Fundamentals of Artificial Intelligence
| Code | School | Level | Credits | Semesters |
| COMP1008 | Computer Science | 1 | 10 | Spring UK |
- Code
- COMP1008
- School
- Computer Science
- Level
- 1
- Credits
- 10
- Semesters
- Spring UK
Summary
Through a two-hour lecture once a week, this module gives you a broad overview of the fundamental theories and techniques of Artificial Intelligence (Al). You will explore how computers can produce intelligent behaviour, and will consider topics such as the history of Al, search techniques, machine learning, game playing techniques, philosophical issues, and knowledge representation and reasoning.
Target Students
Available to Level 1 students in the School of Computer Science. Available to students with intercalated year in computer science. This module is not available to students not listed above without explicit approval from the module convenor(s). This module is part of the Artificial Intelligence, Modelling and Optimisation theme in the School of Computer Science.
Assessment
- 25% Coursework 1: One written coursework report. Reassessment is 100% exam.
- 75% Exam 1 (2-hour): Reassessment is 100% exam.
Assessed by end of spring semester
Educational Aims
To introduce students to Artificial Intelligence, its history and some key AI techniques.Learning Outcomes
Knowledge and Understanding:
- Knowledge of key AI techniques.
Intellectual Skills:
- The ability to think independently while giving due weight to the arguments of others;
- The ability to analyse algorithms.
Professional Skills:
- The ability to evaluate available AI techniques and select those appropriate to a given problem.
Transferable Skills:
- The ability to solve problems and communicate effectively in writing.