Fundamentals of Artificial Intelligence
| Code | School | Level | Credits | Semesters |
| COMP1037 | School of Computer Science | 1 | 10 | Spring China |
- Code
- COMP1037
- School
- School of Computer Science
- Level
- 1
- Credits
- 10
- Semesters
- Spring China
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 (AI). You will explore how computers can produce intelligent behaviour, and will consider topics such as the history of AI, search techniques, data mining, machine learning, game playing techniques, neural networks, philosophical issues, and knowledge representation and reasoning.
Target Students
Qualifying year undergraduate students in the School of Computer Science.This module is part of the AI, Modelling and Optimisation theme in the School of Computer Science.
Classes
- One 2-hour practicum each week for 12 weeks
- One 2-hour lecture each week for 12 weeks
Assessment
- 25% Coursework 1: Two pieces of coursework(Programming assignment)
- 75% Exam 1 (1-hour-30-minute): 1.5 hr written examination
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.
Conveners
- Dr Qian Zhang