Mechatronics/Robotics: Curriculum

Facts about the studies

  • Start: September
  • Costs per semester: € 363.36 tuition fee, € 21.20 ÖH contribution
  • 24 hours per week
  • Work placement in the 5th semester
  • a Bachelor thesis
  • 180 ECTS credits
  • Possibility for a semester abroad

Courses

Below you find the current courses of the study program.

1. Semester

Name ECTS
SWS
Basic Research Laboratory Mechatronics (GRULB)
German / iMod
5.00
-
Basic Research Laboratory Mechatronics (GRULB)
German / LAB
5.00
3.00

Course description

Within this lab, students learn to solve and handle in a team different tasks independently. This takes place in the context of individual laboratory exercises on the subject areas of "manufacturing technology", "3D printing", "connection technologies", "prototype construction" and "commissioning + test".

Methodology

In this course, preparations with little need for explanation are primarily designed in self-study phases. More complex tasks are performed in attendance phases (in the course of laboratory exercises). Peer learning is being promoted as group work with a suitable group size both in attendance as well as in self-study phases.

Learning outcomes

After passing this course successfully students are able to ...

  • - describe and explain the fields of application of simple manufacturing processes and to use these processes.
  • - describe and explain the fields of application for additive manufacturing processes and to use these processes.
  • - set up a predefined circuit on a breadboard, solder it and check the correct function as well as identify and remedy any errors.
  • - set up a specified electrical circuit on a breadboard and wire it using clamping technology, put it into operation and check the correct function, as well as identify and correct any errors
  • - describe and explain simple assembly technology processes and to use these processes.
  • - read, understand and explain simple electrical circuit diagrams.

Course contents

  • - Learn basic technical skills and abilities for laboratory and project work as well as for test setups
  • - Traceable documentation of the planned procedure and the result achieved
  • - Manufacturing technology (manual / machine, generative)
  • - Assembly technology (screw connections, ...)
  • - Connection technology (soldering, manual wiring, ...)
  • - Prototype construction (breadboard, commissioning, troubleshooting, ...)
  • - Read, understand and interpret mechatronic circuit diagrams

Prerequisites

- Basic knowledge according to the admission requirements for this bachelor's degree - Previous knowledge from the "Electrical Engineering 1" module

Literature

  • - Die ERSA Lötfibel, http://www.myvolt.de/pdf/ERSA-Loetfibel.pdf
  • - W. Jansen, Anschluss- und Verbindungstechnik, Phoenix Contact Gmbh & Co. KG

Assessment methods

  • LV-immanent performance assessment, consisting (for each individual laboratory exercise) of a laboratory entrance examination, an assessment of the exercise performance and an assessment of the laboratory protocols

Anmerkungen

None

Communication 1 (COMM1)
German / kMod
5.00
-
Competence and Cooperation (KOKO)
German / UE
2.00
1.00

Course description

This course focuses on the students' self-responsible learning processes and imparts appropriate learning strategies as well as techniques and methods of time and self-management. It serves the students as a forum to get to know their group colleagues and prepares them for their own teamwork by applying and reflecting on selected team concepts.

Methodology

Impulse lecture, self-study (short videos, literature, etc.), discussion, work in groups, presentation

Learning outcomes

After passing this course successfully students are able to ...

  • aquire learning content in a variety of ways (repertoire) and prepare it for easy access (e.g. structures, visualizations, etc…), thereby taking into account the functioning of the brain
  • prioritize activities based on various methods (e.g. ABC-analysis, Pomodoro-technique) and plan their timing
  • recognise personal stress triggers and behaviour patterns and develop and describe possibilities for pattern interruptions
  • explain phase models of team development (e.g. Tuckman) and team roles (e.g. Belbin) and derive interventions for their own practice

Course contents

  • Learning, learning models and learning techniques
  • Self- and time management
  • Constructive handling of stress
  • Teamwork: tasks, roles, development

Prerequisites

none

Literature

  • Franken, Swetlana: Verhaltensorientierte Führung – Handeln, Lernen und Diversity in Unternehmen, 3. Aufl. 2010
  • Lehner, Martin: Viel Stoff – schnell gelernt, 2. Aufl. 2018
  • Seiwert, Lothar: Wenn du es eilig hast, gehe langsam: Wenn du es noch eiliger hast, mache einen Umweg, 2018
  • Van Dick, Rolf / West, Michael A.: Teamwork, Teamdiagnose, Team-entwicklung, 2. Aufl. 2013

Assessment methods

  • Exercise, case studies, test, written exam

Anmerkungen

none

Technical English (ENG1)
English / UE
3.00
2.00

Course description

In the Technical English course, students will expand their language toolkit to allow them to effectively record and apply technical vocabulary and terminology in the context of future engineering topics such as automization, digitalization, machines and materials and 3D Printing. Moreover, students will advance their technical verbal and written skills by creating technical object and technical process descriptions specifically for technical professional audiences and engineering purposes.

Methodology

small and medium tasks and activities; open class inputs and discussion; individual task completion settings; peer review and discussion

Learning outcomes

After passing this course successfully students are able to ...

  • record and employ technical vocabulary
  • create and understand technical process instructions
  • identify and produce technical text types according to their intended audience and communication purpose (for example a technical article and a process description)

Course contents

  • Future Trends in Technology (automization, digitalization, machines and materials, 3D printing, AI, and the internet of things.)
  • Visualizing technical descriptions
  • Describing technical visualizations
  • Technical object descriptions
  • Technical process descriptions
  • Technical English talk

Prerequisites

B2 level English

Literature

  • Murphy, R. (2019). English Grammar in Use, 5th Edition. Klett Verlag.
  • Oshima, A., Hogue, A. (2006). Writing Academic English, 4th Edition. Pearson Longman.

Assessment methods

  • 25% Technical Process Description Group Task
  • 25% Technical Process Description Language Task
  • 50% in-class writing (25% writing / 25% applied knowledge)
Electrical Engineering 1 (ET1)
German / kMod
5.00
-
Electrical Engineering 1 (ET1)
German / ILV
3.00
2.00

Course description

In this course you will learn the basics of Electronics and electronic components theoretically. Understanding the basiscs of Electronics is essential for the intended career. Previous knowledge in Electronics is not needed. The main emphasis of this course is on calculating circuits with passive elements in DC. The methods learnt throughout this course will be used extensively during the rest of your studies.

Methodology

This lecture was designed according to the constructive alignment principle. Each theme is divided into a self-study phase and a presence phase, which are connected to each other according to the "zipper principle". The main teaching method in this lecture is "learning by doing".

Learning outcomes

After passing this course successfully students are able to ...

  • Name and describe the most important passive elements and its properties when dealt in DC,
  • calculate voltage, current and power of resistance networks using Kirchhhoff's laws, the law of superposition, and equivanent circuits using the theories of Thèvenin and Norton,
  • carry out calculations on circuits with passive elements on DC,
  • describe the function of important circuits with diodes.

Course contents

  • Current, voltage, resistance and power,
  • Ohm's Law, equivalent circuits, voltage and current divider,
  • Kirchhoff's laws, node and mesh analysis,
  • Superposition,
  • Thèvenin and Norton theoremes,
  • electric field and capacitor,
  • magnetic field and inductor,
  • diodes and diode circuits.

Prerequisites

Highschool level of Maths and Physics

Literature

  • https://link-1springer-1com-1000342cz0905.han.technikum-wien.at/book/10.1007/978-3-658-27840-3
  • https://link-1springer-1com-1000342cz0906.han.technikum-wien.at/book/10.1007/978-3-8348-9246-1
  • https://www.allaboutcircuits.com/textbook/
  • https://www.amazon.de/dp/0071830456/ref=sr_1_5?keywords=schaum+electric+circuits&qid=1582621568&sr=8-5

Assessment methods

  • 60% Exams (2 exams, 30% each)
  • 20% Moodle Tests each of 5 to 10 minute duration), that take place during the lectures
  • 20 %exercises done either during the lecture or as homework.

Anmerkungen

none

Electrical Engineering Laboratory 1 (ETLB1)
German / LAB
2.00
1.00

Course description

In this lab course you will apply what you learnt in Electrotechnik 1 ILV practically, by calculating buidling and testing circuits. Previous knowledge in Electronics is not required. Some experiments are designed to combine with each other, so that by the last lab session you will be able to build a DC power supply. By building simple circuits you learn to use practically what was learnt theoretically in the ILV as well as to properly use the equimpent and measuring tools available in the lab, to troubleshoot circuits and to document your experiments and experimental results. These abilities will be decisive during the rest of your studies and career.

Methodology

This lecture was designed according to the constructive alignment principle. Each theme is divided into a self-study phase and a presence phase, which are connected to each other according to the "zipper principle". The main teaching method in this lecture is "learning by doing".

Learning outcomes

After passing this course successfully students are able to ...

  • apply practically the themes learnt in Electrotechnik 1 ILV,
  • build and test simple circuits.

Course contents

  • Ohm's and Kirchhoff's laws
  • Measurements with the oscilloscope and function generator
  • Measurements with RC and RL circuits
  • Diode and Zener diode
  • DC power supply

Prerequisites

Electrotechnik 1 ILV

Literature

  • https://link-1springer-1com-1000342cz0905.han.technikum-wien.at/book/10.1007/978-3-658-27840-3
  • https://link-1springer-1com-1000342cz0906.han.technikum-wien.at/book/10.1007/978-3-8348-9246-1
  • https://www.allaboutcircuits.com/textbook/
  • https://www.amazon.de/dp/0071830456/ref=sr_1_5?keywords=schaum+electric+circuits&qid=1582621568&sr=8-5

Assessment methods

  • The final note is comprised of the following:
  • • 50% active participation during the lab sessions (10 points per experiment), and
  • • 50% lab reports (10 points per lab report).

Anmerkungen

none

Fundamentals of Mechatronics and Robotics (MEROB)
German / kMod
5.00
-
Fundamentals of Mechatronics (MECHT)
German / ILV
2.00
1.00

Course description

In this course you will get an overview of the basics of mechatronics. In the classes of the course, you will deal with the basic structure of mechatronic systems, the basic terms and definitions of sensors, actuators and control engineering. You can expect exciting and tricky examples of mechatronic systems. Your acquired knowledge from your own studies will be checked with short moodle tests. At the end of the course you will prove your skills in an online exam. Translated with www.DeepL.com/Translator (free version)

Methodology

The course consists of classes and self-study. During each class, you will receive information about some topics from the field of mechatronics. In the self-study you will have to acquire some additional information. During some classes you have to write a Moodle-test. The test will contain the chapters that were discussed during class and the chapters that you had to learn during self-study.

