Institute for International Affairs...1 Table of Contents German A1/ Parts 2 and 3 ..... 2 English for GE Students B2 ..... 4

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Table of Contents

German A1/ Parts 2 and 3 ...................................................................................... 2

English for GE Students B2 ..................................................................................... 4

Basics of International Sales and Business Development ............................................. 7

Business Storytelling .............................................................................................. 8

Intercultural Training for Germany and Bavaria ....................................................... 10

Bavarian Culture .................................................................................................. 12

Cross-Cultural Team Building ................................................................................ 14

Case Study DKMS-Project ..................................................................................... 17

EcoLab-News – News from Ecology and Economy .................................................... 20

Sustainability in Business ...................................................................................... 22

Simplified Microcontroller Programming .................................................................. 24

Introduction to Soil Mechanics ............................................................................... 26

Introduction to Geotechnical Engineering ................................................................ 28

International Contracting ...................................................................................... 30

Database Engineering........................................................................................... 31

Advanced Programming Techniques ....................................................................... 33

Algorithms and Data Structures ............................................................................. 35

Programming 2 .................................................................................................... 37

Computer Vision .................................................................................................. 39

Industry 4.0 ........................................................................................................ 41

Natural Language Processing ................................................................................. 43

Project Management ............................................................................................ 45

Informatics II ...................................................................................................... 47

AI and Software Development ............................................................................... 49

Mobile and Adaptive Human Machine Interfaces ...................................................... 51

A Business process case study in SAP for Beginners ................................................. 53

From Data to Big Data Analysis and Business Intelligence ......................................... 55

Advanced Modelling and Simulation ....................................................................... 57

Advanced Circuits Lab .......................................................................................... 59

Python Programming: Basics and Applications ......................................................... 61

Introduction to the Finite Element Method .............................................................. 63

Design Methodology/CAD ...................................................................................... 65

Introduction to Solidworks (CAD) ........................................................................... 66

Advanced Solidworks (CAD) .................................................................................. 67

State Control and Uncertainty Evaluation in Mechanical Engineering ........................... 68

Additive Manufacturing – more than 3D Printing ...................................................... 70

Introduction to Quality Management ...................................................................... 71

Physics for Engineers – an Introduction .................................................................. 73

Transducer Properties of Functional Soft Matter ....................................................... 75

Innovation Management ....................................................................................... 76

Recycling of Materials ........................................................................................... 77

Computation in C ................................................................................................. 79

Projects in Science and Engineering ....................................................................... 80

Advanced Projects in Science and Engineering ......................................................... 82

Projects in Industrial Engineering ........................................................................... 84

Advanced Projects in Industrial Engineering ............................................................ 86

Institute for International Affairs

2

German A1/ Parts 2 and 3

Course title German A1/ Parts 2 and 3

ECTS 4

Course type Course with exercises

SWS 4

Semester Winter and Summer

Workload in hours 60 hrs

Lecturer Dr. Virginia Wallner

Course objectives

Can understand and use familiar expressions

and very basic phrases aimed at meeting con-crete everyday needs

Can introduce themselves and others and ask

other people questions about their person Can communicate in a simple way if the other

person speaks slowly and clearly and is willing to help

http://www.europaeischer-referenzrahmen.de

Course contents

Grammar

Modal verbs/ sentence brackets Positions of a verb in a sentence Prepositions-Separable verbs

The perfect form with ‘haben/ sein’ Possessives -Dative verbs

The imperative Topics Free time activities

Food stuff and meals Means of transport and vacations

Apartments and houses Parts of the body


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Recommended literature

Menschen. Deutsch als Fremdsprache. Kursbuch A1.1 Hueber. Kapitel 7-12 ISBN 978-3-19-301901-3

Menschen. Deutsch als Fremdsprache. Arbeitsbuch A1.1

mit Audio-CD. Hueber. Kapitel 7-12 ISBN 978-3-19-311901-8

Menschen. Deutsch als Fremdsprache. Kursbuch A1.2 Hueber. Kapitel 13-18 ISBN 978-3-19-561901-1

Menschen. Deutsch als Fremdsprache. Arbeitsbuch A1.2 mit Audio-CD. Hueber. Kapitel 13-18 ISBN 978-3-19-

511901-6

Teaching methods

Partner and group work Explanation of topics by the lecturer

Presentations and discussions Feedback from the lecturer

Listening exercises

Assessment method

Written examination, 90 min.

