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Course Detail

CZ3005 Artificial Intelligence
Objectives
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)
Outline
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
Eligibility Criteria
Participants who have completed the Specialist Certificate in Software Basics II OR relevant Bachelor degree holder and Polytechnics Diploma with relevant work experiences.
Details
Date(s): 11 Jan 2021 to 07 May 2021
Time: Refer to Class and Exam Schedules
Venue: TR+15
Closing Date of Registration: 30 Nov 2020
Course Fee Payable:(Inclusive of GST) Refer to the course fee table

Subsidy/Funding
MOE (SBMC) No
E2I No
SSG Yes
Academic Units (AU)
Number of AU: 3
Online Registration
Closed
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Method of Payment
  1. Online Credit/Debit Card Payment (VISA and Mastercard only)
  2. Cash/Cheque/NETS payment at One-Stop@SAC (NTU Main Campus)
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
  1. Course is subject to a minimum participation number before commencement.
  2. Course is subject to a first-come-first-serve basis.
  3. Registration is non-transferable.
  4. Student must meet all eligibility criteria for admission.
  5. Student is required to complete all assessments for each course.
  6. PaCE@NTU​ reserves the right to change or cancel any course or lecturer due to unforeseen circumstances.
  7. All details are correct at time of dissemination.
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  5. To issue certificate to the course participants.
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  7. To understand and study the profile of its course participants for NTU’s policy making and planning.
  8. To deal with any matter related to the course.
Full Data Protection and Privacy Statement : CLICK HERE
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