Faculty of Electrical Engineering
and Information Technology
Module Handbook
Bachelor's Degree Program
Electrical Engineering – Industrial Automation
Last amended: 13 January 2012
Table of contents
1 Introduction ............................................................................................................................................... 3 1.1 Modules ............................................................................................................................................. 4 1.2 Credit points ....................................................................................................................................... 5 1.3 Examinations ..................................................................................................................................... 5 2 Overview of the degree program .............................................................................................................. 6 2.1 Foundation courses ........................................................................................................................... 6 2.2 Advanced courses ............................................................................................................................. 7 3 Modules..................................................................................................................................................... 8 3.1 First Semester ................................................................................................................................... 8 3.1.1 Higher Mathematics 1 .................................................................................................................. 8 3.1.2 Electrical Engineering 1 ............................................................................................................... 9 3.1.3 Physics ....................................................................................................................................... 11 3.1.4 Information Technology 1 .......................................................................................................... 13 3.1.5 Introduction to Industrial Automation 1 ...................................................................................... 14 3.2 Second Semester ............................................................................................................................ 16 3.2.1 Higher Mathematics 2 ................................................................................................................ 16 3.2.2 Electrical Engineering 2 ............................................................................................................. 17 3.2.3 System Theory ........................................................................................................................... 18 3.2.4 Information Technology 2 .......................................................................................................... 20 3.2.5 Introduction to Industrial Automation 2 ...................................................................................... 21 3.3 Third Semester ................................................................................................................................ 24 3.3.1 Higher Mathematics 3 ................................................................................................................ 24 3.3.2 Electronics.................................................................................................................................. 25 3.3.3 Measurement Technology ......................................................................................................... 27 3.3.4 Foreign Language ...................................................................................................................... 28 3.3.5 Digital Signal Processing ........................................................................................................... 30 3.4 Fourth Semester .............................................................................................................................. 32 3.4.1 Industrial Automation 1 .............................................................................................................. 32 3.4.2 Control Engineering 1 ................................................................................................................ 33 3.4.3 Electrical Machines 1 ................................................................................................................. 35 3.4.4 Sensors and Actors.................................................................................................................... 36 3.4.5 Electrical Facilities ..................................................................................................................... 37 3.5 Fifth Semester ................................................................................................................................. 40 3.5.1 Internship ................................................................................................................................... 40 3.5.2 Internship Preparation and Follow-up ........................................................................................ 41 3.6 Sixth Semester ................................................................................................................................ 42 3.6.1 Industrial Automation 2 .............................................................................................................. 42 3.6.2 Process Automation ................................................................................................................... 43 3.6.3 Social Skills ................................................................................................................................ 45 3.6.4 Elective module .......................................................................................................................... 47 3.7 Seventh Semester ........................................................................................................................... 49 3.7.1 Industrial Automation 3 .............................................................................................................. 49 3.7.2 Academic Research and Writing ............................................................................................... 49 3.7.3 Bachelor’s Thesis ....................................................................................................................... 51 3.7.4 Final colloquium ......................................................................................................................... 52 1
Introduction
This manual describes the Bachelor's degree program Electrical Engineering – Industrial Automation offered
at the Faculty of Electrical Engineering and Information Technology at Karlsruhe University of Applied Sciences.
It is meant to give students and those interested in studying Electrical Engineering – Industrial Automation an
overview of the degree program (Chapter 2) as well as a detailed description of its individual modules, including their content and course types. The module manual is thus also a study guide containing comments.
The module descriptions are based on the standards specified for the introduction of credits and modularization of degree programs at the Conference of German Ministers of Education on 15 September 2000.
1.1
Modules
Modularization means that course content is thematically grouped into so-called modules and scheduled to
be learned and tested within a specific time period. Students are awarded credit points for these modules.
Modules may consist of different forms of teaching and learning and are generally comprised of courses
offered during one semester. The courses of a module may, however, also be spread over several semesters. After students have passed all exams that belong to a module, they are awarded credit points (on their
student account) and receive a grade for the module.
Modules were introduced to encourage students' mobility, as they allow for a mutual recognition of academic
achievements.
1.2
Credit points
Credit points (CP) are used to quantify the outcomes of learning. One credit point equals 30 hours of effective work, including attending lectures, preparing for courses, studying and preparing for exams. One academic year consists of 60 credit points, i.e. approx. 1800 hours of work. The hours per week and credit
points for individual courses are specified in the corresponding module descriptions.
Credit points are only awarded for the successful completion of an entire module, i.e. after all exams that
belong to a module have been successfully passed.
1.3
Examinations
The Study and Examination Regulations specify the subject examinations that must be taken to complete the
degree program Industrial Automation. Subject examinations consist of one or several course-related exams.
The grade awarded for the subject examination is generally a weighted average grade of its course-related
exams and coursework. For successful passing of the subject examination, in some cases it might be necessary to pass each of its course-related exams and coursework. This information can be found in the Study
and Examination Regulations.
In general, a subject examination consists of the course-related exams and coursework that belong to a
module. Due to limitations in the number of subject examinations and coursework of a module and the credit
points awarded for them, in exceptional cases, a subject examination may also cover two modules.
2
Overview of the degree program
The Bachelor's degree program Electrical Engineering – Industrial Automation is divided into foundation
courses and advanced courses. The foundation courses are taken during the first two semesters. The advanced courses are offered from the 3rd to the 7th semester. The 5th semester is an integrated practical
study semester (internship) and the 7th semester is scheduled for completion of the Bachelor's thesis.
Figures 1 and 2 depict an overview of the modules that must be completed for the degree program. Each
rectangle in the Figure represents a module. The modules that, according to the curriculum, should be completed during a semester are listed in a row. The columns contain thematically similar modules.
"S" stands for the number of contact hours per week (CHW) and refers to the courses specified for the module. "CP" stands for the credit points awarded for the module.
Each semester, students should obtain 30 credit points (CP). The total number of credit points required for
the Bachelor's degree program is 210. The number of contact hours per week (S) for the courses lies between 24 and 28 during the theoretical semesters.
2.1
Foundation courses
Figure 1 depicts the organizational structure of the foundation courses for the degree program Electrical
Engineering – Industrial Automation. It is based on the study and examination regulations 1 (STPO1).
Figure 1: Overview of foundation course modules
Students earn a total of 60 CP (credit points) for the foundation course modules that cover 2 semesters.
Thematically, the foundation courses are divided into five key subject areas.
The key subject area “Mathematics” is covered by two Mathematics lectures, the modules HM1 and HM2.
For the key subject area “Basics of Electrical Engineering”, an introduction to classical electrical engineering
is given in three lectures and one lab work course.
Courses in the key subject area “Electronic Systems” (basics of physics and system theory essential for electrical engineers) are meant to expand the basics acquired in electrical engineering.
Covering the key subject area “Information Technology”, students gain programming knowledge. With the
modules “Information Technology 1” and “2” they are taught the basics of information technology and a programming language (in general C/C++). Computer exercises are part of the lectures.
The key subject area “Introduction to Industrial Automation” gives a first overview into the subject.
During the first two semesters, students must take 11 graded exams and 5 exercise or laboratory courses.
2.2
Advanced courses
The advanced courses are shown in Figure 2. Here 30 CP are also awarded per semester.
Figure 2: Overview of advanced course modules
The courses "Higher Mathematics 3" and “Numerical Analysis”, where students learn numerical analysis and
programs for numerical simulation (e.g. MATLAB) by practical exercises, "Electronics", “Measurement Technology”, “Modeling and Simulation” as well as “DSP" are designed to deepen students' knowledge acquired
in the foundation courses. During the laboratory courses in Measurement Technology and Electronics, theory is put into practice. In addition, foreign language skills are acquired (usually English).
The modules offered in the fourth semester allow students to attain the broad core knowledge needed by
industrial automation engineers. They cover the following subjects: control technology, control engineering,
electrical machines 1, sensors and actuators in industrial automation, electrical facilities and power electronics.
The 5th semester is an internship semester. It mainly consists of project work carried out in industry. Besides
completing project work, students attend a block course of 4 CHW (contact hours per week) for internship
preparation and follow-up.
The 6th semester is devoted to broadening students' knowledge in an area of their choice. To do so, they
select as an elective module, according to their inclination, courses from the degree program, from another
HsKA faculty, or from another university. The courses chosen have to be approved by the Program Director.
Additionally, the following modules take place: „Industrial Automation 2“, „Process Automation“ and “Social
Skills” (including “Personnel Management” and “Business Studies”), at a total scope of 24 CHW and 30 CP.
At the beginning of the 7th semester block courses are offered for two modules. Then the Bachelor's thesis
is completed, preferably in industry. The time scheduled for completion of the thesis is 4 months. Finally the
studies are completed with a final colloquium (oral examination).
During the advanced course period, students need to take 18 exams (part of which may be graded term
papers, including a presentation on their internship, the Bachelor's thesis and final colloquium) and complete
14 pre-exam assignments (presentations, exercises, lab exercises).
3
Modules
3.1
First Semester
3.1.1
Higher Mathematics 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Electrical Engineering - Industrial Automation
Higher Mathematics 1
EATB110 Lecture Higher Mathematics 1
1st year, 1st semester
Prof. Dr. Jürgen Weizenecker
Prof. Dr. Jürgen Weizenecker, Assistant Lecturers
German
Lecture,
6 CHW
approx. 30 – 60 students
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
University entrance qualification
General:
Since all students start with a different level of knowledge, they first need to
achieve a uniform level of knowledge in mathematics.
HM1 has been designed to impart basic mathematical methods and proof
finding algorithms. Students learn early on to convert practical problems into
an appropriate mathematical model.
Interdependencies / differences to other modules:
Basic knowledge and skills of mathematics are required for many exercise
lectures, e.g. programming.
Technical / methodical / interdisciplinary competences / key qualifications:
After completion of the module students have acquired knowledge in the
following subject areas: linear algebra, matrix operations, vector analysis,
linear equations, simple differential equations, principle of complete induction. In addition, they will have learned about mathematical proof finding
algorithms and will be able to convert technical problems into mathematical
problems they can solve.
Vocational preparation: A knowledge of mathematical basics is required
later on the job.
Course content
Lecture Higher Mathematics 1


The lecture is divided into Part A: Vector analysis, linear equation
systems and matrices, with approx. 2 CHW and
Part B: Further basics with 4 CHW
Part A: Introduction to vectors, addition, subtraction, linear (in)dependence,
determinants, scalar, vector and triple product, mathematical applications,
straight lines and planes, Gauss elimination method to solve systems of
(matrix) equations, eigenvalues and eigenvectors.
Assessment methods
and criteria
Instructional media
Part B:
§1: Introduction to logic, set theory and axiomatics, number systems and
complex numbers, absolute values and inequations, logical problems and
cases when solving equations.
§2: Complete induction, elements of combinatorics and statistics, sequence
of numbers, number series, limit values, convergence criteria, Cauchy
product. Mathematical applications (e.g. number e and root calculation).
§3: Functions (areas of application), continuity, inverse function,
polynominals, rational functions, parametric representation, power series,
elementary functions, introduction to integral calculus (Riemann).
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.)





