for graduate students.
Time：2021 Fall, Tuesday, 3-4
Class Room：Astronomy Building 2106
Exam：grades based on homework
- Lecture 1: lecture_1_intro
date: Sep 14,
introduction of computational astrophysics, linux shell commands, basics of computation, integer, float, round off error, precision … - Lecture 2: lecture_2_calculus
date: Sep 28,
basic computational methods for dealing with numerical differentiation and integration, root finding. - Lecture 3: lecture_3_interp
date: Oct 12,
interpolation, and data fitting.
homework data: data - Lecture 4: lecture_4_fft_algebra
date: Oct 19,
fft, linear algebra. - Lecture 5: lecture_5_ode
date: Oct 26,
ode, two-body problem. - Lecture 6: lecture_6_equations
date: Nov 02,
navier-stokes equations, coordinates transform - Lecture 7: lecture_7_pde
date: Nov 09,
navier-stokes equations, shocks, Riemann problem, PDE partI. - Lecture 8: [lecture as last one]
date: Nov 16,
PDE partII, Finite differencing. - Lecture 9: lecture_9_mpi
date: Nov 23,
MPI, intro to hpc, login into cluster and install enzo. - Lecture 10: [practice]
date: Nov 30,
how to install enzo, yt … - Lecture 11: [practice]
date: Dec 07,
how to run enzo, intro of slurm, how to plot by using yt … - Lecture 12: sim_overview
date: Dec 14,
overview of astro simulation codes. - Lecture 13: n-body
date: Dec 21,
intro to n-body simulations. - Lecture 14: montecarlo
date: Dec 28,
intro to random number, monte-carlo integration, random walk. - Lecture 15: machinelearning
date: Jan 04,
intro to machine learning.