Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Upon the completion of the course, the student understands the behavior and performance of three interdependent cyber-physical-social networks: infrastructure (physical “lifeline” networks), service (networks engaged to maintain the function of other networks), and community (the interconnected society that the other networks support). The student is able to:
• characterize these three networks
• model the interdependent nature of these network
• measure the impacts to these networks after a disruption
• guide risk-based decision making for their resilience
• harness descriptive, predictive, and prescriptive analytics to enable all of the above.

Credits: 5

Schedule: 01.03.2023 - 26.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Ahti Salo

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Barabási, A.-L. 2016. Network Science. Cambridge University Press; research articles; lectures.

DETAILS

Study Material
  • valid for whole curriculum period:

    Barabási, A.-L. 2016. Network Science. Cambridge University Press. (available at http://barabasi.com/networksciencebook/).

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Lectures, independent study, individual assignments, essay