Blackboard
Lecture notes
Transparencies
Computer algebra programs (MAPLE and MATLAB)
Collection of exercises with practical examples, some with solutions
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Fetzer-Fränkel, Mathematik Band 1 VDI Verlag
Meyberg, Vachenauer: Höhere Mathematik 1, Springer Verlag
Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler Band 1
sowie Mathematische Formelsammlung Vieweg Verlag.
Westermann, Thomas: Mathematik für Ingenieure mit MAPLE, Band 1
3.1.2
read-
Electrical Engineering 1
Degree program
Module
Module courses
Electrical Engineering - Industrial Automation
EATB120 Electrical Engineering 1
EATB121 Lecture Direct Current Technology
EATB122 Lecture Fields
Year of study
1st year, 1st semester
Module coordinator
Prof. Dr. Manfred Litzenburger
Lecturers
Prof. Dr. Manfred Litzenburger, Prof. Dr. Thomas Köller
Language of instruction German
Teaching method / learn- Lecture Direct Current Technology: 3 CHW
ing activities, attendance Lecture Fields: 3 CHW
Mode of delivery
Face-to-face
Type of course unit
Compulsory module
Level of course unit
First-cycle
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes
and competences
Course content
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
University entrance qualification
General:
Knowledge of electric and magnetic fields, voltage, electricity and power is generally recognized as basic knowledge of engineers of any electrical engineering
discipline. This knowledge is a basic requirement for a number of advanced
courses. In the lectures, students become familiar with the fundamental terms of
scientific working and causation and calculation. They further learn about basic
properties of fields and linear circuits, possibilities of energy transformation and
calculation methods and are encouraged to think in the third dimension.
Interdependencies / differences to other modules:
The knowledge attained in the lecture Mathematics 1 - Basics will be applied.
The two lectures are meant to complement each other regarding the examples
used and skills imparted.
Technical / methodical / interdisciplinary competences / key qualifications:
A basic understanding of electric and magnetic fields and basic knowledge of
direct current technology belong to the necessary equipment of any engineer.
Every engineer has to know how to perform calculations in physical units and
how to convert them.
Vocational preparation:
Lectures of the first semester prepare students indirectly for their future jobs, as
they generally lay the groundwork for an understanding required in the advanced courses.
Lecture Direct Current Technology







Fundamental terms, voltage, current, power
Two-terminal circuits, arrow systems
Loop and node equations
Substitute voltage source
Power adjustment
Superposition
Graphical methods for voltage and power calculation with non-linear
two-terminal circuits
 Node-potential methods
Lecture Fields
 Fundamental terms, charge, voltage, electric field strength
 Calculation of electric fields
 Capacity
 Forces in an electrostatic field
 Magnetic field
 Calculation of magnetic fields
 Law of induction
 Inductance
 Magnetic resistance
 Forces in a magnetic field
Assessment methods and Students' theoretical knowledge is evaluated through a written examination
criteria
(duration: 90 min.)
Instructional media
 Blackboard

Slides (PowerPoint, PDF)

Detailed lecture notes

Experiments

Simulations in QuickField (Fields)

Simulations with PSPICE (Basics of Electrical Engineering 1)

Self-study exercises

Collection of previous exams, including solutions
Recommended optionalStudent can choose courses from the General Studies’ program
program components
Work placements:
n/a
Recommended reading
There are various very good books on the subject basics of electrical engineering. The lecture Basics of Electrical Engineering 1 is based on:
Führer/Heidemann/Nerreter: Grundgebiete der Elektrotechnik Band 1:
stationäre Vorgänge, Hanser Verlag, 5. Aufl. 1994.
The lecture Fields is based on:
Büttner, W.-E.: Grundlagen der Elektrotechnik 1, Oldenburg, München, 1. Aufl.
2004.
3.1.3
Physics
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Electrical Engineering - Industrial Automation
Physics
EATB150 Lecture Physics
1st year, 1st semester
Prof. Dr. Harald Sehr
Prof. Dr. Harald Sehr, Assistant Lecturers
German
Course content
Lecture Physics:
Lecture including lab work, 4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 60 hours of self-study
4 CP
Basic knowledge of mathematics and physics
General: This module has been designed to impart a basic theoretical and
practical knowledge of technical optics. In addition, during the lab course,
students will be introduced to the basics of statistical data analysis.
Interdependencies / differences to other modules: This lecture imparts the
basics required for the advanced course lectures in this field, such as for
opto-electronics.
Technical / methodical / interdisciplinary competences / key qualifications:
Students learn about phenomena in optics and obtain an understanding
thereof. As physical phenomena are described with the help of mathematics, this lecture nicely complements the Mathematics modules. Based on
the lecturer's long-term, varied experience in industry, practical examples of
research and development are given in order to impart key qualifications.
Vocational preparation: In various practical applications in industry and daily
life, optical aspects will increasingly play a pivotal role. They make up a
major part of a communication engineer's job.

Optic spectroscopy and atomic model

Waves and their characteristics

Geometrical optics

Wave optics

Polarization

Quantum optics
 LASER
The lectures courses include experiments.
The lab course includes experiments on:
Assessment methods
and criteria

Optical spectrometry

Lenses and lens systems

Oscillations and inertia
 Viscosity
Students' theoretical knowledge is evaluated through a written examination
(duration: 90 min.) The practical skills acquired when working with gauges
or carrying out lab experiments are tested in colloquia (while students carry
out an experiment) and through a written final exam.
Instructional media

Blackboard

Slides (transparencies, PowerPoint)

Maple simulation programs

Simulation programs available on the Internet

Exercises

Laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended reading
Lecture Physics
Werner Stolz: Starthilfe Physik, Teubner-Verlag, ISBN 3-519-23034-8
Hering, Martin, Stohrer: Physik für Ingenieure, VDI-Verlag, ISBN 3-18401398-7
Paul Dobrinski, Gunter Krakau, Anselm Vogel: Physik für Ingenieure,
Teubner-Verlag, ISBN 3-519-36501-4
Kuypers F.: Physik für Ingenieure (Band 1: Mechanik und Thermodynamik
Band 2: Elektrizität und Magnetismus, Wellen, Atom- und Kernphysik),
VCH-Verlag, ISBN 3-527-29361-2 und ISBN 3-527-29362-0
Bergmann L., Schaefer C.: Experimentalphysik Band III- Optik, ISBN 3-11012973-6
Gerthsen C.: Physik, Springer-Verlag, ISBN 3-540-65479-8
Lipson, Lipson, Tannhauser : Optik, Springer-Verlag, ISBN 3-540-61912-7
Hecht, E.: Optik, Oldenbourg, ISBN 3-486-24917-7
Autorengemeinschaft der TU Dresden: Physik in Aufgaben und Lösungen,
Teil 1 und 2, Fachbuchverlag GmbH Leipzig, ISBN 3-343-00777-3 und
ISBN 3-343-00771-4
Helmut Lindner: Physikalische Aufgaben, Friedr. Vieweg&Sohn, ISBN 3528-14879-9
And these make for fun reading in the evening:
Cheryl Benard – Edit Schlaeffer: Die Physik der Liebe, Kösel-Verlag, ISBN
3-466-30552-7
Robert L. Wolke: Was Einstein seinem Friseur erzählte (Naturwissenschaft
im Alltag), Piper Verlag, ISBN: 3-492-23746-0
Robert Gilmore: Die geheimnisvollen Visionen des Herrn S. (Ein physikali-
sches Märchen nach Charles Dickens), Birkhäuser-Verlag, ISBN 3-76435335-X
3.1.4
Information Technology 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Electrical Engineering - Industrial Automation
Information Technology 1
EATB160 Lecture Information Technology 1 with computer exercises
1st year, 1st semester
Prof. Dr. Marianne Katz
Prof. Dr. Marianne Katz, Prof. Dr. Klaus Wolfrum
German
Lecture with integrated exercises, 4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 120 hours of self-study
6 CP
Basic PC knowledge and skills
General:
The module has been designed to impart basic theoretical and practical
knowledge of modern methods and procedures of programming data processing systems. The most important objective of the module is to introduce
the basics of software creation.
Interdependencies / differences to other modules:
This module lays the foundation for understanding how software development systems work and the programming procedure. Special focus is laid
on identifying the characteristics of digital computing processes (finiteness
and digitality of value ranges and the system)
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students will understand the structure
of modern programming techniques and how they work. Students will be
familiar with procedures for creating simple algorithms and programs on a
computer and will also be able to apply them accordingly.
Vocational preparation:
The programming technique used in the programming language C/C++
belongs to the core tasks of an engineer of electrical engineering, power
engineering and renewable energy. Students carry out lab exercises in a
development environment frequently used in practice.
Lecture Basics of Information Technology 1:
Overview:





Structure of programming languages (lexical and syntactic structure), formal description
The term algorithm, introduction example in C.
The programming procedure (edit, translate, link)
Structograms/documentation (program sequence plan, NassiShneiderman)
Data types, variables, constants
 Operators, expressions, instructions
 Control instructions (while, for, do..while)
 Functions, parameters
 Pointers, address arithmetic
Exercises:

Assessment methods
and criteria
to learn how to work in a development environment (editor, compiler, linker, debugger)
 to learn about the structure and behavior of control structures
 to attain knowledge about the value ranges of data types (overflows, operator priority)
 Memory structure
 Addressing
Students' theoretical knowledge is evaluated through a written examination
(duration: 90 min.) Practical programming skills and working with the development system are evaluated through practical programming exercises and
written reports.





