Course Description

Course Name

Artificial Intelligence

Session: VDNS3121

Hours & Credits

18 Credit Points

Prerequisites & Language Level

Taught In English

  • There is no language prerequisite for courses at this language level.


An introduction to modern AI representation systems and problem-solving techniques.

Teaching Arrangements
There are two lectures per week, plus weekly lab or tutorial sessions.

Course Structure
In the first part of the paper we will look at some different definitions of intelligence and at the concept of intelligent agents. As a way of focusing on the hard problems to be solved in AI, we will do some practical work with LEGO robots, concentrating on the issue of how to get information about the world and how to make use of it. In the second part of the paper, we will consider techniques for machine learning and probabilistic reasoning. Almost every human ability results from learning from experience: we will look at how these learning processes can be modelled computationally. Topics to be considered include:
- Decision trees
- Genetic algorithms
- Neural networks
- Bayesian networks and Bayesian reasoning
- Probabilistic reasoning over time
- Dynamic Bayesian networks
- Hidden Markov models
- Statistical learning methods

- Two assignments 28%
- Participation in tutorials and tutorial exercises 12%
- Final exam 60%

Learning Outcomes
- Students will gain an understanding of some of the core concepts in symbolic AI research: autonomous agents, planning and search, logical knowledge representation formalisms, grammars for representing knowledge of natural language
- Students will gain an understanding of some of the core concepts in sub-symbolic AI research: sensory perception, motor control, machine learning, decision trees, neural networks
- In each case, this understanding will be strengthened through practical exercises and experience with implemented systems
-The paper will also give students an awareness of the increasing influence of these technologies in daily life

Artificial Intelligence A Modern Approach (Third Edition) , by Stuart Russell and Peter Norvig, Prentice Hall 2010.

*Course content subject to change