Notes, projects and slides of the Master of Science in Data Science and Economics (DSE)
[Course info](https://www.unimi.it/en/education/data-science-and-economics-dse) # Contributors Andrea Ierardi ## Years 2019 - 2021 ### 1° year - 2019/2020 - __1° trimester - 18 CFU/ECTS__ - *Graph Theory, Discrete Mathematics and Optimization* (total 12 CFU/ECTS): - [Discrete Mathematics](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Discrete%20Mathematics)- Module (3 CFU/ECTS) - [Graph Theory](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Graph%20Theory)- Module (3 CFU/ECTS) - [Optimization](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Optimization) - Module (6 CFU/ECTS) - *Micro-econometrics, casual inference and Time series econometric*: - [Time series](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Time%20series) - Module (6 CFU/ECTS) - __2° trimester - 18 CFU/ECTS__ - *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS): - [Advanced microeconomics](https://github.com/Andreaierardi/Appunti-Magistrale-DataScience/tree/master/1year/2trimestre/Advanced%20Microeconomics/Notes) - Module (6 CFU/ECTS) - *Micro-econometrics, casual inference and Time series econometric*: - [Micro-econometrics, Causal Inference](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/2trimester/Micro-econometrics%2C%20Causal%20Inference) - Module (6 CFU/ECTS) - *Coding for Data Science and Data Management* (total 12 CFU/ECTS) - [Coding for Data Science - R language ](https://github.com/Andreaierardi/MilanPollution) - Module (3 CFU/ECTS) - [Coding for Data Science - Python language](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/2trimestre/Coding%20for%20DataScience/Python) - Module (3 CFU/ECTS) - __3° trimester - 24 CFU/ECTS__ - *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS): - [Advanced Macroeconomics](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) - *Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence* (total 12 CFU/ECTS): - [Machine Learning]() - Module (6 CFU/ECTS) - [Statistical Learning, Deep Learning and Artificial Intelligence](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS) - *Coding for Data Science and Data Management* - [Data Management](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS) - __Seminar/Laboratories - 3 CFU/ECTS__ - *Short Course Data Science with Prof. Kenett* (total 3 CFU/ECTS) - [Short Course](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/Seminars/Short%20Course%20Data%20Science%20Prof.%20Kenett)