Update README.md

This commit is contained in:
Andrea Ierardi 2020-02-24 19:57:13 +01:00 committed by GitHub
parent a66de67367
commit a04367f523
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

View File

@ -11,7 +11,7 @@ Andrea Ierardi
## Years 2019 - 2021
### 1° year - 2019/2020
- 1° semester
- 1° semester - 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)
@ -19,16 +19,23 @@ Andrea Ierardi
- 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° semester
- 2° semester - 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
- 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)
<br>
- 3° semester
- 3° semester - 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)
### 2° Year - 2020/2021
- 1° semester