Courses & Units

Machine Learning and Applications KIT315

Hobart, Launceston

Introduction

The aim of this unit is to provide students with the foundation knowledge and understanding of Machine Learning and its applications in various domains including computer vision, data analytics and text mining. This unit will equip students with essential knowledge that is needed for developing smart software applications by using machine learning algorithms and tools.

Summary

Unit name Machine Learning and Applications
Unit code KIT315
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator

Son Tran

Teaching staff

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

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus International Domestic
Launceston Semester 2 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Key Dates

Study Period Start date Census date WW date End date
Semester 2 12/7/2021 10/8/2021 30/8/2021 17/10/2021

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates

Learning Outcomes

1

Explain concepts of different categories of machine learning methods

2

Apply suitable tools and techniques to develop machine learning methods to solve practical problems.

3

Evaluate machine learning solutions toward characteristics of practical problems

Fees

Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
029999 $993.00 $993.00 not applicable $2,402.00

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to this page to get an indicative course cost.

Requisites

Prerequisites

KIT205 or KIT206

Teaching

Teaching Pattern

2-hour lecture weekly, 2-hour tutorial weekly

Assessment

AT1 - Assignment 40%

AT2 - Report 30%

AT3 - Workshop (regular lab exercises) 30%

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Recommended

LinksBooktopia textbook finder

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