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Unit Summary

Unit type

UG Coursework Unit

Credit points

12

Faculty/College

Faculty of Science and Engineering

Pre-requisites

have successfully passed ACCT3003 - Business Analytics and Big Data AND PROG2008 - Computational Thinking

Co-requisites

have successfully passed or be enrolled in INFO2001 - Storytelling and Data Visualisation

Unit aim

Introduces students to big data technologies. Students will gain the knowledge and skills to design and implement data analytics models using programming languages and contemporary data analytics tools to solve real-world problems and aid decision-making.

Unit content

1. Introduction to Big Data Analytics
2. Data Pre-processing
3. Data Wrangling
4. Introduction to Neural Networks
5. Neural Network based Data Modelling
6. Big Data Analytics Case study
 

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 use contemporary data analytics libraries and tools
2 develop and apply algorithms to prepare data for analysis
3 analyse and apply appropriate data modelling approaches
4 develop business intelligence systems using data analytics tools and programming libraries

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

  1. use contemporary data analytics libraries and tools
  2. develop and apply algorithms to prepare data for analysis
  3. analyse and apply appropriate data modelling approaches
  4. develop business intelligence systems using data analytics tools and programming libraries