Instructional media
Blackboard
Slides (PowerPoint, pdf)
Development of software: PC and projection
Collection exercises, including solutions
Detailed examples for special topics available on Server
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Skript M. Katz, ANSI C 2.0, Grundlagen der Programmierung, HERDTVerlag, Nackenheim, 2. Aufl., 2003
Kernighan/Ritchie: Programmieren in C, Carl-Hanser Verlag, München,
neueste Auflage.
On the market and Internet there are various books available for different
needs and objectives.
Students have access to free licenses for their computer for the PC operating system and the development environment used.
3.1.5
read-
Introduction to Industrial Automation 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
Electrical Engineering - Industrial Automation
EATB 170 Introduction to Industrial Automation 1
EATB171 Digital Technology
EATB172 Laboratory Digital Technology
1st year, 1st semester
NN
NN
German
Lecture, 4 CHW
Laboratory, 2 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
course is delivered
Workload
ECTS credits
Prerequisites
Course
tives/learning
comes and
tences
objecoutcompe-
Lecture: 60 contact hours, 90 hours of self-study
Laboratory: 30 contact hours, 60 hours of self-study
8 CP
University entrance qualification
General:
This module has been designed to impart a basic understanding of the procedures, methods, and applications of digital technology.
Interdependencies / differences to other modules:
Digital technology forms the basis of various other technical fields, such as
microcontroller technology, digal signal processing, and programming.
Technical / methodical / interdisciplinary competences / key qualifications:
Technical / methodical competences: Description and analysis of digital
signals and systems.
Interdisciplinary competences: Basic knowledge for electrical engineers.
Vocational preparation:
Knowledge and understanding of the basic methods of digital technology
are among the core competencies of every electrical engineer and form the
prerequisite for lifelong learning.
Lecture:
 Number systems
 Codes
 Boolean algebra
 Karnaugh-Veitch map
 Basic circuits in digital technology
 Computational circuits
 Multiplexers
 Digital circuits
 Sequential circuits
 Shift registers
Course content
Laboratory:
 Creation of digital circuits using a PLD
 Definition of the circuit with the ABEL program
 Definition of the circuit with the schematic editor
 Use of the Software Design Expert
 Testing the circuit with the demo board
 6 experiments: Two's complement and comparators, summer and
calculator, code transcriber and parity generator, chaser and counter, indicator and 7-segment display, decade counter and timer
Assessment methods
and criteria
Instructional media
Lecture: Students' theoretical knowledge is evaluated through a written
examination (duration: 90 min.)
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Pernards, Peter: Digitaltechnik. Hüthig, Heidelberg.
read-



Lecture notes
Blackboard
Transparencies
3.2
Second Semester
3.2.1
Higher Mathematics 2
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Assessment methods
and criteria
Electrical Engineering - Industrial Automation
Higher Mathematics 2
EATB210 Lecture Higher Mathematics 2
1st year, 2nd semester
Prof. Dr. Weizenecker
Prof. Dr. Weizenecker, Assistant Lecturers
German
Lecture, 6 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Module HM1
General:
Differential and integral calculus, series expansions and transformations.
Students convert practical problems into an appropriate mathematical model and solve them.
Interdependencies / differences to other modules:
Basic knowledge and skills of mathematics are required for many of the
exercise lectures.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students are familiar with differential
and integral calculus of a variable, computer science, error checking of
derivation and efficient work practices. The knowledge obtained is applied
in many lectures of electrical and communication engineering.
Vocational preparation:
Mastering differential and integral calculus and Fourier series belongs to
students' future job requirements.
Lecture Higher Mathematics 2
First differential calculus is introduced with a variable (rules, geometrical
meaning, computer science).
Then it is applied in: curve sketching, practice-relevant extreme value exercises, error calculation, equation solving, parametric representation,
Integral calculus: substitution rule, partial integration, rational functions,
geometrical and physical-technical applications,
Taylor series, numerical methods, improper integrals.
Fourier series: periodic processes, derivation, symmetry, computer science,
superposition principle, complex form, short introduction to Fourier and
Laplace transformation
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.)






Instructional media
Blackboard
Lecture notes
Transparencies
Computer algebra programs (MAPLE and MATLAB)
Selected exercises
Collection of exercises, (some) including solutions
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Fetzer-Fränkel, Mathematik Band 1+2 VDI Verlag.
Meyberg, Vachenauer: Höhere Mathematik 1+2, Springer Verlag.
Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler Band
1+2.
sowie Mathematische Formelsammlung Vieweg Verlag.
Westermann, Thomas: Mathematik für Ingenieure mit MAPLE, Band 1+2.
3.2.2
read-
Electrical Engineering 2
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Electrical Engineering - Industrial Automation
EATB220 Electrical Engineering 2
EATB221 Alternating Current Technology
EATB222 Laboratory Alternating Current Technology
1st year, 2nd semester
Prof. Dr.-Ing. Manfred Strohrmann
Prof. Dr.-Ing. Alfons Klönne, Prof. Dr.-Ing. Manfred Strohrmann
German
Lecture Alternating Current Technology, 4 CHW
Laboratory Alternating Current Technology, 2 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Modules Basics of Electrical Engineering 1 and Higher Mathematics 1-2
General:
This module has been designed to impart a basic theoretical knowledge of
working with sinusoidal signals. This is a core subject for electrical engineers with course specialization in communication engineering or power
engineering.
Interdependencies / differences to other modules:
This module covers stationary sinusoidal signals. Unlike in direct current
technology, the lecture focuses on alternating quantities. Contrary to electronics, this module covers entirely passive components only. Knowledge
acquired of frequency responses is needed later on for the module Control
Engineering.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students will have gained the
knowledge required to mathematically handle alternating quantities of constant frequency.
Vocational preparation:
Knowledge of alternating current technology is required in communication
and power engineering in order to analyze measured variables.
Course content
Lecture Alternating Current Technology:









Assessment methods
and criteria
Instructional media
Periodic, time-dependent quantities and their description in complex
sinusoidal oscillations
Linear R, L, C elements with sinusoidal stimuli
Loop and node equations with complex voltages and currents
Currents, voltages and power in linear networks with sinusoidal
stimuli
Networks with variable frequency
Frequency response of interconnected quadrupoles
Resonance and quality factor
Multiphase systems (rotary current)
Lab course Alternating Current Technology
 Analogue oscilloscope
 Active two-terminal network
 Root-mean-square measurement
 Static and dynamic properties of operational amplifiers
 Digital oscilloscope
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.)




Blackboard
Transparencies
Collection exercises, including solutions
Previous examinations
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
A. Führer, K. Heidemann, W. Nerreter: „Grundgebeite der Elektrotechnik“,
Band 2: Zeitabhängige Vorgänge, Carl Hanser Verlag. München, 5. Auflage
3.2.3
read-
System Theory
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Electrical Engineering - Industrial Automation
System Theory
EATB260 Lecture System Theory
1st year, 2nd semester
Prof. Dr. Manfred Strohrmann
Prof. Dr. Manfred Strohrmann
German
Lecture, 4 CHW
Face-to-face
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 60 hours of self-study
4 CP
None
General:
Students gain an understanding of basic electro-technical and physical laws
and how they are applied in calculation methods.
Interdependencies / differences to other modules:
The module is closely connected to the mathematics modules HM1-HM3.
Technical / methodical / interdisciplinary competences / key qualifications:
Application of the calculation methods for different energy domains
Methodical competences:
Application of basic electro-technical and physical laws and calculation
methods to solve electro-technical problems.
Interdisciplinary competences:
System theory is basic knowledge required for nearly all other electrotechnical subject areas.
Vocational preparation:
Understanding basic electro-technical and physical laws and applying them
in calculation methods belong to the core competencies of electrical engineers.
Lecture
Course content







Guidelines of modeling
Basic signals
Linear differential equations
Description of systems in time domain
Laplace transformation
Description of linear systems in image domain
Fourier series
Assessment methods
and criteria
Instructional media
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.)
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Scheidthauer, Rainer: Signale und Systeme, Teubner Verlag
Föllinger, Otto: Laplace- und Fourier-Transformation. Heidelberg, Hüthig
read-




Lecture notes
Blackboard
Projector presentation
Collection of exercises
3.2.4
Information Technology 2
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Electrical Engineering - Industrial Automation
Information Technology 2
EATB240 Information Technology 2 with computer exercises
1st year, 2nd semester
Prof. Dr. Marianne Katz
Prof. Dr. Marianne Katz, Prof. Dr. Klaus Wolfrum
German
Lecture, exercises
4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 120 hours of self-study
6 CP
Module Information Technology 1
General:
The module has been designed to impart basic theoretical and practical
knowledge of modern methods and procedures of programming data processing systems. An introduction to the basics of structured and objectoriented software creation needed for complex programs is the major objective.
Interdependencies / differences to other modules:
In this module, students learn about structured and object-oriented programming in C/C++. This knowledge is often used in project work, final assignments and theses.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students will be able to use structured
programming techniques to create more complex programs in C/C++.
Vocational preparation:
The programming technique used in the programming language C/C++
belongs to the basic skills of an engineer of electrical engineering, power
engineering and renewable energy. Students carry out lab exercises in a
development environment frequently used in practice.
Lecture Basics of Information Technology 2:
 Brief recapitulation of most important basics
 Functions, parameter passing with pointer, validity ranges
 Modular programming of complex algorithms
 Vectors, matrices, strings
 Structures, recursive structures
 Recursive algorithms
 Linked lists, trees
 Object-oriented programming paradigms
 Classes, methods, inheritance, operator overflow
Exercises:





Creating, testing and executing C programs
Designing and testing more complex programs
Text editing with "strings"
Importing data from external media
Networked structures
Assessment methods
and criteria
Students' theoretical knowledge is evaluated through a written examination
(duration: 90 min.) Practical programming skills and working with the development system are evaluated through practical programming exercises and
written reports.





