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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Pre-requisites

have completed PROG2007 - Programming II

Unit aim

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
  2. Logical and algorithmic thinking
  3. Basic data structures and algorithms
  4. Introduction to computational models
  5. Introduction to data analysis and 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:
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:

  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

  • No prescribed texts.
Prescribed texts may change in future teaching periods.