Master-DataScience-Notes/README.md

<h1 align="center"> Master of Science in Data Science and Economics (DSE) <br> Notes and Projects </h1>

## Università degli Studi di Milano 
<p> Notes, projects and slides of the Master of Science in Data Science and Economics (DSE) </p>

[Course page](https://www.unimi.it/en/education/data-science-and-economics-dse)
# Contributors


<h3 align="center" font-size="300px"> Andrea Ierardi <h3>
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    <img src="https://i.stack.imgur.com/tskMh.png" alt="github"> Github
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    <img src="https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/img/website.svg" width=15>
   Website
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## 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/2trimester/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/2trimester/Coding%20for%20Data%20Science%20-%20Python%20language/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) 
              <br>

### 2° Year - 2020/2021
- __1° trimester 12 CFU/ECTS__
    - *Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy* (total 12 CFU/ECTS):
       - [Cybersecurity and Privacy Preservation Techniques](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS)
       - [Digital Security and Privacy](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - 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](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS)
       - [Cloud and Distributed Computing](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS)

- __3° trimester - 0 CFU/ECTS__

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