Instructional media
Blackboard
Slides (PowerPoint, pdf)
Development of software: PC and projection
Collection exercises, including solutions
Detailed examples for special topics available on Server
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Skript M. Katz: ANSI C 2.0, Grundlagen der Programmierung, HERDTVerlag, Nackenheim, 2. Aufl., 2003
Skript M. Katz: ANSI C++ 2.0, Grundlagen der Programmierung, HERDTVerlag, Nackenheim, 2. Aufl., 2003
There are various books available for different needs and objectives on the
market and Internet.
Students have access to free student licenses for their computer for the
current PC operating system, MS Windows and the development environment used in lecture sessions.
3.2.5
read-
Introduction to Industrial Automation 2
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Electrical Engineering - Industrial Automation
EATB230 Introduction to Industrial Automation 2
EATB231 Microcontroller Systems
EATB232 Laboratory Microcontroller Systems
1st year, 2nd semester
Prof. Dr.-Ing. Jürgen Gentner
Prof. Dr.-Ing. Jürgen Gentner
German
Lecture: 4 CHW
Laboratory: 2 CHW, in groups of 2 students each
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
8 CP
Module Information Technology 1
General:
This module is meant to help students gain a basic understanding of the
structure and functioning of microcomputers.
Interdependencies / differences to other modules:
Students attending this module should have an understanding of procedural
programming techniques - as taught in the module "Basics of Information
Technology". From previous attendance of "Basics of Information Technology", they should also be familiar with: design tools, such as structograms
and software development environments.
Technical / methodical / interdisciplinary competences / key qualifications:
Looking at exercises, students will learn how to determine computer system
requirements, design a suitable computer architecture (based on criteria
taught in this module) and then implement it accordingly in hard- and software.
Vocational preparation:
The use of microcontrollers practically dominates all fields of activity of an
engineer of electrical engineering – Industrial Automation.
Course content
Lecture Microcontroller Systems:








Fundamental terms, representation and saving of information
Basic structure of a computer: Memory, BUS system, CPU
Functional elements and functioning of a CPU
Architecture of a microcontroller C517, command set and programming model
Assembler programming technique
Interfaces and interface components
Microcomputer system architectures
Optimization strategies for microcomputer architectures
Exercises:
Experiments:

Assessment methods
and criteria
Creating programs in Assembler, testing programs in a C517 target
system with the help of a remote debugger
 Developing and testing applications of the following areas: real-time
applications, analog value processing, communication.
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The practical skills will be assessed during the laboratory experiments based on colloquia and written reports for each experiment.




Instructional media


Blackboard
Lecture notes as print-out and PDF file
Projector presentation of all images included in the lecture notes
Projector presentation of program examples using test and simulation programs
Collection of exercises
Laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Flik, Thomas, Liebig, Hans: Mikroprozessortechnik, 5. Auflage, Springer
1998
Beierlein,
Hagenbruch:
Taschenbuch
Mikroprozessortechnik,
Fachbuchberlag Leipzig 1999 / 2. Auflage: 2001
Schweizer, Wunsch, Fadini: Mikrorechner, Architektur und Programmierung, Viehweg 1987
Schaaf, Bernd-Dieter, Mikrocomputertechnik, Hanser-Verlag, 1999
Schmitt, v. Wendorff, Westerholz: Embedded-Control-Architekturen, Han-
read-
ser-Verlag 1999
R. Johannis / N. Papadopoulos: MC-Tools 5: Handbuch des 80C517, Feger+Co, Hardware+Software Verlags OHG, Traunreut, 1995
V. Keim, G. Schnell: 8051 Mikrocontroller-Praktikum, Franzis-Verlag 1996
Walter, Jürgen: Mikrocomputertechnik mit der 8051-Controller-Familie,
Springer 1994
Bermbach, Rainer: Embedded Controller, Hanser-Verlag, 2001
SIEMENS C500 User's Manual (available on HsKA intranet)
3.3
Third Semester
3.3.1
Higher Mathematics 3
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Assessment methods
Electrical Engineering - Industrial Automation
EATB310 Higher Mathematics 3
EATB311 Lecture Higher Mathematics 3
EATB312 Numerical Analysis
2nd year, 3rd semester
Prof. Dr. Jürgen Weizenecker
Prof. Dr. Jürgen Weizenecker, Assistant Lecturers
German
Lecture, 4 CHW
Exercises, 2 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Modules HM1 and HM2
General: Mastering of differential calculus (and partly integral calculus) of
several variables as well as of conventional differential equations. Students
convert practical problems to an appropriate mathematical model and solve
them (using computer algebra).
Interdependencies / differences to other modules:
Advanced mathematical knowledge and skills are required for many technical and physical exercise lectures.
Technical / methodical / interdisciplinary competences / key qualifications:
Students understand how to apply proof-finding algorithms to mathematical
problems and critically question seemingly simple results. Students learn to
abstract exercises and find parallels in other mathematical fields. The
knowledge obtained is applied in many lectures of electrical and communication engineering.
Vocational preparation: Mastering differential and integral calculus as well
as differential equations belongs to students' future job requirements.
Lecture Higher Mathematics 3
First the knowledge acquired in HM1 is broadened by adding two or several
variables.
Then differential calculus with two or several variables is introduced. (rules,
geometrical meaning, computer science)
Application: Extreme values for functional surfaces and calculation of errors
Integral calculus: parameter-dependent (including improper) integrals with
(complex) parameters (because of Fourier and Laplace transformation),
continuity, differentiation according to parameter.
Numerical Analysis:
Introduction to MATLAB and different applications of MATLAB
Students' theoretical knowledge is evaluated through a written examination
and criteria
Instructional media
(duration: 120 min.)
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Fetzer-Fränkel, Mathematik Band 1+2 VDI Verlag.
Meyberg, Vachenauer: Höhere Mathematik 1+2, Springer Verlag.
Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler Band
1+2+3 sowie Mathematische Formelsammlung Vieweg Verlag.
Westermann, Thomas: Mathematik für Ingenieure mit MAPLE, Band 1+2.
Gramlich, Günter M: Eine Einführung in MATLAB www.rz.hsulm.de/~gramlich
Schubiger, Thomas: MATLAB an der ETH Zürich. www.home.hskarlsruhe.de/~brur0001/
3.3.2
read-






Blackboard
Lecture notes
Transparencies
Computer algebra program MATLAB
Collection of exercises with practical examples, some with solutions
Laboratory class
Electronics
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
tives/learning
comes and
tences
objecoutcompe-
Electrical Engineering - Industrial Automation
EATB330 Electronics
EATB331 Lecture Electronics
EATB332 Laboratory Electronics
2nd year, 3rd semester
Prof. Dr. Rudolf Koblitz
Prof. Dr. Rudolf Koblitz
German
Lecture, 4 CHW
Lab exercises, 2 CHW in groups of 2-3 students each
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 150 hours of self-study
8 CP
Courses Direct Current Technology, Fields, Alternating Current Technology
Higher Mathematics 1 and Higher Mathematics 2
General: The objective of this module is to teach students how active and
passive electronic components and their basic circuits work. In accompanying lab exercises, students learn how to use the circuit simulation program
PSpice.
Interdependencies / differences to other modules: This module covers small
and large signal behavior of components and circuits. Questions related to
the switching of larger currents and high voltages are dealt with in the Power Electronics module.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed this module, students are capable of analyzing electronic circuits and calculating their transfer behavior. They are further able
to design circuits according to the defined criteria.
Vocational preparation: Applied circuit technology, using electronic components and integrating them into electro-technical systems is one of the core
tasks of an electrical engineer.
Course content
Lecture Electronics:






Recapitulation of essential basics of Electrical Engineering I-II, specifically passive RC networks
Properties of semiconductor materials
Semiconductor diodes
Bipolar transistor with basic circuits for analog and digital electronics
Heat dissipation with semiconductor components
Properties and structure of operational amplifiers,
circuits for analog signal processing
Lab course Electronics (simulation with PSpice / experiments using real
circuits)







Assessment methods
and criteria
Transfer behavior of RC networks in time and frequency domain,
characteristic curves of diodes and bipolar transistors
Small signal amplifiers with bipolar transistor
Differential amplifier
Complementary push-pull final stage
Field-effect transistors and their basic circuits
Basic circuits of operational amplifiers
Compactors and Schmitt trigger
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The skills acquired for using measurement equipment
will be assessed during the laboratory experiments based on colloquia and
written reports for each experiment.





