Science & Technology Course

CZ3005: Artificial Intelligence

Course Type: Certification | Study Mode: Part-Time
Keywords: Undergraduate | IT | Artificial Intelligence

Course Detail

This course introduces topics in human cognition and various well-established paradigms pertaining to the formal representations of artificial intelligence and knowledge engineering for computational problem solving.
1. Human brain and Cognitive structure: thinking and acting. The foundation of AI.
2. Structure of intelligent agents
3. Procedural Representation (Algorithmic)
4. Symbolic Representation (Knowledge Engineering)
Curriculum Overview
a) Understand what Artificial Intelligence is about and appreciate its relevance to Computer Science and importance for IT and society.
b) Understand the human cognitive organisation in problem solving and appreciate the ethics involved in the application of AI techniques.
c) Understand the principles of problem solving and of the state space search approach, be able to efficiently formulate a problem and evaluate its complexity, master various search algorithms, and be capable of selecting and applying these techniques appropriately.
d) Be familiar with techniques for computer-based representation and manipulation of complex information and knowledge, understand formal logic inference and reasoning algorithms, and be able to employ these tools to build knowledge-based systems.
e) Gain awareness of several advanced AI applications and topics such as intelligent agents, constraint satisfaction, game playing, applied expert systems, approximate reasoning, probabilistic reasoning and machine learning.
Entry Requirements
Working professionals with prior knowledge of:
Pre-requisite: CZ1003 Introduction to Computational Thinking, CZ2001 Algorithms
- At least 21 years of age
- Have 2 years of full-time work experience, or have fully discharged full-time NS liability, or are currently employed on a full-time basis.
- Degree in Engineering/Science or
- Polytechnic Diploma with relevant working experience
Other Information
- SkillsFuture Series / SSG
- SkillsFuture Credit
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