Intelligent Systems Techniques (802G5Z)
Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.
We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.
Intelligent Systems Techniques
Module 802G5Z
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Module Outline
This module provides a general introduction to Artificial Intelligence (AI) for postgraduate students. Taking an epistemological perspective, students engage with theories of knowledge and intelligence and get to know related knowledge representation methods and reasoning techniques that are common in AI applications. Alongside the theoretical aspects, students also get hands-on experience in applying and/or implementing the methods and techniques in computer programs.
Module learning outcomes
Discuss theories of knowledge and related developments in Artificial Intelligence in the context of the historic development of the field.
Demonstrate systematic understanding of several established knowledge representation and reasoning methods such as sentential logic, semantic networks, ontologies, fuzzy systems, and Bayesian networks.
Identify, critically assess, and implement computational techniques that are used in common applications of Artificial Intelligence such as automated reasoning, problem-solving, game-playing, or route-finding.
Demonstrate the ability to engage with academic literature and articulate complex issues related to theories of machine intelligence.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 50.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | VACATION Week 5 | 100.00% |
| Multiple Choice questions | Summer Vacation Week 4 Thu 13:30 | 50.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Dr Matteo Acclavio
Assess convenor
/profiles/623544
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.