Instructional media
Blackboard
Transparencies
Circuit simulation with PSPice
Collection of exercises with solutions
Detailed laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
E. Hering, K. Bressler, J. Gutekunst: Elektronik für Ingenieure, Springer,
Berlin, 4. Aufl. 2001
U. Tietze, C. Schenk: Halbleiter-Schaltungstechnik, Springer, Berlin, 12.
Aufl. 2002
P. Horowitz, W. Hill: The Art of Electronics, Cambridge University Press, 2
Aufl. 1989
read-
3.3.3
Measurement Technology
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
tives/learning
comes and
tences
objecoutcompe-
Electrical Engineering - Industrial Automation
EATB320 Measurement Technology
EATB321 Lecture Measurement Technology
EATB322 Lab course Measurement Technology
2nd year, 3rd semester
Prof. Dr. Klaus Wolfrum
Prof. Dr. Klaus Wolfrum
German
Lecture, 4 CHW
Lab exercises, 2 CHW in groups of 3 students each
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Courses Direct Current Technology, Fields, Alternating Current Technology
Higher Mathematics 1 and Higher Mathematics 2
General: This module has been designed to impart basic measurement
procedures for electrical and non-electrical quantities. Statistical and system
errors as well as measurement uncertainty are also dealt with thoroughly. A
further objective of the module course is that students learn how to carry out
plausibility checks of measurement results in order to limit the impact of
errors.
Interdependencies / differences to other modules: In this module, measuring circuits are mainly used as circuit blocks. Details of circuit technology
are covered in the Electronics module.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed this module, students are capable of defining measurement system requirements, selecting and connecting appropriate sensors and components, whilst accounting for the measurement accuracy
required. They have further learned to carry out plausibility checks of measurement results and limit error impact.
Vocational preparation: Recording and processing measured values is of
great importance in electrical engineering. The analysis, design and handling of sensors, measurement equipment and systems is one of the core
tasks of a graduate of the degree program Electrical Engineering - Industrial
Automation.
Course content
Lecture Measurement Technology:







SI system
Possible sources of error
Parameters of time-variable quantities
Analog measuring elements and measurement equipment
Oscilloscope
Operational amplifiers in measurement technology
Digital measurement procedures and measurement equipment





Measuring voltage, current and power
Voltage transformers
Real power, active energy and power factor
Resistance and impedance measurement
Measurement procedures for measuring non-electrical quantities
Lab course Measurement Technology
Experiments:






Assessment methods
and criteria
Analog oscilloscope
Digital oscilloscope
Rotary current power measurement
Temperature measurement and heat dissipation
Measuring circuits with operational amplifiers
PSpice simulation of metrological circuits:
Bridge amplifiers, meter rectifiers
Digital-analog converters, analog-digital converters
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The skills acquired for using measurement equipment
will be assessed during the laboratory experiments based on colloquia and
written reports for each experiment.




Instructional media
Blackboard
Transparencies
Simulation of measuring circuits with PSPice
Detailed laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
E. Schrüfer: Elektrische Messtechnik, Hanser, München, 8. Aufl. 2004
R. Lerch: Elektrische Messtechnik, Springer, Berlin, 2. Aufl. 2004
K. Bergmann: Messtechnik, Teubner, Stuttgart, 6. Aufl. 2000
T. Mühl: Einführung in die elektrische Messtechnik, Teubner, Stuttgart, 1.
Aufl. 2001
3.3.4
read-
Foreign Language
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method, attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Electrical Engineering - Industrial Automation
EATB360 Foreign Language
English
2nd year, 3rd semester
NN
Lecturers of the Foreign Language Institute
English
Seminar, 4 CHW
Face-to-face
Compulsory
First-cycle
Winter semester and summer semester
Workload
ECTS credits
Prerequisites
Course
objectives/learning outcomes
and competences
Course content
Assessment methods
and criteria
Instructional media
Contact hours: 60 h, self-study: 60 h
4 CP
English language knowledge at A2-level CEFR
Technical / methodical / interdisciplinary competences / key qualifications:
Upon successful completion, students can efficiently deal with typical business situations in English language, especially in spoken language. The
main subjects are telephoning, presenting, participating in meetings,
negociation and informal conversations.
Vocational preparation:
Very good English language proficiency is indispensable in modern working
life. In many areas, business fluent English is a pre-requisite.
Depending on their proficiency, students can continue with language acquisition on different levels. At the first two levels (Professional English B1 and 2),
students repeat grammar and deal with business and intercultural subjects in
general, e.g. applying, describing products and services, making business
calls, participating in a meeting, presenting. Upon successful completion of
the course, students have attained the levels B1 and B2 (Independent User)
of the Common European Framework of Reference for Languages.
At level C1, students focus on technical and business English.
Business English focuses on speaking the language and working in small
groups. At the beginning of the semester, student groups found a simulated
company, which is systematically designed and developed over the course
of the semester. At the same time, vocabulary and phrases regarding company structure, meetings, negociations, marketing, production and sales,
finances, reporting, and presentations are systematically treated. Hereby,
the students have the necessary language means to realize the different
parts of the simulation in English. Highlights of the course include the simulated trade fair, the recruitment process, and the final presentation.
Technical English is an interdisciplinary course which introduces and practices the structures common in technical writing and sub-technical terminology. The exercises include giving presentations with a technical aspect, reading technical texts and discussing the content, and writing summaries of
technical lectures.
Students' theoretical knowledge of system theory is evaluated through a
written examination (duration: 90 min.), presentations, and project work

Blackboard

Transparencies

Audio and video segments

Internet-based exercises

Simulations and group work

Written report, presentations
Recommended optional Student can choose courses from the General Studies’ program
program components
Work placements:
n/a
Recommended reading I. Wood und A. Williams: Pass Cambridge BEC Preliminary, Summer-town,
Oxford, 2001.
I. Wood, P. Sanderson und A. Williams: Pass Cambridge BEC Vantage,
Summertown, Oxford, 2001.
I. McKenzie: English for Business Studies, Cambridge University Press,
Cambridge, 2002.
sowie Skripten des Instituts für Fremdsprachen und
aktuelle Artikel aus Zeitschriften und dem Internet
3.3.5
Digital Signal Processing
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Electrical Engineering - Industrial Automation
EATB370 Digital Signal Processing
EATB371 Modeling and Simulation
EATB372 Theory of Digital Systems
EATB373 Laboratory DSP
2nd year, 3rd semester
Prof. Dr. Manfred Strohrmann
Prof. Dr. Thomas Köller
Prof. Dr. Manfred Strohrmann
Prof. Dr. Franz Quint
German
Lecture, 6 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
Contact hours: 90 h, self-study: 150 h
6 CP
Foundation courses
General:
The objective is that students gain an understanding of basic electrotechnical and physical laws and how they are applied in calculation methods.
Technical / methodical / interdisciplinary competences / key qualifications:
Methodical competence: Application of basic electro-technical and physical
laws and calculation methods to solve electro-technical problems.
Interdisciplinary competence: Basic knowledge is required for nearly all
other electro-technical subject areas.
Vocational preparation:
Understanding basic electro-technical and physical laws and applying them
in calculation methods belong to the core competencies of electrical engineers.
Course content
Lecture „Modeling and Simulation“
 Basics of simulation and modeling
 Learning about modeling and simulation with various examples
 Introduction to the program package Matlab/Simulink
 Numerical inaccuracies.
 Convergence of solution procedures.
 Parameter identification procedures.
Lecture „Theory of Digital Systems“
 Fourier transformation of analog and digital signals
 z-transformation and discrete Fourier transformation
 Analysis and description of digital systems
 Filters (high-pass, low-pass, all-pass)
Laboratory "Digital Signal Processing"
 Necessity of digital signal processing






Assessment methods
and criteria
Parameters for the selection of a DSP
Architecture and assembler of a floating point processor
Particularities of programming signal processors in C
Connection to the environment: A/D converter and serial interface
Interrupt programming and timer
Concept of block processing and DMA
 Creation of various programs for the practical implementation of the
knowledge acquired
Modeling and Simulation: Students' theoretical knowledge is evaluated
through a written examination (duration: 60 min.)
Theory of Digital Systems: Students' theoretical knowledge is evaluated
through a written examination (duration: 90 min.)




Instructional media
Lecture notes
Blackboard
Transparencies/projector
Exercises
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
A.J. Schwab Begriffswelt der Feldtheorie, Springer-Verlag Berlin Heidelberg 1993; 4. Aufl.
Föllinger, Otto: Laplace- und Fourier-Transformation. Heidelberg, Hüthig
J. Hoffmann, U. Brunner: Matlab & Tools, Addison-Wesley.
A. Angermann,M. Beuschel/Martin Rau/U. Wohlfarth: Matlab - Simulink –
Stateflow, Oldenbourg Verlag.
read-
3.4
Fourth Semester
3.4.1
Industrial Automation 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Electrical Engineering - Industrial Automation
EATB440 Industrial Automation 1
EATB441 Lecture Control Technology
EATB442 Laboratory Control Technology
2nd year, 4th semester
Prof. Dr.-Ing. Jürgen Gentner
Prof. Dr.-Ing. Jürgen Gentner
German
Lecture, 4 CHW
Lab exercises, 2 CHW in groups of 2 students each
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Knowledge of courses: Information Technology, Microcontroller Systems.
General:
Students will learn about description and design methods for solving control-related tasks in a systematic manner.
Interdependencies / differences to other modules:
This module focuses on standard control methods (control units, control
networks, state graphs) and their visualization on the computer type "Programmable Logic Controller" (PLC) whereas modeling technical processes
in a graphical or mathematical form, cross-system view up to humanmachine-interface are a main part of the module "Industrial Automation"
Technical / methodical / interdisciplinary competences / key qualifications:
Students will be able to determine the relevant control requirements for any
technological task and to describe them in a clear, formalized manner in
order to create solution structures. They will then be able to implement them
in real programs based on the IEC standard 61131-3
Vocational preparation:
Solving control-related tasks is one of the key tasks of an engineer in the
field of power engineering and industrial automation.
Lecture Control Technology:




System overview: Sensors-Actors PLC systems
Number depiction, coding systems
Design methods for control technology
Programming model of PLC
Laboratory Control Technology:
Experiments:

Design, project planning and programming of control-related solu-


Assessment methods
and criteria
tions for a process model from manufacturing automation
Test and commissioning of hardware and software for a subprocess (each group of participants for itself)
Test and commission of the entire process model (all participants
together)
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The practical skills will be assessed during the laboratory experiments based on colloquia and written reports for each experiment.




