Fundamentals of Artificial Intelligence
| Code | School | Level | Credits | Semesters |
| COMP1032 | Computer Science | 1 | 10 | Spring Malaysia |
- Code
- COMP1032
- School
- Computer Science
- Level
- 1
- Credits
- 10
- Semesters
- Spring Malaysia
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'll 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
Available to Level 1 students in the School of Computer Science. Available to inter-campus mobility students and other exchange students 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.
Classes
- One 2-hour practicum each week for 10 weeks
- One 2-hour practicum each week for 10 weeks
- One 2-hour lecture each week for 10 weeks
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Assessment
- 25% Coursework: One written coursework report. The reassessment for this module will be 100% Examination.
- 75% Exam 1 (1-hour-30-minute): 2 hour written examination. The reassessment for this module will be 100% 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
- Muhammad Nasir Ibrahim
- Dr Iman Liao Yi