Master of Science in Data Science and Economics (DSE) - Notes

## Università degli Studi di Milano

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/Appunti-Magistrale-DataScience/tree/master/1anno/1trimestre/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Discrete%20Mathematics)- Module (3 CFU/ECTS) - [Graph Theory](https://github.com/Andreaierardi/Appunti-Magistrale-DataScience/tree/master/1anno/1trimestre/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Graph%20Theory)- Module (3 CFU/ECTS) - [Optimization](https://github.com/Andreaierardi/Appunti-Magistrale-DataScience/tree/master/1anno/1trimestre/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/Appunti-Magistrale-DataScience/tree/master/1anno/1trimestre/Micro-econometrics%2C%20casual%20inference%20and%20time%20series%20econometrics/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/1anno/2trimestre/Advanced%20Microeconomics/Notes) - Module (6 CFU/ECTS) - Micro-econometrics, casual inference and time series econometric: - [Micro-econometrics, Causal Inference](https://github.com/Andreaierardi/Appunti-Triennale-Informatica/tree/master/1%C2%B0Anno/2%C2%B0semestre/Fisica) - 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/1anno/2trimestre/Coding%20for%20DataScience/Python) - Module (3 CFU/ECTS)
- 3° trimester - 24 CFU/ECTS - Advanced Microeconomics and Macroeconomics (total 12 CFU/ECTS): - [Advanced Macroeconomics]() - 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]() - Module (6 CFU/ETCS) - Coding for Data Science and Data Management - [Data Management]() - 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) ### 2° Year - 2020/2021 - 1° trimester 12 CFU/ECTS - Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy (total 12 CFU/ECTS): - [Unit Cybersecurity and Privacy Preservation Techniques]() - Module (6 CFU/ECTS) - [Digital Security and Privacy]() - Module (6 CFU/ECTS)
- 2° trimester 12 CFU/ECTS - Algorithms for Massive Data, Cloud and Distributed Computing (total 12 CFU/ECTS): - [Algorithms for Massive Data]() - Module (6 CFU/ECTS) - [Cloud and Distributed Computing]() - Module (6 CFU/ECTS)
- 3° trimester - 24 CFU/ECTS