Instructional media


Blackboard
Lecture notes as print-out and PDF file
Projector presentation of all images included in the lecture notes
Projector presentation of program examples using test and simulation programs
Solutions to selected exercises
Laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Schnell, G.: Sensoren in der Automatisierungstechnik, Vieweg, 1993
Olsson / Piani: Steuern, Regeln, Automatisieren, Hanser 1993
Polke, M.: Prozeßleittechnik, 2. Auflage, Oldenbourg-Verlag 1994
Rembold / Levi: Realzeitsysteme zur Prozeßautomatisierung, Hanser 1994
Auer, A.: SPS, Aufbau und Programmierung, Hüthig 1996
Schaaf, B. D.: Automatisierungstechnik, Hanser 1992
Seitz, M.: Speicherprogrammierbare Steuerungen, Fachbuchverlag Leipzig,
2003
Wellenreuther / Zastrow: Automatisieren mit SPS, Vieweg 2001, ISBN 3528-03910-8,
Berger, H.: Automatisierung mit STEP 7 in AWL und SCL, Siemens Hrsg.
Publicis Corporate Publishing ISBN 3-89578-197-5
Braun, W.: Speicherprogrammierbare Steuerungen in der Praxis, Vieweg,
1999
Kaftan, J.: SPS-Grundkurs mit SIMATIC S7, Vogel Buchverlag 1998,
Habermann / Weiß: STEP7-Crashkurs, Selbstverlag
Borucki, L.: Digitaltechnik, Teubner, ISBN 3-519-36415-8
Hertwig, A. / Brück, R.: Entwurf digitaler Systeme, Hanser, ISBN 3-44621406-2
3.4.2
read-
Control Engineering 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Electrical Engineering - Industrial Automation
EATB450 Control Engineering 1
EATB451 Lecture Control Engineering
EATB452 Lab course Control Engineering
2nd year, 4th Semester
Prof. Dr.-Ing. Hermann R. Fehrenbach
Prof. Dr.-Ing. Hermann R. Fehrenbach
German
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Course content
Lecture, 4 CHW
Lab exercises, 2 CHW in groups of 3 students each
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Modules System Theory and Mathematics 1-3
General:
The module is meant to impart the theoretical basics of control technology
with the help of practical exercises carried out in Matlab/Octave and broaden the knowledge students obtained during the laboratory internship. Students acquire the skills to describe, identify and analyze line segments and
learn different methods for the synthesis of control systems.
Interdependencies / differences to other modules:
The module is based on system theory and has been designed as a link to
the Electric Drives module.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students are capable of describing
control loops, simulating their behavior and of selecting and parameterizing
appropriate control systems.
Vocational preparation:
Designing power and drive system controllers belongs to the core competencies of an engineer.
Lecture Control Technology:










Introduction and motivation
Description of signals in time, frequency and image domains
LTI system modeling, including transfer functions, status representation
System analysis with Nyquist and Bode diagrams
Description of control loops, transfer elements
System analysis, algebraic and graphical stability criteria
Standard controllers and their characteristics
Analog and digital realization (direct digital control)
Discontinuous controllers
Controller synthesis: Engineering-based adjustment procedure,
concept in frequency domain, frequency characteristic curve methods, root locus curve methods
Lab course Control Technology:
Experiments:



Assessment methods
and criteria
Instructional media
Frequency response and Bode diagram
Controllers and their settings
TDI motor control, using the example of an idle speed controller
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The skills acquired for using measurement equipment
will be assessed during the laboratory experiments based on colloquia and
written reports for each experiment.



Blackboard
Slides (presentations/Staroffice, PDF)
Simulation scripts for Matlab/Octave

Exercises with solutions
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Download: Slides as PDF file, exercises with solutions
Föllinger O.: Regelungstechnik, Einführung in die Methoden und ihre Anwendung, Hüthig Heidelberg, 1994
Lunze, J.: Regelungstechnik 1, Systemtheoretische Grundlagen, Analyse
und Entwurf einschleifiger Regelungen, Springer, Berlin,Heidelberg,New
York, 2003
Schulz, G.: Reglungstechnik, Grundlagen, Analyse und Entwurf von Regelkreisen, rechnergestützte Methoden, Springer, Berlin, Heidelberg, New
York, 1995
3.4.3
read-
Electrical Machines 1
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
Electrical Engineering - Industrial Automation
EATB460 Electrical Machines 1
2nd year, 4th semester
Prof. Dr.-Ing. Thomas Köller
Prof. Dr.-Ing. Thomas Köller
German
Lecture, 4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 60 hours of self-study
6 CP
Lectures of the first two semesters
General:
This module is meant to teach students a basic knowledge of transformers
and electromechanical energy conversion. Special focus is laid on operating
principles and operating behavior.
Interdependencies / differences to other modules:
This is an introductory course to the subject area of electrical machines.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students will be capable of describing
the operating principles of transformers and direct current machines.
Vocational preparation:
Understanding and describing how a transformer works belongs to the
basic knowledge of an electrical engineer. Transformers are deployed in all
areas of electrical engineering, from energy distribution to voltage converters in electrical devices. This makes a detailed description of transformers
absolutely imperative.
Discussing direct current machines to introduce electrical machines is not
only helpful from a didactic standpoint. A detailed understanding of how
they work is essential for their use in test facilities. To many companies, in
the catchment area of Karlsruhe University of Applied Sciences, which
could later well be prospective employers of our students, a detailed
knowledge of direct current machines is of major importance.

Course content
Assessment methods
and criteria
Instructional media
Recapitulation of basic knowledge and broadening it in the area of
field theory.
 Single-phase transformers
 Rotary current transformers
 Transient operating behavior of transformers
 Operating principle of direct current machines
 Direct current models and operating behavior
Students' theoretical knowledge is evaluated through a written examination
(duration: 90 min.)




Blackboard
Lecture notes
Transparencies
Collection of exercises, including solutions
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
R. Fischer: Elektrische Maschinen, Hanser Verlag
H. Eckhardt: Grundzüge der elektrischen Maschinen, Teubner Studienbücher
3.4.4
read-
Sensors and Actors
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning activities, attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Electrical Engineering - Industrial Automation
EATB470 Sensors and Actors
2nd year, 4th semester
NN
NN
German
Lecture, 4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
Workload
ECTS credits
Prerequisites
Course
objectives/learning outcomes
and competences
Course content
Assessment methods
and criteria
6 CP
Foundation courses
General: This module is meant to impart an understanding of the basics of
sensors and actors in industrial automation. Students are able to efficiently
solve problems.
Sensors and actors; their use in industrial automation
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.)
Recommended optional Student can choose courses from the General Studies’ program
program components
Work placements:
n/a
Recommended reading None
3.4.5
Electrical Facilities
Degree program
Module
Module courses
Electrical Engineering - Industrial Automation
EATB480 Electrical Facilities
EATB481 Electrical Facilities
EATB482 Power Electronics
Year of study
2nd year, 4th semester
Module coordinator
Prof. Dr.-Ing. Alfons Klönne
Lecturers
Prof. Dipl.-Ing. Guntram Schultz
Prof. Dr.-Ing. Alfons Klönne
Language of instruction German
Teaching method / Lecture, 3 CHW
learning activities, at- Lecture, 3 CHW
tendance
Mode of delivery
Face-to-face
Type of course unit
Compulsory module
Level of course unit
First-cycle
Semester when the Winter semester and summer semester
course is delivered
Workload
Contact hours: 90 h, self-study: 150 h
ECTS credits
6 CP
Prerequisites
Basics of Electrical Engineering, Higher Mathematics 1-3, Alternating Current Technology
Course
objec- Electrical Facilities: Basic knowledge of the structure and calculation of electives/learning outcomes trical power supply systems. Basic technologies of the components for elecand competences
trical power generation, transfer and distribution as well as the corresponding safety-related measures. Students simulate entire power supply systems
in the Electrical Networks module.
Vocational preparation: The generating, transferring and distributing of electrical power belong to the core competencies of an electrical engineer.
Power Electronics:
General: This module imparts fundamental theoretical knowledge of modern
power engineering procedures. Power electronics lays the foundation for
resource-friendly conversion of electric power into different voltages and
frequencies.
Interdependencies / differences to other modules:
This module covers procedures of electric power conversion from direct to
indirect quantities and vice versa. It focuses on the efficient conversion of
electric power, i.e. dynamic conversion with little loss of energy. In power
electronics, actuator controls and modulation methods are derived, which
belong to the requirements of electrical drive current control.
Technical / methodical / interdisciplinary competences / key qualifications:
After having completed the module, students will have gained a systematic
overview of power electronics. They will be familiar with actuator controls for
line- and self-commutated converters. Unlike the Electronics module, this
module focuses on the efficient conversion of larger quantities of electric
power. It further covers converter modulation and control procedures, which
are not part of the module Electric Drives.
Vocational preparation: Power electronics is the key to modern electric drive
technology and controlled electric power conversion. Within the framework of
growing automation, power-electronic control elements - converters - are
increasingly gaining in importance in industrial use, particularly in the field of
speed-variable drives. Power electronics is further a prerequisite of energyefficient conversion of electric quantities when it comes to renewable energies.

