Notes

The Courses I Have Attended

Here you can find a list of the courses I have followed during my studies. For the majority of courses I have reported here my notes and I provide free access to them in the hope of helping some fellow knowledge-seekers in gaining the expertise they fancy.

• (Human) Continual Learning

  • NYU - Deep Learning
  • MIT - Linear Algebra & Learning from Data

• Spring 2023

  • ETH - Computational Vision
  • ETH - Introduction to Data Science
  • ETH - Translational Neuromodeling

• Fall 2022

  • ETH - Deep Learning in Artificial & Biological Neuronal Networks
  • ETH - Introduction to Neuroinformatics
  • ETH - Introduction to Neuroscience
  • ETH - Systems Neuroscience
  • ETH - Readings in Neuroinformatics
  • ETH - Neurobiology of Consciousness

• Spring 2022 - UCSD

• Too busy enjoying San Diego to take proper notes :)

  • Cognitive Neuroeconomics
  • Data Mining
  • Deep Learning for NLP
  • Game Theory

• Spring 2021

  • Bocconi - Econometrics
  • Bocconi - Principles of Finance
  • Bocconi - Advanced Statistics - Antonio Lijoi
  • Bocconi - Machine Learning - Riccardo Zecchina

• Fall 2021

  • Bocconi - Big Data & Databases
  • Bocconi - Computational Microeconomics (Game Theory)
  • Bocconi - Introduction to Blockchain
  • Bocconi - Marketing Analytics

• Spring 2020

  • Bocconi - Financial Accounting
  • Bocconi - Fundamentals of Computer Science
  • Bocconi - Foundamentals of Information Technology Law
  • Bocconi - Statistics

• Fall 2020

  • Bocconi - Computer Programming
  • Bocconi - Macroeconomics
  • Bocconi - European and International Information Law & Data Economy
  • Bocconi - Advanced Mathematics & Statistics (Applied Mathematics)

• Fall 2019

  • Bocconi - Principles of Management
  • Bocconi - Mathematics
  • Bocconi - Microeconomics

Bocconi Extracurricular Courses

• Introduction to Java - Vittorio Locati
• Excel Data Analysis - Maurizio De Pra
• Big Data Analytics - Maria Chiara Debernardi
• Understanding the Brain - Leonor J Romero Lauro