Final Modulhandbuch VGU Entwurf Aktuell

Module Handbook Mechatronics and Sensor Systems Technology (M. Sc.)

MSST Mechatronics and Sensor Systems Technology

www.vgu.edu.vn

VIETNAMESE-GERMAN UNIVERSITY

Ho Chi Minh City, Vietnam

Module Handbook

Master of Science Degree Programme in

Mechatronics and Sensor Systems Technology

(MSST)

status November 2012



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Overview of Modules

Nr. Module Name Lectures and Labs CPs Term Exam Pg 11 Sensors1 Physical Chemistry 3 1

PL

Fundamentals of Physical Sensors 3 SL 12 Sensor Electronics Analog Electronics Lab 3 PL

Digital Electronics Lab 3 SL 13 Software Engineering C++Programming 3 PL

Matlab & Simulink 3 SL 14 Sensor Manufacturing Advanced Manufacturing Technology 3 PL

Technology of Sensors 3 SL 15 Dynamic Systems Control Control Theory 3 PL

Modeling, Simulation, Validation 3 SL 21 Sensors 2 Advanced Physical Sensors 3 2 PL

Environmental Process Technology 3 SL 22 Embedded Systems Microcontroller 3 PL

Digital Signal Processing 3 SL 23 Digital Control Digital Control Systems 3 PL

Control Lab 3 SL 24

Automation Automation Systems 3 PL Automation Lab 3 SL

25 Management Business & Management 3 PL Project Management 3 SL

31 Sensor Networks Bus Systems 3 3 PL Automotive Sensors, Safety & Reliability 3 SL

32 Systems Engineering Modern Intelligent Controller Technology 3 PL System Identification 3 SL

33 Simulation Numerical Simulation 3 PL Application of FEM Technology 3 SL

34 Communication Communication & Visualization 3 PL Guidance of Scientific Work 3 SL

35 Focal Subjects Industry Project 6 PL 41 Thesis 27 4 PL 42 Final Examination 3 PL

Red signed literature is available in the collection of handbooks of the MSST course



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Module Name Sensors 1 Module Number 11 Lectures and Laboratories 1. Physical Chemistry

2. Fundamentals of Physical Sensors Semester 1st Semester Period Every year, winter term Responsible Prof. Dr. Hoinkis, Jan Lecturer 1. Prof. Dr. Hoinkis, Jan

2. Prof. Dr. Langen, Christian Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students

1. Lecture/2 SWS/30 2. Lecture/2 SWS/30

Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 1. 2 ECTS Basic Chemistry at university level

4 ECTS Basic Physics at university level 2. None

Recommended Requirements: none Objectives 1. The students know and understand the interaction between

classical chemistry and physics. They get knowledge about simple sensors for chemical parameters and develop a sense for energy and dynamic effects in chemical reactions. They know about the main characteristics of electrochemistry. 2. The student knows the most important sensor principles for physical parameters and can critically evaluate applica-tions in different environments. They know the special re-quirements of signal processing, understand the theoretical models and are able to combine sensors to evaluate not di-rectly measurable parameters.

Summary/Outline 1. Chemical bonds and intermolecular forces, property of gases, molecular spectroscopy, Beer's law, thermodynamics, chemical equilibria, Nernst's law, enthalpy, entropy, Gibbs free energy, Law of Mass Action, simple galvanic cells, elec-trode - electrolyte interface, fluid electrolytes, dissociation of salt, solubility product, ion product, pH-value, ionic conduc-tivity, ionic mobility, ion-selective electrodes, phase dia-grams 2. Characteristic of modern sensors, technologies for sensors, resistive sensors, thermoelectric sensors, capacitive sensors, piezoelectric sensors, operational amplifiers primary.

Examination 1. Written examination (90 min) with marks 2. Oral or written examination (90 min) passed or failed

Media Whiteboard, power-point slides Literature 1. /1/ Hamann, Carl H. / Hamnett, Andrew / Vielstich, Wolf

- Electrochemistry - Weinheim: Wiley 1998

/2/ Atkins, P.W., De Paula, J., Physical Chemistry, Oxford University Press, 2010

