Gwybodaeth Modiwlau
Course Delivery
Assessment
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | 2 Hours Blackboard test | 30% |
| Semester Exam | 2 Hours Written exam | 70% |
| Supplementary Exam | 2 Hours Blackboard test | 30% |
| Supplementary Exam | 2 Hours Written exam | 70% |
Learning Outcomes
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.
Brief description
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.
Content
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.
Module Skills
| Skills Type | Skills details |
|---|---|
| Application of Number | Many AI techniques require number application. |
| Communication | Written skills needed for the exam. |
| Improving own Learning and Performance | In-class test requires self-motivated study and work. |
| Information Technology | Inherent in the topic. |
| Personal Development and Career planning | Will feed into students' future career plans. |
| Problem solving | In-class test and exam promotes and assesses this. |
| Research skills | Assessing AI techniques for use in the assessments requires reading and researching other materials. |
| Subject Specific Skills | AI techniques |
| Team work |
Notes
This module is at CQFW Level 5