Networks: Models, Algorithms and Applications, 6 credits

Nätverk: modeller, algoritmer och tillämpningar, 6 hp

TSKS11

The course is disused. Replaced by TSKS22.

Main field of study

Computer Science and Engineering Electrical Engineering

Course level

First cycle

Course type

Programme course

Examiner

Erik G. Larsson

Director of studies or equivalent

Klas Nordberg

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h

Available for exchange students

Yes
ECV = Elective / Compulsory / Voluntary
Course offered for Semester Period Timetable module Language Campus ECV
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYI Applied Physics and Electrical Engineering - International, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CYYY Applied Physics and Electrical Engineering, M Sc in Engineering (Control and Information Systems) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6MCSY Communication Systems, Master's programme 3 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (AI and Machine Learning) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CDDD Computer Science and Engineering, M Sc in Engineering (Systems Technology) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CMJU Computer Science and Software Engineering, M Sc in Engineering (Programming and Algorithms Specialization) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Chinese (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - French (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - German (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Japanese (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIEI Industrial Engineering and Management - International, M Sc in Engineering - Spanish (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Master Profile Telecommunication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Specialization Computer Science and Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CIII Industrial Engineering and Management, M Sc in Engineering (Specialization Electrical Engineering) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Communication) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Computer Systems Architecture) 9 (Autumn 2017) 2 3 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Programming and Algorithms) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6CITE Information Technology, M Sc in Engineering (Systems Technology) 7 (Autumn 2017) 2 3 Swedish/English Linköping E
6KMAT Mathematics 5 (Autumn 2017) 2 3 Swedish/English Linköping E
6KMAT Mathematics (Applied Mathematics) 5 (Autumn 2017) 2 3 Swedish/English Linköping E
6KMAT Mathematics (Computer Science) 5 (Autumn 2017) 2 3 Swedish/English Linköping E
6MMAT Mathematics, Master's Programme 1 (Autumn 2017) 2 3 Swedish/English Linköping E
6MMAT Mathematics, Master's Programme (Computer Science) 1 (Autumn 2017) 2 3 Swedish/English Linköping E

Main field of study

Computer Science and Engineering, Electrical Engineering

Course level

First cycle

Advancement level

G2X

Course offered for

  • Mathematics, Master's Programme
  • Mathematics
  • Computer Science and Engineering, M Sc in Engineering
  • Industrial Engineering and Management - International, M Sc in Engineering
  • Industrial Engineering and Management, M Sc in Engineering
  • Information Technology, M Sc in Engineering
  • Computer Science and Software Engineering, M Sc in Engineering
  • Applied Physics and Electrical Engineering - International, M Sc in Engineering
  • Applied Physics and Electrical Engineering, M Sc in Engineering
  • Communication Systems, Master's programme

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Linear algebra. Basic knowledge and understanding of probability theory/statistics. Programming skills.

Intended learning outcomes

After the course the students should

  • with adequate terminology, in a well-structured manner and logically coherent, be able to describe and conduct simpler calculations that relate to graph representations of networks, metrics, centrality (Google PageRank, Katz, hub/authority, betweenness), structural balance, Laplace operator, random walks, spreading of information over networks, diffusion, cascades, models for and properties of random graphs, community detection, small-world phenomena, searchability and reachability, collaborative filtering on bipartite graphs (recommendation systems), power laws and information cascades
  • be able to describe, apply, and implement in a conventional programming language, and show engineering understanding of the theory and models used in the course
  • be able to report work in written form, using adequate language, terminology, structure and typography

 

Course content

Graph representations of networks. Metrics and characteristics. Basic algorithms. Strong and weak ties. Positive and negative relations, structural balance. Web-networks. Link analysis and "page rank". Basic game theory. Information cascades. Information diffusion over networks. World-is-small phenomena. Recommendation systems. Preference aggregation and voting schemes.

Teaching and working methods

12 lectures, 8 tutorials and a series of computer laborations. Inclass examination of some computer laboratory work, and individual written reporting of some tasks.

Examination

LAB4Laboratory work2 creditsU, G
TEN2Written examination4 creditsU, 3, 4, 5

The exam (TEN2) is normally written, but the course director can decide to use oral examination, as complement to or as replacement for a written exam, in case there are few students taking the exam, or in other special cases.

Grades

Four-grade scale, LiU, U, 3, 4, 5

Other information

Supplementary courses: Courses in computer, information and communication networks, Internet and web technology, social networks, graph theory, machine learning and network analysis.

Department

Institutionen för systemteknik

Director of Studies or equivalent

Klas Nordberg

Examiner

Erik G. Larsson

Course website and other links

http://www.commsys.isy.liu.se/sv/student/kurser/TSKS11

Education components

Preliminary scheduled hours: 56 h
Recommended self-study hours: 104 h

Course literature

Additional literature

Books

  • A. Barabasi, Network Science
  • D. Easley, J. Kleinberg, Networks, Crowds and Markets
  • M. Chiang, Networked Life
Code Name Scope Grading scale
LAB4 Laboratory work 2 credits U, G
TEN2 Written examination 4 credits U, 3, 4, 5

The exam (TEN2) is normally written, but the course director can decide to use oral examination, as complement to or as replacement for a written exam, in case there are few students taking the exam, or in other special cases.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

Additional literature

Books

A. Barabasi, Network Science
D. Easley, J. Kleinberg, Networks, Crowds and Markets
M. Chiang, Networked Life

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize
I U A Modules Comment
1. DISCIPLINARY KNOWLEDGE AND REASONING
1.1 Knowledge of underlying mathematics and science (G1X level)
X
X
LAB4
TEN2

                            
1.2 Fundamental engineering knowledge (G1X level)
X
X
X
LAB4
TEN2

                            
1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)

                            
1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)

                            
1.5 Insight into current research and development work

                            
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
2.1 Analytical reasoning and problem solving
X
X

                            
2.2 Experimentation, investigation, and knowledge discovery
X
X

                            
2.3 System thinking
X
X

                            
2.4 Attitudes, thought, and learning
X
X

                            
2.5 Ethics, equity, and other responsibilities
X
X

                            
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
3.1 Teamwork

                            
3.2 Communications
X
X

                            
3.3 Communication in foreign languages
X

                            
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
4.1 External, societal, and environmental context

                            
4.2 Enterprise and business context

                            
4.3 Conceiving, system engineering and management

                            
4.4 Designing

                            
4.5 Implementing

                            
4.6 Operating

                            
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development

                            
5.2 Economic conditions for knowledge development

                            
5.3 Identification of needs, structuring and planning of research or development projects

                            
5.4 Execution of research or development projects

                            
5.5 Presentation and evaluation of research or development projects

                            

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page.

There are no files available for this course.