Engineering Data Analytics

Postgraduate

Course page banner
Mode icon
Mode
Mode
Your studies will be on-campus, and may include some online delivery
On campus
area/catalogue icon
Area/Catalogue
ENGI 5006
Course ID icon
Course ID
202125
Campus icon
Campus
Mawson Lakes, Adelaide City Campus East
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Mathematical Science
Course level icon
Course level
5
Work Integrated Learning course
Work Integrated Learning course
No
Study abroad and student exchange icon
Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

The aim of this course is to provide students with proficiency in applying advanced data analysis techniques to solve complex engineering and research problems, enabling them to make informed decisions and optimise engineering and research processes. 

  • Descriptive Statistics and Visualisation
  • Hypothesis Tests and Regression
  • Predictive Analysis

Course learning outcomes

  • Critically review data requirements, ethics implications, and data management strategies for real life engineering problems and research projects.
  • Design and interpret exploratory data models and analysis.
  • Identify and apply appropriate data processing methods and statistical analysis models for hypotheses testing on real life engineering and research datasets.
  • Critically review, present, and report on the results of data analysis.
  • Identify and interpret modern data analytics techniques for decision support in research and engineering applications.

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

  • Must not have completed STAT1000 Data Skills for Scientists OR must not have completed CIVE5015 OR must not have completed MATHS7025

Assumed knowledge

N/A

Textbook(s)

N/A

Inherent requirements

N/A

Other resources

N/A

Assessment

  • Problem Solving Task – 10%
  • Problem Solving Task, Problem Solving Task, Problem Solving Task – 50%
  • Exam – 40%
Degree list
The following degrees include this course
Master of Professional Engineering (Environmental and Water Resources Management)