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2017/2018 Technology, Policy and Management Master Complex Systems Engineering and Management
Design in Networked Systems
Module Manager
Name E-mail
Dr. M.E. Warnier    M.E.Warnier@tudelft.nl
Name E-mail
S. Cunningham    S.Cunningham@tudelft.nl
Dr. H.H. Hansen    H.H.Hansen@tudelft.nl
Dr.ir. P.W. Heijnen    P.W.Heijnen@tudelft.nl
Dr. M.E. Warnier    M.E.Warnier@tudelft.nl
Responsible for assignments
Name E-mail
Dr. M.E. Warnier    M.E.Warnier@tudelft.nl
Co-responsible for assignments
Name E-mail
S. Cunningham    S.Cunningham@tudelft.nl
Contact Hours / Week x/x/x/x
Education Period
Start Education
Exam Period
Course Language
Expected prior knowledge
Non-SEPAM students who wish to follow the course as an elective are expected to have basic knowledge of mathematical subjects such as calculus, linear algebra, probability theory, and discrete maths, corresponding roughly to the level of a Bachelor engineering degree. In addition, some prior experience with programming, e.g. in Python or MatLab will be useful.
Course Contents
In our highly connected world, networks exist in a multitude of contexts and domains, for example, in infrastructure, supply chains, transport, information, and social networks. These are socio-technical systems that consist of a large number of components and actors organized into a network. Analysing and managing such systems is a complex endeavour.

This course provides an introduction to the analysis of networked systems and the design of interventions that aim to improve their efficiency. The analysis is based on graph theory, which studies structural network properties, and game theory, which studies strategic decision making of actors.
Study Goals
Networked systems often have a high degree of complexity, both in terms of structure and in terms of their social and institutional environment. In this course, we aim to provide you with theoretical knowledge and practical skills that enable you to reason about networked systems and design mechanisms for improving their efficiency.
After taking the module the student will be able to:

• Analyze structural properties of networked systems using graph theory.
• Reason about the strategic interaction of actors in networked systems using game theory.
• Apply a range of tools for automated analysis of networked systems.
• Design a new mechanism that can be used as a basis for interventions in networked systems.
Education Method
Mix of lectures, which discuss relevant examples within a SEPAM context, and labs, which provide the opportunity to apply theory discussed in lectures and the book. 4 contact hours per week.
Literature and Study Materials
Book: Easley and Kleinberg (2010) “Networks, Crowds and Markets – Reasoning about a Highly connected World”
see: https://www.cs.cornell.edu/home/kleinber/networks-book/ for a (free) pdf of the book.
The course also provides various research papers that are used to illustrate interventions.
Open book exam (50% of grade) + project assignment and report (50% of grade). A passing grade (>= 5,75) must be obtained in both components. Partial grades for either exam or project may not be transferred to the next academic year.