CE213-5-FY-KS:
Introduction to Artificial Intelligence
PLEASE NOTE: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.
2025/26
Computer Science and Electronic Engineering (School of)
Kaplan Singapore
Full Year
Undergraduate: Level 5
Inactive
Thursday 02 October 2025
Friday 26 June 2026
15
25 February 2025
Requisites for this module
(none)
(none)
(none)
(none)
CE345
BSC G610KS Computer Games
This module provides an introduction to three fundamental areas of artificial intelligence: search, knowledge representation and learning. These underpin all more advanced areas of artificial intelligence and are of central importance to related fields such as computer games and robotics.
Within each area, a range of methodologies and techniques are presented; emphasis is placed on understanding their strengths and weaknesses and hence on assessing which is most suited to a particular task. The module also provides an introduction to the philosophical arguments about the possibility of a machine being able to think. It concludes with a brief overview of systems based on interacting intelligent agents.
The aim of this module is:
- To provide an introduction to three fundamental areas of artificial intelligence: search, knowledge representation and learning.
By the end of this module, students will be expected to be able to:
- Explain and criticise the arguments that have been advanced both for and against the possibility of artificial intelligence.
- Explain and implement standard blind and heuristic search procedures, demonstrate an understanding of their strengths and weaknesses and of how they may be applied to solve well-defined problems.
- Explain the operation of standard production system interpreters, and demonstrate an understanding of their relative merits.
- Explain the operation of a range of established machine learning procedures and demonstrate an understanding of the types of problems for which they are appropriate.
- Demonstrate an understanding of the agent-oriented approach to artificial intelligence, and explain how a multi-agent system of purely reactive agents may be built using a subsumption architecture.
Outline Syllabus
Introduction
- What is AI?
- Is AI possible?
- How is AI possible?
- AI applications
Solving problems by searching
- State space representation
- Search trees and graphs
- Blind search strategies - depth first, breadth first and iterative deepening
- Heuristic search - greedy search and A* search
- Game playing - minimax search, Monte-Carlo tree search
Using knowledge to solve problems
- The importance of domain knowledge
- Rule based systems (Expert systems)
- Forward chaining rule interpreters
- Backward chaining rule interpreters
- AI Ethics
Acquiring knowledge - machine learning
- Decision tree induction
- Introduction to Neural networks
- Reinforcement learning - Q algorithm
- Genetic algorithms
Intelligent agents
- Reactive agents
- Subsumption architectures for purely reactive agents
- Multi-agent systems
This module will be delivered via:
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Vishal Singh, email: v.k.singh@essex.ac.uk.
CSEE School Office, email: csee-schooloffice non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No
No
No
No external examiner information available for this module.
Available via Moodle
No lecture recording information available for this module.
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