Description
This module provides an introduction to some of the many Artificial Intelligence techniques which are currently, or could in the near future, be used to enhance the development of intelligent systems applied to various application domains.
Aims
The aim of this module is to provide the student with knowledge of how artificial intelligence techniques can be used effectively within an application environment to provide intelligence and/or the illusion of intelligence.
Learning Outcomes
By the end of this module the student should be able to:
- Develop a critical understanding of AI techniques and technologies.
- Evaluate the use of AI technologies and techniques in computer games.
- Design and evaluate a suitable ML/AI solution for a data-driven problem
Indicative Content
1 'Traditional' AI:
Rule Based Systems, Finite State Machines.
2 Academic AI Techniques:
Fuzzy Logic and Fuzzy State Machines, Case Based Reasoning, Genetic Algorithms, Reinforcement Learning, Probabilistic Techniques, Artificial Neural Networks, Clustering Algorithms.
3 Applications of AI:
Combining AI techniques to produce A-life and Intelligent systems.
4 Machine Learning as a subset of AI:
The ability of a machine to learn from its environment
5 Evaluating AI/ML applications:
The range of metrics available to evaluate AI/ML performance
6 AI/ML pitfals:
Awareness of potential issues of inappropriate application of AI/ML
| Teaching and Learning Method | Hours |
|---|---|
| Lecture | 24 |
| Tutorial/Seminar | 24 |
| Supervised Practical Activity | 24 |
| Unsupervised Practical Activity | 0 |
| Assessment | 80 |
| Independent | 48 |
Guidance Notes
SCQF Level - The Scottish Credit and Qualifications Framework provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.
Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.
Disclaimer
We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2024/5, and may be subject to change for future years.