Rhedir gan School of Computer Science and Electronic Engineering

20.000 Credyd neu 10.000 Credyd ECTS

Semester 2

Trefnydd: Dr Llyr Ap Cenydd

To present artificial intelligence (AI) – fundamental concepts, theories, tools and technologies – in the applied setting of developing computer games.

Indicative content includes:

• Introduction to Artificial Intelligence (AI) technologies and how they can be used to construct computer games.
• Introduction to the core topic of the application of AI algorithms and approaches in modern computer games.
• Introduction to the appropriate game enabling technologies for designing movement, animation and behaviour for games.
• Introduce how search algorithms can be applied within a game context.
• Introduce Artificial Life concepts and their application in games.
• Provide practical experience of developing AI agents and techniques in a game engine.

da

Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

ardderchog

Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

trothwy

Equivalent to 50%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

1. Discuss the state of the art and future of AI in games.

2. Compare and contrast the concepts of artificial life, intelligent agents and behaviour-based AI, and how they can be applied when designing video games.

3. Relate various AI technologies and how they can be applied to construct computer games.

4. Analyse various search and navigation strategies and apply them in developing computer games.

5. Explore concerns over professional, moral and ethical issues over exploiting AI in games.

6. Implement AI algorithms and build games using a game engine.

Math	Enw	Disgrifiad	Pwysau
	Development Blog		30.00
	Examination		30.00
	Game AI Implementation + Code		40.00

		Oriau
Lecture	12 hours over 12 weeks	12
Private study	Background reading, revision, game engine tutorials.	68
Individual Project	Semester wide assignment and report	96
Laboratory	2 hours per week for 12 weeks	24

• Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
• Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
• Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
• Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
• Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
• Adalw gwybodaeth - Gallu mynd at wahanol ac amrywiol ffynonellau gwybodaeth
• Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
• Cyflwyniad - Gallu cyflwyno gwybodaeth ac esboniadau yn glir i gynulleidfa. Trwy gyfryngau ysgrifenedig neu ar lafar yn glir a hyderus.
• Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
• Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.

• Knowledge and understanding of facts, concepts, principles & theories
• Use of such knowledge in modelling and design
• Problem solving strategies
• Deploy theory in design, implementation and evaluation of systems
• Recognise legal, social, ethical & professional issues
• Specify, design or construct computer-based systems
• Evaluate systems in terms of quality and trade-offs
• Development of general transferable skills
• Methods, techniques and tools for information modelling, management and security
• Defining problems, managing design process and evaluating outcomes
• Knowledge and/or understanding of appropriate scientific and engineering principles
• Knowledge and understanding of mathematical principles
• Knowledge and understanding of computational modelling

Opsiynol mewn cyrsiau:

• G5BA: MSc Computing year 1 (MSC/COMP)
• G5BD: MSc Rise of the Machines year 1 (MSC/MACH)