Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Year | Full-time | Private |
Semester | Subjects | Topics |
---|---|---|
1 | Introduction to Programming Mathematics for Computer Science Introduction to Artificial Intelligence | Programming basics, Data types, Control structures Linear Algebra, Calculus, Statistics History of AI, Applications, and Future of AI |
2 | Data Structures and Algorithms Database Management Systems Principles of Machine Learning | Arrays, Linked Lists, Trees, Graphs, Sorting and Searching Algorithms ER Models, SQL, NoSQL Supervised and Unsupervised Learning, Regression, Classification |
3 | Operating Systems Computer Networks Deep Learning Fundamentals | Processes, Threads, Memory Management OSI Model, TCP/IP, Routing Algorithms Neural Networks, Backpropagation, Convolutional Neural Networks |
4 | Object-Oriented Programming Web Technologies Advanced Machine Learning | Classes, Objects, Inheritance, Polymorphism HTML, CSS, JavaScript, Web APIs Decision Trees, Random Forests, SVM, Ensemble Methods |
5 | Software Engineering Natural Language Processing Artificial Intelligence in Business | Software Development Life Cycle, Agile Methodologies Tokenization, Lemmatization, Syntax Tree, NLP applications AI strategies for business, Case studies |
6 | Project Work (AL-ML) | Capstone project involving the design and implementation of an AI/ML solution |
Module | Topics |
---|---|
Introduction to AI & ML | History of AI, Basics of Machine Learning, AI vs ML vs Deep Learning, Applications |
Data Preprocessing | Data Cleaning, Data Integration, Data Transformation, Data Reduction |
Machine Learning Algorithms | Supervised Learning, Unsupervised Learning, Reinforcement Learning |
Deep Learning | Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks |
Natural Language Processing (NLP) | Text Processing, Sentiment Analysis, Chatbots |
AI & ML Tools and Libraries | TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy |
Projects and Case Studies | Real-world Applications, Industry Projects, Research Projects |