Feature | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computing, Digital Electronics, English Communication, Environmental Studies |
Semester 2 | Object-Oriented Programming, Data Structures, Discrete Mathematics, Principles of Management, Financial Accounting |
Semester 3 | Database Management Systems, Operating Systems, Web Technologies, Soft Skills, Artificial Intelligence |
Semester 4 | Computer Networks, Algorithm Analysis and Design, Python Programming, Machine Learning Basics, Business Analytics |
Semester 5 | Deep Learning, Natural Language Processing, Big Data Analytics, Cloud Computing, Elective 1 (IoT, Robotics, etc.) |
Semester 6 | Project Work, Internship, Advanced Machine Learning, Elective 2 (Advanced AI Techniques, etc.), Elective 3 (Blockchain Technology, etc.) |
Core Topics | Related Technologies/Concepts |
---|---|
Introduction to Programming | Python, Java |
Data Structures and Algorithms | Arrays, Linked Lists, Sorting Algorithms |
Mathematics for Machine Learning | Linear Algebra, Calculus, Statistics |
Introduction to Artificial Intelligence | History of AI, Applications of AI |
Machine Learning Fundamentals | Supervised Learning, Unsupervised Learning |
Deep Learning | Neural Networks, Convolutional Neural Networks |
Natural Language Processing | Text Processing, Sentiment Analysis |
Computer Vision | Image Recognition, Object Detection |
Reinforcement Learning | Q-Learning, Policy Gradient Methods |
Big Data Technologies | Hadoop, Spark |
AI Ethics and Society | Privacy, Bias, and Fairness |