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

CS 180 — Basic Linear Algebra
(dt. Grundlagen der linearen Algebra)

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.
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. István Heckenberger

Contents

  • Set theoretic and algebraic fundamentals
  • - Elements of Logic, Basics of Set Theory, Mappings
  • - Groups, recursions, fields
  • Vector spaces and linear mappings
  • - Basis, dimensions, quotient spaces
  • - homomorphism theorem
  • Matrices and linear systems of equations
  • - Representation of linear maps, base change
  • - Solve algorithms, determinants
  • Unitary vector spaces
  • - Scalar products, orthogonality
  • - Eigenvalues, Spectral Theory

Qualification Goals

The students shall

  • understand the basic principles of linear algebra, in particular the meaning of linear structures and algorithms,
  • be able to recognize and describe cross-connections to their own discipline,
  • acquire the basic mathematical knowledge for further studies,
  • practice mathematical working methods (developing mathematical intuition and its formal foundation, understanding the strict axiomatic structure of mathematical fields),
  • train their oral communication skills in the exercises by practicing free speech in front of an audience and in 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
  • B.Sc. Business Informatics
  • LAaG Computer Science

When studying LAaG Computer Science, this module can be attended in the study area Basic Modules.


Recommended Reading

  • Dörfler,W. ; Peschek,W. : Einführung in die Mathematik für Informatiker, Hanser; Pareigis,B. : Lineare Algebra für Informatiker, Springer;
  • Jänich, K. : Lineare Algebra, Springer



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.