Machine Learning and Applications unit (KIT220)

Introduction

In this unit, you will learn the basic knowledge and understanding of machine learning and deep learning, along with their use in areas such as computer vision, data analytics, and text mining. You will build key skills to prepare and analyse data, train and evaluate models, and apply suitable machine learning algorithms and tools to solve different problems.

Summary

Unit name	Machine Learning and Applications
Unit code	KIT220
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
Level	Intermediate

Availability

Specific information on 2027 unit availability will be available in August

Learning Outcomes

• Understand the concepts of different categories of machine learning and deep learning methods.
• Apply suitable algorithms and tools to solve different problems.
• Prepare and analyse data, build and evaluate models, and assess solutions for practical problems.

Fee Information

2027 fee information will be available in August.

Requisites

Prerequisites

KIT101 OR KIT108

Teaching

Teaching Pattern	On-Campus enrolments in Hobart and Launceston: Self-Study (online): 2hr/week Workshop (online): 2hr/week Tutorials (in the computer lab): 2 hr/week. For this unit, on-campus students are expected to attend face-to-face lab classes.
Assessment	Lab Exercises (30%)|Lab Test (30%)|Assignment 2 (40%)
Timetable	View 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.