Unit of Study PROG2008 Computational Thinking (2025)

Future students:
T: 1800 626 481
E: Email your enquiry here

Current students:
Contact: Faculty of Science and Engineering

Students studying at an education collaboration:
Please contact your relevant institution

Show me unit information for year

Unit Snapshot

Unit type

UG Coursework Unit
Credit points

12
Faculty & College

Faculty of Science and Engineering
Placement

No

Unit description

Introduces students to computational thinking for data analytics. Students will learn to assess the suitability of different data structures and algorithms for data analytics and to design and implement algorithms.

Unit content

Introduction to computational thinking
Logical and algorithmic thinking
Basic data structures and algorithms
Introduction to computational models
Introduction to data analysis and visualisation
Automation and evaluation

Availabilities

Location	Domestic	International
Gold Coast	Term4	Term4
Melbourne	N/A	Term4
Online	Term4	N/A
Perth	N/A	Term4
Sydney	N/A	Term4

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

analyse problems and related data to determine an appropriate solution

use suitable data structures and algorithms for solving a problem

design and develop algorithms and computational models to solve problems

apply evaluation techniques in order to determine appropriate solutions to a problem

Teaching and assessment

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hour (Weekly)

Assessment
Programming	50%
Case study	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hour (Weekly)

Assessment
Programming	50%
Case study	50%

Teaching method

Tutorial 2 hour (Weekly)

Workshop 1 hour (Weekly)

Assessment
Programming	50%
Case study	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hour (Weekly)

Assessment
Programming	50%
Case study	50%

Teaching method

Workshop 1 hour (Weekly)

Tutorial 2 hour (Weekly)

Assessment
Programming	50%
Case study	50%

Prescribed learning resources

Prescribed Texts

Prescribed text information is not currently available.

Prescribed Resources/Equipment

Prescribed resources/equipment information is not currently available.

Prescribed Learning Resources may change in future Teaching Periods.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full-fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees.

Find out more for domestic fees