/3/ Atkins, P.W., Jones, L., Chemical Principles, Palgrave



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Macmillan, 2010

/4/ Harris, D., Quantitative Chemical Analysis, Freemann, New York, 2003 2. /1/ Doebelin, E. O.: Measurement Systems - Application and Design, McGraw Hill 4th ed. 1990. /2/ Figliola, R.S., Beasley, D.E.: Theory and Design for Me-chanical Measurements, J. Wiley & Sons 2nd ed. 1995. /3/ Fraden, J.: Handbook of Modern Sensors, AIP Press 2nd ed. 1997. /4/ Göpel, W.; Hesse, J. Zemel, J.N. (eds): Sensors. A Com-prehensive Survey, Verlag Chemie 1994. /5/ Long, G.: Real Applications of Electronic Sensors, Mac-Millan Education, 1989. /6/ Ohba, R. (ed): Intelligent Sensor Technology, J. Wiley & Sons, 1992. /7/ Pallas-Areny, R.; Webster, J.G.: Sensors and Signal Con-ditioning, J. Wiley & Sons 2nd ed., 2001. /8/ Petriu, E.M.: Instrumentation and Measurement, Tech-nology and Applications, IEEE Technology Update Series, 1997. /9/ Ristic, L.: Sensor Technologies and Devices, Artech House, Inc., 1994. /10/ Soloman, S.: Sensors Handbook, McGraw Hill, 1998 /11/ Taylor, H. R.; Taylor, J. R.: Data Acquisition for Sensor Systems, Chapman & Hall, 1997. /12/ Tzou, H.S.; Fukuda, T. (eds.): Precision Sensors, Actua-tors and Systems, Kluwer Academic Publishers, 1992. /13/ University of Wisconsin: The Measurement , Instrumen-tation and Sensors Handbook, University of Wisconsin, 1999.



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Module Name Sensor Electronics Module Number 12 Lectures and Laboratories 1. Analog Electronics Lab

2. Digital Electronics Lab Semester 1st Semester Period Every year, winter term Responsible Prof. Dr. Herwig, Ralf Lecturer 1. Prof. Dr. Herwig, Ralf

2. Prof. Dr. Herwig, Ralf Language English Part of Curriculum Mechatronics and Sensor Systems Technology (M. Sc.) Method/SWS/No. of students

1. Lecture and Laboratory/2 SWS/30 2. Lecture and Laboratory/2 SWS/30

Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 4 ECTS Electrical Engineering at university level Recommended Requirements: none Objectives 1. The student is able to understand electronic circuits

and to work with operational amplifiers. 2. The students can convert numbers and can use logic gates. They know the principles of A/D and D/A conversion and understand the basic elements and functions of a microcomputer.

Summary/Outline 1. Experiments with resistors, capacitors, inductors, net-works, bridge circuits, operational amplifiers (OP), OP prin-cipal circuits, diode and transistor, rectifier circuits, transis-tor principal circuits. 2. Digital numbers, logic gates, Boolean expressions, combinatory logic, sequential logic, analog / digital and digital / analog converters, programming of microcomputers.

Examination 1. Written examination (90 min) with marks 2. Laboratory passed or failed

Media Evaluation boards and computer measurement interfaces. Booklet with description of the experiments and theory. Computer based tests of the preparation for the experiments.

Literature /1/ Experiments with Operational Amplifiers - Online E-book /2/ Kleitz, William - Digital and microprocessor fundamentals - London: Prentice Hall Basic Experiments in Digital technology - Online E-book /3/ Boylestad, R. L., Essentials of Circuit Analysis, Pearson Education International, 2004 /4/ Hambley, A. R., Electrical Engineering, Principles and Application, Pearson Education International, 2002



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Module Name Software Engineering Module Number 13 Lectures and Laboratories 1. C++Programming

2. Matlab & Simulink Semester 1st Semester Period Every year, winter term Responsible Prof. Dr. Dorschner, Hans-Werner Lecturer 1. Prof. Dr. Dorschner, Hans-Werner

2. Prof. Dr. Dorschner, Hans-Werner Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites none Recommended Requirements: Basic programming knowledge Objectives Learn structuring of technical and mathematical problems

and develop algorithms for these problems, Learn the basics in MATALB, learn the basics in C++-programming included OOP (classes, inheritance etc.)