Learning outcomes

After passing this course successfully students are able to ...

  • understand the basic structure of mechatronic systems and describe these systems
  • give examples of mechatronic systems and break them down into subsystems
  • understand process models for the development of mechatronic systems
  • properties of mechatronic systems

Course contents

  • Introduction to Mechatronics
  • Basic structure of mechatronic systems
  • Basic terms and definitions of mechatronics
  • Examples of mechatronic systems
  • Process models for the development of mechatronic systems

Prerequisites

no previous knowledge required

Literature

  • Literature will be discussed in the lecture.

Assessment methods

  • written exam (online), 2 Moodle-Tests

Anmerkungen

You can find more information in the Moodle course.

Fundamentals of Robotics (ROBOT)
German / LAB
3.00
2.00

Course description

The course teaches the basics of robotics and the online programming of an industrial robot.

Methodology

Integrated course and practical exercises on industrial robots in the laboratory. Workshops.

Learning outcomes

After passing this course successfully students are able to ...

  • describe the basic structure of an industrial robot.
  • To explain the basic concepts of robotics.
  • List the advantages and disadvantages of different robot structures.
  • List and describe robot applications in industry.
  • to operate an industrial robot.
  • Calibrate robotic tools and work objects.
  • Explain and write robot programs.

Course contents

  • Introduction to Robotics
  • Basic terms and definitions of robotics
  • Basic structure of robot systems
  • Examples of robot applications
  • Programming of industrial robot systems and measurement of tools and work objects

Prerequisites

Basic knowledge according to the entry requirements for the bachelor's degree.

Literature

  • Hesse, S.; Malisa, V.: Taschenbuch Robotik - Montage - Handhabung. Carl-Hanser-Verl, 2010.
  • ABB AG, 2019, Bedienungseinleitung, RobotStudio 6, Robotics Products, SE-721 68 Västerås.
  • ABB AG, 2019, Bedienungseinleitung, Einführung in RAPID 6, Robotics Products, SE-721 68 Västerås.
  • Further documents / online tools will be researched and provided as part of the development!

Assessment methods

  • - self-study 50%
  • - Attendance phases 50%
  • --- Grading of the self-study test (25 points - 5 points per test
  • --- Grading of the laboratory exercise (s) (25 points - 5 points per exercise),
  • --- Grading of the final exam (25 point Moodle test),
  • --- Grading of the final examination in the laboratory (25 points).

Anmerkungen

Practical learning content is presented in the robotics laboratory A0.14, as industrial robots are available there to convey learning content. For safety reasons (fire protection guidelines) max. 12 students must be present in the room.

Mathematics for Engineering Science 1 (MAES1)
German / iMod
5.00
-
Mathematics for Engineering Science 1 (MAES1)
German / ILV
5.00
3.00

Course description

The course „Mathematik für Computer Science 1“ is supposed to convey mathematical skills and a structured mode of thought. The methods acquired by the students, based on a sustainable foundation, enable them to solve up-to-date technical and engeneering problems in an efficient and comprehensible way and to analyze established solutions. After an introductory part the emphasis lies on linear algebra.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • to properly formulate mathematical statements using propositional logic and set theory, and to represent numbers in various numeral systems
  • to analyze basic properties of functions in one variable, and to interpret these in the appropriate subject context
  • to apply operations and changes of representation with complex numbers, to interpret them geometrically in the complex plane, and to describe harmonic oscillations in terms of complex numbers
  • to solve basic problems in general vector spaces and simple geometric problems in two and three dimensional euclidean space
  • to perform elementary matrix operations, and to compute determinants and inverse matrices
  • to solve systems of linear equations using Gauß‘ algorithm
  • to perform geometric operations in terms of linear mappings
  • to compute scalar products, orthogonal projections and orthogonal transformations, and to interprete them geometrically
  • to compute eigenvalues, eigenvectors and eigenspaces

Course contents

  • Logic and sets
  • Number sets and numeral systems
  • Functions
  • Complex numbers
  • Vector spaces
  • Matrices and linear operators
  • Systems of linear equations
  • Systems of linear equations
  • eigenvalues and eigenvectors

Prerequisites

none

Literature

  • Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel: Mathematik. Springer Spektrum (aktuell: 4. Auflage 2018)

Assessment methods

  • The basis for the assessment are 10 (online) quizzes, two units of practical exercises and two written tests. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.

Anmerkungen

none

Statics (STAT)
German / kMod
5.00
-
Applications of statics and strength theory (STA2)
German / ILV
2.00
1.00

Course description

In this sub-module students deepen and expand the basic knowledge of statics and strength theory by applying the theoretical content to typical problems in two dimensions.

Methodology

Integrative lecture, calculation and group exercises,

Learning outcomes

After passing this course successfully students are able to ...

  • - To display free-body images of mechanical components.
  • -Solve equilibrium problems for statically determined systems in the plane for a rigid body with the help of the equilibrium conditions.
  • - To determine forces in the bars of a level framework using node and intersection methods and to recognize zero bars.
  • -Calculate special frameworks and simple devices from hinged rods.
  • -Apply sectional methods to determine the internal stress of simple components as well as to graphically display and calculate normal force, shear force and bending moment.
  • - for simple components and assemblies where frictional forces act, to set up and calculate equilibrium conditions and friction equations.
  • - Define and explain terms of strength engineering.
  • -Calculate normal and shear stresses in simple components such as bars, beams and shafts.
  • -dimensioning simple components under simple loads.
  • -Calculate comparison voltages according to GEH.
  • -Calculate deformation of simple components.
  • -to define the concept of the axial geometrical moment of inertia.
  • - to calculate the axial geometrical moment of inertia for a cross-section composed of simple partial surfaces and to apply Steiner's theorem.
  • - Graphical representation of the course of transverse forces and bending moments for simple loads on straight beams.
  • -Calculate the bending line and the angle of inclination for straight beams.

Course contents

  • Tension
  • Deformation
  • Distortion
  • Mechanical material properties
  • Tensile and compressive, bending, shearing, torsion, GEH

Prerequisites

Sub-Module: Physical Fundamentals in Statics Modul: Mathematics 1

Literature

  • - Hibbeler, R. C.: Technische Mechanik 1 Statik, Pearson, 2018.
  • - Hibbeler, R. C.: Technische Mechanik 2 Festigkeitslehre, Pearson, 2013
  • Böge, A.; Böge, W: Technische Mechanik Statik - Reibung - Dynamik
  • Festigkeitslehre, Springer Vieweg, 2019

Assessment methods

  • Chapter-by-chapter knowledge checks in distance learning through Moodle quizzes (multiple choice).
  • Written knowledge test as a final test in the form of calculation examples, open questions and multiple choice questions.

Anmerkungen

none

Fundamentals of Statics (STA1)
German / ILV
3.00
2.00

Course description

The course "Physikalische Grundlagen der Statik" aims to impart scientific skills and knowledge in the context of physics. The main objective of the course is to introduce students to the basic concepts and ideas of classical Newtonian mechanics in such a way that they can apply these basic concepts and ideas in technical practice. In this context, the focus is almost exclusively laid on the treatment of static problems, which form the basis of several technical disciplines - especially the theory of structural design and structural construction. The formal basics of these technical disciplines are discussed in detail during the course and are deepened by solving practice-oriented computational tasks and by carrying out a laboratory experiment. In this way, statistical methods of experimental physics (i.e. in particular measurement and measurement evaluation methods) as well as quantitative estimation and interpretation of model-relevant physical quantities are learned, independent work on technical equipment is trained and a basic understanding of scientific working methods is conveyed. The calculations to be solved promote the ability to solve technical problems mathematically. The subjects taught in the course are of great importance for the entire engineering sciences, as they form the basis for the understanding of many advanced contents from more in-depth lectures and take the presented models as a theoretical basis for more specific lectures in the engineering context.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • use physical units correctly.
  • explain the interrelation between physical parameters.
  • define and explain the principles of statics.
  • add and decompose forces.
  • represent forces by force vectors and determine the absolute value, direction and angle of vectors.
  • define the concept of torque and to calculate it in planar systems.
  • define and explain terms of dry friction, adhesion, sliding, tilting and equilibrium conditions for rigid bodies.
  • specify and apply equilibrium conditions and friction equations for simple components and construction assemblies on which dissipative forces act.
  • set up and carry out physical experiments in the laboratory independently and to prepare protocols according to common standards.
  • apply basic physical processes from the field of mechanics in practice.
  • apply the basic rules of scientific work when writing and analysing texts, and to distinguish between a scientific approach and a non-scientific (everyday life) approach.
  • interpret measurement results according to selected physical theories.
  • to perform error evaluation of experimental data using the methods mean value, standard deviation and Gaussian propagation of uncertainty.
  • apply the concept of linear regression and to perform it in practical cases.

Course contents

  • Physical quantities and units
  • SI System
  • Basic physical concepts (velocity, acceleration, force, momentum, energy, work, power)
  • Newton's laws
  • Force and force vectors
  • Equilibrium at the point in the plane
  • Resultant of systems of forces
  • Equilibrium of rigid bodies
  • Laboratory test: pendulum & statistics
  • propagation of uncertainty, statistical and systematic error

Prerequisites

none

Literature

  • Russel Hibbeler: Technische Mechanik 1
  • Douglas C. Giancoli: Physik. Pearson

Assessment methods

  • The basis for the assessment are 4 (online) quizzes, 5 exercise classes and one written exam. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents presented and the necessary mathematical skills.

Anmerkungen

none

2. Semester

Name ECTS
SWS
Communication 2 (COMM2)
German / kMod
5.00
-
Business English (ENG2)
English / UE
3.00
2.00

Course description

In this Business English course, students will learn how to write clear, compelling, professional text, as well as, expanding their language toolkit to enable them to record and apply business vocabulary and terminology in the context of future trends in Business and Engineering. These trends would include, amongst others, diversity and inclusion, the globalization of the economy and, also, the internationalization of finance. Moreover, students will advance their verbal and written English language skills by applying critical thinking tools in the creation of impact analyses specifically for technical business audiences of the global community.

