Introduction
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.
Pre-requisite: CZ1003 Introduction to Computational Thinking, CZ2001 Algorithms
*This course is credit-bearing and stackable to Specialist Certificate in Intelligent Systems and Specialist Certificate in Data Centre (Site Ops).
Course Availability
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Date(s): 08 Aug 2022 to 02 Dec 2022
Time: Day class.
Schedule: Download here
Venue: NTU Main Campus
Registration is closed.
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.
- Human brain and Cognitive structure: thinking and acting. The foundation of AI.
- Structure of intelligent agents
- Procedural Representation (Algorithmic)
- Symbolic Representation (Knowledge Engineering)
- Understand what Artificial Intelligence is about and appreciate its relevance to Computer Science and importance for IT and society.
- Understand the human cognitive organisation in problem solving and appreciate the ethics involved in the application of AI techniques.
- 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.
- 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.
- 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.
Pre-requisite: CZ1003 Introduction to Computational Thinking, CZ2001 Algorithms
Standard Course Fee: S$2,956.41
Course fee payable after SSG funding, if eligible under various schemes | |
Cat-A SSG Funded Courses | S$886.92 |
Enhanced Training Support for SMEs (ETSS) | S$334.32 |
Mid-Career Enhanced Subsidy (MCES) | S$334.32 |
- All fees stated are inclusive of 7% GST
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Specialist Certificate in Intelligent Systems
COURSE TITLE | ACADEMIC UNIT |
CZ4041 Machine Learning | 3 |
CZ4042 Neural Networks and Deep Learning | 3 |
CZ4046 Intelligent Agents | 3 |
Specialist Certificate in Data Centre (Site Ops)
COURSE TITLE | ACADEMIC UNIT |
CZ4041 Machine Learning | 3 |
CZ4032 Data Analytics and Mining | 3 |
CZ4046 Intelligent Agents | 3 |
CZ4064 Security Management | 3 |
Listed courses are:
- Credit-bearing and stackable to the above mentioned Specialist Certificates.
- SSG funded and SkillsFuture Credit approved.