The goal of the course is to gain experience in scientific simulation of complex physical systems. Students will not only need to study new models but also to
understand how to build up the environment for the underlying packages and run them efficiently.
Course info
| Neptun code: |
ff2n1s04 |
| Instructor: |
István Csabai |
| Semester: |
4 |
| Type: |
Computer Lab |
| Credit points: |
3 |
| Prerequisites: |
- |
Topics
Recommended readings
- Joel Grus: Data Science from Scratch (O’Reilly 2015)
- Željko Ivezić, Andrew J. Connolly, Jacob T. VanderPlas & Alexander Gray: Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Princeton University Press; 2014, ISBN: 978-0691151687)
Course material