Valid for: 2020/21
Decided by: PLED F/Pi
Date of Decision: 2020-04-01
Elective for: D4, E4-ra, F4, F4-fm, F4-r, I4-fir, Pi4, MMSR1
Language of instruction: The course will be given in English
Networks are ubiquitous in our modern society: infrastructure
networks, providing communication, transportation, energy services;
social networks, determining our information, influencing our
opinions, and shaping our political views; economic and financial
networks, determining the nature of economic interactions and
financial linkages; and natural networks (e.g., biological and
physical networks), governing the evolution and spread of natural
phenomena.
This course will provide an introduction to and some analysis of
the main mathematical models used to describe large networks and
dynamical processes that evolve on networks. Motivation and
applications will be drawn from social, economic, natural, and
infrastructure networks, as well as networked decision systems such
as sensor networks.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written exam (5 hours), four homework assignments. In the case of less than 5 registered students, the retake exams may be given in oral form.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Parts
Code: 0115. Name: Examination.
Credits: 7,5. Grading scale: TH.
Code: 0215. Name: Homework Assignment 1.
Credits: 0. Grading scale: UG.
Code: 0315. Name: Homework Assignment 2.
Credits: 0. Grading scale: UG.
Code: 0415. Name: Homework Assignment 3.
Credits: 0. Grading scale: UG.
Code: 0515. Name: Homework Assignment 4.
Credits: 0. Grading scale: UG.
Assumed prior knowledge: FRTF05 Automatic Control, Basic Course.
The number of participants is limited to: No
Course coordinator: Giacomo Como, giacomo.como@control.lth.se
Director of studies: Anton Cervin, anton.cervin@control.lth.se
Course homepage: http://www.control.lth.se/course/FRTN30