Numerical Simulation Methods
Численные методы моделирования
Course Overview
This course provides a fast-paced introduction to scientific computing using Python. It covers the essential tools required for modern research in thermophysics, from basic numerical analysis with NumPy and SciPy to introductory Machine Learning techniques.
The goal is to provide students with a practical toolkit for data analysis and numerical simulation, enabling them to automate calculations and uncover insights in their future research projects.
Schedule
1
Python Scientific Computing
Introduction to Python ecosystem for science (NumPy, SciPy, Matplotlib).
2
Fundamentals of Machine Learning
Introduction to basic ML concepts, algorithms, and training processes.
3
Practical Applications
Application of numerical methods and ML in thermophysics problems.