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F07_HIM_en
(11 Jan 2016,
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Course Advanced Mathematics
Course
Meets requirements of following modules(MID)
Course Organization
Assessment
Course components
Lecture/Exercise
Responsible:
Prof.Dr. Schellong
Course
Meets requirements of following modules(MID)
in active programs
Ma ET2012 HIM
Ma CSN2012 HIM
Ma TIN2012 HIM
Ma ET2007 HIM
Course Organization
Version
created
2013-04-29
VID
2
valid from
WS 2012/13
valid to
Course identifiers
Long name
Advanced Mathematics
CID
F07_HIM
CEID (exam identifier)
Contact hours per week (SWS)
Lecture
2
Exercise (unsplit)
2
Exercise (split)
Lab
Project
Seminar
Tutorial(voluntary)
2
Total contact hours
Lecture
30
Exercise (unsplit)
30
Exercise (split)
Lab
Project
Seminar
Tutorial (voluntary)
30
Max. capacity
Exercise (unsplit)
Exercise (split)
40
Lab
18
Project
18
Seminar
40
Total effort (hours):
150
Instruction language
English
Study Level
Graduate
Prerequisites
Real functions of one or more variables
Differential and integral calculus
Linear algebra (linear equation systems, matrix calculus)
Basic skills in procedural programming
Textbooks, Recommended Reading
Papula: Mathematik für Ingenieure und Naturwissenschaftler, Band 3 (Vieweg)
Koop, Moock: Lineare Optimierung (Spektrumverlag)
Zimmermann: Operations Research (Vieweg)
Instructors
Prof.Dr. Schellong
Supporting Scientific Staff
Transcipt Entry
Advanced Mathematics
Assessment
Type
we
written exam
Total effort [hours]
we
written exam
Frequency:
3/year
Course components
Lecture/Exercise
Objectives
Contents
mathematical models of theoretical electrical engineering
scalar and vector fields
differential operators
line integral
surface integral
integral theorems
mathematical models for electrical dynamics
Technische Systeme optimieren
mathematical optimization models
general optimization model
classification
optimization procedures
linear optimization model
description
graphical solution
normal form
basis solution
simplex procedure
simplex tableau
basis change
primal simplex procedure
theory of duality
dual simplex tableau
dual simplex procedure
transport problems
description
optimal solution
simulation tools
Acquired Skills
mathematical models
mathematical description of applied problems
optimization
physics
application of mathematical models
electrical dynamics
optimal scheduling of power plants
optimization procedures
selection of appropriate algoritms
construction of algorithms
implementation of algorithms
numerical simulation
evaluation of the results
Additional Component Assessment
Type
fPS
exercise (on course and self study)
Contribution to course grade
fPS
unrated
Frequency:
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Topic-Revision: r3 - 11 Jan 2016,
GeneratedContent
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