
1
3
5
1.5
 Mathematics-I
3
1
0
4
1.6
 Engineering Drawing
2
1
3
5
1.7
 Basic Electrical Engineering
3
1
0
4
1.8
 Workshop Practice
0
0
3
2
  Total
32
2nd Semester
L
T
P
C
2.1
 Engineering Mechanics
3
1
0
4
2.2
Industrial Psychology
2
0
0
2
2.3
 Physics-II
2
1
3
5
2.4
 Chemistry-II
2
1
3
5
2.5
 Mathematics-II
3
1
0
4
2.6
 Basic Electronics
3
1
0
4
2.7
 Machine Drawing
2
1
3
5
2.8
 Workshop Practice
0
0
3
2
  Total
31
* Note : L-Lecture, T-Tutorial, P-Practical and C-Credits
3rd Semester 4th Semester
3.1
 Mathematics-III
4.1
 Mathematics-IV
3.2
 Discrete Mathematical Structure
4.2
 Data structures
3.3
 Computer Programming
4.3
 Operating System
3.4
 Digital Electronics
4.4
 Computer Organization
3.5
 Analog Electronics -I
4.5
 Data Communication -I
Sessional Sessional
1
 Electronics Laboratory
1
 i) C.O. Laboratory
i) Analog Lab   ii) O.S. Laboratory
ii) Digital Lab
2
 Programming Lab. - II (DS using C, C++)
2
 Programming Lab. - I (Pascal, C, C++)    
5th Semester 6th Semester
5.1
 Software Engineering - I
6.1
 Algorithm Analysis and Design
5.2
 Database Management System
6.2
 System Software and Compiler Design
5.3
 Microprocessors
6.3
 Signal and System
5.4
 Theory of Computation
6.4
 Software Engineering
5.5
 Computer Graphics
6.5
 Operation Research
Sessional Sessional
1
 Micro-processor Lab.(8085 & Assembly Language programming using MASM)
1
 VLSI Lab
2
 Programming using Lab.-III
2
 Programming Lab.-IV (O.R)
3
 a) Data Processing (COBOL Database Design)
3
 System programming -II (C.D)
b) Computer Graphics
4
 A.A.D. Lab. Using Java
7th Semester 8th Semester
7.1
 Computer Networks
8.1
 Artificial Intelligence
7.2
 Digital Signal Processing
8.2
 Computer Architecture
7.3
 Compiler Design
8.3
 Elective-III
7.4
 Elective-I
8.4
 Elective-IV
7.5
 Elective-II
8.5
 Project Major
7.6
 Project Minor
8.6
 Topic Seminar
Sessional Sessional
1
 Artificial Intelligence & Applications
1
 Project (Major)
2
 Software Engineering - II
2
 Artificial Intelligence Lab.
3
 Electives - III
3
 Practical Training
4
 Electives - IV
4
 Viva-voce
 
5
 Seminar
Electives
E.1
 Testing and Testability
E.2
 Fuzzy System and Soft Computing
E.3
 Fault Tolerant Computing
E.4
 Image Processing
E.5
 Distributed Systems
E.6
 Simulation and modeling
E.7
 Information Theory and Coding
E.8
 Parallel and Distributed Algorithms
E.9
 VLSI System Design
E.10
 Parallel Algorithms
E.11
 High Speed Networking
E.12
 Computer Architecture
E.13
 Data Compression
E.14
 Cryptography and Network Security
E.15
 High Performance Computing
E.16
 Data Mining
E.17
 Object Oriented Analysis and Design
E.18
 Network Engineering
E.19
 Object Oriented Software Development
E.20
 Organizational Structure and Personal Management
E.21
 Written and Oral Technical Communication
E.22
 Principles of programming languages
E.23
 Optical Networks
E.24
 Advanced Operating System