Computer Networks

Education facts

Code: DIT671

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.

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 (DIT980 or equivalent) 7\.5 hec in finite automata theory and formal language (DIT322 or equivalent) 7\.5 hec in imperative or object oriented programming (DIT012, DIT952, or equivalent) 7\.5 hec in data structures (DIT961 or equivalent) 7\.5 hec in algorithms (DIT602 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 B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Computer Networks

  University of Gothenburg

  Start date: 1 September 2025

  End date: 2 November 2025

  Pace of study: 50 %