Summary/Outline C++, MATLAB, algebraic systems, software engineering Examination 1. Written examination (90 min) with marks

2. Oral or written examination (90 min) passed or failed Media Lecture notes, eBook’s delivered by the lecturer Literature /1/ Diverse references included in lecture notes, MathWorks

documentation on MATLAB, Web tutorial C++ /2/ Hahn, B. D., Valentine, D. T., Essential Matlab for Engi-neers and Scientists, Elsevier Ltd., 2010 /3/ Yevick, D., A First Course in Computional Physics and Object-Oriented Programming with C++, Cambridge Uni-versity, 2006



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Module Name Sensor Manufacturing Module Number 14 Lectures and Laboratories 1. Advanced Manufacturing Technology

2. Technology of Sensors Semester 1st Semester Period Every year, winter term Responsible Prof. Langen, Christian Lecturer 1. Prof. Dr. Giesecke, Peter

2. Dr. Fribourg-Blanc, Eric Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites Basic background of mechanics: Statics (calculation of forc-

es and moments), stress and strain calculation for rods and bending beams, kinematics (distance, velocity and accelera-tion, dynamics (Newton's Law, vibrations, natural frequen-cy) Basis background of electrics and electronics: Kirchhoff's Laws, resistors, capacities and inductivities, operation ampli-fier, A/D converters. 11.1

Recommended Requirements: General knowledge in physics (mainly mechanics, electron-ics and optics) and chemistry. All useful physical principles are reintroduced in the course.

Objectives 1. The course is based on mechatronic philosophy, regarding mechanic, electronic and informatics as a whole. After tak-ing part of the course the student should be able to analyse measurement problems regarding smart sensor applications, modeling of the corresponding block diagram, design the required open and closed loop systems, select the best suited smart sensors for a specified problem, regarding range, accu-racy, dynamic behavior, environment requirements etc. and to perform all necessary calculations regarding the sensor and actuator implementation and the analog and digital sig-nal processing required 2 . Acquire context knowledge: general overview of the field of sensors, its growing importance and the constraints faced when developing new sensors. Acquire understanding and basic concepts on technologies related to microsensor fabrication and general technological progress they bring forward in the field of sensors.

Summary/Outline 1. Basics: Definitions, measuring chain, sensitivity, resolu-



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tion etc. Outlook to possible smart sensor applications: automatic cor-rection of environmental impacts, automatic corrections of changes of sensitivity, control of processes only with the smart sensor, prediction of failure etc. and description of the problem by a block diagram. Layout calculations for: Active sensors (piezosensor, electrodynamic sensors, fotodiods and thermocouples. Pas-sive sensors: resistors (Poti, PTC, NTC, Pt 100, LDR, strain gauges), capacity sensors, inductivity sensors Analog data processing: Operation amplifier, amplifying, adding, multiplying, division, integration and derivation. Digital data processing: Data acquisition board (PCMCIA-card), MUX with SE and DE inputs, PGA, Antialias filter, S&H, AD-converter and DA-converter. Programming (deriv-ing of smart sensor formulas, visual programming with DasyLab and Labview. Outlook for the possibility after the study found a university supported engineering office for the development, manufac-turing and distribution of smart sensor systems, with special emphasis to the direct application of strain gauge sensors. 2. Application areas of sensors, main types of sensors, microfabricated sensors, fundamental processes of fabrica-tion and examples of microsensors, packaging and integra-tion in the real world, economics of microsensors.

Examination 1. Written examination (90 min) with marks 2. Written or oral Examination (90 min) passed or failed

Media Whiteboard, power-point slides Literature /1/ Soloman, S., Sensors and Control Systems in Manufac-

turing, Mc Graw Hill Company , 2009 /2/ Fraden, J., Handbook of Modern Sensors, Springer , 2010 /3/ Wilson, J., Sensors Technology Handbook, 2005 /4/ Webster, J., Measurement, Instrumentation and Sensors Handbook, IEEE Press, 1999 /5/ Soloman, S., Sensors Handbook, Mc Graw Hill Company 2010



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Module Name Dynamic Systems Control Module Number 15 Lectures and Laboratories 1. Control Theory

2. Modeling, Simulation, Validation Semester 1st Semester Period Every year, winter term Responsible Prof. Dr. Scherf, Helmut Lecturer 1. Assoc. Prof. Dr. Tu Diep Cong Thanh

2. Prof. Scherf, Helmut Language English Part of Curriculum Mechatronics and Sensor Systems Technology (M. Sc.) Method/SWS/No. of students

1. Lecture/2 SWS/30 2. Lecture with demonstration experiments and Matlab & Simulink simulation/2 SWS/30

Workload Contact time 88h, homework 92h credit Points (ECTS) 6 Prerequisites 6 ECTS Basic Mathematics at university level,

4 ECTS Electrical Engineering at university level.

Recommended Requirements: Knowledge in numerical simulation techniques

Objectives 1. The student can use integral transformations for the anal-ysis of dynamic systems, can analyze standard control loops, understands the goals in control engineering and how to tune control parameters. 2. The student should know the basic techniques of modeling of dynamic systems how to determine the system parameters and how to simulate a dynamic system with Matlab & Si-mulink.

