CSE (Artificial Intelligence and Machine Learning), students study a combination of core computer science principles along with specialized topics in AI and ML. The main topics typically covered in the curriculum include:
Core Computer Science Topics:
- Programming Languages: Python, C++, Java (essential for implementing AI/ML algorithms).
- Data Structures and Algorithms: Basic structures (arrays, linked lists) and algorithm design, focusing on efficient data handling.
- Operating Systems: Concepts like process management, memory handling, and system resources.
- Database Management Systems (DBMS): SQL, data modeling, and the management of large datasets.
AI and ML Specializations:
- Artificial Intelligence: Search algorithms, problem-solving, expert systems, knowledge representation, and reasoning.
- Machine Learning: Supervised, unsupervised learning, and reinforcement learning techniques.
- Deep Learning: Neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs).
- Natural Language Processing (NLP): Text mining, sentiment analysis, speech recognition, and chatbots.
- Computer Vision: Image processing, object detection, and recognition.
- Reinforcement Learning: Decision-making models, Q-learning, and policy optimization.