Linear Algebra, Data Preprocessing, Gradient decent, Neural Networks (including AE, CNN, RNN), Clustering

Python Programming (Keras)

Basic Statistics, Variogram, Kriging, SGS, Multipoint Simulation

SGeMS

Rock and Fluid Properties, Petroleum System, Drilling, and Evaluation

Introduction to Seismic Exploration

Fluid PVT, Diffusivity Equation, Matrix Solvers, and IMPES

ECLIPSE and CMG

History Matching, EnKF, ES, and Advanced ensemble methods

EnKF Code (Matlab, Python) and Coupling with Simulator

Petroleum Economics with  PRMS, Material balance method, and Decline curve analysis

Machine learning applications on Petroleum E&P data

(including Multi-point geostatistics and unconventional resources)