Lecture 1 - Evolution of Materials modelling
Lecture 2 - Introduction to Machine learning
Lecture 3 - Anaconda installation and python basics
Lecture 4 - Functions and classes
Lecture 5 - Numpy basics
Lecture 6 - Pandas basics
Lecture 7 - Regression
Lecture 8 - Regression (Continued...)
Lecture 9 - Classification
Lecture 10 - Classification (Continued...)
Lecture 11 - Regression and classification example on materials data
Lecture 12 - Regression models
Lecture 13 - Regression models (Continued...)
Lecture 14 - Classification models
Lecture 15 - Support vector machines and decision trees
Lecture 16 - Ensemble models
Lecture 17 - Ensemble models (Continued...) and dimentionality reduction
Lecture 18 - Comparison of classical models on materials data
Lecture 19 - Neural networks
Lecture 20 - Neural networks with keras and tensorflow
Lecture 21 - Neural networks with pytorch
Lecture 22 - Neural networks example on materials data
Lecture 23 - Convolutions
Lecture 24 - Graph Networks
Lecture 25 - Crystal Graph Convolutional Neural Networks
Lecture 26 - First Principles methods
Lecture 27 - Density Functional Theory
Lecture 28 - Exchange Correlation Functionals
Lecture 29 - Basis sets and Pesudo potentials
Lecture 30 - DFT hands on
Lecture 31 - Introduction to Molecular Dynamics
Lecture 32 - Molecular Dynamics (Continued...)
Lecture 33 - Introduction to Statistical Mechanics
Lecture 34 - Statistical Mechanics - I
Lecture 35 - Statistical Mechanics - II
Lecture 36 - Introduction to lattice models
Lecture 37 - Lattice models and Monte Carlo simulations
Lecture 38 - Cluster expasnion hands on
Lecture 39 - Monte Carlo simulation hands on
Lecture 40 - Introduction to machine learned potentials
Lecture 41 - Machine learned interatomic potentials (Continued...)
Lecture 42 - Atomic cluster expasnion
Lecture 43 - Machine learned interatomic potentials hands on
Lecture 44 - Transfer Learning - I
Lecture 45 - Transfer Learning - II
Lecture 46 - Transfer Learning hands on
Lecture 47 - Diffusion Models
Lecture 48 - Diffusion models hands on
Lecture 49 - Large Language Models
Lecture 50 - Large Language Models hands on
