Courses taught in English

Courses Taught in English

PRE-GRADE / BACHELOR

FALL SEMESTER (SEPTEMBER TO DECEMBER)

SUBJECT

 ECTS

LECTURE

 TUTORIAL

Microeconomics III: Producer Behavior and Monopoly 

 5

 18h

 18h

 Quantitative methods III: Multivariate functions

5

18h

 18h

Computer Science III: Python Programming

4

-

24h

Tutored projects: Thematic workshops

6

-

-

English for economists

3

-

18h

Microeconomics V: Imperfect Markets and Strategic Interactions

6

24h

18h

Macroeconomics V: Economics of Natural Resources

4

12h

12h

Applied Economics V : Public economics

4

24h

-

Econometrics 1

5

18h

18h

Computer science V: Web and programming

4

-

24h

SPRING SEMESTER (JANUARY TO JUNE)

 SUBJECT

 ECTS

LECTURE

 TUTORIAL

 Microeconomics  IV: Equilibrium

5

18h

18h

Macroeconomics IV : International Trade

 5

18h

18h

Urban Economy

4

18h

-

Tutored projects: Thematic workshops

6

-

-

English for economists

3

-

18h

Monte-Carlo methods and numerical simulations

4

12h

-

Markov chains: applications to economics

3

18h

-

Microeconomics VI: Applied Optimization

5

18h

18h

Macroeconomics VI: Growth Theories

5

18h

18h

Applied economics  VI: Economics and european institutions

4

12h

12h

Econometrics 2

5

18h

18h

Internship or Research report

7

-

-

POST-GRADE / MASTER

FALL SEMESTER (SEPTEMBER TO DECEMBER)

 SUBJECT

ECTS

LECTURE

TUTORIAL

Game Theory upgrading

2

12h

-

Econometrics upgrading

2

12h

-

International Economics

4

24h

-

Applied Economics Theory

2

12h

-

Economics of Innovation 1

4

12h

-

Industrial Organization & Competition Law (pre-requisite : Microeconomics V, Microeconomics VI or Game Theory)

4

24h

-

Econometrics 2

4

18h

-

Graph Theory and Applications

4

12h

12h

Optimization theory and applications

5

24h

-

Data analysis

5

18h

12h

Italian / Spannish / Deutsch

3

-

20h

Innovation policies

3

18h

-

Development economics

3

18h

-

Environmental economics (pre-requisite : Microeconomics V, Microeconomics VI or Game Theory)

3

18h

-

Social Choice and Welfare: Axiomatics and Philosophy

-

-

-

Coalitions in cooperative and non-cooperative game theory

3

18h

-

Artificial Intelligence - Machine Learning

2

18h

-

Mechanism Design for Collective Choices

-

21h

-

Econometrics 5 (Panel Data)

-

21h

-

Machine Learning I

-

-

-

Machine Learning II

-

-

-

SPRING SEMESTER (JANUARY TO JUNE)

SUBJECT

 ECTS

LECTURE

TUTORIAL

 Economics of Bargaining and Collective Choice  (pre-requisite : Microeconomics VI or Game Theory upgrading)

4

24h

 -

 Design of economic and political methods (axiomatic theory)

 3

 16h

-

Decision theory

3

18h

-

Econometrics 4 (Program Evaluation) (pre-requisite : Econometrics I or Econometrics upgrading)

4

12h

12h

Research methodology

2

9h

-

Research seminars

-

-

-

Italian / Spannish / Deutsch

3

-

20h

Economics of innovation 2  (pre-requisite : Microeconomics V, Microeconomics VI or Game Theory)

4

24h

-

Economic Geography

3

9h

6h

Academic project

6

-

-

Evaluation of public policies

3

21h

-

Data Mining

4

30h

-

Machine learning, big data and quantitative spatial analysis

3

12h

-

Artificial intelligence and computionnal social choice

3

21h

-

Master thesis or internship

10

-

-