TSIN01 · 6 credits · Advanced level (A1N) · Informationsteknologi, Datateknik, Datavetenskap
Information Networks
Active · next start HT 2026
82%
passed the latest ordinary exam
TEN2 · 31 Oct 2025 · 17 students
83%
passed the ordinary exams, all sittings over the last 5 years
TEN2 · 72 students
Part of 7 programmes
- Master of Science in Applied Physics and Electrical Engineering - International
- Master of Science in Applied Physics and Electrical Engineering
- Master of Science in Computer Science and Engineering
- Master of Science in Information Technology
- Master of Science in Computer Science and Software Engineering
- Master's Programme in Data Science and Information Engineering
- Master's Programme in Computer Science
Exam
TEN2 Written examination
- 5
- 4
- 3
- U
Ordinary exams
83% passed · 72 students
- 82%17
- 100%12
- 82%22
- 70%10
- 82%11
Re-exams
No sittings with at least 5 students.
- Get 4 or 5: 67% (72 students)
Show small sittings (5)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
- 100%2
- 50%4
- 100%1
- 33%3
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB2 Assignment report
- G
Main rounds
100% passed · 48 students
- 100%11
- 100%19
- 100%7
- 100%11
Later rounds
100% passed · 5 students
- 100%5
- Pass a later round: 100% (5 students), compared with 100% (48 students) on the ordinary exam
Show small sittings (14)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
- 100%1
- 100%1
- 100%1
- 100%1
- 100%2
- 100%1
- 100%2
- 100%2
- 100%1
- 100%1
- 100%1
- 100%1
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About the course
Aim
After completing the course, the student should be able to:
- describe the slotted multiple-access model, Poisson packet arrival model, and multiple-access protocols to a shared medium.
- give an account of the properties of mechanisms in protocols for multiple access to a shared medium.
- formulate assumptions to model and analyze information networks and discuss the validity of these assumptions.
- perform typical calculations to implement the various algorithms covered in the 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.
- Examiner
- Zheng Chen
- Scheduled hours
- 36 h
- Main field of study
- Informationsteknologi, Datateknik, Datavetenskap