Introduces students to computing for data analytics and the role it plays in problem-solving. Students will learn to break down problems into steps that can be performed by machines to solve problems and accomplish goals.
Topic 1: Introduction to data analytics
Topic 2: Problem decomposition and abstraction
Topic 3: Introduction to algorithms
Topic 4: Introduction to data structures
Topic 5: Iteration
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||explain data analytics and its role in problem-solving|
|2||apply data analytics to decompose problems into solution steps|
|3||develop small procedures that use existing algorithms to solve problems|
|4||implement and debug procedures in a suitable environment.|
On completion of this unit, students should be able to:
- explain data analytics and its role in problem-solving
- apply data analytics to decompose problems into solution steps
- develop small procedures that use existing algorithms to solve problems
- implement and debug procedures in a suitable environment.
- Prescribed text information is not currently available.
Teaching and assessment
Commonwealth Supported courses
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