Summary/Outline 1. Modeling, linearization, Laplace-transformation, evalua-tion of the transfer function and the frequency characteristic, stability and stability criteria, control loop evaluation, design of control loops, analog controller, root locus analysis and frequency response. 2. Introduction to modeling of dynamic systems, solving dif-ferential equations with Matlab & Simulink. Modeling of an electromechanical system (DC motor), a flu-id system (water tank), a thermodynamic system (heater) and an electric system (relay, eddy-current brake)...

Examination Written examination (90 min) with mark Oral or written examination (90 min) passed or failed

Media Literature /1/ Ogata, Katsuhiko – Modern Control Engineering - Pren-

tice Hall International 5th Revised edition 2009 /2/ Nise, Norman S. - Control systems engineering - New York: Wiley 3rd Ed. 2000 /3/ Frederik, Dean / Chow, Joe H. - Feedback control prob-lems using Matlab - Pacific Grove: Brooks/Cole 2000 /4/ Ogata, Katsuhiko, System Dynamics, Pearson Education International, 2004



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Module Name Sensors 2 Module Number 21 Lectures and Laboratories 1. Advanced Physical Sensors

2. Environmental Process Technology Semester 2nd Semester Period Every year, summer term Responsible Prof. Dr. Langen, Christian Lecturer 1. Prof. Dr. Langen, Christian

2. Prof. Dr. Hoinkis, Jan Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 1. Module11.2

2. 2 ECTS Basic chemistry at university level 4 ECTS Basic physical chemistry at university level

Recommended Requirements: Module 11 Objectives 1. The students know the most important sensor principles

for physical parameters and can critically evaluate applica-tion in different environments; they know the special re-quirements of signal processing, understand the theoretical models and are able to combine sensors to evaluate not di-rectly measurable parameters. 2. The students know and understand basic environmental engineering in the field of water and waste air treatment. They get basic knowledge about pollution sources and im-portant chemical parameters as well as knowledge of sensor controlled treatment processes. They develop a sense for sensor application in environmental engineering.

Summary/Outline 1. Pyroelectric sensors, galvanomagnetic sensors, inductive sensors, eddy-current sensors, magnetization sensors, super conducting quantum interference devices (SQUIDs) 2. Basics of toxicology, pollution sources, parameters for water and air quality, municipal and industrial wastewater treatment processes, membrane technology, sensors in water treatment, exhaust gas treatment processes, sensors in ex-haust gas treatment.

Examination 1. Written Examination (90 min) with marks 2. Written or oral Examination (90 min) passed or failed

Media Power Point Slides, Blackboard, Training Exercises Literature See Module 11.1 and literature list given by the lecturers



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Module Name Embedded Systems Module Number 22 Lectures and Laboratories 1. Microcontroller

2. Digital Signal Processing Semester 2nd Semester Period Every year, summer term Responsible Prof. Dr. Herwig, Ralf Lecturer 1. Prof. Dr. Herwig, Ralf

2. Prof. Dr. Kern, Ansgar Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students

1. Lecture with Laboratory/2 SWS/30 2. Lecture/2 SWS/30

Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 12.2 Recommended Requirements: 1. none

2. Knowlege of Laplace- Fourier-transformation, C-language, basic analogue filter circuits

Objectives The students know the substantial methods of digital signal processing. They know how to realize such algorithms to-gether with sequential controls based on multitasking in a microcomputer and know the essential structures and possi-bilities of a microcomputer. They can judge if a micro-computer is applicable for a given problem and are able to use behavioural description programming. They are knowledgeable about discrete transformation algo-rithms and are able to implement them on microprocessor based platforms. They can assess the limitations and applica-bility of DFT based algorithms with regards to real world signals.

