ASP2064 · Monash University
Computation and data analysis in astrophysics
- Credit points
- 6
- Level
- 2
- Workload
- —
- Faculty
- Science
What it covers
In this unit, you will be introduced to the computational and data analysis techniques used to turn modern astronomical observations into physical understanding. You will work with real astrophysical datasets (e.g., imaging, spectra, and time-domain data) to clean, visualise, model, and interpret measurements while quantifying uncertainty and assessing limitations. Emphasis is placed on building reproducible workflows using contemporary scientific computing practices, enabling you to develop robust and transferable skills for later astrophysics study and research. The unit culminates in an open-ended analysis task where you will communicate results in a professional scientific style.
Assessment
| Task | Type | Weight |
|---|---|---|
| Assessment 1 | Project | 60% |
| Assessment 2 | Presentation | 40% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Second semester | Clayton | On-campus |