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Mathematics II

Module name (EN):
Name of module in study programme. It should be precise and clear.
Mathematics II
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Bachelor, ASPO 01.10.2005
Module code: E201
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V+2U (6 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
8
Semester: 2
Mandatory course: yes
Language of instruction:
German
Assessment:
Written examination

[updated 10.03.2010]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E201. Biomedical Engineering, Bachelor, ASPO 01.10.2011 , semester 2, mandatory course, course inactive since 28.11.2013
E201 Electrical Engineering, Bachelor, ASPO 01.10.2005 , semester 2, mandatory course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
90 class hours (= 67.5 clock hours) over a 15-week period.
The total student study time is 240 hours (equivalent to 8 ECTS credits).
There are therefore 172.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
E101 Mathematics I


[updated 10.03.2010]
Recommended as prerequisite for:
E301 Mathematics III
E404 Electric Power Supply Systems I
E405 Electrical Machines I
E410 Signal and Systems Theory
E412 Fundamentals of Transmission Technology
E506 Building Services Engineering I
E513 High-Voltage Engineering I
E515 Communications Engineering
E518 High-Frequency Engineering


[updated 13.03.2010]
Module coordinator:
Prof. Dr. Wolfgang Langguth
Lecturer:
Prof. Dr. Barbara Grabowski
Prof. Dr. Wolfgang Langguth
Prof. Dr. Harald Wern


[updated 10.03.2010]
Learning outcomes:
After successfully completing this course, students will have acquired a broader knowledge of differential and integral calculus and the skills necessary to handle problems in these areas. Students will learn to use Taylor series for a variety of qualitative approximations relevant to a range of problems in electrical engineering. They will also be introduced to the concept of Fourier series and will acquire the necessary techniques to use them to describe periodic processes. After learning about different types of solutions to second-order differential equations and having acquired the skills needed to solve such equations, students will be able to analyse the basic temporal behaviour of elementary and complex systems arising in different areas of electrical engineering.

[updated 10.03.2010]
Module content:
1.Differential calculus
 1.1.The concept of derivative
 1.2.Basic rules of differentiation
 1.3.Derivatives of elementary functions
 1.4.The differential of a function
 1.5.The mean value theorem of differential calculus
 1.6.Computing boundary values
 
2.Integral calculus
 2.1.Indefinite integrals
 2.2.Definite integrals
 2.3.The application of integral calculus in geometry
 2.4.Techniques of integration
 2.5.Applications of integral calculus
 2.6.Numerical integration
 2.7.Improper integrals
 
3.Infinite series
 3.1.Series with constant terms
 3.2.Sequences and series of functions
 3.3.Power series
 3.4.Taylor series
 3.5.Fourier series
 
4.Differential equations (DEs)
 4.1.Basic terminology
 4.2.First-order differential equations
  4.2.1.Geometrical interpretation
  4.2.2.First-order DEs with separable variables
  4.2.3.Integration of a differential equation by substitution
  4.2.4.Linear first-order DEs
  4.2.5.Linear first-order DEs with constant coefficients
 4.3.Second-order DEs that can be reduced to first-order DEs
  4.3.1.Linear first-order DEs with constant coefficients
  4.3.2.Definition of a linear DE with constant coefficients
  4.3.3.Properties of linear DEs
  4.3.4.Homogeneous linear second-order DEs
  4.3.5.Inhomogeneous second-order DEs


[updated 10.03.2010]
Teaching methods/Media:
Blackboard, overhead projector, video projector, lecture notes (planned)

[updated 10.03.2010]
Recommended or required reading:
PAPULA: Mathematik für Ingenieure und Naturwissenschaftler, Band 1-3, Vieweg, 2000
BURG, HAF, WILLE: Höhere Mathematik für Ingenieure, Band 1-3, Teubner, 2003
BRAUCH, DREYER, HAACKE: Mathematik für Ingenieure, Teubner, 2003
DÜRRSCHNABEL: Mathematik für Ingenieure, Teubner, 2004
DALLMANN, ELSTER: Einführung in die höhere Mathematik I-III, Gustav Fischer, 1991
PAPULA: Mathematische Formelsammlung für Ingenieure und Naturwissenschaftler, Vieweg, 2000
BRONSTEIN, SEMENDJAJEW, MUSIOL, MÜHLIG: Taschenbuch der Mathematik, Deutsch 2000
STÖCKER: Taschenbuch der Mathematik, Harri Deutsch Verlag, Frankfurt

[updated 10.03.2010]
 
[Mon Dec 23 11:59:41 CET 2024, CKEY=emia, BKEY=e, CID=E201, LANGUAGE=en, DATE=23.12.2024]