Teaching Courses

Computer Science Curriculum & Instruction

Courses Taught

Artificial Intelligence & Machine Learning
  • Artificial Intelligence
  • Machine Learning
  • Computer Vision
  • Image Processing
  • Emerging Technologies
Programming & Software Development
  • Programming Fundamentals
  • Java Programming
  • Web Programming
  • Microprocessor and Assembly Language Programming
Data Management & Algorithms
  • Fundamentals of Database Systems
  • Advanced Database System
  • Data Structure and Algorithms
  • Algorithm Analysis
Networking & Security
  • Data Communication and Networking
  • Wireless Communication and Mobile Computing
  • Computer Security
Research & Academic Methodology
  • Research Methods in Computer Science

Teaching Philosophy & Approach

Student-Centered Learning

Focus on creating an interactive learning environment where students actively participate in knowledge construction through practical exercises, discussions, and collaborative projects.

Practical Application

Emphasize hands-on experience with real-world projects and case studies to bridge theoretical concepts with practical implementation in computer science.

Progressive Skill Building

Structure courses to build foundational knowledge before advancing to complex topics, ensuring students develop comprehensive understanding and technical proficiency.

Research Integration

Incorporate current research findings and methodologies into course content, encouraging students to engage with cutting-edge developments in computer science.