| Course Code: | CSC303M3/CSC308S3 |
| Course Title: | Artificial Intelligence |
| Credit Value: | 03 |
| Core/Optional: | core |
| Hourly Breakdown: | Theory | Practical | Independent Learning |
| 30 | 30 | 140 |
| Objectives: | Provide in-depth knowledge on design and analysis of intelligent systems for solving problems that are difficult or impractical to resolve using traditional approaches |
| Intended Learning Outcomes: | - Formulate an efficient Intelligent system model for a problem expressed in natural language
- Use knowledge representation for theorem proving based on resolution procedure
- Apply appropriate uninformed, informed or local search algorithms for solving problems
- Develop logic programs with the significance of language semantics
- Devise a plan of action to achieve a goal using standard AI methods
- Illustrate the working of natural language processing techniques
|
| Contents: | - Introduction: Practical examples of artificial intelligence, intelligent agents, environments, intelligent behaviour, rational behaviour & Turing test
- Problem Solving by Searching: Problem-solving agents, uninformed search strategies, informed (Heuristic) search strategies
- Local Search and Optimization Algorithms: Hill climbing search, simulated annealing, local beam search, genetic algorithms, searching in different environments, adversarial search
- Planning: Classical planning, planning as state-space search
- Knowledge Representation: Horn clause, resolution, theorem proving, ontology engineering, representing objects and events
- Natural Language Processing: Language models, text classification, information retrieval, information extraction
|
| Teaching/Learning Methods: | Lectures, Tutorial discussions, Guided learning, Assignments |
| Assessment Strategy: | - In-course Assessments (Theory) —————————–15%
- In-course Assessments (Practical) —————————15%
- End-of-course Examination ———————————---70%
|
| References: | - S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd Ed., Prentice Hall, 2010.
- G.F. Luger, Artificial Intelligence – Structures and Strategies for Complex Problem Solving, 6th Ed., Pearson & Addison Wesley, 2009.
- P. H. Winston, Artificial Intelligence, 1st Ed., Addison Wesley, 1993.
|