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This entry is from Summer semester 2018 and might be obsolete. You can find a current equivalent here.

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): Written examination
Examination type: Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
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

The module Technical Computer Science teaches basic knowledge about computer structures and microelectronic circuits. This includes the laws of Boolean algebra, the design and simplification of Boolean circuits, knowledge in the design of sequential circuits as well as knowledge of arithmetic circuits and CMOS transistors. Furthermore, the lecture provides an understanding of the structure and functionality of a central processing unit (CPU), basic skills in machine language programming, and an understanding of different computer architecture concepts. In addition, the course aims at improving the overall ability of the participants to perform scientific work, to solve problems, and to communicate.


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
  • B.Sc. Mathematics
  • M.Sc. Mathematics
  • LAaG Computer Science

When studying M.Sc. Mathematics, this module can be attended in the study area Minor subject Computer Science.


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 Summer semester 2018. 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.