Mathematics 1 (CS)
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 20.10.2025.
- Module identifier
11B2016
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
winter and summer term
- Duration
1 semester
- Brief description
Mastering the basics of mathematics is part of the indispensable knowledge of a computer scientist. Basic mathematical knowledge, skills and abilities are taught. The application of these methods is demonstrated and practiced by way of example.
- Teaching and learning outcomes
1. basics
2. discrete mathematics
3. vector calculus / linear algebra
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 60 Lecture - 15 Practice - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 60 Preparation/follow-up for course work - 15 Exam preparation -
- Further explanations
Modern teaching and learning concepts such as the inverted classroom method or agile learning scenarios can be used as didactic methods.
- Graded examination
- Written examination or
- Portfolio exam
- Remark on the assessment methods
The choice of examination form from the options provided is the responsibility of the respective teacher. They must adhere to the applicable study regulations.
The composition of the portfolio examination can be found in the respective valid study regulations.
- Exam duration and scope
Work sample, written as part of the portfolio examination: approx. 10 tasks
Exam: see the current study regulations.
Exam as a part of the portfolio: see the current study regulations.
- Recommended prior knowledge
School mathematics at secondary level 1
- Knowledge Broadening
Students have a broad-based basic knowledge of computing techniques as well as mathematical procedures and methods related to computer science.
- Application and Transfer
Students can apply standard mathematical methods related to computer science. They can describe and solve simple subject-specific problems using mathematical methods (modeling and solution skills).
- Literature
Iwanowski/Lang: "Diskrete Mathematik mit Grundlagen", Springer Vieweg 2014
Beutelspacher/Zschiegner: "Diskrete Mathematik für Einsteiger", Springer, 5. Auflage 2014
G.Teschl/S.Teschl: "Mathematik für Informatiker", Band 1 Diskrete Mathematik und lineare Algebra; Springer, eXamen press, 4. Auflage 2013
Witt: "Algebraische und zahlentheoretische Grundlagen der Informatik", Springer Vieweg 2014
Witt: "Lineare Algebra für die Informatik", Springer Vieweg 2013
Huppert/Willems: "Lineare Algebr, Springer Vieweg, 2. Auflage 2010
Goebbels/Ritter: "Mathematik verstehen und anwenden", Springer Spektrum 2. Auflage 2013
Arens/Hettlich e.a.: "Mathematik", Springer Spektrum 3. Auflage 2015
Fetzer/Fränkel: Mathematik 1&2, Springer, 2012/1999
Manfred Brill: Mathematik für Informatiker, Hanser, 2004
Dirk Hachenberger: Mathematik für Informatiker, Springer, 2015
Papula: Mathematik für Ingenieure und Naturwissenschaftler Band 1/2, Springer, 2018/2015
- Applicability in study programs
- Computer Science and Media Applications
- Computer Science and Media Applications B.Sc. (01.09.2025)
- Bachelor of Vocational Education - Information Technology
- Bachelor of Vocational Education - Information Technology B.Sc. (01.09.2025)
- Computer Science and Computer Engineering
- Computer Science and Computer Engineering B.Sc. (01.09.2025)
- Person responsible for the module
- Thiesing, Frank
- Teachers
- Henkel, Oliver
- Gervens, Theodor
- Thiesing, Frank
- Meyer, Jana
- Ambrozkiewicz, Mikolaj