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
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Lectures, independent study, individual assignments, essay