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Gold Coast
Melbourne
OnlineN/A
Perth
Sydney

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

1. Introduction to  computational thinking and problem formulation

2. Big Data Types and Data Structures

3. Algorithms for Big Data 

4. Introducing Computational Models

5. Computational Models and Simple Visualisation

6. Automation and Evaluation

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:
1analyse problems and related data to determine an appropriate solution
2use suitable data structures and algorithms for solving a problem
3design and develop algorithms and computational models to solve problems
4apply evaluation techniques in order to determine appropriate solutions to a problem

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

Prescribed texts

  • Prescribed text information is not currently available.
Prescribed texts may change in future teaching periods.

Teaching and assessment

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hour (Weekly)
Assessment
Report40%
Practical skills50%
Practical skills10%

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hour (Weekly)
Assessment
Report40%
Practical skills50%
Practical skills10%

Teaching method
Tutorial 2 hour (Weekly)
Workshop 1 hour (Weekly)
Assessment
Report40%
Practical skills50%
Practical skills10%

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hour (Weekly)
Assessment
Report40%
Practical skills50%
Practical skills10%

Teaching method
Workshop 1 hour (Weekly)
Tutorial 2 hour (Weekly)
Assessment
Report40%
Practical skills50%
Practical skills10%
Notice

Intensive offerings may or may not be scheduled in every teaching period. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the teaching period.

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

International

Please check the international course and fee list to determine the relevant fees.

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