Summary/Outline 1. The nature of processes and signals in the real world. Im-plications for the structure of a microcomputer. Von Neu-mann and Harvard architecture. RISC and CISC instruction sets. Processing of real-time signals. Architecture of Digital Signal Processors. Design of programs at register level. Structured programming. The finite state machine. Task ori-ented programming. Software security. 2. Conversion of analogue signals, transition form the dis-crete time domain into the discrete frequency domain, distor-tion of frequency spectra, convolution and correlation of sig-nals, containment of DFT leakage, window functions, FIR and IIR filter design, implementation of DFT and IDFT algo-rithms




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Media Distributed learning environment with online information and tutorials together with primary data. Integrated micro-computer application laboratory

Literature 1. none 2. /1/ Richard G. Lyons, Understanding Digital Signal Pro-cessing, Pearson Education Inc. 2004 /2/ Proakis, J.G.; Manolakis, D. G., Digital Signal Pro-cessing, Principles, Algorithms and Applications, Pearson International Edition, 2007



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Module Name Digital Control Module Number 23 Lectures and Laboratories 1. Digital Control Systems

2. Control Lab Semester 2nd Semester Period Every year, summer term Responsible Prof. Dr. Keller, Frieder Lecturer 1. Prof. Dr. Keller, Frieder

2. Assoc. Prof. Dr. Tu Diep Cong Thanh Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students

1. Lecture/2 SWS/30 2. Laboratory work/2 SWS/30

Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 15.1 Recommended Requirements: Basic knowledge mathematics, in physics, mechanical and

electrical engineering, in control theory and in microcontrol-ler applications

Objectives 1. The students know the substantial algorithms of digital signal processing and are able to design a digital control. They know how to realize such algorithms together with se-quential controls based on multitasking in a microcomputer and know the essential structures and possibilities of a mi-crocomputer. 2. After having successfully completed the course, the stu-dents should be able - to measure dynamic system parameters, to simulate dy-namic systems with the measured parameters with MAT-LAB/Simulink, to design a PID-controller, a state space con-troller and an observer, to start up the control loop and to op-timise the controller parameters.

Summary/Outline 1. Introduction to discrete-time controls systems, analog con-trol in contrast to digital control, z-transform theory, PID-control algorithms, stability of discrete-time control systems, deadbeat control, modeling in state-space, design of state controllers 2. DC-motor: measurement of the system parameters - Measurement of the step response and frequency response- - Simulation and measurement of the dynamic behaviour - Controller design (pole compensation) - Simulation of the closed control loop with Simulink - Installation of the speed control - Design and simulation of a position control



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- Experimental Controller design - Installation of the position controller - Water tank: measuring of the step response, controller de-sign, start-up of the control loop on universal programmable compact controller (Jumo) - Heater associated with pulse width modulation, parametric system identification with fminsearch-function, controller design, start-up of the control loop Simulation of a high order dynamic system in state space description, observer design, state space controller design (pole placement), simulation of closed loop with MAT-LAB/Simulink

Examination 1. Written Examination (90 min) with marks 2. Laboratory work passed or failed

Media Practical exercises in the laboratory Literature 1. Ogata, Katsuhiko – Discrete-Time Control Systems -

Prentice Hall International 1995 2. Nise, Norman S. - Control systems engineering - New York: Wiley 3rd Ed. 2000



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Module Name Automation Module Number 24 Lectures and Laboratories 1. Automation Systems

2. Automation Lab Semester 2nd Semester Period Every year, summer term Responsible Prof. Dr. Dorschner, Hans-Werner Lecturer 1. Prof. Dr. Dorschner, Hans-Werner

2. Prof. Dr. Dorschner, Hans-Werner Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 6 ECTS Basic Mathematics at university level,

4 ECTS Electrical Engineering at university level. Recommended Requirements: 13.1, 15.2 - Knowledge in numerical simulation techniques

and programming (C++) Objectives The student

-can understand automation problems, analyze complex sys-tem and derive necessary control requirements, - can deduct from Boolean equations the minimum control I/O-dependencies, - is able to configure DCS systems (based on Siemens SIMATIC S7-300 systems), - has learned 4 control languages for DCS (STL, FBD, SCL, GraphSet), - is able to implement control projects on DCS and debug the SW, - understands bus based systems, - knows Profibus, Profinet, CAN-bus systems, - can derive from a given process a control program, - can debug the control program and implement it on a DCS HW.