Course content
Fundamental terms of energy economics, energy consumption, load
diagrams, energy costs
 Structure of electrical power supply
 Switching stations, wires and cables (models, wire impedance,
equivalent circuit diagram, stationary operation)
 Utilization of power plants, energy carriers in public power supply
 Safety (grounding, high and low voltage, operator protection, fire,
explosion)
 Components of power electronics (basics, diode, BJT, MOSFET,
IGBT, GTO, thyristor, switching behavior, thermal management, protective circuits),
 basic functions of power conversion circuits,
 line-commutated power conversion circuits,
 load-commutated converters,
 self-commutated converters,
 DC converters,
 Line perturbation, control procedures for converters with indirect
voltage link and indirect current link,
 pulse duration modulation process, space vector modulation process,
 measures for EMC reduction
Assessment methods Students' theoretical knowledge in each lecture is evaluated through a writand criteria
ten examination (duration: 90 min.)
Instructional media
 Blackboard
 Transparencies
 Collection of exercises, including solutions
 Simulation programs for power electronics
Recommended optional Student can choose courses from the General Studies’ program
program components
Work placements:
n/a
Recommended reading Electrical Facilities:
Ströbele, W., Pfaffenberger, W., Heuterkes, M.: Energiewirtschaft
(3. Auflage)
Führer, A., Heidemann, K., Nerreter, W.: Grundgebiete der Elektrotechnik 2
(8. Auflage)
Knies, W., Schierack, K.: Elektrische Anlagentechnik (5. Auflage)
Flosdorff, R., Hilgarth, G.: Elektrische Energieverteilung (9. Auflage)
Schossig, W.: Netzschutztechnik (2. Auflage)
Power Electronics:
Michel, Manfred: Leistungselektronik, Einführung in Schaltungen und deren
Verhalten, Springer, Berlin, 2003
Anke, Dieter: Leistungselektronik, Oldenbourg, Berlin, 2000
Lappe, R., Conrad, H., Kronberg, M.: Leistungselektronik, Verlag Technik,
Berlin, 1994
Meyer, M.: Leistungselektronik, eine Einführung, Springer, Berlin, 1990
Mohan, N.; Undeland, T.M.; Robbins, W.P.: Power Electronics, Willey, 1989
Specovious, Joachim: Grundkurs Leistungselektronik, Vieweg, Berlin, 2003
3.5
Fifth Semester
3.5.1
Internship
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instrict
Teaching method /
learning activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Course content
Assessment methods
and criteria
Instructional media
Electrical Engineering - Industrial Automation
EATB502 Internship
3rd year, 5th semester
Prof. Guntram Schultz
all professors of the faculty
German
Project activity: internship at a company
Duration 95 days of attendance
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
720 h
24 CP
Successful completion of at least 108 CP
General: The aim of the internship is to offer students the opportunity to put
their knowledge into practice at an early stage of their university studies and
at the same time to learn more about a company's business processes.
Interdependencies / differences to other modules: Application of knowledge
acquired in other modules
Technical / methodical / interdisciplinary competences / key qualifications:
Application of knowledge in real-world situations, Ability to work in a team
Vocational preparation: Working as an intern during their university studies
and the resulting knowledge about business processes gained from real-life
situations gives our students a decisive competitive advantage.
Project activity:
Internship with an industrial company or any other company that takes on
trainees for a period of 95 days of attendance. The students are involved in
the company's current projects in the fields of development, manufacturing
or sales. The projects will focus on issues concerning Electrical Engineering
– Industrial Automation, offering the opportunity to apply the knowledge
acquired at university in real-life situations. They provide students with insight into their future working life.
Students have to find a suitable company or project themselves.
Written report and oral presentation (duration 20 minutes)
n/a
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended reading
n/a
3.5.2
Internship Preparation and Follow-up
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Course content
Assessment methods
and criteria
Instructional media
Electrical Engineering - Industrial Automation
Internship Preparation and Follow-up
EATB501 Preparation of internship
EATB503 Follow up of internship
3rd year, 5th semester
Prof. Guntram Schultz
All professors of the faculty
German
Preparation of project activity: Attendance of technical seminar
Power Engineering,
Follow up of project activity: block seminar at the university, duration: 1
week
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
Presentations, block seminars
6 CP
None
General: As part of this module, students are prepared for their traineeship
and they will give a presentation about their experiences gained in practice.
Interdependencies / differences to other modules: The Power Engineering
seminar will focus on reports/presentations given by industry experts.
Technical / methodical / interdisciplinary competences / key qualifications:
Students will learn how to communicate, to work with and in a team and to
motivate both themselves and others.
Vocational preparation: Practical relevance based on own reports and
presentations
Internship Preparation:
During the week of the seminar, students will attend lectures given by industry representatives at the university.
Internship Follow-up:
As part of a block seminar, students will give a presentation on their project
activity. This allows them to practice how to present a specific topic within a
set period of time. In the following discussions, students will get feedback
on their presentation.
n/a


Transparencies
PowerPoint Presentations
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended reading
n/a
3.6
Sixth Semester
3.6.1
Industrial Automation 2
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance and group
size
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
tives/learning
comes and
tences
objecoutcompe-
Electrical Engineering - Industrial Automation
EATB640 Industrial Automation 2
EATB641 Lecture Industrial Automation
EATB642 Laboratory Industrial Automation
EATB643 Seminar Industrial Automation
3rd year, 6th semester
Prof. Dr.-Ing. Jürgen Gentner
Prof. Dr.-Ing. Jürgen Gentner
German
Lecture, 4 CHW
Lab exercises, 2 CHW in groups of 2 students each
Seminar, 2 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
10 CP
Knowledge of courses: Control Technology, Control Engineering, Measurement Technology, Microcontroller Systems.
General:
The goal of this module is to familiarize students with the basic structures of
process control technology and the methods of automation technology.
Interdependencies / differences to other modules:
In this module, the focus is on the modeling of technical processes in graphical and mathematical form. The mapping on actual automation computers
and the design of the corresponding programs, by contrast, is the focus of
the "Control technology" module. For modeling, there is reliance on terms
from control technology, however controller design, stability criteria, etc.,
are reserved for the "Control technology" module.
Technical / methodical / interdisciplinary competences / key qualifications:
Students are put in a position to determine from any technological task, in
the discussion with appropriate specialists, the automation-technical aspects, to find solution structures in hardware and software, and - with the
criteria communicated in this module - to be able to select systems.
Vocational preparation:
The automation of technical processes is one of the key tasks of an engineer in the field of power engineering and industrial automation.
Course content
Lecture Industrial Automation:


Process and process types
Process coupling, transformation principles, coding







Scaling, standardization, monitoring of process variables
Fieldbus systems, requirements and realization structures
Basic knowledge of modeling
Graphic models, mathematical models, state-oriented models (Petri
networks)
Reliability, security and availability
Process operation and observation
Planning, organization and flow of automation-technical systems
Laboratory Industrial Automation:
Experiments:
 Modeling of technical processes
 Design and realization of process control solutions with integrated
control/regulation/operating and monitoring functions
 Communication via various fieldbus systems
Seminar Industrial Automation:
Students attend lectures by representatives from industry and professionals
at the university.
Assessment methods
and criteria
Students' theoretical knowledge is evaluated through a written examination
(duration: 120 min.) The practical skills will be assessed during the laboratory experiments based on colloquia and written reports for each experiment.





Instructional media
Blackboard
Lecture notes (diagrams etc.)
Projector presentation of all images included in the lecture notes
Solutions to selected exercises
Laboratory tutorials
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Polke, M.: Prozeß-Leittechnik, Oldenbourg-Verlag, 1994
Jacobson, E.: Einführung in die Prozeßdatenverarbeitung, Hanser, 1996
Jakoby, W.: Automatisierungstechnik - Algorithmen und Programme, Springer1996
Olsson/Piani: Steuern, Regeln, Automatisieren, Hanser, 1993
Bergmann, J.: Automatisierungs- und Prozeßleittechnik, Fachbuchverlag
Leipzig, 1999
Lauber, R., Göhner, P.: Prozeßautomatisierung Band 1+2, Springer 1999
Strohrmann, G. Automatisierungstechnik 1, Oldenbourg, 1998
Schuler, H.: Prozeßführung, Oldenbourg, 1999
Felleisen, M.: Prozeßleittechnik für die Vefahrensindustrie, Oldenbourg,
2001
Langmann, R.: Taschenbuch der Automatisierung, Fachbuchverlag Leipzig,
2004
Charwat, H.J.: Lexikon der Mensch-Maschine-Kommunikation, Oldenbourg,
1994
Schnell, G.: Bussysteme in der Automatisierungs- und Prozesstechnik,
Vieweg, 2000
Reißenweber, B.: Feldbussysteme, Oldenbourg 1998Scherff, B., Haese, E.,
Wenzek, H.R.: Feldbussysteme in der Praxis, Springer 1999
3.6.2
read-
Process Automation
Degree program
Electrical Engineering - Industrial Automation
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning
outcomes and competences
EATB660 Process Automation
3rd year, 6th semester
Prof. Dr.-Ing. Urban Brunner
Prof. Dr.-Ing. Urban Brunner
German
Lecture and exercises, 4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 contact hours, 90 hours of self-study
6 CP
Module Control Engineering






Course content
Understanding the significance of control technology for the [communication] engineer
Knowledge of the most important (classic) controller design methods
Ability to assess the controllability of a process to be regulated and
solving simple control problems
Ability to analyze multi-loop control systems
User knowledge of MATLAB/Simulink
Promotion of system competence (especially the ability to abstract/approximate technical processes)
Chapter 1: Introductory overview
 Typical tasks and applications of control technology
 Basic terms
 Linear operators, superposition principle
 Conversion of linear block diagrams
Chapter 2: LTI systems and typical control paths
 Depiction and description of systems
 System behavior in the time domain
 Special state space depictions, normal forms
 Qualitative description of control paths
 Controllability of paths
Chapter 3: Analysis of control circuits
 General stability, stability of linear control circuits
 Nyquist criteria
 Analysis in the frequency range, circuit amplification (loop gain)
 Compensation of steady state errors
Chapter 4: Design of (classic) controllers
 Design in the frequency range, servo dilemma (loop gain shaping)
 Design of PID controllers, rules of thumb
 Root locus techniques
 Design via root locus
Chapter 5: Industrial controllers
 Windup phenomenon and countermeasures
 Servo control and feedforward control
 Cascade control
 Use of two-point controllers
Assessment methods
and criteria
Instructional media
Students' theoretical knowledge is evaluated through a written examination
(duration: 90 min.).
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing
Download (Autor: Brunner):
 Lecture notes Regelungstechnik (Teil_1 und Teil_2)
 Collection of exercises
 Handout
 Repetitorium Classical Control Using MATLAB
read-





Blackboard
Transparencies (Powerpoint, pdf)
Programs MATLAB and Simulink
Solutions to selected exercises
Previous examinations
Literature:
 G. Schulz: Regelungstechnik, Springer, 1995.
 O. Föllinger: Regelungstechnik:, Einführung in die Methoden und ihre Anwendungen, Hüthig, Heidelberg, 1992.
 M. Reuter und S. Zacher: Regelungstechnik für Ingenieure, Vieweg,
11. Auflage, 2004.
 A. Braun: Grundlagen der Regelungstechnik: Kontinuierliche und
diskrete Systeme, Fachbuchverlag Leipzig, 2005.
 J. Hoffmann und U. Brunner: MATLAB & Tools für die Simulation
dynamischer Systeme, Addison-Wesley, München, 2002.
 Mann und Schiffelgen: Einführung in die Regelungstechnik, Carl
Hanser, 1989, (Inhalt sind nicht nur Methoden, sondern auch die
Gerätetechnik).
3.6.3
Social Skills
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language of instruction
Teaching method /
learning
activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
Electrical Engineering - Industrial Automation
EATB670 Social Skills
EATB671 Personnel Management
EATB672 Business Studies
3rd year, 6th semester
Mr Edmund Zirra
Lecturers and Assistant Lecturers of the General Studies’ program
German
Lecture, 2 CHW
Lecture, 2 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
60 contact hours, 120 hours of self-study
ECTS credits
Prerequisites
Course
tives/learning
comes and
tences
objecoutcompe-
6 CP
None
General: Engineers act not only as developers or in production at a company, they are also responsible for the products they create, they bear personnel responsibility and must also be able to assess the legal aspects of
their actions. This module prepares the engineers-to-be for non-technical
aspects of their professional career.
Interdependencies / differences to other modules:
The object is interactive personnel management, that is, the direct influencing of person on person. By contrast, content from structural personnel
management will be formulated in industrial psychology
Technical / methodical / interdisciplinary competences / key qualifications:
The ability to be able to conduct a year-end analysis using suitable key figures puts the student in a position to be able to use important parameters of
corporate management for controlling.
Vocational preparation:
Today, engineers are increasingly confronted with tasks that reach beyond
their profession understood narrowly. This module helps students prepare
themselves.
Course content
Assessment methods
and criteria
Instructional media
Personnel Management:
 Definition of terms, models and theories of management
 Individual management: significant human characteristics, typologies; individual-related management behavior
 Management tasks and how to master them: Setting goals; planning
tasks; decision-making/delegation; control, recognition, criticism; information and communication; motivation.
 The group: types of groups and how they arise; advantages and
disadvantages of group work; successful vs. unsuccessful groups
Business Studies:
The subject matter of business studies: economic principles, costeffectiveness, productivity and return, operation and companies, companies
in Germany, the mechanical engineering sector, value creation and production factors, the target system of the enterprise. Management: Management
as institution, management as function, management capabilities
The legal form of the enterprise: commercial properties, commercial register, company, independent activity, business, typology of the legal forms:
from individual company to corporation, decision-making criteria for the selection of the legal form.
Operational accounting: Overview of bookkeeping, cost accounting, doubleentry bookkeeping, account plans, principles of proper bookkeeping.
The annual report: Principles and structure of the annual report, balance
sheet, gain and loss calculation, appendix, management report. Balance
sheet analysis: Balance sheet structure figures, financing, cash flow, return
figures, key figures of German industry as benchmarks. The assessment in
annual reports especially of the write-off of fixed assets.
Students' theoretical knowledge of each lecture is evaluated through a written examination (duration: 90 min.).





Lecture notes
Transparencies
Case studies
Questionnaires, tests
Educational films
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended
ing


read-







3.6.4
Schuler, H. (Hrsg.): Organisationspsychologie. Huber, Bern, 1998.
Stelzer-Rothe (Hrsg.): Personalmanagement für den Mittelstand.
Sau-er, Heidelberg, 2002.
Weinert, A. B.: Organisations- und Personalpsychologie. Beltz,
Wein-heim, 5. Auflage, 2004.
Winterhoff-Spurk, P.: Organisationspsychologie. Kohlhammer,
Stuttgart, 2002.
Mayer, Thomas: Betriebswirtschaftslehre für Ingenieure und Informatiker, Karlsruhe, 2004 (Studienheft)
Thommen, Jean-Paul/Achleitner, Ann-Kristin, Allgemeine Betriebswirtschaftslehre – umfassende Einführung aus managementorientierter Sicht, Gabler Verlag, 4. Auflage, Wiesbaden 2003
Thommen, Jean-Paul/Achleitner, Ann-Kristin, Allgemeine Betriebswirtschaftslehre – Arbeitsbuch, Gabler Verlag, 4. Auflage, Wiesbaden 2004
Voss, Rödiger: BWL kompakt – Grundwissen Betriebswirtschaftslehre, Merkur Verlag Rinteln, Reihe „das Kompendium“, Rinteln
2004
Wöhe, Günter: Einführung in die allgemeine Betriebswirtschaftslehre, 20. Auflg., München 2000
Elective module
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturer
Language of instruction
Teaching method /
learning activities, attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course
objectives/learning outcomes
and competences
Course content
Electrical Engineering - Industrial Automation
EATB680 Elective
3rd year, 6th semester
Prof. Dr.-Ing. Jürgen Gentner
All lecturers of the Faculty
German
Lecture, 8 CHW
Face-to-face
Compulsory
First-cycle
Winter semester and summer semester
Depending on course chosen
8 CP
Successful completion of semester 1-4 modules
General: Students select their electives from the courses of the relevant
degree program, other courses of the Faculty, courses offered by other faculties of HsKA, or by other universities. They are then approved by the Program Director. Students set their own focus by selecting their preferred elective.
Depending on course chosen
Assessment methods Depending on course chosen
and criteria
Instructional media
Depending on course chosen
Recommended optional n/a
program components
Work placements:
n/a
Recommended reading Depending on course chosen
3.7
Seventh Semester
3.7.1
Industrial Automation 3
Degree program
Module
Module courses
Electrical Engineering - Industrial Automation
EATB730 Industrial Automation 3
EATB731 Process Control Engineering
EATB732 Image Processing
Year of study
4th year, 7th semester
Module coordinator
Prof. Dr. Franz Quint
Lecturer
Prof. Dr. Franz Quint
Language of instruction German
Teaching method, at- Lecture, 2 CHW (block)
tendance
Lecture, 2 CHW (block)
Mode of delivery
Face-to-face
Type of course unit
Compulsory module
Level of course unit
First-cycle
Semester when the Winter semester and summer semester
course is delivered
ECTS credits
8 CP
Prerequisites
Industrial Automation 1, 2
Course
objec- Students can solve problems in control technology and methods of automatives/learning outcomes tion technology independently.
and competences
Course content
 Image acquisition
 Color
 Point transformations
 Geometric transformations
 Image transformations
 Compression processes,
 Filtering,
 Morphology,
 Segmentation.
The students' theoretical knowledge will be assessed in a written exam (duration 90 min.)
Recommended optional Student can choose courses from the General Studies’ program
program components
Work placements:
n/a
Recommended reading None
3.7.2
Academic Research and Writing
Degree program
Module
Module courses
Year of study
Module coordinator
Electrical Engineering - Industrial Automation
EATB740 Academic Research and Writing
4th year, 7th semester
Prof. Dr.-Ing. Jürgen Gentner
Lecturers
Language
Teaching method /
learning activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Course content
Assessment methods
and criteria
all professors of the faculty
German
Project activity during the semester. Task performed at the university
4 CHW
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
240 hours
7 CP
Knowledge of the modules for semester 1-6
General: Preparation of a particular topic, usually within a group of two or
three students.
Interdependencies / differences to other modules: Unlike a bachelor’s thesis, the project activity is performed within a group of students supervised
by a professor.
Technical / methodical / interdisciplinary competences / key qualifications:
Systematic and targeted preparation and development of a given task.
Vocational preparation: Guidance towards the ability to solve a given task
independently as required the professional life.
Topic chosen from a degree program area, task performed at the university
Written summary/report and presentation (duration 20 min.)
Recommended
optional program components
Student can choose courses from the General Studies’ program
Work placements:
n/a
Recommended reading
Hering, L., Hering, H.: Technische Berichte, Vieweg, 4. Aufl., 2003
3.7.3
Bachelor’s Thesis
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language
Teaching method /
learning activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Course content
Assessment methods
and criteria
Instructional media
Electrical Engineering - Industrial Automation
EATB760 Bachelor’s Thesis
4th year, 7th semester
Prof. Dr.-Ing. Jürgen Gentner
all professors of the faculty
German (English upon request)
Project activity over a period of four months.
Individual work.
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
12 CP
180 CP
General: Solving a given task independently within a given period of time
Interdependencies / differences to other modules: In contrast to the traineeship during the traineeship semester, the Bachelor’s thesis must be completed independently without using any sources or aids that are not permitted
Vocational preparation: Proof of ability to carry out a task by applying academic methods
Topic chosen from the area of Electrical Engineering – Industrial Automation. Task preferably carried out in the industry.
Written thesis
n/a
Recommended
optional program components
n/a
Work placements:
n/a
Recommended reading
Hering, L., Hering, H.: Technische Berichte, Vieweg, 4. Aufl., 2003
3.7.4
Final colloquium
Degree program
Module
Module courses
Year of study
Module coordinator
Lecturers
Language
Teaching method /
learning activities,
attendance
Mode of delivery
Type of course unit
Level of course unit
Semester when the
course is delivered
Workload
ECTS credits
Prerequisites
Course objectives/learning outcomes and competences
Course content
Assessment methods
and criteria
Instructional media
Electrical Engineering - Industrial Automation
EATB750 Final Colloquium
4th year, 7th semester
Prof. Dr.-Ing. Jürgen Gentner
all professors of the faculty
German
Self-study, lecture content revision for the degree program
Face-to-face
Compulsory module
First-cycle
Winter semester and summer semester
90 h
3 CP
180 CP
General:
Knowledge of the basic principles and most important facts relating to the
lecture content of the degree program Electrical Engineering – Industrial
Automation
n/a
Oral examination (duration 20 min.) followed by a discussion (10 min.)
n/a
Recommended
optional program components
n/a
Work placements:
n/a
Recommended reading
n/a