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Computer Networks

Course
DIT671
Master’s level
7.5 credits (ECTS)
Study pace
50%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application period
-
Application code
GU-18672
Tuition
Full education cost: 19 250 SEK
First payment: 19 250 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed, late application opens 15 July 2024.

About

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 analyze 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.

This 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 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.

Prerequisites and selection

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.

Selection

Selection is based upon the number of credits from previous university studies, maximum 165 credits.