Mathematics 2 (CS)

Faculty

Faculty of Engineering and Computer Science

Version

Version 1 of 23.01.2026.

Module identifier

11B2031

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 calculus is part of the indispensable knowledge of a computer scientist. Mathematical knowledge, skills and abilities are taught. The application of these methods in computer science is demonstrated and practiced using examples.

Teaching and learning outcomes

1. functions

2. differential calculus

3. integral calculus

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 hoursType of teachingMedia implementationConcretization
60LecturePresence or online-
15PracticePresence-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
60Preparation/follow-up for course work-
15Exam preparation-
Graded examination
  • Written examination
Recommended prior knowledge

1. Basics

2. Discrete Mathematics

3. Vector calculus / linear algebra

Knowledge Broadening

Students have a broad knowledge of mathematical functions and analysis.

Knowledge Understanding

Students can apply standard mathematical methods of analysis. They can describe and solve subject-specific problems with mathematical functions (modeling and solution skills).

Application and Transfer

Students will be able to use mathematical functions and assess the analysis taking into account the specific subject matter in computer science.

Communication and Cooperation

Students can analyze technical problems and transfer them into models with the help of mathematical functions. They can explain these models and discuss them with colleagues.

Literature

G.Teschl/S.Teschl: "Mathematik für Informatiker", Band 2 Analysis und Statistik, Springer, eXamen press, 3. Auflage 2014

Bornemann: "Konkrete Analysis (für Studierende der Informatik)", Springer, eXamen press 2008

Goebbels/Ritter: "Mathematik verstehen und anwenden - Differenzial- und Integralrechnung, Lineare Algebra“, Springer Spektrum 4. Auflage 2023

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
    • Gervens, Theodor
    • Henkel, Oliver
    • Thiesing, Frank
    • Meyer, Jana
    • Ambrozkiewicz, Mikolaj
    • Lenz, Sandra