Go to Courses and units

Machine Learning and Applications unit (KIT315)

eStudent Enquire

Unit year 2027

View 2026 unit information

View previous years unit information

Quick Help

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
College/School Sciences and Engineering
School of Information and Communication Technology
Discipline Information & Communication Technology
Coordinator Doctor Wenli Yang
Available as an elective? Yes
Delivered By University of Tasmania and Third Party(ies): ECA
Level Advanced

Learning Outcomes

  • Explain concepts of different categories of machine learning methods
  • Apply suitable tools and techniques to develop machine learning methods to solve practical problems.
  • Evaluate machine learning solutions toward characteristics of practical problems

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
not applicable

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

KIT205 OR KIT206 OR (for P3R students only: KIT101)

Teaching

Teaching Pattern

On-Campus enrolments in Hobart and Launceston:

Self-Study (on-line): 1hr/week

Workshop (on-line): 2hr/week
Tutorials (on computer lab): 2 hr/week (From week 2). For this unit, students are expected to attend on-campus lab classes.

 

The teaching pattern for ECA Melbourne and Sydney will be advised by your teaching team.

AssessmentAssignment 2 (30%)|Lab Exercises (30%)|Assignment 1 (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.