Summary/Outline DCS control systems, SIMATIC S7-300 Systems, control languages, bus systems, bus standards, Boolean logic and mathematics

Examination Written examination (90 min) with marks, Lab exercises with oral tests passed or failed

Media Lecture notes, lab description and tasks Literature /1/ Script from lecturer,

/2/ SIMATIC system documentation, /3/ K. Ogata, Discrete Control Systems, Pearson Education ISBN 978-81-203-2760-3,



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/4/ Ogata, Katsuhiko – Modern Control Engineering - Pren-tice Hall International 5th Revised edition 2009, /5/ Nise, Norman S. - Control systems engineering - New York: Wiley 3rd Ed. 2000 /6/ Frederik, Dean / Chow, Joe H. - Feedback control prob-lems using Matlab - Pacific Grove: Brooks/Cole 2000;



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Module Name Management Module Number 25 Lectures and Laboratories 1. Business & Management

2. Project Management Semester 1. 2nd Semester, 2. 3rd Semester Period Every year, 1. summer term, 2. winter term Responsible Prof. Dr. Bleiweis, Stefan Lecturer 1. Prof. Dr. Bleiweis, Stefan

2. Prof. Dr. Duebon, Karl Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 1. None

2. Basics in numerical linear algebra – systems of linear equations

Recommended Requirements: none Objectives 1. Introduce students to the basics of economic thinking by

acquainting them with fundamental issues, models and methods of economics, business administration and man-agement. Relation to problems of enterprises. Grasp of management problems.

2. After successful participation, students - know the foundation principles of project manage-

ment according to the Project Management Institute (PMI)

- can write PMI-project rules/reports - are able to issue a work breakdown and a realistic

scheduling using MS – Project 2010 - know algorithms for scheduling and evaluation of

single and multiple project management: o critical path method (CPM) o critical chain project management (CCPM) o GANTT-Chart o Program Evaluation and Review Technique

(PERT) - are able to balance & control a project - can understand project management as a critical lead-

ership skill Summary/Outline 1. Basics of Economics and Business; Sales, Marketing,

CRM; Logistics, Procurement; Accounting (internal and external); Finance and Investment; Human Resources; Organization and Management.



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2. Projects are quite different to ongoing operations of a firm. Managing projects provides a huge set of challeng-es. The module part “project management” covers the basic issues of foundation, planning, implementation and project review. According to the international standard of project management (PMI) students learn the aspects of single and multiple projects, utilizing local and distributed resources. Students will have extensive exercises in writ-ing project rules/reports, task planning, tracking and budgeting of projects using MS Project 2010.

Examination 1. Written examination (90 min) with marks 2. Oral or written examination (90 min) passed or failed

Media 1. Whiteboard 2. Project Management: Computer Lab + Projector + black/white board – in stallation MS PROJECT 2010

Literature Project Management: /1/ Verzuh, E.: The Fast Forward MBA in Project Manage-ment, Wiley USA 2008 /2/ PMI 2010: Multilingual Project Management Terminolo-gy /3/ Thomsett M.C.: The Little Black Book of Project Man-agement, American Management Association (AMA), NY 2010



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Module Name Sensor Networks Module Number 31 Lectures and Laboratories 1. Bus Systems

2. Automotive Sensors, Safety & Reliability Semester 3rd Semester Period Every year, winter term Responsible Prof. Dr. Leize, Thorsten Lecturer 1. Prof. Dr. Leize, Thorsten

2. Prof. Dr. Keller, Frieder Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites Module 12, Lecture 15.1 Recommended Requirements: 1. Programming knowledge in C/C++, as of Computer Sci-

ence module 2. For Automotive Sensors: Basic knowledge in the field of “Combustion Engines”, “Powertrain” and “Electronically Controlled Braking Systems”. For Safety & Reliability: Basic knowledge of “Theory of Probabilities”

Objectives 1. The students understand the organization of messages on a bus system, know the most important bus systems and their pro and contras and can estimate the expenditure of the bus system. They are able to configure a network and know the different classes and topologies of networks. 2. The students know the special requirements for electronic technology in modern vehicles and the sensors and actuators applicable under mobile conditions. They understand the interaction of the components in the system, are able to ana-lyze weak points in the systems safety and know concepts how to avoid them.

Summary/Outline 1. Examples of Networked Systems, Transmission Media, Access Control Strategies, Error Handling, Bus Systems in Automation and Automotive Applications. Basic communication problems in sensor actor networks, seven layer model, intelligent network nodes. 2. Electronics in Automobiles - An Overview Sensors in Drive train Control Safety Systems, Comfort Sys-tems, Communication Systems, Bus Systems for Automotive Applications Reliability Analysis, Architecture of Fault-Tolerant Systems Safety, Reliability and Availability, Failure Modes and Ef-



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fects Analysis, Fault Tree Analysis Examination 1. Oral or written Examination (90 min) with marks

2. Written Examination (90 min) passed or failed Media Whiteboard, electronic slides, Ilias Literature 1. see Ilias system

