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Applied Mathematics

  • Teacher(s):   B.Dogan  
  • Course given in: English
  • ECTS Credits: 1.5 credits
  • Schedule: Autumn Semester 2020-2021, 1.0h. course (weekly average)
  •  sessions
  • site web du cours course website
  • Related programme: Master of Science (MSc) in Economics

[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :

Objectives

In this course, we will cover basic mathematical tools to understand and analyze economic and social networks. First, we will see how to represent networks (nodes, edges, paths, cycles, components of a network, degree and network density). Then, we will see how to measure networks (degree distribution, centrality, clustering). On our way, we will touch upon several economic applications.

Contents

  1. Basic concepts in Graph Theory
  2. Bipartite graphs
  3. Networks
  4. Random Graphs
  5. Economic Applications

References

Jackson, ”Social and Economic Networks”, Princeton University Press, 2008.

West, ”Introduction to Graph Theory”, Prentice Hall, 1996.

Evaluation


 

First attempt


 
Exam:
Written 2h00 hours
Documentation:
Not allowed
Calculator:
Allowed with restrictions
Evaluation:

Your final grade will be determined by a final exam, which is written and closed-book. In case of a retake exam, your final grade will be determined only based on the retake exam.


 

Retake


 
Exam:
Written 2h00 hours
Documentation:
Not allowed
Calculator:
Allowed with restrictions
Evaluation:

The retake exam is written and closed-book. The duration of the retake exam is 2 hours. If you fail the course, the retake exam determines 100% of your final grade.



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