CZ4046: Intelligent Agents (Specialist Certificate in Intelligent Systems)

Provided by NTU Professional and Continuing Education (PaCE@NTU)


Awarded by NTU Professional and Continuing Education (PaCE@NTU)

Course introduction


This course covers an introduction to intelligent agents and multi-agent systems. Students will learned the fundamental understanding of key concepts for agent-based systems, such as reasoning and architectures, cooperative distributed problem solving, and the important concepts in game theory for benevolent and self-interested agents to work together.

Curriculum Overview

Programme Structure

Upon completion of the course, students should be able to:
a) Understand the variety of connotations that agent-based computation implies and appreciate how the field fits into Artificial Intelligence and more broadly, Computer Science.
b) Understand how the importance of reasoning and how this can be incorporated into an embodied agent. Differentiate and motivate various agent architectures. Understand the historical development of the agent architecture field.
c) Comprehend the complexity that a multi-agent system entails and the difference between benevolent and self-interested agents, and understand how benevolent agents work together to perform distributed problem solving.
d) Appreciate the value of game theory when applied to multi-agent systems populated by self-interested agents, and understand how these agents interact with each other and make decisions.
e) Gain awareness of several advanced applications of intelligent agents and multi-agent systems such as interface agents, e-commerce agents, workflow and business process management, distributed sensing, multi-agent based electronic marketplaces, multi-agent based vehicular ad hoc networks etc. 

Entry Requirements

Who Should Attend
Working professionals with prior knowledge of:

CZ1007 Data Structures, CZ1011 Engineering Mathematics I

Eligibility Criteria

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

Duration & Intake

Programme Duration

Programme Duration
Date(s): 12 Aug 2019 to 6 Dec 2019
Time: Refer to Class and Exam Schedules
Venue:  TR+16
Closing Date of Registration: 16 June 2019

Fees & Funding

Please enquire below for course fees and financial grants: