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Syllabus

Department of
Computer Applications

Syllabus
About MCA
Objectives
Programme Outcomes (POs)
Eligibility
Course Structure
Syllabus
Fee Structure
Admission

Semester 1

  • Mathematical & Statistical foundation for Computer Applications
  • Digital Logic & Computer Organization
  • Structured programming in C
  • Software Engineering and Object oriented modelling
  • Database technology and NoSql
  • Database technology Lab (Mysql & Mongodb)
  • Software Development Lab- I (C programming)
  • Employability Skill Training – Phase 1

Semester 2

  • Optimization Techniques for Computer Applications
  • Data structures and Algorithm Analysis
  • Computer Networking with TCP/IP
  • Data Science & Big data Analysis
  • Object oriented Lab (Java Lab)
  • Software development lab-II (PHP)
  • Data structures Lab using C

Semester 3

  • Machine Learning Techniques
  • Cyber Forensics
  • Elective 1
    • Artificial Intelligence
    • Enterprise Resource Planning
    • Computer Graphics And Multimedia
    • Digital Image Processing
  • Elective 2
    • Cloud computing
    • Cryptography and Network Security
    • Business Management And Information System
    • Internet of Things ( IoT)
  • Python Programming for Data Science
  • Advance Operating System Lab using Linux
  • Mini Project
  • Employability Skill Training-Phase 2

Semester 4

  • Seminar
  • Main Project
  • Course Viva
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