Methodology

small and medium tasks and activities; open class inputs and discussion; individual task completion settings; peer review and discussion

Learning outcomes

After passing this course successfully students are able to ...

  • record and employ vocabulary for business in technology
  • create a business technology impact analysis
  • articulate both orally and in written form the different ways in which technology impacts business
  • use specific vocabulary and terminology in, for example, leading a meeting

Course contents

  • Business in Technology (for example finance and investment, the global economy, digital marketing and sales, international teams, and diversity and inclusion)
  • Impact Analyses for Business and Technology
  • Business English Talk

Prerequisites

B2 level English

Literature

  • Murphy, R. (2019). English Grammar in Use, 5th Edition. Klett Verlag.

Assessment methods

  • 25% Gruppenarbeit zur wirtschaftlichen Folgenabschätzungsanalyse
  • 25% Sprachaufgabe zur wirtschaftlichen Folgenabschätzungsanalyse
  • 50% Schriftliche Prüfung

Anmerkungen

none

Creativity and Complexity (KREKO)
German / UE
2.00
1.00

Course description

This course introduces the process of finding ideas by testing various creativity techniques, whereby the students also act as moderators using appropriate moderation techniques. As part of the course, students deal with the phenomenon of "complexity", develop a systemic attitude and train the explanation of complex issues, especially for people without major technical expertise.

Methodology

Impulse lecture, self-study (short videos, literature, etc.), discussion, work in groups, presentation

Learning outcomes

After passing this course successfully students are able to ...

  • moderate a map query followed by clustering and multi-point querying
  • Implement case-oriented approaches to the generation of ideas (e. g. lateral thinking, critical thinking) as well as selected creativity techniques (e. g. stimulus word analysis, morphological box) to be explained and applied)
  • adopt a systemic mindset and explain and apply tools for dealing with complexity (cf. B. Effectiveness structures, paper computers
  • explain complex technical issues in a target group-specific manner (also for non-technicians)

Course contents

  • Moderation of groups
  • Brainstorming and creativity
  • Networked thinking, dealing with complexity
  • Explain complex issues

Prerequisites

none

Literature

  • Dörner, Dietrich: Die Logik des Misslingens: Strategisches Denken in komplexen Situationen, 14. Aufl. 2003
  • Lehner, Martin: Erkären und Verstehen: Eine kleine Didaktik der Vermittlung, 5. Aufl. 2018
  • Rustler, Florian: Denkwerkzeuge der Kreativität und Innovation – Das kleine Handbuch der Innovationsmethoden, 9. Aufl. 2019
  • Schilling, Gert: Moderation von Gruppen, 2005
  • Vester, Frederic: Die Kunst vernetzt zu denken, 2002

Assessment methods

  • Exercise, case studies, test

Anmerkungen

none

Dynamics (DYN)
German / kMod
5.00
-
Applications of Dynamics (DYN2)
German / ILV
2.00
1.00

Course description

In this sub-module students deepen and expand the dynamics by applying theoretical content to typical problems in two dimensions.

Methodology

Integrative lecture, calculation and group exercises

Learning outcomes

After passing this course successfully students are able to ...

  • - define and explain the notions kinematics and kinetics.
  • - write down Newton’s and D’Alembert’s equations of motion for the planar kinetics of a rigid body.
  • - define and to explain the laws of linear and angular momenta.
  • - write down the equations of motion for the planar kinetics by using the laws of linear and angular momenta.
  • - calculate mass moments of inertia for simply compounded bodies by using the parallel axis theorem.
  • - solve problems of planar kinematics and kinetics of rigid bodies moving purely translationally.
  • - solve problems of planar kinematics and kinetics of rigid bodies moving purely rotationally about a fixed axis.
  • - solve problems of planar kinematics and kinetics of rigid bodies performing translational and rotational movement.

Course contents

  • Planar kinetics of a rigid body
  • - Newton’s and D’Alembert’s equations of motion
  • Linear and angular momentum
  • Mass moments of inertia

Prerequisites

Sub-Module: Physical Fundamentals in Dynamics Modul: Mathematics 1 and 2, Statics

Literature

  • - Hibbeler, R. C.: Technische Mechanik 3 Dynamik, Pearson, 2012.
  • - Gross, Dietmar; Hauger, Werner; Schröder, Jörg; Wall, Wolfgang A. (2015): Technische Mechanik 3: Kinetik. Berlin: Springer Vieweg

Assessment methods

  • Chapter-by-chapter knowledge checks in distance learning through Moodle quizzes (multiple choice). Written knowledge test as a final test in the form of calculation examples, open questions and multiple choice questions.

Anmerkungen

none

Fundamentals of Dynamics (PHDYN)
German / ILV
3.00
2.00

Course description

The course "Physikalische Grundlagen der Dynamik" aims to impart scientific skills and knowledge in the context of physics. The main objective of the course is to introduce students to the basic concepts and ideas of classical Newtonian mechanics in such a way that they can apply these basic concepts and ideas in technical practice. The content-related focus is placed almost exclusively on the treatment of dynamic problems, which are the subject of various technical disciplines. By solving practice-oriented computational tasks and taking short (online) tests as well as conducting a laboratory experiment, the ability to solve technical problems mathematically is developed and the basics of physical modelling are clarified. In addition, statistical methods of experimental physics (i.e. in particular measurement and measurement evaluation methods) are learned, independent work on technical equipment is trained and a basic understanding of scientific working methods is conveyed. The subjects taught in the course are of great importance for the entire engineering sciences, as they form the basis for the understanding of many advanced contents from more in-depth lectures and provide the theoretical foundation for more specific lectures in the context of engineering sciences.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • • define and explain concepts of dynamics.
  • • perform kinematic calculations of the motion of a mass point along a straight line or on a circular orbit and to graphically display said motion.
  • • describe the relative motion of two mass points.
  • • define and explain Newton's laws of motion.
  • • perform kinetic calculations of accelerated motion using Newton's laws and the principle of d'Alembert for linear and circular calculus problems.
  • • define and explain the law of work and the law of energy and to solve simple problems (exercises) for mass points.

Course contents

  • • Plane kinematics of mass points
  • • Work and energy for the plane kinetics of a rigid body

Prerequisites

none

Literature

  • Russel Hibbeler: Technische Mechanik 1; Douglas C. Giancoli: Physik. Pearson

Assessment methods

  • The basis for the assessment are 4 (online) quizzes, 5 exercise classes and one written exam. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents presented and the necessary mathematical skills.

Anmerkungen

none

Electrical Engineering 2 (ET2)
German / kMod
5.00
-
Electrical Engineering 2 (ET2)
German / ILV
3.00
2.00

Course description

In this course you will learn the basics of Electronics and electronic components theoretically. Understanding the basiscs of Electronics is essential for the intended career. It is required to have passed the courses Elektrotechnik 1 ILV and its Laboratory sessions with a positive mark. The focus of this course lies in the functionality and calculation of the passive components in the alternating current (AC) and three-phase systems as well as in the analysis of simple circuits in both current systems. The functionality, calculation and characteristic properties of important semiconductor elements in the direct current system are also the focus of this course.

Methodology

This lecture was designed according to the constructive alignment principle. Each theme is divided into a self-study phase and a presence phase, which are connected to each other according to the "zipper principle".  The main teaching method in this lecture is "learning by doing".

Learning outcomes

After passing this course successfully students are able to ...

  • name and describe the main passive elements in AC and its function as well as polyphase circuits,
  • calculate circuits in AC,
  • name and describe the most important active elements and semiconductors in DC and their function.

Course contents

  • RC and RL Circuits: Impulse response,
  • RC and RL in AC: Impedance, phasors, power calculation,
  • RC and RL in AC: Transfer function, frequency response, Bode diagram,
  • RLC resonance circuit,
  • Polyphase circuits,
  • Transistor as switch,
  • Transistor as amplifier, MOSFET,
  • Operational Amplifiers,

Prerequisites

You must have attended the courses Elektrotechnik 1 ILV and Laboratory and passed with a postive mark.

Literature

  • Thomas Harriehauser, Dieter Schwarzenau,„Moeller Grundlagen der Elektrotechnik“, Springer Verlag, 2019.
  • Wilfried Weißgerber, „Elektrotechnik für Ingenieure 2“, Springer Verlag, 2018
  • Mahmood Navi, Joseph A. Edminster, „Shaum‘s outlines: Electric Circuits“, McGraw Hill, 2014.

Assessment methods

  • During the lectures you will answer a short test to test the knowledge you learnt during the self-study phase. On the 9th Lecture the final exam will take place. The tests and the exams are checked for completeness and correctness

Anmerkungen

none

Electrical Engineering Laboratory 2 (ETLB2)
German / LAB
2.00
1.00

Course description

In this lab course you will apply what you learnt in Electrotechnik 2 ILV practically, by calculating buidling and testing circuits. By building simple circuits you learn to use practically what was learnt theoretically in the ILV as well as to properly use the equimpent and measuring tools available in the lab, to troubleshoot circuits and to document your experiments and experimental results. These abilities will be decisive during the rest of your studies and career.

Methodology

This lecture was designed according to the constructive alignment principle. Each theme is divided into a self-study phase and a presence phase, which are connected to each other according to the "zipper principle".  The main teaching method in this lecture is "learning by doing".

Learning outcomes

After passing this course successfully students are able to ...

  • apply practically the themes learnt in Electrotechnik 2 ILV,
  • build and test simple circuits.

Course contents

  • RLC resonance circuit,
  • Three-phase load,
  • Transistor as amplifier,
  • Operational Amplifier circuits,
  • DC-DC converter.

Prerequisites

You must have attended the courses Elektrotechnik 1 ILV and Laboratory and passed with a postive mark.

Literature

  • Thomas Harriehauser, Dieter Schwarzenau,„Moeller Grundlagen der Elektrotechnik“, Springer Verlag, 2019.
  • Wilfried Weißgerber, „Elektrotechnik für Ingenieure 2“, Springer Verlag, 2018.
  • Mahmood Navi, Joseph A. Edminster, „Shaum‘s outlines: Electric Circuits“, McGraw Hill, 2014

Assessment methods

  • 50% active participation during the lab sessions (10 points per experiment), and
  • 50% lab reports (10 points per lab report).

