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74 lines
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74 lines
5.2 KiB
Markdown
<h1 align="center"> Master of Science in Data Science and Economics (DSE) <br> :closed_book: Notes and Projects :computer:</h1>
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## Università degli Studi di Milano :mortar_board:
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<p> Notes, projects and slides of the Master of Science in Data Science and Economics (DSE) </p>
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[Course page](https://www.unimi.it/en/education/data-science-and-economics-dse)
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# Contributors :busts_in_silhouette:
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<h3 align="center" font-size="300px"> Andrea Ierardi <h3>
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<a href="https://www.linkedin.com/in/andreaierardi/" rel="nofollow noreferrer">
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<img src="https://i.stack.imgur.com/gVE0j.png" alt="linkedin"> LinkedIn
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</a>
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<a href="https://github.com/Andreaierardi" rel="nofollow noreferrer">
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<img src="https://i.stack.imgur.com/tskMh.png" alt="github"> Github
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</a>
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<a href="https://ierardiandrea.com/" rel="nofollow noreferrer">
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<img src="https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/img/website.svg" width=15>
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Website
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</a>
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<br>
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<br>
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## Years 2019 - 2021
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<p> NB. :no_entry: Courses have not been attended yet </p>
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### 1° year - 2019/2020
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- __1° trimester - 18 CFU/ECTS__
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- *Graph Theory, Discrete Mathematics and Optimization* (total 12 CFU/ECTS):
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- [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)
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- [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)
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- [Optimization](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Graph%20Theory%2C%20Discrete%20Mathematics%20and%20Optimization/Optimization) - Module (6 CFU/ECTS)
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- *Micro-econometrics, casual inference and Time series econometric*:
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- [Time series](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/1trimester/Time%20series) - Module (6 CFU/ECTS)
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- __2° trimester - 18 CFU/ECTS__
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- *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS):
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- [Advanced microeconomics](https://github.com/Andreaierardi/Appunti-Magistrale-DataScience/tree/master/1year/2trimester/Advanced%20Microeconomics/Notes) - Module (6 CFU/ECTS)
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- *Micro-econometrics, casual inference and Time series econometric*:
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- [Micro-econometrics, Causal Inference](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/2trimester/Micro-econometrics%2C%20Causal%20Inference) - Module (6 CFU/ECTS)
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- *Coding for Data Science and Data Management* (total 12 CFU/ECTS)
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- [Coding for Data Science - R language ](https://github.com/Andreaierardi/MilanPollution) - Module (3 CFU/ECTS)
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- [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)
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- __3° trimester - 24 CFU/ECTS__
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- *Advanced Microeconomics and Macroeconomics* (total 12 CFU/ECTS):
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- [Advanced Macroeconomics](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS)
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- *Machine Learning, Statistical Learning, Deep Learning and Artificial Intelligence* (total 12 CFU/ECTS):
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- [Machine Learning](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/1year/3trimester/Machine%20Learning%2C%20Statistical%20Learning%2C%20Deep%20Learning%20and%20Artificial%20Intelligence/Machine%20Learning) - Module (6 CFU/ECTS)
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- [Statistical Learning, Deep Learning and Artificial Intelligence](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS)
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- *Coding for Data Science and Data Management*
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- [Data Management](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ETCS)
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- __Seminar/Laboratories - 3 CFU/ECTS__
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- *Short Course Data Science with Prof. Kenett* (total 3 CFU/ECTS)
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- [Short Course](https://github.com/Andreaierardi/Master-DataScience-Notes/tree/master/Seminars/Short%20Course%20Data%20Science%20Prof.%20Kenett)
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<br>
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### 2° Year - 2020/2021 :no_entry:
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- __1° trimester 12 CFU/ECTS__
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- *Cybersecurity and Privacy Preservation Techniques and Digital Security and Privacy* (total 12 CFU/ECTS):
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- [Cybersecurity and Privacy Preservation Techniques](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) :no_entry:
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- [Digital Security and Privacy](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) :no_entry:
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- __2° trimester 12 CFU/ECTS__
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- *Algorithms for Massive Data, Cloud and Distributed Computing* (total 12 CFU/ECTS):
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- [Algorithms for Massive Data](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) :no_entry:
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- [Cloud and Distributed Computing](https://github.com/Andreaierardi/Master-DataScience-Notes/blob/master/NOTFOUND.md) - Module (6 CFU/ECTS) :no_entry:
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- __3° trimester - 0 CFU/ECTS__
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<br>
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