2. /1/ Westbrook, Michael H.; Turner, J. D. (1994). Automo-tive Sensors, Institute of Physics Publishing /2/ Robert Bosch GmbH (2011). Automotive Handbook, Wiley /3/ Birolini, Alessandro (2010). Reliability Engineering, Springer



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Module Name Systems Engineering Module Number 32 Lectures and Laboratories 1. Modern Intelligent Controller Technology

2. System Identification Semester 3rd Semester Period Every year, winter term Responsible Prof. Dr. Herwig Lecturer 1. Assoc. Prof. Dr. Tu Diep Cong Thanh

2. Dr. Nguyen Chi Ngon Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 13.2 Recommended Requirements: Matlab & Simulink programming skills Objectives The course will involve:

(i) gaining an understanding of the functional opera-tion of a variety of intelligent controllers

(ii) the study of control theoretic foundations of intel-ligent control systems,

(iii) use of the computer for simulation and evaluation of modern intelligent control technologies

The objective will be to gain a knowledge of several of the main intelligent techniques

Summary/Outline 1. Introduction to Intelligent Control technologies. Overview of Neural Network, Computation, Training and Neural Network Controller, Building Neural Network Con-troller with Matlab, Experimental results of some neural network controllers Overview of Fuzzy Logic, Foundations, Fuzzy Inference System, Building systems with Fuzzy Logic Toolbox – Matlab, Experimental results of some fuzzy logic controllers 2. Overview, aim and relations of system identification, dynamics system modeling, least squares rules, model repre-sentations: Non-parametric & parametric approaches, sto-chastic setup, prediction error method, model selection and validation, recursive identification, advanced subspace mod-el identification, nonlinear identification, Matlab system identification toolbox, case studies.


Media Whiteboard, demonstration experiments Literature 1. /1/ Martin T. Hagan, Howard B. Demuth, Mark Beale:



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Neural Network Design, PWS Publishing, 1996. /2/ Mark H. Beale, Martin T. Hagan, Howard B. Demuth: Neural Network Toolbox™ User’s Guide, Mathworks Inc, R2011b /3/ Kevin M. Passino, Stephen Yurkovich: Fuzzy Control, Addison-Wesley Longman, Inc, 1998 /4/ Fuzzy Logic Toolbox For Use with MATLAB, User’s Guide, Ver. 2, Mathworks Inc 2. /1/. Ljung, Lennart. System Identification: A Theory for the User. 2nd Ed., Prentice Hall, 1999. ISBN: 0-13-656695-2 /2/ 6.435 System Identification, MIT OpenCourseWare http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-435-system-identification-spring-2005/index.htm /3/ Course: System Identification, Uppsala University, http://130.238.12.100/edu/course/homepage/systemid/vt11/ /4/ R. Johansson, System Modeling and Identification, Prentice-Hall, Englewood Cliffs, New Jersey, 1993. /5/ D. L. Smith, Introduction to Dynamic Systems Model-ing for Design, Prentice-Hall, Englewood Cliffs, New Jersey, 1994. /6/ Data, scripts: provided by lecturer/instructor



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Module Name Simulation Module Number 33 Lectures and Laboratories 1. Numerical Simulation

2. Application of FEM Technology Semester 3rd Semester Period Every year, winter term Responsible Prof. Dr. Westermann, Thomas Lecturer 1. Prof. Dr. Westermann, Thomas

2. Prof. Dr. Halter, Eberhard Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students


Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites Basic knowledge in technical mechanics and material sci-

ence Recommended Requirements: none Objectives 1. The students know the basic methods of numerical simula-

tion: Finite difference and finite element methods. They are aware of the systematic errors of the methods. They are able to work with the ANSYS FEM program in different areas (electrostatic, thermal: static and transient, mechanical) in order to simulate a broad range of sensor applications. 2. After having successfully completed the course, the stu-dents should be able to solve linear problems of elastomechanics

Summary/Outline 1. Modelling of 2D electrostatic problems: Laplace-Equation. Finite difference method: The method in 1D and 2D, order/accuracy of schemes, linear interpolation in 2D; extensions of the method to 3D, extensions to other partial differential equations. Iterative methods for solving large systems of linear equa-tions. Modelling of complex geometries with appropriate meshes. Finite element method 1D and 2D: Differential equation and energy equation, minimizing the energy equation for triangu-lar-shaped functions, system of linear equations. Introduction of ANSYS: Simulation of 2D electrostatic prob-lems, simulation of static and transient thermal problems, simulation of 2D/3D mechanical problems. 2. - Introduction into FEM and ANSYS - Generation of geometry - Meshing methods - Boundary conditions