Anmerkungen

none

Mathematics for Engineering Science 2 (MAES2)
German / iMod
5.00
-
Mathematics for Engineering Science 2 (MAES2)
German / ILV
5.00
3.00

Course description

The course „Mathematik für Engineering Science 2“ is supposed to convey mathematical skills and a structured mode of thoughtthe emphasis lies on calculus.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • to examine sequences and series with respect to convergence
  • to compute limits and the asymptotic behavious of functions
  • to explain the definition of the derivative of a function and to interpret the derivative geometrically
  • to apply the rules of differentiation to an appropriate extent
  • to analyze functions by means of differential calculus (e.g. with respect to extrema and curvature behaviour) and to approximate functions locally in terms of Taylor polynomials
  • to compute definite, indefinite and improper integrals
  • to interpret definite integrals as areas or accordingly in the relevant context
  • to classify ordinary differential equations
  • to solve basic ordinary differential equations by standard methods and to interpret them in the appropriate subject context

Course contents

  • sequences and series
  • differential calculus
  • integral calculus
  • ordinary differential equations

Prerequisites

Mathematics for Engineering Science 1

Literature

  • Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel: Mathematik. Springer Spektrum (aktuell: 4. Auflage 2018).

Assessment methods

  • The basis for the assessment are 10 (online) quizzes, two units of practical exercises and two written tests. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.

Anmerkungen

none

Specialisation Laboratory - Technical Project (TECPR)
German / iMod
5.00
-
Specialisation Laboratory - Technical Project (TECPR)
German / LAB
5.00
3.00

Course description

In this course, students learn to solve and handle different tasks independently in a team. This is done in the context of individual laboratory exercises in the subject areas of mechatronics & robotics, mechanical engineering and renewable energies, as well as through a team project on a specific task.

Methodology

In the course of this lecture, the preparations with little need for explanation are primarily designed in self-study. More complex tasks or tasks with which students experience difficulties are then carried out as part of the laboratory exercises or during project work in person. Peer learning is promoted insofar as group work with a suitable group size is provided in the face-to-face phase as well as in the subsequent self-study.

Learning outcomes

After passing this course successfully students are able to ...

  • • to solve and handle different tasks in the team independently.
  • • to analyze a given technical task in a team and to design a solution.
  • • to Document, interprete and discuss the solution and the results achieved in a protocol.
  • • to analyze and discuss the technical relationships between the individual sub-disciplines.
  • • to recognize alternative solutions and to analyze and discuss the resulting solutions.
  • • to implement the solution in a team and successfully implement it with the given resources within a fixed time frame.
  • • to document the result of the team project as a technical report.

Course contents

  • • Deepening of technical skills and abilities for laboratory and project work
  • • Documentation of the planned procedure and the result achieved, writing of a protocol / project report
  • • Application of the skills learned to implement small technical projects in a team

Prerequisites

Basic knowledge according to the entry requirements for this bachelor's degree as well as previous knowledge from the modules "Electrical Engineering 1" and "Electrical Engineering 2" as well as a basic lab course.

Literature

  • Literature can be found in the moodle course.

Assessment methods

  • Course-immanent performance assessment, consisting (for each individual laboratory exercise) of a laboratory entrance examination, an assessment of the implementation of the exercise as well as an assessment of the laboratory protocols and (for the project) an assessment of the project report.

Anmerkungen

none

Technical Drawing CAD (TEZEI)
German / kMod
5.00
-
Fundamentals of Technical Drawing (TEZEI)
German / ILV
3.00
2.00

Course description

Rules, aspects, criteria for designing and dimensioning a construction according to the function and standards that must be considered when designing mechanical engineering parts are taught. The participants gain also knowledge about the production-compliant execution of technical drawings for mechanical engineering components and the ability to carry out design tasks independently.

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • - sketch or interpret simple assembly drawings and technical designs.
  • - carry out the design of components taking into account the functional requirements.
  • - prepare a representation of technical elements and components in accordance with standards.
  • - create a 3D model using CAD software in accordance with standards.

Course contents

  • - Drawing sheets, sheet sizes, standard font
  • - Lines and applications in mechanical engineering
  • - Representation of the workpieces
  • - Dimension entries
  • - Freehand sketch and final artwork
  • - Projections and sectional views
  • - Standards
  • - Workpiece details (chamfers, curves, cones, circle pitch, surface condition, ...)
  • - geometric tolerances
  • - General tolerances and fits
  • - First steps with a CAD software
  • - CAD extension and deepening

Prerequisites

Basic knowledge according to admission requirements for the bachelor’s program Prior knowledge of manufacturing technology from the cource "Manufacturing Engineering”

Literature

  • - Frischherz, A.; Piegler, H.; Semrad, K.:Technische Zeichnen Fachzeichnen, Jugend und Volk, 2009
  • - Labisch, S.; Weber, C.: Technisches Zeichnen: Selbstständig lernen und effektiv üben, Springer Vieweg, 2013
  • - Kurz, U.; Wittel, H.: Böttcher/Forberg Technisches Zeichnen: Grundlagen, Normung, Übungen und Projektaufgaben, Springer Vieweg, 2013

Assessment methods

  • Drawing folder, projects and examination

Anmerkungen

none

Machine Elements 1 (MEL1)
German / ILV
2.00
1.00

Course description

The sub-module deals with fundamentals of machine elements. The focus is on the selection, dimensioning and calculation of non-detachable connections. Selected examples are deepened in the exercise sections

Methodology

Integrative lecture, calculation and group exercises,

Learning outcomes

After passing this course successfully students are able to ...

  • - to explain the mode of operation and the structure of simple machine elements and to dimension them according to the required functions.
  • - to calculate the necessary dimensioning of machine elements taking into account the required safety factors.
  • - to estimate different solutions for the construction of an application and to select solutions accordingly from the point of view of usability and economy.

Course contents

  • tolerances, fits, surface properties (application and calculation basis)
  • adhesive connections (construction details and calculation basis)
  • riveted connections (construction details and calculation basis)
  • soldered connections (construction details and calculation basis)
  • tribology (application and simple calculations)

Prerequisites

Basic knowledge according to the admission requirements for the course, knowledge from the module statics

Literature

  • Wittel et al: Roloff/Matek Maschinenelemente, 24., vollst. überarb. Aufl., Vieweg Verlag; 2019
  • Wittel et al: Roloff/Matek Maschinenelemente Aufgabensammlung, 15., vollst. überarb. Aufl., Vieweg Verlag, 2010

Assessment methods

  • Chapter-by-chapter knowledge checks in distance learning through Moodle quizzes (multiple choice). Written knowledge test as a final test in the form of calculation examples, open questions and multiple choice questions.

Anmerkungen

none

3. Semester

Name ECTS
SWS
Applied Computer Science (APPCS)
English / iMod
5.00
-
Applied Computer Science (APPCS)
English / ILV
5.00
3.00

Course description

Software has become part of all areas of industrial engineering. Therefore, a basic education in applied computer science and the development of software are standard components of the graduates' toolbox. During the teaching, special emphasis is given to the abstraction of requirements and, subsequently, the realisation of corresponding software systems. In the first part of the course you will learn about the fundamentals of computer architecture, operating systems and virtualizations and you will work hands-on with file systems and bootable USB-Drives. In further classes and self-studies you will get insights into programming with python and the creation of algorithms using flowcharts in the first place and subsequently by using Python as a programming language. Python is a high-level programming language with use-cases in mechanic engineering, data aggregation, data analysis and many more. Working hands-on with datatypes and control structures will provide you the basic skills to create programs. Practical weekly moodle tests will keep you on track and will consequently challenge you to gain implementation expertise. Hands-on working with collections and files will expand your options in how to solve problems using your programming skills. In later classes you will expand your skills even further by working with an online simulation of a Raspberry Pi and by processing Open Data using APIs.

Methodology

Combination of classes and self-study phases

Learning outcomes

After passing this course successfully students are able to ...

  • understand and explain architectures, operating systems and peripherals of computers
  • analyze and explain problems/tasks, create algorithmic solutions (using flow charts) and implement them using structured programming techniques
  • understand and apply fundamental tasks of programming languages: reading, processing and output of structured data, basic operations in data structures, regular expressions, control structures (conditional queries, loops, functions).
  • execute software tests
  • develop practical applications on a Raspberry Pi simulation
  • develop practical applications based on open data

Course contents

  • Introduction Computer Science: Computer architecture, hardware, operating systems
  • Software and its characteristics
  • Programing paradigms, programing languages and their fields of application
  • Software development, development processes
  • Basics of computer architectures
  • Microcontroller vs. Microprocessor
  • Introduction to programming with python
  • Data processing: reading, processing, output of data
  • Contrul structures and loops
  • Dictionaries
  • Funktionen

Prerequisites

none

Literature

  • Christian Baun, Operating Systems / Betriebssysteme, DOI: 10.1007/978-3-658-29785-5
  • Connor P. Milliken, Python Projects for Beginners – A Ten-Week Bootcamp Approach to Python Programming, DOI: 10.1007/978-1-4842-5355-7
  • Sunil Kapil, Clean Python – Elegant Coding in Python, DOI: 10.1007/978-1-4842-4878-2
  • Python® Notes for Professionals, https://books.goalkicker.com/PythonBook/ (free)

Assessment methods

  • Weekly moodle tests
  • Practical exercises
  • Moodle exam at the end of the course
Automation Technology 1 (AUT1)
German / kMod
5.00
-
Automation Technology 1 (AT1)
German / ILV
3.00
2.00

Course description

During this course, the students learn different basic concepts of automation technology. In the course of this lecture, theoretical concepts will be discussed, issues relating to the design of automation components will be discussed and analyzed and finally deepened in exercises.

Learning outcomes

After passing this course successfully students are able to ...

