Hydrogen wavefunction modeling and electron probability density plots

This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju

A repository for TA sessions of a Quantitative Macroeconomics PhD course at Bocconi University. Some non-related but neighboring material is included.

Scientific Computing with Python - PhD class at the University of Milan-Bicocca (Italy)

Contenido de la asignatura optativa "Robótica Móvil" de grado y doctorado del Departamento de Ciencias de la Computación de la Facultad de Ciencias Exactas, Ingeniería y Agrimensura de la Universidad Nacional de Rosario, Argentina.

This is the repository for the "Software development for researchers" PhD level course

Containerisation and Orchestration for Research Reproducibility course @ UniBo

Website for the 2025 Summer Course on "Introduction to Power System Dynamics, Stability and Control"

Course materials for Causal Intelligence: causal inference, causal discovery, causal machine learning, counterfactual reasoning, robust AI, explainable AI, and decision intelligence.

PSCI8357 STAT II (Spring 2026)

This repository contains the python code and the writing sample using a preprocessed data analysis the impact of Family and Medical Leave Act in 1993. It is part of the course for the Ph.D. level course ECON262P: Topics in Labor Economics, instructed by Professor Lleras-Muney at UCLA.

Homework and codes from the Computational Statistics course of the PhD's at FGV EMAP.

second part of the training session for PhD students on Zotero, the free reference manager

PhD labs on multilevel modeling: random effects, cross-level interactions, marginal effects via MC simulation, hierarchical logit, and MrP.

PhD-level labs on GLMs: binomial, multinomial, ordered, and count models, Monte Carlo simulation for predictions, and first differences, implemented in R.

📝 Final project on OpenMP for the "Parallel Programming Fundamentals" course

Mathematical foundations for statistical computing: linear algebra, calculus, optimization, and probability, with R applications. PhD-level course material.