Prerequisites for AI:
- Basic knowledge of Mathematics, Computer Science, and Programming.
- Since it’s a beginner-level course, therefore programming skill is not mandatory.
Course Outline:
- Introduction to Artificial Intelligence, its types and applications
- Intelligence and its types
- Intelligent Agents
- Searching Strategies
- Heuristic Searches
- Knowledge Representation
- Rules of inferences, Logic and its tools
- Supervised Learning Algorithms
- Unsupervised Learning Algorithms
- Reinforcement Learning
- AI and Real-world Problems
- Final Evaluation
NOTE:
- This course includes theoretical concepts with the problems provided for the topic.
- There is no such hands-on for this course.
- The course material such as lecture slides, and assignments will be provided on GCR.
- 100 marks for overall session out of which 60% are for quizzes, 15% for assignment, and 25% for final evaluation.
- Assignment can be a numerical problem or any kind of project.
- Quizzes will be comprehensive and detailed.
