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CS 140 — Technical Computer Science
(dt. Technische Informatik)

Level, degree of commitment Basic module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Written examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Computer Science.
Duration,
frequency		 One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Thorsten Thormählen

Contents

  • Representation of numbers and characters
  • Boolean algebra
  • Normal forms
  • Conversion and minimization
  • Time behavior and hazards
  • Logic circuits
  • Memory
  • CPU
  • Machine language and assembler
  • Processor architectures

Qualification Goals

Students will

  • Know basic knowledge of computer structures and the operation of microelectronic circuits,
  • can handle the laws of Boolean algebra,
  • have mastered the design and simplification of Boolean circuits,
  • have knowledge of sequential circuit design, arithmetic circuits and CMOS transistors,
  • understand the structure and function of a central processing unit (CPU),
  • have basic knowledge of machine language programming,
  • understand basic concepts of computer architecture,
  • are able to follow scientific working methods (recognizing, formulating, solving problems, training the ability to abstract),
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.

Prerequisites

None.


Applicability

Module imported from B.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • M.Sc. Mathematics
  • LAaG Computer Science
  • BA Minor Computer Science

When studying B.Sc. Data Science, this module can be attended in the study area Free Compulsory Elective Modules.

The module is assigned to Computer Science. Further information on eligibility can be found in the description of the study area.


Recommended Reading

  • D. W. Hoffmann: Grundlagen der Technischen Informatik, Hanser 2007;
  • H. Bähring: Mikrorechner-Systeme. Mikroprozessoren, Speicher, Peripherie; Springer 2005; P. Herrmann: Rechnerarchitektur. Aufbau, Organisation und Implementierung; Vieweg 2000;
  • D. A. Patterson, J.L. Hennessy: Rechnerorganisation und Entwurf, Spektrum 2005;
  • H. P. Gumm, M. Sommer: Einführung in die Informatik, Oldenbourg 2009;



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.