  • define and explain terms in electrical and physical measurement technology.
  • design and dimension an OPV-based electronic measurement amplifier circuit for signal adaptation of a sensor output signal.
  • design and dimension a suitable bridge circuit for measurements with physical sensors (e.g. force sensors).
  • draw, explain and discuss a standard control loop and its individual components or signals.
  • analyze a linear technical system (mechanical, electrical or pneumatic), to specify it as a (complex) transfer function, locus and Bode diagram and to identify its transfer function from the step response of a linear system.
  • check and discuss its stability for a SISO control loop with the help of the transfer function, the locus and the Bode diagram.
  • dimension, evaluate and optimize P/PI/PD/PID controller and switching controller for an existing linear controlled system on the basis of a given quality criterion.
  • compare and evaluate different pneumatic and electric drive concepts.
  • design, analyze and implement a pneumatic automation concept.
  • Describe and evaluate the components and structure of an electric drive system for a given application.

Course contents

  • Principles of automation technology (introduction, history, motivation, automation pyramid)
  • Structure and design of an automation system
  • Electrical and physical measurement technology, sensors in automation technology
  • Actuators (pneumatic, electric)
  • Basics of control and regulation technology (basic principles, control types, control loops)
  • Technical control systems (analysis, control design and evaluation for technical machines and systems)
  • Application examples

Prerequisites

Basic knowledge in accordance with the entry requirements for this bachelor's degree. Prior knowledge from the modules "Electrical engineering 1" and "Electrical engineering 2".

Literature

  • B. Heinrich, P. Linke, M. Glöckler, Grundlagen der Automatisierung, Springer Vieweg, 2. Auflage, 2017
  • V. Plank, Grundlagen der Automatisierungstechnik kompakt, Springer Vieweg, 2019.

Assessment methods

  • Course-immanent performance assessment, written exam(s), antestate
Automation Technology Laboratory 1 (ATLB1)
German / LAB
2.00
1.00

Course description

During these laboratory exercises, the students learn different basic concepts of automation technology. In the course of the exercises, theoretical concepts from the ILV AT1 will be exemplary applied and deepened.

Methodology

laboratory exercises

Learning outcomes

After passing this course successfully students are able to ...

  • • apply the contents of automation technology 1 ILV practically,
  • • analyze automation tasks from these subject areas and to set up and test them in a laboratory environment, and
  • • document and discuss the results achieved in a laboratory protocol.

Course contents

  • • Laboratory exercise on "Electronic measuring amplifiers"
  • • Laboratory exercise on "Electrical actuators"
  • • Laboratory exercise on "Pneumatical actuators"
  • • Laboratory exercise on "Control Engineering 1" (modelling and systems identification)
  • • Laboratory exercise on "Control Engineering 2" (Closed-loop control of an instable system)

Prerequisites

Content of the ILV "automation technology 1"

Literature

  • • B. Heinrich, P. Linke, M. Glöckler, Grundlagen der Automatisierung, Springer Vieweg, 2. Auflage, 2017
  • • V. Plank, Grundlagen der Automatisierungstechnik kompakt, Springer Vieweg, 2019

Assessment methods

  • Course-immanent performance assessment, protocols, antestate
Business Administration (BWL)
German / kMod
5.00
-
Accounting (RW)
German / ILV
2.00
1.00

Course description

In this sub-module, students acquire basic knowledge in the areas of external and internal accounting.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • to describe the system of double-entry accounting,
  • book simple business transactions,
  • prepare annual financial statements,
  • analyse annual financial statements on the basis of key figures,
  • explain the system of corporate taxation,
  • explain the elements and tasks of cost accounting,
  • list the system components of cost accounting,
  • determine the manufacturing costs of products and draw up an optimal production and sales programme.

Course contents

  • Accounting
  • Bookkeeping
  • Balance sheet analysis
  • Value added tax
  • Taxation of profits
  • Cost accounting

Prerequisites

none

Literature

  • Wala, Baumüller, Krimmel: Accounting, balance sheet and taxes, Facultas
  • Wala: Compact cost accounting, Amazon
  • Wala, Siller: Exam training cost accounting, bookboon
  • Wala, Felleitner: Written training in accounting & finance, Bookboon

Assessment methods

  • Interim tests: 10 points
  • Final exam: 90 points

Anmerkungen

Details see Moodle course

General Management (UF)
German / ILV
3.00
2.00

Course description

In this sub-module students acquire basic knowledge in the fields of normative, strategic and operational management.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • distinguish between different types of corporate goals,
  • distinguish between strategic and operational management,
  • explain tasks and instruments of controlling,
  • describe the advantages and disadvantages of a strong corporate culture,
  • develop strategies for a company from the analysis of strengths, weaknesses, opportunities and threats,
  • analyse the advantages and disadvantages of different forms of organizational structure,
  • optimize business processes,
  • distinguish between intrinsic and extrinsic motivation,
  • distinguish between different leadership theories,
  • explain the tasks and instruments of human resources management.

Course contents

  • Management
  • Company goals
  • Corporate Culture
  • Strategic management
  • Organization
  • Change Management
  • Motivation and Leadership
  • Personnel Management
  • Controlling

Prerequisites

none

Literature

  • Wala, Grobelschegg: Kernelemente der Unternehmensführung, Linde

Assessment methods

  • Interim tests: 10 points
  • Final exam: 90 points

Anmerkungen

Details see Moodle course

Component Design (BAUT)
German / kMod
5.00
-
Design Engineering Tutorial (KOUE)
German / ILV
3.00
2.00

Course description

The aim of this course is to transfer Knowledge when designing in mechanical engineering using a CAD drawing program (SolidWorks), in particular criteria for dimensioning a construction in a functional and standardized manner. The participants acquire knowledge about the use of CAD software and are able to build machine components and carry out projects / construction tasks independently.

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • • To design components or assemblies of technical systems with the help of CAx software (e.g. SolidWorks) in compliance with guidelines and standards.
  • • to create different construction configurations or solution variants.
  • • when designing machine components, select suitable materials from the database in a justified manner.
  • • generate the 2D drawing documents from the drawing templates and the drawing views.
  • • evaluate, document and present the results of a design study.

Course contents

  • • Introduction to SolidWorks software tools; Areas of application, possible uses and limits of application of software tools
  • • Drawing standards (for example ISO and ANSI); SolidWorks Database and Toolbox; Selection and addition of materials; Material database
  • • construction methods; Sketching and drafting; Features; Discharge; Wall; Shaping; Reflection; Pattern creation.
  • • Creation of assemblies; Using smart and mechanical links; Move and rotate components in an assembly

Prerequisites

Based on the module “technical drawing” / CAD

Literature

  • 1. M. Schabacker& S. Vajna (2016) „SolidWorks kurz und bündig“; ISBN 978-3-658-16174-3 (eBook) Springer Verlag.
  • 2. Tutorials befinden sich im Softwarepaket.

Assessment methods

  • 1. 20% participation (consists of 5 exercises, each with 12 points. So, max. 60 points).
  • 2. 80% CSWA-Certified SolidWorks Associate exam (consists of 14 tasks (questions, modeling and creating assemblies) max. 240 points).

Anmerkungen

none

Machine Elements 2 (MEL2)
German / ILV
2.00
1.00

Course description

The sub-module deals with fundamentals of machine elements. The focus is on the selection, dimensioning and calculation of shafts, shaft-hub connections and rolling-element bearings. Selected examples are deepened in the exercise sections

Methodology

Integrative lecture, calculation and group exercises,

Learning outcomes

After passing this course successfully students are able to ...

  • - to explain the mode of operation and the structure of simple machine elements and to dimension them according to the required functions.
  • - to calculate the necessary dimensioning of machine elements taking into account the required safety factors.
  • - to estimate different solutions for the construction of an application and to select solutions accordingly from the point of view of usability and economy.

Course contents

  • T1 ... axles, shafts and journals (application and calculation basis)
  • T2 ... shaft-hub connections (construction details and calculation basis)
  • T3 ... rolling-element bearings (construction details and calculation basis)

Prerequisites

Basic knowledge according to the admission requirements for the course, knowledge from the module statics

Literature

  • - Wittel et al: Roloff/Matek Maschinenelemente, 24., vollst. überarb. Aufl., Vieweg Verlag; 2019
  • Wittel et al: Roloff/Matek Maschinenelemente Aufgabensammlung, 15., vollst. überarb. Aufl., Vieweg Verlag, 2010

Assessment methods

  • Chapter-by-chapter knowledge checks in distance learning through Moodle quizzes (multiple choice). Written knowledge test as a final test in the form of calculation examples, open questions and multiple choice questions.

Anmerkungen

none

Higher Kinetics (KINET)
German / iMod
5.00
-
Higher Kinetics (KINET)
German / ILV
5.00
3.00

Course description

In the presence phase, the course conveys the basics of the kinematics and kinetics of a mass point and spatial kinematics and kinetics of a rigid body. In self-study, this content is deepened on the basis of application examples / exercise examples related to typical technical tasks

Methodology

Integrative lecture, calculation and group exercises

Learning outcomes

After passing this course successfully students are able to ...

  • Define and explain terms of spatial dynamics
  •  Perform spatial kinematic and kinetic calculations of the movement of a mass point and represent its movement in Cartesian, cylindrical and natural coordinates
  •  Perform spatial kinematic and kinetic calculations of the motion of a rigid body
  •  describe the relative movement of a rigid body in translational and rotationally moving reference systems
  •  Derive the axial mass moment of inertia and the moment of deviation of a body about different axes by integration and apply Steiner's theorem
  •  apply the law of work and energy as well as the law of momentum and swirl to a rigid body for general spatial movements
  •  to formulate and explain the principle of virtual work in kinetics and the principle of d'Alembert in the Lagrangian version and obtain the equation of motion directly by deriving the Lagrangian equations
  •  Derive the equation of motion of unddamped and damped oscillation systems and calculate it using energy methods and frequency response calculations

Course contents

  • - Spatial kinematics of a mass point
  • - Spatial kinetics of a mass point
  • - Steiner's theorem
  • - Mass moment of inertia for complex body geometries
  • - Equation of motion for the spatial kinetics of a rigid body
  • - Work and energy for the spatial kinetics of a rigid body
  • - Theorem of momentum and swirl for the spatial kinetics of a rigid body
  • - Lagrange equations
  • - vibrations

Prerequisites

Statics Dynamics Mathematics for Engineering Science 1 Mathematics for Engineering Science 2 Mathematics for Engineering Science 3

Literature

  • - Hibbeler, Russell C.; Mais, G.; Wauer, J.: Dynamik. München: Pearson Studium, 2007
  • - Gross, D., Hauger, W., Schröder, J., Wall, W. A.: Technische Mechanik 3. Berlin: Springer Vieweg, 2015
  • - Dankert, J.; Dankert, H.: Technische Mechanik. Statik, Festigkeitslehre, Kinematik/Kinetik, Wiesbaden: Springer Vieweg, 2013
  • - Böge, A.; Böge, W.: Technische Mechanik. Statik - Reibung - Dynamik - Festigkeitslehre - Fluidmechanik. Wiesbaden: Springer Vieweg, 2015

Assessment methods

  • Chapter-by-chapter knowledge checks in distance learning through Moodle quizzes (multiple choice). Written knowledge test as a final test in the form of calculation examples, open questions and multiple choice questions.

