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)
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.
|Who Should Attend|
Working professionals with prior knowledge of:
Pre-requisite: CZ1003 Introduction to Computational Thinking, CZ2001 Algorithms
|Date(s):||13 Aug 2018 to 07 Dec 2018|
|Time:||Refer to Class and Exam Schedules|
|Venue:||NTU Main Campus|
|Closing Date of Registration:||17 Jun 2018|
Full Course Fee :
Singapore Citizen /Singapore PR1 21 to 39 years old :
Singapore Citizen1 40 years or older2 :
Singapore Citizen1 Eligible for WTS3 :
Singapore PRs ≥ 21 years older
Enhanced Training Support for SMEs4 :
|Method of Payment|
|Withdrawal & Refund Policy|
|Once payment is made, applicant is committed to the completion of course. Course fee refunds will not be considered.|
|Terms and Conditions|
|At PaCE College, participants’ personal information is collected, used and disclosed for the following purposes: