32.4 MB - IDRBT

Master of Computer Applications
MCA Course Curriculum
Semester I
• Mathematical Foundations of Computer Science
• Computer Organization and Architecture
• Accounting and Financial Management
• Programming Methodology
• Computer Based Numerical and Statistical
Techniques
• Software Lab -I (Intro to UNIX & C, H/W Installation)
Semester II
• Data and File Structures
• Operating Systems
• Object Oriented Programming
• Computer Based Optimization Techniques
• Software Engineering
• Software Lab - II (ALP, C++ & Java)
Semester III
• Data Base Management Systems
• Internet Technologies
• Computer Networks
• Theory of Computation
• DBMS Lab
• Elective I
Elective I(Any 1 from list)
• Advanced Data Structures (ADS)
• Cryptography (CR)
• Banking Technology (BT)
• Quantitative Techniques in Finance (QTF)
Semester IV
• Data Warehousing
• Algorithmics
• Computer Graphics and Visualization
• Introduction to AI
• Communication Skills (Lab)
• Elective II
Elective II(Any 1 from list)
• Human Computer Interaction (HCI)
• Color Image Processing (CIP)
• Image Processing (IP)
• Grid Computing (GC)
• E-Commerce & Payment Systems (ECPS)
• Computer Vision (CV)
Semester V
• Information Systems Management
• Elective III, IV, V & VI
Elective III, IV, V & VI(Any 4 from list)
• Speech Recognition (SS)
• Unix Network Programming (UNP)
• Language Processors (LP)
• Secure Computing (SC)
• Wireless Sensor Networks (WSN)
• Parallel Computing (PC)
• Embedded System (ES)
• Cryptography (CR)
• Data Mining (DM)
• Graph Theory (GT)
• Text Mining (TM)
• Natural Language Processing (NLP)
• Image Processing (IP)
• Pattern Recognition (PR)
Semester VI
Each student completes a full time project at the
end of which a dissertation is to be submitted.
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