Insegnamento a.a. 2024-2025

20972 - ADVANCED MICROECONOMICS FOR COMPUTER SCIENCE

Department of Economics

Course taught in English

Class timetable
Exam timetable
Go to class group/s: 31
CLMG (6 credits - I sem. - OP  |  SECS-P/01) - M (6 credits - I sem. - OP  |  SECS-P/01) - IM (6 credits - I sem. - OP  |  SECS-P/01) - MM (6 credits - I sem. - OP  |  SECS-P/01) - AFC (6 credits - I sem. - OP  |  SECS-P/01) - CLELI (6 credits - I sem. - OP  |  SECS-P/01) - ACME (6 credits - I sem. - OP  |  SECS-P/01) - DES-ESS (6 credits - I sem. - OP  |  SECS-P/01) - EMIT (6 credits - I sem. - OP  |  SECS-P/01) - GIO (6 credits - I sem. - OP  |  SECS-P/01) - DSBA (6 credits - I sem. - OP  |  SECS-P/01) - PPA (6 credits - I sem. - OP  |  SECS-P/01) - FIN (6 credits - I sem. - OP  |  SECS-P/01) - AI (6 credits - I sem. - OP  |  SECS-P/01)
Course Director:
MARTINO BANCHIO

Classes: 31 (I sem.)
Instructors:
Class 31: MARTINO BANCHIO


Suggested background knowledge

To provide a solid foundation in microeconomic theory and its relevance to computer science.

Mission & Content Summary

MISSION

Course Description: The course explores topics at the intersection of advanced microeconomics and computer science. The course objectives are: 1. To provide a solid foundation in microeconomic theory and its relevance to computer science. 2. To develop analytical and critical thinking skills for modeling and solving problems involving strategic agents. 3. To expose students to current research topics in microeconomic research with a focus on relevant applications in the computer sciences. The course covers topics such as preferences, utility, demand, supply, equilibrium, market design, game theory, mechanism design, social choice, and welfare. The course emphasizes the algorithmic and computational aspects of these topics, as well as their applications to, such as e-commerce, online platforms, social networks, and artificial intelligence. The course also explores some of the limitations and challenges of applying microeconomic models to real-world scenarios.

CONTENT SUMMARY

1. Introduction

2. Preferences and Utility

3. Tractable Models of Single-Agent Decisions

4. Algorithmic Game Theory

5. Algorithmic Mechanism Design

6. Network economics

Other Possible Topics

 


Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...

To provide a solid foundation in microeconomic theory and its relevance to computer science.

 

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...

To develop analytical and critical thinking skills for modeling and solving problems involving strategic agents.

To expose students to current research topics in microeconomic research with a focus on relevant applications in the computer sciences


Teaching methods

  • Lectures

DETAILS

Face to face lectures


Assessment methods

  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
  x x

ATTENDING STUDENTS

Class Participation 30%, Midterm 30%, Final Exam 40%. Class participation consists of active engagement in discussions, and demonstrated critical thinking and ability to synthesize information as it is processed. Midterm and Final exams are meant to measure the student's understanding of concepts, their ability to apply them and their problem-solving skills. 

 


NOT ATTENDING STUDENTS

Class Participation 30%, Midterm 30%, Final Exam 40%. Class participation consists of active engagement in discussions, and demonstrated critical thinking and ability to synthesize information as it is processed. Midterm and Final exams are meant to measure the student's understanding of concepts, their ability to apply them and their problem-solving skills. 

 


Teaching materials


ATTENDING AND NOT ATTENDING STUDENTS

The course will largely be based off of the book "Algorithmic Game Theory" edited by Nisan, Roughgarder, Tardos and Vazirani, which can be downloaded at the following link: https://www.cs.cmu.edu/~sandholm/cs15-892F13/algorithmic-game-theory.pdf. Other material may be provided at the instructor's discretion.

Last change 29/05/2024 09:21