Valid for: 2024/25
Faculty: Faculty of Engineering LTH
Decided by: PLED F/Pi
Date of Decision: 2024-04-15
Effective: 2024-05-08
Depth of study relative to the degree requirements: Second cycle, in-depth level of the course cannot be classified
Elective for: C4-ks, D4, E4-ra, F4, F4-fm, F4-r, F4-mai, I4-fir, MMSR1, Pi4
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.
Modules
Code: 0115. Name: Examination.
Credits: 7.5. Grading scale: TH - (U, 3, 4, 5).
Assessment: Passed exam
Code: 0215. Name: Homework Assignment 1.
Credits: 0.0. Grading scale: UG - (U, G).
Assessment: Passed homework
Code: 0315. Name: Homework Assignment 2.
Credits: 0.0. Grading scale: UG - (U, G).
Assessment: Passed homework
Code: 0415. Name: Homework Assignment 3.
Credits: 0.0. Grading scale: UG - (U, G).
Assessment: Passed homework
Code: 0515. Name: Homework Assignment 4.
Credits: 0.0. Grading scale: UG - (U, G).
Assessment: Passed homework
Assumed prior knowledge:
Basic knowledge within mathematics, mathematical statistics, and linear dynamical systems, including Linear Algebra, Calculus in Several Variables, Mathematical Statistics, Basic Course, and Linear Systems or Automatic Control, Basic Course.
The number of participants is limited to: No
Course coordinator: Giacomo Como,
giacomo.como@control.lth.se
Director of studies: Björn Olofsson,
bjorn.olofsson@control.lth.se
Course homepage: http://www.control.lth.se/course/FRTN30