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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

 

Objectives

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



Contents

  1. Basic concepts in Graph Theory
  2. Networks
  3. Bipartite Graphs and Matching
  4. 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:
Allowed
Calculator:
Allowed
Evaluation:

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

Retake

Exam:
Written 2h00 hours
Documentation:
Allowed
Calculator:
Allowed
Evaluation:

Written and open-book (ONLINE).



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