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- Results interpretation Examination 1. Written examination (90 min) with marks

2. Oral or written examination (90 min) passed or failed Media Whiteboard, Computer Program ANSYS Literature /1/Lecture Notes: www.home.hs-karlsruhe.de/~weth0002/

Veranstaltungen/details/docs/secure_fh/simulation.pdf /2/ ANSYS: A.Ali, R.Afshar, Teaching Yourself ANSYS in 7 Days, Dr.-Müller-Verlag 2010. /3/ T. Westermann, Modellbildung und Simulation, Springer- Verlag 2010.



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Module Name Communication Module Number 34 Lectures and Laboratories 1. Communication & Visualization

2. Guidance of Scientific Work Semester 3rd Semester Period Every year, winter term Responsible Prof. Dr. Herwig, Ralf Lecturer 1. Prof. Dr. Herwig, Ralf

2. Dr. Kern, Maria-Andrea Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method/SWS/No. of students

1. Lecture and laboratory/2 SWS/30 2. Workshop/2 SWS/30

Workload Contact time 88h, homework 92h Credit Points (ECTS) 6 Prerequisites 1. 2 ECTS Computer Science at university level

4 ECTS Mathematics at university level 2. English, own experience in creating a bachelor thesis

Recommended Requirements: 1. none 2. none

Objectives 1. The students know different possibilities to represent data and to transfer it in different ways. They can write simple interface programs and are able to design process control terminals using visualisation programs. 2. After having successfully completed the course, the stu-dents should

- to be familiar with the aspects of a scientific paper - to organize and write effective research/project proposal - to develop a clear and concise writing style

- to understand the correct way of writing numbers, units, equations, and symbols

- to understand the proper use of punctuation and use correct grammar in scientific writing

to give a short presentation with confidence, using the prin-ciples discussed in class

Summary/Outline 1. Wide area network (WAN), TCPIP Transport, Interface between process and TCPIP, Data visualization in HTML, Data visualization and process control by specialized pro-grams, Wireless communication in networks. 2. The course will have written exercises, group activities, pair work, writing workshops, and oral presentations.

Examination 1. Written Examination (90 min) with marks 2. Referat (20 min) passed or failed

Media 1. Distributed learning environment with online information and tutorials together with primary data. Laboratory experi-



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ments about interfacing with PC. 2. presentation, practical exercises

Literature 1. 2. Blake G and Bly R W. 1993. The Elements of Technical Writing. Longman Publishers. New York



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Module Name Focal Subjects Module Number 35 Lectures and Laboratories Industry Project Semester 3rd Semester Period Every year, winter term Responsible The supervising Professor Lecturer The professor of MSST course Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method Self organized work on an unstructured problem with rela-

tion to the MSST course. Maximum group size 2 students. Workload 180h Credit Points (ECTS) 6 Prerequisites Modules 11 to 25 Recommended Requirements: The students are able to structure a problem, to gather infor-

mation, to provide a time schedule for solving the problem and to work independently on it. They are able to prepare purchase of material and equipment.

Objectives Special agreement Summary/Outline Special agreement Examination 2 Presentations (20 min) and oral discussion Media Beamer, if necessary experimental setup Literature According to necessity



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Module Name Thesis Module Number 41 Lectures and Laboratories Thesis Project Semester 4th Semester Period Every year, summer term Responsible The supervising Professor (first supervisor) Lecturer Supervising Professor, second Professor Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method Project Workload 19 weeks Credit Points (ECTS) 27 Prerequisites All modules of the semester 1 to 3, IELTS 6.0 Recommended Requirements: Objectives Proof of the cabability for scientific work under guidance Summary/Outline Work on the final project and documentation by the thesis Examination Written documentation Media Literature According to own investigations



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Module Name Final Examination Module Number 42 Lectures and Laboratories Semester 4th Semester Period Special agreement Responsible The supervising Professor (first supervisor) Lecturer Supervising Professor, second Professor Language English Part of Curriculum Mechatronics and Sensor Systems Technology ( M. Sc.) Method Workload 90h Credit Points (ECTS) 3 Prerequisites Module 41 Recommended Requirements: Objectives Proof of the capability for scientific work under guidance Summary/Outline Preparation of the thesis documentation Examination Presentation (20 min) and oral discussion (>=40 min) Media Beamer Literature Delivered Master Thesis

Documents

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