Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Institution | Full-time | Academic Institution |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computing, Digital Fundamentals, English Language and Communication Skills, Environmental Studies |
Semester 2 | Data Structures, Object-Oriented Programming, Database Management Systems, Discrete Mathematics, Financial Accounting |
Semester 3 | Operating Systems, Web Technologies, Computer Networks, Management and Accounting, Software Engineering |
Semester 4 | Java Programming, Algorithm Analysis and Design, Computer Graphics, Microprocessor and Assembly Language, Organizational Behavior |
Semester 5 | Internet Programming, Multimedia Applications, Artificial Intelligence, System Programming, Project Work (Part 1) |
Semester 6 | Cloud Computing, Cyber Security, Mobile Application Development, Elective, Project Work (Part 2) |
Module | Topics |
---|---|
Introduction to Artificial Intelligence & Machine Learning | History of AI, Foundations of Machine Learning, AI vs ML vs Deep Learning, Applications of AI & ML |
Python for AI & ML | Python Basics, Libraries for AI & ML (NumPy, Pandas, Matplotlib, Scikit-learn), Data Manipulation |
Data Preprocessing | Data Cleaning, Data Transformation, Handling Missing Values, Feature Scaling, Data Visualization |
Machine Learning Algorithms | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks, Decision Trees, SVM, Clustering |
Deep Learning | Introduction to Neural Networks, CNN, RNN, LSTM, Implementing Deep Learning Models, TensorFlow & Keras |
Natural Language Processing (NLP) | Text Processing, Sentiment Analysis, NLP Libraries, Chatbots, NLP Applications |
AI & ML Project Management | Project Lifecycle, Agile for AI Projects, Data & Model Management, Deployment, Monitoring & Maintenance |