Anmerkungen

none

Mathematics for Engineering Science 3 (MAES3)
German / iMod
5.00
-
Mathematics for Engineering Science 3 (MAES3)
German / ILV
5.00
3.00

Course description

The course „Mathematik für Engineering Science 3“ is supposed to convey mathematical skills and a structured mode of thought. The emphasis lies on Fourier series, Fourier transformation, Laplace transformation, calculus in several variables und partial differential equations.

Methodology

Both face-to-face learning (lecturing, practical exercises) and self-study (preparation and post-processing) are integrated.

Learning outcomes

After passing this course successfully students are able to ...

  • • to explain the concept of approximation by of Fourier polynomials and Fourier series and to compute Fourier coefficients
  • • to explain definition and applications of the Fourier transformation, compute the Fourier transform of signals, explain definition and applications of the Laplace transformation, perform Laplace transformations, and to use the Laplace transformation for solving linear differential equations with constant coefficients
  • • to compute partial derivatives of functions with several variables, in particular to compute gradient, Hesse matrix and directional derivatives, and to determine local extrema of a scalar field
  • • to compute line integrals and multiple integrals
  • • to classify partial differential equations and to solve selected partial differential equations

Course contents

  • Fourier series
  • Fourier transformation
  • Laplace transformation
  • Differential and integral calculus in several variables
  • Introduction to partial differential equations

Prerequisites

Mathematics for Engineering Science 2

Literature

  • Tilo Arens, Frank Hettlich, Christian Karpfinger, Ulrich Kockelkorn, Klaus Lichtenegger und Hellmuth Stachel: Mathematik. Springer Spektrum (aktuell: 4. Auflage 2018).

Assessment methods

  • The basis for the assessment are 10 (online) quizzes, two units of practical exercises and two written tests. The qualitative criteria for practical exercises and tests are an appropriate understanding of the contents and the necessary mathematical skills.

Anmerkungen

none

4. Semester

Name ECTS
SWS
Automation Technology 2 (AUT2)
German / kMod
5.00
-
Automation Technology 2 (AT2)
German / ILV
3.00
2.00

Course description

During this course, the students learn different basic concepts of automation technology. In the course of this lecture, theoretical concepts will be discussed, issues relating to the design of automation components will be discussed and analyzed and finally deepened in exercises.

Learning outcomes

After passing this course successfully students are able to ...

  • describe and discuss the physical principles and technical applications of important sensory systems (resistive, capacitive, inductive, ...).
  • mathematically formulate abstract requirements for binary circuits and to analayze them with the help of truth tables and Karnaugh diagrams.
  • describe the hardware, operation system and important concepts (process image, cyclic processing) of programmable logic controllers, to address physical inputs and outputs, and to design simple SCADA applications.
  • describe the routing of data in networks and to discuss the differences of various network protocols with respect to industrial communication requirements.
  • compare the advantages and disadvantages of various network topologies (star, ring, bus).
  • read and interpret process flow diagrams in the context of industrial automation.
  • describe the organizational and formal steps of an automation project from the planning phase to the approval, and to apply them in an industrial context.

Course contents

  • Sensory systems – physical principles and applications.
  • Binary logic, truth tables and Karnaugh diagrams.
  • States, state transitions and analog signals.
  • Programmable logic controllers – hardware, mode of operation and programming.
  • Networks and industrial communication
  • Network topologies and their advantages and disadvantages
  • Description of industrial processes by process flow diagrams.
  • Planning and implementing automation projects.

Prerequisites

Basic knowledge in electrical engineering. Content of the lectures "Automatisierungstechnik 1" and "Automatisierungstechnik Labor 1".

Automation Technology Laboratory 2 (ATLB2)
German / LAB
2.00
1.00

Course description

During this course, the students learn different basic concepts of automation technology. In the course of the practical laboratory excercises, different automation projects of increasing complexity are planned, implented and tested using state of the art automation hardware and software solutions.

Learning outcomes

After passing this course successfully students are able to ...

  • • apply the contents of automation technology 2 ILV practically.
  • • analyze automation tasks from these subject areas and to set up and test them in a laboratory environment.
  • • analyze the advantages and disadvantages of the used approaches, and to compare them with respect to possible other implementations.

Course contents

  • • Laboratory exercise on "digital signal processing with PLCs (FBD, LD, IL)"
  • • Laboratory exercise on "analog signal processing with PLCs (SCL)"
  • • Laboratory exercise on "parallel processing with PLCs"
  • • Laboratory exercise on "networks for decentral automation solutions"

Prerequisites

Content of the modules "Automatisierungstechnik 1" and "Automatisierungstechnik Labor 1". Content of "Automatisierungstechnik 2" as far as already discussed until the respective excercise.

Industrial Robotics (IROBO)
German / iMod
5.00
-
Industrial Robotics (IROBO)
German / ILV
5.00
3.00

Course description

This course provides an introduction to the design, planning, and simulation of industrial robotics applications.

Methodology

Project-Based Learning.

Learning outcomes

After passing this course successfully students are able to ...

  • • create robot systems and robot peripherals with the help of simulation software (e.g. RobotStudio).
  • • create/kinematicize handling systems and simulate/integrate them in virtual robot systems.
  • • create/ simulate/program coordinating/cooperating robotic systems.
  • • design and simulate various industrial applications with virtual robots (e.g. welding, gluing, coating, etc.) according to actual machine guidelines/standards.
  • • provide the simulation protocol and technical documentation, as well as a simple risk analysis for the robot cells.
  • • present results of the simulation.

Course contents

  • • Methodical approach to the design of robotic systems.
  • • Handling systems, kinematics and robot peripherals.
  • • Multimove robot simulation (multiple cooperating robots).
  • • Coordinating/cooperating robot systems.
  • • Machine guidelines and current standards, VDI methodology.
  • • Simulation and optimization of robot systems.

Prerequisites

Fundamentals of Robotics.

Literature

  • • Pott, A & Dietz, Th. (2020) Industrielle Robotersysteme, E-Book, ISBN 978-3-658-25345-5 Springer Verlag.
  • • ABB AG, 2019, Bedienungseinleitung, RobotStudio 2019.5, Robotics Products, SE-721 68 Västerås..
  • • Slides (script) and videos in the Moodle course
  • • Hesse, S.; Malisa, V.: Taschenbuch Robotik - Montage - Handhabung. Carl-Hanser-Verl, 2010. (FHTW Bibliothek).

Assessment methods

  • See Moodle.

Anmerkungen

For more information, see the Moodle course.

Management and Law (MANRE)
German / kMod
5.00
-
Business Law (RECHT)
German / ILV
3.00
2.00

Course description

This course offers an introduction to Austrian business law with a focus on private law

Methodology

Lecture, self-study, discussion, exercises, case studies, inverted classroom

Learning outcomes

After passing this course successfully students are able to ...

  • describe the structure of the legal system and the relationship between european law and national legislation
  • explain the most important private law framework conditions in business life (e.g. legal subjectivity, contract law, representation, default, damages, etc.) and to be able to estimate their influence on business decisions
  • take into account the special characteristics of B2B business transactions (e.g. obligation to notify defects, etc.) as well as those of B2C business transactions (e.g. consumer protection law, etc.);
  • find legal sources (e.g. court rulings) using databases like the Legal Information System of the Federal Government and to research further relevant literature
  • deal with a legal text and to interpret it on the basis of the canon of interpretation of legal methodology
  • meet the requirements of trade law necessary for a specific business activity
  • conclude contracts
  • assess simple legal issues and to decide whether professional support - such as the involvement of a lawyer or notary – is necessary
  • weigh up the advantages and disadvantages of different legal forms in the course of establishing a company

Course contents

  • Legal system
  • European fundamental freedoms
  • Trade Law
  • Legal forms
  • Company register
  • Law of Contracts
  • Consumer protection law
  • Disruptions in performance (default, warranty)
  • Tort Law

Prerequisites

None

Literature

  • Brugger, Einführung in das Wirtschaftsrecht. Kurzlehrbuch, aktuelle Auflage

Assessment methods

  • Written Exam: 70%
  • Interim tests and cases: 30%

Anmerkungen

None

Project Management (PM)
German / ILV
2.00
1.00

Course description

In this sub-module students acquire basic project management skills.

Methodology

Flipped Classroom

Learning outcomes

After passing this course successfully students are able to ...

  • define the term "project"
  • classify projects by means of suitable criteria
  • divide the project life cycle into different phases with different tasks
  • differentiate between different procedure models, to formulate project goals regarding performance, costs and deadlines
  • document requirements in a requirement specification as well as a functional specification in a comprehensible way
  • distinguish between different forms of project organization and outline their respective advantages and disadvantages
  • to differentiate between different project roles
  • identify professional and social skills of project staff as an essential prerequisite for successful project work
  • identify relevant stakeholders and their expectations of the project
  • outline instruments for developing a beneficial project culture, to design countermeasures for unacceptable project risks
  • draw up project plans (e.g. (e.g. work breakdown structure plan, schedule, time schedule, cost plan, etc.)
  • apply project controlling methods and instruments (e.g. earned value analysis, etc.) for the purposes of schedule and cost control
  • evaluate the effects of changing conditions and customer requirements
  • moderate a project final meeting and write a project final report
  • self-critically reflect on the achieved project results (e.g. (e.g. lessons learned etc.) and to derive improvement potentials for future projects in the sense of knowledge transfer
  • present and defend project results to project stakeholders
  • differentiate between program and portfolio management, to use project management software (Project Libre)

Course contents

  • Project characteristics
  • Project term
  • Project types
  • Project Management
  • Procedure models
  • Project goals
  • Project requirements
  • Phase and milestone planning
  • Project Organization
  • Project roles
  • Project Structure Planning
  • Estimate of expenditure
  • Process and time scheduling (e.g. bar chart, network diagram)
  • Resource and cost planning
  • Project controlling and reporting
  • Project completion
  • Stakeholder Management
  • Risk Management
  • Project Marketing
  • Quality Management
  • Document Management
  • Configuration Management
  • Change Management
  • Contract Management
  • Management of project teams
  • Agile project management
  • Scrum
  • Program Management
  • Portfolio Management
  • Project Management Software
  • International Project Management
  • Project Management Certifications

Prerequisites

None

Literature

  • Timinger, Schnellkurs Projektmanagement, Wiley

Assessment methods

  • Project work: 50%
  • Interim tests: 50%

Anmerkungen

Details see Moodle course

Paradigms of Object-orientation (PARAD)
German / iMod
5.00
-
Paradigms of Object-orientation (PARAD)
German / ILV
5.00
3.00

Course description

Students learn basic concepts of object-oriented programming and also the software implementation on a microntroller board (Raspberry PI) is part of the course.

