Numerical analysisCovers advanced numerical analysis topics including deep neural networks and optimization methods.
Numerical Integration MethodsExplores numerical integration methods and their application in solving differential equations and simulating physical systems.
Introduction to Data ScienceIntroduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Physical Sens of PotentialsExplores the physical sense of potentials, equilibrium between subsystems, and work and free energy in systems.
Functions in PythonIntroduces functions in Python, covering predefined and user-defined functions, formal and effective parameters, and the importance of docstrings.
Turbulence: Numerical Flow SimulationExplores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
