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Hobart, Launceston

Note:

Introduction

The unit provides an introduction to many AI sub-fields, including: expert systems, machine learning, natural language processing, computer vision, intelligent agents. Students will be exposed to state-of-the-art examples as well as emerging technologies and get practical experience of solving interesting problems in each of these sub-fields.

The unit covers the definition of Artificial Intelligence and its subfields; introduces foundational logic and knowledge representation; and considers social, ethical, and philosophical consequences of the theory and practice of AI. Students will learn different perspectives on the approach to creating AI, its purpose, and its validity.

The unit will highlight the increasingly important social and economic roles of AI and will feature guest lectures from research and/or industry experts to highlight current research directions and deepen students' understanding of specific topics.

Summary 2021

Unit name Artificial Intelligence
Unit code KIT108
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator

Son Tran (Semester 1)
Shuxiang Xu (Semester 2)
Teaching staff

Level Introductory
Available as student elective? Yes
Breadth Unit? No

Availability

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About Census Dates

Learning Outcomes

1

explain the local and global impact of AI on individuals, organisations, and society.

2

adapt techniques for acquiring, representing, and reasoning with data, information, and knowledge.

3

identify and apply techniques to develop AI solutions to solve practical problems.

4

select and implement evaluation methods to identify suitable AI approaches for a problem.

Fees

Requisites

Prerequisites

Co-requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

Teaching

Teaching Pattern

2-hr lectures and 2-hr tutorials weekly

Assessment

AT1 - Weekly quizzes (15%)

AT2 -  Weekly exercises (15%)

AT3 -  Practical assignment (20%)

AT4 -  3-hr end of semester exam (50%)

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

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