Spring 2026 (on-going)
Key Routines
Basics Computational Physics
Iteration
Logistic Map
Broyden’s metehod
Integration
Monte Carlo Techniques
Misc
Ising Model
Numerical Solution to the Schroedinger Equation
Method of Lagrange Multiplier
Machine Learning for Babies
- notes: Markov Chain Monte Carlo
- intro. to ML
- ML, DL, NN, GPT and all that
- back-propagation and basic networks
Homeworks
(please attach the source files of programs)