# Applied Optimization and Machine Learning

This repo contains all the materials I used while giving the course Applied
Optimization and Machine Learning techniques during year 2021/2022.

It contains the following materials:

- Lecture notes: the different notes I used in the classes.
- Cases: the three cases that students had to do during the course. Each case
  includes a narrative description, data and some helping code. The folders
  also contain the grading details.
- Exam: the exam, along with the grading helper to calculate the final scores
  of students.
- Other: a bit of everything.
  - Random notes
  - Memories I want to keep.
  - Interesting materials that I did not directly use during the course.
  - Ideas for next year.