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • Basic concepts of object-oriented programming
  • Data container
  • Classes and Objects - Attributes, Methods, virtual functions, etc
  • Create and usage of static and dynamic libraries
  • Modelation of simple class diagrams
  • Implementation of state machines

Course contents

  • Memory Management (Stack vs Heap)
  • Classes and objects (Attributes, Methods, virtual functions,...)
  • Dynamic lists
  • Projects and libraries
  • Data coverage and processing on the microcontroller board (Rasperry PI), i.e. reading out and processing sensor data.
  • I/O Filesystem
  • State machine

Prerequisites

Programming Basics (variables, conditions, functions,...)

Literature

  • C++ das umfassende Handbuch - Torsten Will 2020
  • Course slides

Assessment methods

  • Code Reviews
  • Raspberry PI Project
  • Exam
Production Technology (PROD)
English / kMod
5.00
-
Manufacturing Engineering (MANUF)
English / ILV
2.00
1.00

Course description

In this course students acquire basic knowledge in the fields of production engineering according to DIN 8580

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • - to specify essential industrial requirements for manufacturing processes using appropriate technical parameters
  • - to explain selected manufacturing processes from the main groups mentioned in DIN 8580 with regard to basic physical or chemical principles, typical industrial process steps and devices as well as common industrial applications
  • - describe a manufacturing process using one or more of these methods by means of the underlying process flow logic (material flow)

Course contents

  • - Requirements for industrial manufacturing processes (incl. measured variables)
  • - Overview of main groups of manufacturing processes (DIN8580)

Prerequisites

Basic knowledge according to admission requirements for the bachelor’s program

Literature

  • - Förster, R.; Förster, A.: Einführung in die Fertigungstechnik, Springer Vieweg, 2018

Assessment methods

  • Participation, Moodle tests and final examination

Anmerkungen

none

Materials Science (MATSC)
English / ILV
3.00
2.00

Course description

In this course, students acquire the fundamentals of metallic materials

Methodology

Integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • - be able to name material properties.
  • - be able to explain the basic properties of metallic materials (steel, cast iron, aluminium, copper, titanium, magnesium and their alloys) from a scientific and technical point of view and by means of practical industrial examples.
  • - explain the principles of microscopy and electron microscopy.
  • - be able to make a simple material selection of metals.
  • - be able to name metallic materials.
  • - be able to list metallic materials in comparison to plastics and ceramics as well as composite materials with advantages and disadvantages.
  • - be able to explain the basics of mechanical methods for testing materials as well as selected concrete test methods using appropriate technical terms and quantities (tensile test, hardness test, Charpy, Wöhler).

Course contents

  • - Terms (e.g. thermal expansion, modulus of elasticity, ...) and material properties
  • - Atomic decomposition & periodic table, chemical bonds
  • - Structure of metals (krz, kfz, hdp)
  • - Iron-carbon diagram
  • - Steel and cast iron
  • - Aluminium materials
  • - Copper Materials
  • - Titanium materials
  • - Magnesium materials
  • - Alloys, state diagrams
  • - Electrochemistry especially corrosion of metallic materials
  • - Mechanical test methods (tensile test, notched bar impact bending test, hardness test, Wöhler test), PT, MT, VT; UT.
  • - Effects of mechanical stress (e.g. deformation, work hardening)
  • - Interaction of material and production technology, example forging
  • - Basic principles of material selection (presentation of software tools)
  • - Differences between the material classes (metals, plastics, ceramics)
  • - Electron microscopic examination of various materials

Prerequisites

Basic knowledge according to admission requirements for the bachelor’s program

Literature

  • - Ashby, M.F.; Jones, D.R.H.: Engineering Materials 1: An Introduction to Properties, Applications and Design, Elsevier, 2011

Assessment methods

  • Participation and presentation, Moodle tests and final examination

Anmerkungen

none

Semester Project (SEMPR)
English / iMod
5.00
-
Semester Project (SEMPR)
English / PRJ
5.00
3.00

Course description

In this module, the elaboration, project planning and breakdown into work packages in self / team organization should take place on the basis of a technical task. In the module, a practical project from task definition to validation / verification of the results should be carried out independently or as a team through self-determined project management.

Methodology

Integrative lecture, group exercises

Learning outcomes

After passing this course successfully students are able to ...

  • to successfully conceptualize a practice / research project based on a formulated task and, if necessary, to implement it.
  • draw up and implement a project / work plan in the dimensions of time, financial requirements and use of resources.
  • carry out a feasibility study at a suitable time for the project and adapt the project / work plan accordingly as required
  • to create documentation that also meets scientific and technical requirements

Course contents

  • Processing of a subject-specific task, according to the subject area and the level of training
  • Selection and application of suitable project management methods
  • Application of the relevant specific technical principles to achieve the project goals (independently or in a team)
  • Presentation, discussion and critical reflection on the results

Prerequisites

Project Management

Literature

  • Timinger H.: Projektmanagement, (aktuelle Auflage)

Assessment methods

  • Course-immanent performance assessment

Anmerkungen

none

5. Semester

Name ECTS
SWS
Industrial use of robotics (RIE)
German / iMod
5.00
-
Industrial use of robotics (RIE)
German / ILV
5.00
3.00

Course description

The subject of this course is an examination of real case studies from industry. The main focus is on the concrete use of various types of robots as function carriers and their demand-oriented utilization in an automated production process.

Methodology

Expert Talks, Study Cases

Learning outcomes

After passing this course successfully students are able to ...

  • describe a variety of robot applications in the industrial sector
  • identify the appropriate use of robots in an industrial context
  • describe the advantages and disadvantages of a robot-based application in industry

Course contents

  • Introduction, overview, basics of robot-assisted manufacturing processes
  • Use of robotics in the main production groups

Prerequisites

Fundamentals of robotics and automation technology, fundamentals of mechatronic systems, fundamentals of production engineering.

Literature

  • Werkzeugmaschinen Fertigungssysteme: Automatisierung von Maschinen und Anlagen, Weck 978-3-662-10924-3
  • Handbuch Industrie 4.0 Bd.1: Produktion Vogekl-Heuser, 978-3-662-45279-0
  • Handbuch Industrie 4.0 Bd.2: Automatisierung Vogekl-Heuser, 978-3-662-53248-5
Intelligent sensor and actuator systems (INTEL)
German / kMod
5.00
-
Intelligent electric actuators (IEAKT)
German / ILV
3.00
2.00

Course description

In the course of this lecture, students learn different concepts of intelligent electro-actuators. Here, the different concepts are discussed, design topics are discussed and analyzed and deepened using exercises.

Learning outcomes

After passing this course successfully students are able to ...

  • define and explain intelligent electro-actuator concepts that occur e.g. in mobile service robots and autonomous vehicles.
  • discuss and evaluate the advantages and disadvantages of using an electro-actuator system for an assistance system and to select and to design a suitable system.
  • describe and explain electro actor systems treated as examples in the course.
  • describe and explain converters for operating electro actor systems and drives

Course contents

  • Introduction
  • - Classification of intelligent electro-actuators in the automation process
  • - Intelligent electro-actuators for e.g. mobile service robotics and autonomous driving
  • - Overview of intelligent electro-actuators
  • - In-depth study of selected intelligent electro-actuator concepts
  • - converters for operating electro actor systems and drives
  • - mechanics for drives
  • - Application examples
Intelligent sensor systems (ISENS)
German / ILV
2.00
1.00

Course description

Nowadays, automation technology is also finding its way into mobile robotics as well as into the vehicle technology sector. To increase the autonomy of mobile robots, autopilots are increasingly being integrated into robots to allow them to navigate and drive independently. Even in the passenger car sector, there are already first assistance systems available, but real autopilots are not yet expected for the next few years. In this course, students will learn which principles and rules are used to design highly automated or autonomous systems. In particular, one of the key technologies of highly automated systems - reliable sensor technology - will be explained and discussed in detail. Extensive application examples with a special focus on mobile robotics and vehicle technology with current applications and concepts are presented, too.

Methodology

Self-study, interactive lecture with discussion, practice and case studies.

Learning outcomes

After passing this course successfully students are able to ...

  • define and explain the principles of Autonomous or Highly Automated Driving.
  • define, describe and explain intelligent sensor concepts of advanced sensor technology applied in Autonomous Mobile Robots and Autonomous Vehicles, such as monochrome/color camera, infrared camera, time-of-flight, stereo, ultrasonic, GPS and 2D/3D LIDAR.
  • define, describe, and explain the procedure for modeling and calibrating a sensor.
  • discuss and evaluate the advantages and disadvantages of using a physical sensor system for an Autonomous Mobile Robot and select and design a suitable system for it.

Course contents

  • Introduction
  • Principle of highly automated and autonomous driving
  • Monochrome/color camera, infrared camera, time-of-flight, stereo, ultrasound, GPS, 2D/3D LIDAR
  • Modeling, calibration and design of selected sensors
  • Data evaluation chain for an intelligent sensor system
  • Applications and case studies

Prerequisites

Basic knowledge according to the admission requirements for this bachelor's program. Prior knowledge from the modules "Electrical Engineering 1", "Electrical Engineering 2" and "Automation Engineering 1".

