Artificial Intelligence
- Cod y Modiwl
- CS26520
- Teitl y Modiwl
- Artificial Intelligence
- Blwyddyn Academaidd
- 2027/2028
- Semester
- Semester 2
- Cyd-gysylltydd y Modiwl
- Dr Richard Jensen
- Rhestr Ddarllen
- Gweld ar Aspire
- Cyd-Ofynion
-
CC21120 neu CS21120
- Staff Eraill sy'n Cyfrannu
- Dr Richard Jensen
- Dr Myra Wilson
Dulliau Asesu
|
Math o Asesiad |
Manylion Asesiad |
Cyfran |
|---|---|---|
| Asesiad Semester | Blackboard test: 2 Awr | 30% |
| Arholiad Semester | Written exam: 2 Awr | 70% |
| Arholiad Ailsefyll | Blackboard test: 2 Awr | 30% |
| Arholiad Ailsefyll | Written exam: 2 Awr | 70% |
Canlyniadau Dysgu
Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:
- Write simple programs to solve problems using an AI technique discussed in the module.
- Demonstrate an understanding of the search techniques discussed in this module.
- Demonstrate an understanding of evolutionary algorithms and swarms.
- Describe the importance of propositional and predicate logic in Artificial Intelligence systems and solve simple problems.
- Apply data mining algorithms to data and interpret the results.
- Explain the function and use of fuzzy logic.
Disgrifiad cryno
This module begins with a motivational section on the foundations of AI and philosophical/ethical considerations before moving on to the main topics. These include knowledge representation, logic and fuzzy logic, data mining (focusing on classification and clustering), search (finding solutions to problems), and evolutionary algorithms and swarms.
Cynnwys
Introduction to AI
What is required to get computers to produce AI? Philosophical debate and ethical issues. Applications of AI.
Knowledge Representation and Logic
Symbolic and sub-symbolic representations, logical representation for problem solving.
Fuzzy Logic
Fuzzy sets and rules. Fuzzy inference.
Data Mining
Overview of data mining. KNN classification. K-means clustering. Hierarchical clustering.
Search
Searching for solutions using both uninformed and heuristic search.
Optimisation with Evolutionary Algorithms and Swarms
Evolutionary algorithms, selection mechanisms, variation operators. Swarm intelligence.
AI in Research
An invited speaker will talk about their current research in AI.
Revision
A recap of the material.
Sgiliau Modiwl
|
Math o Sgiliau |
Manylion Sgiliau |
|---|---|
| Cyfathrebu | Written skills needed for the exam. |
| Datblygu personol a chynllunio gyrfa | Will feed into students' future career plans. |
| Datrys Problemau | In-class test and exam promotes and assesses this. |
| Gwella dysgu a pherfformiad ei hun | In-class test requires self-motivated study and work. |
| Rhifedd | Many AI techniques require number application. |
| Sgiliau pwnc penodol | AI techniques |
| Sgiliau ymchwil | Assessing AI techniques for use in the assessments requires reading and researching other materials. |
| Technoleg Gwybodaeth | Inherent in the topic. |
Nodau
Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 5
Computer Science,Aberystwyth University, Llandinam Building, Penglais, Aberystwyth,
01970 622424 : +44 : +44 (0)1970 622021
cs-office@aber.ac.uk: cs-office@aber.ac.uk
