​​To provide the students with an understanding of the fundamental concepts involved in natural and artificial intelligence (ASO, PSO, neural networks, evolutionary computing, robotics and genetic computing).​

​A. Knowledge and understanding

Upon completion of this module the student will gain knowledge and  understanding of:

1. The aims of, and motivations for, artificial intelligence;
2. The principal techniques used in traditional approaches to artificial intelligence, i.e. knowledge representation and search;
3. The four key principles of nouvelle AI: interaction, emergence, adaptation and selection;
4. The biological basis of modern techniques in AI;
5. Key concepts and methods in artificial neural networks;
6. Key concepts and methods in evolutionary computation.​

B. Cognitive skills

Upon completion of this module the student will be able to:

1. Analyse a problem in terms of its amenability to solution by various computational methods;
2. Formulate computational solutions to diverse problems;
3. Select and use appropriate mathematical representations for a range of problem solving systems;
4. Compare, contrast and evaluate competing approaches to computational problem solving and the simulation of intelligence;
5. Synthesise the main concepts of the module into a clear and critical view of the strengths, weaknesses and future direction of AI.​

C. Practical and professional skills

Upon completion of this module the student will be able to:

1. Analyse, design and evaluate computer simulations;
2. Construct computer systems using an appropriate tool;
3. Carry out experiments, with careful recording, analysis and evaluation of results;
4. Use basic research techniques​

D. Key transferable skills 

Upon completion of this module the student will be able to:

1. Apply appropriate computational problem-solving techniques to a range of problems;
2. Communicate computational ideas relating to AI in clear and concise written English;
3. Use appropriate graphical, logical and mathematical representations to characterize various types of AI system;
4. Exercise general numeracy and problem-solving skills.​​