| Course Number & Title: | ASTR 501 Introduction to Computing | ASTR 513 Statistical and Computational Methods in Astrophysics |
| Course Website: | https:// | |
| Full Syllabus: | ASTR 501 Syllabus | ASTR 513 Syllabus |
| Date & Time: | Monday & Wednesday 11:00am-12:15pm | Tuesday 2:00-3:35pm |
| Location: | Steward Observatory, Room 208 | |
| Instructors: | Chi-kwan Chan and Shuo Kong; please include "ASTR 501" or "ASTR 513" in subjects of emails | |
Schedule¶
| # | Week | Monday (513) | Tuesday (501) | Wednesday (513) |
|---|---|---|---|---|
| 1 | Aug 24-Aug 30 | Overview (Proj brainstorm) | Jupyter Notebook and Python | Data Representation and Round-Off Errors (HW1 assigned) |
| 2 | Aug 31-Sep 6 | No class (Labor Day) | Unix/Linux, Shell, and Git | Numerical Linear Algebra (HW1 Q&A) |
| 3 | Sep 7-Sep 13 | Fourier Transform and Spectral Analyses (Proj selection) | Software Environment and Cloud Computing | Interpolation and Extrapolation (HW1 due, HW2 assigned) |
| 4 | Sep 14-Sep 20 | Numerical and Automatic Derivatives | Make, Workflow, and GitHub Action | Numerical Integration of Functions (HW2 Q&A) |
| 5 | Sep 21-Sep 27 | Root Finding and Optimization Methods (Proj feedback) | C/C++ | ODE Integrators I: Explicit Methods (HW2 due, HW3 assigned) |
| 6 | Sep 28-Oct 4 | ODE integrators II: implicit and symplectic methods | Code optimization | Numerical PDE I: Finite Difference (HW3 Q&A) |
| 7 | Oct 5-Oct 11 | Numerical PDE II: Spectral Methods | Parallel Computing | Numerical PDE III: Finite Volume Methods (HW3 due, HW4 assigned) |
| 8 | Oct 12-Oct 18 | Project Presentations | HPC and Slurm | Projects Presentations (HW4 Q&A) |
| 9 | Oct 19-Oct 25 | Probability | Hydrodynamic Simulation 1 | Random Variable (HW4 due) |
| 10 | Oct 26-Nov 1 | Statistics | Hydrodynamic Simulation 2 | Sampling Distribution |
| 11 | Nov 2-Nov 8 | Classical inference (point estimation) | Hydrodynamic Simulation 3 | Classical inference (interval estimation) |
| 12 | Nov 9-Nov 15 | Classical inference (hypothesis test) | No class (Veterans Day) | Structure analysis |
| 13 | Nov 16-Nov 22 | Principle components | Hydrodynamic Simulation 4 | Regression |
| 14 | Nov 23-Nov 29 | Bayesian inference | Presentation 1 | Machine-learning |
| 15 | Nov 30-Dec 6 | MCMC | Presentation 2 | Hierarchical Bayesian |
| 16 | Dec 7-Dec 13 | Review (Q&A) | Visit UA HPC | Final exams |