Learning Outcomes
Upon successful completion of the course, the student should be able to:
- Use Artificial Intelligence (AI) techniques to map problem domains into suitable models for effective and efficient processing;
- Evaluate the efficiency and applicability of different AI concepts, models, and algorithms in a specific problem domain;
- Implement AI algorithms.
Course Content
Search Algorithms
- Search, Beyond classical search and Adversarial search
- Constraint Satisfaction and Optimisation
Knowledge, Reasoning and Planning
- Knowledge Representation and Inference
- Classical Planning
- Markov Decision Processes
Machine Learning
- Reinforcement Learning
- Deep Learning
- Lecturer: Naftali Indongo