Introduction to e-Science

NPS10001 12.5 Credit Points Hawthorn


  • 1 semester

Contact hours

  • 50 Hours





Aims and objectives

New from 2017 - This unit code was previously coded as (ICT10007)
▪ Introduce students to the fundamentals of e-Science and the key role that information technology plays in scientific discovery
▪ Prepare students for the "big data" challenges of modern science-related careers
▪ Equip students with practical strategies for computer-based data analysis
▪ Develop student capability in data modeling, analysis, and visualization
▪ Build understanding of how e-Science influences research activities at Swinburne
Unit Learning Outcomes (ULO)
At the conclusion of this unit, students should be able to:
1. Explain and apply the key elements of the scientific method
2. Explain the position of e-Science as the "fourth paradigm" of science
3. Explain the limits of computers in storing and representing scientific data
4. Select and use appropriate data analysis and visualization strategies
5. Discern the suitability of alternative knowledge discovery approaches in the context of “big data”
6. Apply e-Science strategies and approaches to science discipline-specific requirements