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Networks: Models, Algorithms and Applications, 6 credits
Nätverk: modeller, algoritmer och tillämpningar, 6 hp
TSKS11
Main field of study
Computer Science and Engineering Electrical EngineeringCourse level
First cycleCourse type
Programme courseExaminer
Erik G. LarssonDirector of studies or equivalent
Klas NordbergEducation components
Preliminary scheduled hours: 56 hRecommended self-study hours: 104 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Computer Science and Engineering, Electrical EngineeringCourse level
First cycleAdvancement level
G2XCourse 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
| 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.
Grades
Four-grade scale, LiU, U, 3, 4, 5Other 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 systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Erik G. LarssonCourse website and other links
http://www.commsys.isy.liu.se/sv/student/kurser/TSKS11Education components
Preliminary scheduled hours: 56 hRecommended 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
|
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| 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) |
|
|
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
|
X
|
X
|
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| 2.2 Experimentation, investigation, and knowledge discovery |
|
X
|
X
|
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| 2.3 System thinking |
|
X
|
X
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| 2.4 Attitudes, thought, and learning |
|
X
|
X
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| 2.5 Ethics, equity, and other responsibilities |
|
X
|
X
|
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
|
X
|
X
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| 3.3 Communication in foreign languages |
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X
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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| 4.2 Enterprise and business context |
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| 4.3 Conceiving, system engineering and management |
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| 4.4 Designing |
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| 4.5 Implementing |
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| 4.6 Operating |
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| 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 |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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