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University of Gothenburg

Computer Networks

This course focuses on the algorithmic design of network protocols and covers a range of sub-specialties including: computer communication network concepts, programming using BSD socket API, and distributed fault-tolerance algorithms with a very strong emphasis on self-stabilization. The aim of this course is to lea…

  • Higher education
  • Information unavailable
  • 31 August 2026
  • Information unavailable
  • Information unavailable
  • 50 %

Overview

This course focuses on the algorithmic design of network protocols and covers a range of sub-specialties including: computer communication network concepts, programming using BSD socket API, and distributed fault-tolerance algorithms with a very strong emphasis on self-stabilization. The aim of this course is to learn to design and analyse algorithms for network protocols and to gain knowledge in existing communication networks, including supporting systems and protocols, fundamental tasks and methods in data communication networks. Mastery of computer networks involves both theory and practice in the design, implementation and use of network protocols and services. The course offers learning experiences that involve hands-on experimentation and analysis as they reinforce student understanding of concepts and their application to real-world problems. Several laboratory experiments are given and involve API programming for fault-tolerance network systems, and Internet interconnections and services from a practical perspective, and design and analysis of protocols with a strong emphasis on self-stabilizing algorithms. This course also provides the students with the analytical background needed for understanding fundamental issues in the design of distributed fault tolerance algorithms for computer network protocols. The course has a very strong emphasis on transient faults and how self-stabilizing algorithms can allow automatic recovery after their occurrence.

Admission scores

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Entry requirements

The requirement for the course is to have a Bachelor's degree within the subject Computer Science or equivalent. The student should also have successfully completed the courses listed below, either as part of the Bachelor's degree or as single subject courses. - 7\.5 hec in discrete mathematics (DIT984 or equivalent) - 7\.5 hec in finite automata theory and formal language (DIT323 or equivalent) - 7\.5 hec in imperative or object oriented programming (DIT013 or equivalent) - 7\.5 hec in data structures (DIT962 or equivalent) - 7\.5 hec in algorithms (DIT093 or equivalent) - 7\.5 hec in computer communication (DIT423 or equivalent) or operating systems (DIT401 or equivalent) Applicants must prove knowledge of English: English 6/English level 2 or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.

Source, measure and data quality
Source
Skolverket Susa-navet
Period
2026-08-31
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.gu.dit671.86027.20262
Last checked
2026-09-23T10:36:42.164498+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

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Study structure

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Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

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Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

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Completion and outcomes

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About the provider

University of Gothenburg

Provider for the published education offering.

Sources and data quality

Education facts for the selected offering come from Skolverket Susa-navet.

Retrieved . Published . Times are shown in Swedish local time.

Source identity and publication version
Publication version
8e217193-f5fa-4778-b085-a4521fd03e8d
Education identity in the source
i.uoh.gu.dit671.86027.20262
Offering identity in the source
e.uoh.gu.dit671.86027.20262
Education-form source code
HS
Education code in the source
DIT671
Change time according to the source
2026-02-17T15:13:04

The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.