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Information Networks, 6 credits
Informationsnät, 6 hp
TSIN01
Main field of study
Information Technology Computer Science and Engineering Computer ScienceCourse level
Second cycleCourse type
Programme courseExaminer
Danyo DanevDirector of studies or equivalent
Klas NordbergEducation components
Preliminary scheduled hours: 36 hRecommended self-study hours: 124 h
Available for exchange students
YesECV = Elective / Compulsory / Voluntary
Main field of study
Information Technology, Computer Science and Engineering, Computer ScienceCourse level
Second cycleAdvancement level
A1XCourse offered for
- 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
- Computer Science, Master's programme
- 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
Basic knowledge of Probability theory.Intended learning outcomes
The course aim is to provide understanding of how a packet-oriented information network works and how the choice of technology can affect its performance. The course intends to give good knowledge of the fundamental methods for multiple-access and routing in network communications. After completing the course the student is expected to be able to:
- describe the slotted multiple-access model, as well as the Poisson model for packet arrivals in an information network.
- describe protocols for multiple-access to a shared media.
- give an account of properties of mechanisms in protocols for multiple access to a shared media
- formulate assumptions to model and analyse information networks and discuss how valid these assumptions are.
- perform typical calculations to implement the various algorithms covered in the course.
Course content
Lectures and exercise sessions treat the following topics of Information Networks:
- Layered network architecture and the OSI model.
- Slotted multiple-access models and Markov chains.
- Arrival statistics and the Poisson process.
- ALOHA system (slotted and unslotted) and stabilization.
- Splitting algorithms: tree and FCFS algorithms.
- Performance analysis of multiple-access systems.
- Carrier sensing: CSMA ALOHA, CSMA/CD, and CSMA/CA.
- Packet radio networks and IEEE 802.11 protocols.
- Routing algorithms: minimum-weight spanning trees and shortest-path algorithms.
Teaching and working methods
The course consists of lectures, problem-solving classes and a home assignment.
Examination
| LAB2 | Assignment report | 2 credits | U, G |
| TEN2 | Written examination | 4 credits | U, 3, 4, 5 |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för systemteknikDirector of Studies or equivalent
Klas NordbergExaminer
Danyo DanevCourse website and other links
http://www.commsys.isy.liu.se/en/student/kurser/TSIN01Education components
Preliminary scheduled hours: 36 hRecommended self-study hours: 124 h
Course literature
Additional literature
Books
- Dimitri Bertsekas / Robert Gallager, (1992) Data Networks second edition
ISBN: ISBN 9780132009164
| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB2 | Assignment report | 2 credits | U, G |
| TEN2 | Written examination | 4 credits | U, 3, 4, 5 |
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
Dimitri Bertsekas / Robert Gallager, (1992) Data Networks second edition
ISBN: ISBN 9780132009164
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) |
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X
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TEN2
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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TEN2
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
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X
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LAB2
TEN2
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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 |
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X
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TEN2
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| 2.2 Experimentation, investigation, and knowledge discovery |
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| 2.3 System thinking |
X
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| 2.4 Attitudes, thought, and learning |
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X
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LAB2
TEN2
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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| 3.2 Communications |
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X
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LAB2
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| 3.3 Communication in foreign languages |
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X
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LAB2
TEN2
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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 |
X
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| 4.4 Designing |
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| 4.5 Implementing |
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X
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LAB2
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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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