This training program was developed by Astronomy Data and Computing Services (ADACS) for delivery at the 2022 Harley Wood School for Astronomy (HWSA).
Assumed Knowledge
- Python - Novice
- Bash - Novice
- Trello - None
- SQL - None
This training program was developed by Astronomy Data and Computing Services (ADACS) for delivery at the 2022 Harley Wood School for Astronomy (HWSA).
Assumed Knowledge
- Python - Novice
- Bash - Novice
- Trello - None
- SQL - None
| Setup | Download files required for the lesson | |
| 09:30 | 1. Introduction and setup |
What will we be learning?
How will we be learning? |
| 10:00 | 2. Scientific Computing |
What is scientific computing?
How can I automate common tasks? What is reproducible research? |
| 11:00 | 3. Morning Tea | Break |
| 11:30 | 4. Best Practices In Scientific Computing |
What does best practice mean?
What should I be doing? What should I try to avoid? |
| 12:30 | 5. Lunch | Break |
| 13:30 | 6. Managing Data |
Why do I need to manage data?
How do I manage different types of data? How do I store and access structured data? How do I store and access unstructured data? |
| 14:30 | 7. Afternoon Tea | Break |
| 15:00 | 8. Project Management |
What is project management?
How can I manage my PhD? What tools are available to help me with time and project management? How can I use my project management skills on my supervisor? |
| 16:00 | 9. Bonus Content | What else is there? |
| 16:00 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.