Literature

  • Azad, P., Gockel, T. & Dillmann, R., 2007. Computer Vision - Das Praxisbuch. Aachen: Elektor-Verlag.
  • Hesse, S. & Schnell, G., 2009. Sensoren für die Fabrikautomation, Funktion - Ausführung - Anwendung. 4. Auflage. Wiesbaden: Vieweg+Teubner.
  • Teschl, S., MATLAB – Eine Einführung. [online] Wien: FH Technikum Wien, 2013.

Assessment methods

  • Course immanent assessment method, Final examination

Anmerkungen

None

Mechatronic Systems Design (EMS)
German / iMod
5.00
-
Mechatronic Systems Design (EMS)
German / IPRJ
5.00
3.00

Course description

In this course you can apply the basic knowledge you have acquired in your previous bachelor studies in a practical project. Self-organized research-based learning specifically supports the development of subject-related and interdisciplinary competencies. In the context of an in-depth practical project, you will work in a team to solve a problem, create a schedule, define work packages, implement a project and document it in the form of a poster. Previous knowledge from the courses "Scientific Work", "Project Management" as well as the previously completed laboratory and project exercises are relevant. During this course you will present your project in front of a broad audience at the Robotics Day of the FH Technikum Wien. At Robotics Day, BMR students present their project work in front of industry partners as well as students and other visitors.

Methodology

Integrative lecture, group exercises

Learning outcomes

After passing this course successfully students are able to ...

  • - plan a mechatronics project
  • - Carry out a mechatronics project
  • - to get an insight into mechatronic projects from current research

Course contents

  • - Implementation of a mechatronics project (i.e. initiate, plan, control, monitor and complete a project)
  • - Technical project presentation, pitch
  • - create a scientific poster
  • - work in a team on a project
  • - present a mechatronics project in front of a professional audience

Prerequisites

Module: „Semesterproject“, Part-module: “Scientific Writing”

Mobile and service robotics (MSROB)
English / iMod
5.00
-
Mobile and service robotics (MSROB)
English / ILV
5.00
3.00

Course description

This course discusses the foundations of mobile and service robots. The main content of this course is classic mobile robot localization, path planning and path control. The participants learn the main concepts to control a mobile robot relying on traditional methods. During this course several exercises will be implemented by each participant relying on the robot operating system (ROS). Furthermore, they are going to implement and solve a mobile robot problem in a small group.

Methodology

Integrative lecture, exercises, group exercises

Learning outcomes

After passing this course successfully students are able to ...

  • Understand the mechatronic modules of a module robot
  • Calculate and implement the kinematic model of mobile robots
  • Understand problems and solution of a mobile robot
  • Implement intelligent modules for mobile robot navigation

Course contents

  • Modules of a mobile robot
  • Kinematics of mobile robots
  • Path planning with and without maps
  • Foundations of probabilistic robotics
  • ROS

Prerequisites

Math, industrial robots, C++

Literature

  • Siegwart, R. und Nourbakhsh, I.R.; (2004) Introduction to Autonomous Mobile Robots (Intelligent Robots and Autonomous Agents), MIT Press
  • Russell, S., Norvig, P.; (2012) Artificial Intelligence: A modern approach, Pearson

Assessment methods

  • Course-immanent performance assessment
Research and Communication Skills (COMM3)
German / kMod
5.00
-
Communication and Culture (KOKU)
German / UE
2.00
1.00

Course description

The course introduces the basics of communication and conversation and provides possibilities of appropriate behavior in different professional communication situations (e.g. conflicts). Within the framework of the course, students deal with the phenomenon "culture" and develop strategies for action in intercultural contexts.

Methodology

About corresponding examples, case studies and workshop units, which mainly refer to the short videos.

Learning outcomes

After passing this course successfully students are able to ...

  • to analyze communication behavior using relevant models (e.g. Schulz v. Thun, transaction analysis) and to develop own strategies for conversation-enhancing behavior (e.g. report)
  • explain the different stages of a conflict (e.g. according to Glasl's escalation model) on a case-by-case basis and develop appropriate courses of action for conflict situations
  • to explain levels of culture (e.g. behavior, beliefs) using concrete examples; to develop situationally appropriate options for action (intercultural competence) for dealing with cultural differences

Course contents

  • Communication and conversation management
  • Conflict Management
  • Cultural Theory
  • Interculturalism

Prerequisites

no

Literature

  • Doser, Susanne: 30 Minuten Interkulturelle Kompetenz, 5. Aufl. 2012
  • Glasl, Friedrich: Selbsthilfe in Konflikten, 8. Aufl. 2017
  • Greimel-Fuhrmann, Bettina (Hrsg.): Soziale Kompetenz im Management, 2013
  • Weisbach, Christian-Rainer / Sonne-Neubacher, Petra: Professionelle Gesprächsführung, 9. Aufl. 2015

Assessment methods

  • LV-immanent

Anmerkungen

no

Scientific Writing (WIA)
German / ILV
3.00
2.00

Course description

The course prepares students for the writing of scientific papers, especially the Bachelor thesis.

Methodology

integrated course

Learning outcomes

After passing this course successfully students are able to ...

  • • to explain different types of scientific texts.
  • • to explain the standards that characterize scientific work.
  • • to outline topics and formulate research questions.
  • • to select and apply working methods for the chosen questions.
  • • to structure a scientific work in a formally correct way.
  • • to write a proposal (exposé, disposition) for a seminar paper or bachelor thesis.
  • • to conduct (literature) research, to evaluate sources and to cite them according to scientific standards.
  • • to explain and implement formal and linguistic requirements of a scientific text.
  • • to understand presentations of basic descriptive statistics and to select and apply meaningful methods to one's own questions.

Course contents

  • • Scientific criteria
  • • Methods and theories regarding knowledge acquisition
  • • Types of scientific texts as well as variations in structure and composition
  • • Guidelines to ensure good scientific practice
  • • Searching for and narrowing down topics
  • • Formulation and operationalization of research questions
  • • Strategies of source assembly
  • • Documentation of sources
  • • Proposal (Exposé, Disposition)
  • • Scientific writing style and basic argumentation
  • • Formal design of scientific work
  • • Methods, fields of application and interpretation of descriptive statistical procedures.

Prerequisites

none

Literature

  • Skern"Writing Scientific English. A Workbook" 2011, FacultaswuvUTB.; Theuerkauf, J. (2012). Schreiben im Ingenieurstudium. UTB GmbH.

Assessment methods

  • The basis for the assessment is a test.

Anmerkungen

none

Robot Design (AURO)
German / iMod
5.00
-
Robot Design (AURO)
German / ILV
5.00
3.00

Course description

Robots have become an integral part of today's industrial landscape as application-specific tools with a wide range of use. Welding, painting, palletizing robots, and many others already populate large areas of modern production lines. Robots must always be designed and programmed for specific applications. In previous courses, students learned how to operate industrial robots and how to use them for specific tasks. In this course, students go a step further and learn not only about the structure and description of robot kinematics, but also about basic methods of forward, inverse and velocity kinematics, which form the basis for the design of robots.

Methodology

Acquisition of theoretical knowledge through self-study Verification of what has been learned in self-checks Consolidation of what has been learned in the classroom sessions Practical application of what has been learned in the classroom sessions via exercises and discussion

Learning outcomes

After passing this course successfully students are able to ...

  • Describe concepts of robot kinematics in their own words,
  • Describe the kinematic structure of robots in their own words,
  • Apply mathematical principles to describe robot kinematics,
  • Determine the degrees of freedom of a robot using the Grübler formula
  • To solve the forward kinematics using Euler angles or according to Denavit-Hartenberg,
  • Determine the linear and angular velocities of the end effector using the Jacobi matrix,
  • Describe procedures for solving inverse kinematics in their own words,
  • Solve inverse kinematics and
  • Understand path planning problems.

Course contents

  • Kinematic structure of robots
  • Degrees of freedom of robots
  • Mathematical basics for the description of robots (transformation matrices, coordinate transformations in 2D and 3D, homogeneous coordinates)
  • Forward kinematics (with Euler angles and Denavit-Hartenberg)
  • Velocity kinematics
  • Inverse kinematics (geometric and numerical methods)
  • Path planning

Prerequisites

Prior knowledge from completed modules, especially: Grundlagen der Mechatronik und Robotik Mathematik für Engineering Science 1 and 2

Literature

  • Lecture notes
  • K. M. Lynch und F. C. Park, Modern Robotics. Cambridge University Press, 2017.

Assessment methods

  • 100% written exam

Anmerkungen

none

6. Semester

Name ECTS
SWS
Bachelor Thesis (BA)
German / iMod
8.00
-
Bachelor Thesis (BA)
German / EL
8.00
5.00

Course description

The bachelor paper is an independent written work, which has to be written in the context of a course.

Learning outcomes

After passing this course successfully students are able to ...

  • to apply the scientific methods in the respective subject correctly to a technical task and to reflect the results critically.
  • to structure a scientific work in a formally correct way
  • to conduct (literature) research, evaluate sources and cite them according to the usual scientific standards

Course contents

  • The bachelor paper usually includes an independent examination with a detailed description and explanation of its solution.
Internship (BPRAK)
German / kMod
22.00
-
Internship (BPRAK)
German / SO
21.00
0.00

Course description

FH degree programmes are to be designed in such a way that students can acquire the knowledge, skills and competences relevant to professional practice that they need for successful professional activity. In this context, work experience is a relevant part of the Bachelor's degree programmes.

Learning outcomes

After passing this course successfully students are able to ...

  • to independently solve well-defined subtasks in operational practice and to carry out the necessary documentation
  • to implement the knowledge and skills acquired during their studies.
  • to reflect the operational practice with regard to technical, economic and organizational, as well as management and personality relevant aspects

Course contents

  • The professional internship is accompanied by a seminar in which the students' experiences with the professional internship are reflected.
Review Internship (BPREF)
German / BE
1.00
-

Course description

During the seminar accompanying the internship, the experiences and competence acquisition of the students are reflected upon and an internship report is written.

Learning outcomes

After passing this course successfully students are able to ...

  • present the progress of work in a well-structured and target group-oriented manner
  • reflect on the experiences made during the professional internship and to document them in the internship report

Course contents

  • Individual, exemplary specialization in a chosen subject area with high demands on self-organized learning