Introduction to e-Science

NPS10001 12.5 Credit Points Hawthorn


  • One semester or equivalent

Contact hours

  • 34 Hours

2019 teaching periods


Higher Ed. Semester 2

5 Aug 19 - 3 Nov 19

10 Dec 19

Last self enrolment:
18 Aug 19

31 Aug 19

Last withdraw without fail:
20 Sep 19


Assumed Knowledge 
VCE Mathematics (any) or Year 12 Mathematics 

Aims and objectives

To develop a familiarity with a broad range of skills that are required to tackle the “big data” challenges of modern science-related careers. The subject introduces the fundamentals of e-Science and the key role that information technology plays in scientific discovery. This subject has a practical component, where students will build their skills in data analysis, visualization and programming.

Unit Learning Outcomes (ULO)

Students who successfully complete this unit will be able to:
1. Select and use appropriate data analysis and visualization strategies
2. Explain and apply the fundamentals of computer programming
3. Explain the opportunities for, and challenges facing, scientific progress in the era of Data-Driven Science
4. Apply e-Science strategies and approaches to science discipline-specific requirements