Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Region | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Digital Fundamentals & Logic Design, English Communication, Environmental Studies, Practical: Programming Lab |
Semester 2 | Data Structures, Discrete Mathematics, Computer Organization and Architecture, Principles of Management, Database Management Systems, Practical: Data Structures Lab |
Semester 3 | Operating Systems, Object-Oriented Programming with Java, Web Technologies, Soft Skills Development, Artificial Intelligence, Practical: Java Programming Lab, Practical: Web Technologies Lab |
Semester 4 | Algorithm Analysis and Design, Computer Networks, Machine Learning, Python Programming, Database Management Systems Advanced, Practical: Python Programming Lab, Practical: Machine Learning Lab |
Semester 5 | Deep Learning, Big Data Analytics, Cloud Computing, Elective I (Choose any one: IoT, Blockchain Technology, Cyber Security), Project Work - I, Practical: Deep Learning Lab, Practical: Big Data Analytics Lab |
Semester 6 | Advanced Machine Learning, Natural Language Processing, Robotics and Automation, Elective II (Choose any one: Advanced Web Technologies, Mobile Application Development, Game Development), Project Work - II, Practical: Advanced Machine Learning Lab, Practical: Natural Language Processing Lab |
Semester | Important Topics in AL-ML |
---|---|
Semester 1 | Introduction to Programming, Basics of Artificial Intelligence, Mathematical Foundations for Machine Learning |
Semester 2 | Data Structures and Algorithms, Probability and Statistics for Machine Learning, Python for Data Science |
Semester 3 | Machine Learning Fundamentals, Linear Algebra for Machine Learning, Database Management Systems |
Semester 4 | Deep Learning Basics, Natural Language Processing, Computer Vision |
Semester 5 | Advanced Machine Learning Models, Reinforcement Learning, Big Data Analytics |
Semester 6 | AI-ML Project, Ethics in AI, Emerging Trends in AI and ML |