Mathematics 1 for E/Me

Faculty

Faculty of Engineering and Computer Science

Version

Version 1 of 21.10.2025.

Module identifier

11B2015

Module level

Bachelor

Language of instruction

German

ECTS credit points and grading

10.0

Module frequency

winter and summer term

Duration

1 semester

 

 

Teaching and learning outcomes

  • Basis concepts
  • Introduction to complex numbers
  • Vector calculus/linear algebra
  • Functions
  • Differential- and integral calculus

Overall workload

The total workload for the module is 300 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
120LecturePresence or online-
30PracticePresence or online-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
120Preparation/follow-up for course work-
30Exam preparation-
Further explanations

Modern teaching and learning concepts, such as the inverted classroom method or agile learning scenarios, can be employed as didactic methods.

Graded examination
  • Written examination or
  • Portfolio exam or
  • Portfolio exam or
  • Portfolio exam
Remark on the assessment methods

The selection of the examination type from the given options is at the discretion of the respective instructor. This is done in accordance with the study regulations that are valid at the time.

The composition of the portfolio examination can be found in the study regulations that are currently valid.

Exam duration and scope

Work sample, written as part of the portfolio examination PFP-1 (first PFP mentioned in the study regulations): approx. 1-4 tasks or 1-8 tasks

Work samples, written as part of the portfolio examination PFP-2 (second PFP mentioned in the study regulations): approx. 1-6 tasks each

Work sample, written as part of the portfolio examination PFP-3 (third PFP mentioned in the study regulations): approx. 1-12 tasks

Examination as part of the portfolio examinations: see the currently valid study regulations

Examination: see the currently valid study regulations

Recommended prior knowledge

Solid knowledge of school mathematics

Knowledge Broadening

The students have a broad basic knowledge about computational techniques and procedures regarding elementary mathematical functions and vector calculus.

Application and Transfer

The students can apply standard mathematical procedures of engineering. They can describe and solve simple domain-specific problems using mathematical methods.

Literature

Die Literaturangaben beziehen sich auf die neueste Auflage, sofern nicht explizit ein Erscheinungsjahr angegeben ist.

  • T. Arens, F. Hettlich, Ch. Karpfinger et al. Mathematik, Spektrum Akademischer Verlag
  • A.Fetzer/H. Fr?nkel Mathematik Lehrbuch für Fachhochschulen Band 1 und 2 Springer Vieweg
  • L. Papula Mathematik für Ingenieure und Naturwissenschaftler Band 1-3 Springer Vieweg
  • T. Westermann Mathematik für Ingenieure, Springer Vieweg
  • D. Schott Ingenieurmathematik mit MATLAB Algebra und Analysis für Ingenieure Fachbuchverlag Leipzig im Carl Hanser Verlag 2004
  • P. Wolf, S. Kersting, S. Friedenberg, Ingenieurmathematik, Band 1 und 2, Hanser
  • D. Jordan/P. Smith Mathematical Techniques An introduction for the engineering, physical, and mathematical sciences Oxford University Press 2008

Applicability in study programs

  • Electrical Engineering in Practical Networks (dual)
    • Electrical Engineering in Practical Networks (dual) B.Sc. (01.03.2026)

  • Mechatronics
    • Mechatronics B.Sc. (01.09.2025)

  • Bachelor of Vocational Education - Electrical Engineering
    • Bachelor of Vocational Education - Electrical Engineering B.Sc. (01.09.2025)

  • Electrical Engineering
    • Electrical Engineering B.Sc. (01.09.2025)

    Person responsible for the module
    • Henkel, Oliver
    Teachers
    • Henkel, Oliver
    • Gervens, Theodor
    • Ambrozkiewicz, Mikolaj
    • Thiesing, Frank
    • Meyer, Jana