Course syllabus

Nätverksdynamik
Network Dynamics

FRTN30, 7,5 credits, A (Second Cycle)

Valid for: 2021/22
Faculty: Faculty of Engineering, LTH
Decided by: PLED F/Pi
Date of Decision: 2021-04-23

General Information

Elective for: C4, D4, E4-ra, F4, F4-fm, F4-r, I4-fir, Pi4, MMSR1
Language of instruction: The course will be given in English

Aim

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.

Learning outcomes

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

Contents

Examination details

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.

Admission

Assumed prior knowledge: Basic knowledge within mathematics, mathematical statistics, and linear dynamical systems, including Linear Algebra, Multidimensional Analysis, Mathematical Statistics, Basic Course, and Linear Analysis or Automatic Control, Basic Course.
The number of participants is limited to: No

Reading list

Contact and other information

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