Course co-ordinator(s): Dr Chengjia Wang (Edinburgh), Dr Muhammad Najib (Edinburgh), Radu-Casian Mihailescu (Dubai), Drishty Sobnath (Dubai), Dr John See (Malaysia).
Aims:
- To introduce the fundamental concepts and techniques of AI, including planning, search and knowledge representation
- To introduce the scope, subfields and applications of AI, topics to be taken from a list including natural language processing, expert systems, robots and autonomous agents, machine learning and neural networks, and vision.
- To develop skills in AI programming in an appropriate language
Detailed Information
Course Description: Link to Official Course Descriptor.
Pre-requisites: Elementary knowledge of logic at the level of undergraduate Computer Science. Knowledge of high-level programming language concepts..
Location: ALP, Dubai, Edinburgh, Malaysia.
Semester: 1.
Syllabus:
- Search algorithms (depth first search, breadth first search, uniform cost search, A* search)
- constraint satisfaction problems;
- games (min-max, alpha-beta pruning);
- logic, resolution, introductory logic programming
- knowledge representation – logic, rules, frames
- goal and data-driven reasoning
- practical rule-based programming
- Overview of main fields of AI (Vision, Learning, Knowledge Engineering)
- In depth view of one field of AI (e.g. Planning, Natural language)
- Autonomous agents
- Applications of AI
- AI programming
SCQF Level: 9.