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.
- 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
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:|
|1||analyse problems and related data to determine an appropriate solution|
|2||use suitable data structures and algorithms for solving a problem|
|3||design and develop algorithms and computational models to solve problems|
|4||apply evaluation techniques in order to determine appropriate solutions to a problem|
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
Prescribed Learning Resources
- No prescribed texts.
- No prescribed resources/equipment.
- Prescribed text information is not currently available.
- Prescribed resources/equipment information is not currently available.
Teaching and assessment
Commonwealth Supported courses
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Fee paying courses
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