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Karlstad University

Computer systems I

Module 1 Digital Electronics (3 ECTS cr) Digital technology focuses on the analysis and design of digital circuits. This module covers fundamental topics such as number systems, Boolean algebra, logic gates, and combinational circuits (including normal forms and Karnaugh maps), as well as flip-flops and sequential c…

  • Higher education
  • Information unavailable
  • 18 January 2027
  • Karlstad
  • Information unavailable
  • 50 %

Overview

Module 1 Digital Electronics (3 ECTS cr) Digital technology focuses on the analysis and design of digital circuits. This module covers fundamental topics such as number systems, Boolean algebra, logic gates, and combinational circuits (including normal forms and Karnaugh maps), as well as flip-flops and sequential circuits. Module 2 Computer Engineering (6 ECTS cr) This module explores the structure and functionality of computer systems, as well as the interface between software and hardware. Topics include data representation and arithmetic, assembly programming, memory systems (including cache memory), the architecture and operation of modern processors, and interrupt handling. Parallel processors, such as GPUs, are also covered. Module 3 Theoretical Computer Science (6 ECTS cr) This module covers the foundations of automata theory, formal languages, computability, and complexity theory. It is essential for understanding the capabilities and limitations of computers, including why some problems are computationally unsolvable while others are easy or hard to solve. In automata theory and formal languages, the module explores regular languages (with expressions and finite automata), context-free languages (with grammars and pushdown automata), and the pumping lemma. In computability theory, topics include Turing machines, the Church-Turing thesis, and the decidability of languages (problems). The final part of the module focuses on complexity theory, addressing complexity classes and the time complexity of algorithms. The use of AI to tackle hard problems (NP problems) is also discussed.

Admission scores

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Entry requirements

Registered for Programming and Data Structures, 15 ECTS credits, and Mathematics for Artificial Intelligence I, 15 ECTS credits, or equivalent.

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
2027-01-18
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.kau.dvga28.55574.20271
Last checked
2026-09-23T10:37:50.445791+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

Karlstad University

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.kau.dvga28.55574.20271
Offering identity in the source
e.uoh.kau.dvga28.55574.20271
Education-form source code
HS
Education code in the source
DVGA28
Change time according to the source
2026-09-14T15:56:19

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.