Course Mathematics 2 Kunz


Responsible: Prof. Dr. Dietmar Kunz

Course

Meets requirements of following modules(MID)

Course Organization

Version
created 2011-11-09
VID 1
valid from WS 2012/13
valid to
Course identifiers
Long name Mathematics 2 Kunz
CID F07_MA2_Kunz
CEID (exam identifier)

Contact hours per week (SWS)
Lecture 5
Exercise (unsplit) 2
Exercise (split)
Lab
Project
Seminar
Tutorial(voluntary) 2
Total contact hours
Lecture 75
Exercise (unsplit) 30
Exercise (split)
Lab
Project
Seminar
Tutorial (voluntary) 30
Max. capacity
Exercise (unsplit)
Exercise (split) 40
Lab
Project
Seminar

Total effort (hours): 300

Instruction language

  • German

Study Level

  • undergraduate

Prerequisites

  • tangible school knowledge
  • Mathematics 1

Textbooks, Recommended Reading

  • Fetzer/Frankel: Mathematik
  • Papula: Mathematik

Instructors

  • Prof. Dr. Dietmar Kunz
  • Prof. Dr. Stefan Grünvogel

Supporting Scientific Staff

  • tba

Transcipt Entry

Mathematics 2

Assessment

Type
sK

Total effort [hours]
wE 10

Frequency: 2/year


Course components

Lecture/Exercise

Objectives

Contents
  • geometry
    • coordinate systems
  • analysis
    • sequences and series
      • convergence, divergence
      • power series expansion
        • Taylor series
    • differental and integral calculus
      • single variable calculus
      • multivariable calculus
    • ordinary differential equations
      • linear DE
        • first order
        • second order
      • reduction of order
      • solution
  • complex numbers
  • linear algebra
  • error margins and error propagation

Aquired Skills
  • solve exercises concerning
    • geometry
      • coordinate systems
    • analysis
      • sequences and series
        • convergence, divergence
        • power series expansion
          • Taylor series
      • differental and integral calculus
        • single variable calculus
        • multivariable calculus
      • ordinary differential equations
        • linear DE
          • first order
          • second order
        • reduction of order
        • solution
    • complex numbers
    • linear algebra
    • error margins and error propagation

Operational Competences
  • solve application-related problems

Additional Component Assessment

Type
fPS excercise (on course and self study)

Contribution to course grade
fPS not rated, prerequisite to course exam

Frequency: 1/year

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