Language of

instruction

German

Prerequisite

Knowledge of the basic grammar categories in their native language (verbs, nouns, adjectives, subjects, direct objects)

Previous knowledge of ca. 30 Teaching Units (TU)


4

English for GE Students B2

Course title English for General Engineering Students

Level of course

This course is B2, meaning students should already have a basic understanding of the English language.

They should be able to write about and discuss various ideas and concepts.

ECTS 2

Course type Language Training Course

SWS 2

Semester Winter and summer

Workload in hours Total: 60 / In-class: 30 / Self-study: 30

Lecturer Neal O’Donoghue, MA

Course objectives

This course aims to deepen students’ encounter with the English language in a technical context by giving practical

training in specialized vocabulary, grammar and language usage. The four cardinal language skills – listening, speak-ing, reading, and writing – will play an integral role in this

training. The course is designed to be relevant and interesting for

Engineering students and will be adapted to their learning needs and study areas. By the end of the course, participants should have a more

comprehensive understanding of, and enhanced fluency in, the English language in an engineering context.

Course contents

Obligatory topics: Numbers and mathematical operations

Shapes and dimensions

Basic physics and the scientific worldview

Materials and their properties


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Case study on an area related to technology /phys-

ics/engineering

Grammar/ communication skills

Variable content will be determined on the basis of a stu-

dent survey conducted in the first session. Current world events (including news events and popular culture) and recent technological innovations may be used

as a basis for discussions.

Teaching methods

Teaching methods focus on improving the four cardinal language skills and include group discussions and group

projects; individual work; mini-presentations; role-plays; close reading and listening activities; dictation; grammar

games; and various follow-up viewing and writing activi-ties. Work not completed in class should be done at home. Self-

study assignments will be set on a weekly basis.

Assessment method

Written exam (60 min + listening section)

No dictionaries are allowed. Exam structure:

- Part 1: Listening comprehension(s) 2-5 minutes

- Part 2: Reading comprehension(s) - Part 3: Vocabulary and technical content - Part 4: Grammar (maximum 10% of total exam

points, excluding writing exercise) - Part 5: Writing composition (150-200 words)

The exam will be based on topics covered during the se-mester.


Astley, Peter, and Lewis Lansford. Engineering 1: Student's Book. Oxford: Oxford UP, 2013. Print. Bauer, Hans-Jürgen. English for Technical Purposes. Berlin:

Cornelsen, 2000. Print. Bonamy, David. Technical English 4. Harlow, England: Pear-son

Education, 2011. Print. Bonamy, David, and Christopher Jacques. Technical English 3.

Harlow: Pearson Longman, 2011. Print. Brieger, Nick, and Alison Pohl. Technical English: Vocabulary and

Grammar. Oxford: Summertown, 2002. Print. Dummett, Paul. Energy English: For the Gas and Electricity August 2017


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Industries. Hampshire: Heinle, Cengage Learning, 2010.

Print. Dunn, Marian, David Howey, and Amanda Ilic. English for Mechanical Engineering in Higher Education Studies Course-

book. Reading: Garnet Education, 2010. Print. engine: Englisch für Ingenieure. <www.engine-magazin.de>

(Darmstadt). Various issues. Print. Foley, Mark, and Diane Hall. MyGrammarLab. Harlow: Pear-son,

2012. Print. Glendinning, Eric H., and Norman Glendinning. Oxford English

for Electrical and Mechanical Engineering. Oxford: Oxford UP, 1995. Print. Glendinning, Eric H., and Alison Pohl. Technology 2. Oxford:

Oxford UP, 2008. Print. Heidenreich, Sharon. English for Architects and Civil Engi-neers.

Wiesbaden: Vieweg + Teubner Verlag, 2008. Print. Ibbotson, Mark. Cambridge English for Engineering. Cam-bridge:

Cambridge UP, 2008. Print. Ibbotson, Mark. Professional English in Use. Engineering: Technical English for Professionals. Cambridge: Cambridge

UP, 2009. Print. Markner-Jager, Brigitte. Technical English: Civil Engineering

and Construction. Haan-Gruiten: Verl. Europa-Lehrmittle, 2013. Print.

Murphy, Raymond. English Grammar in Use. Cambridge: Cam bridge UP, 2004. Print. Schafer, Wolfgang. Construction Milestones: Englisch Fur

Bau-, Holz- Und Anlagenberufe. Stuttgart: Klett, 2013. Print. Wagner, Georg, and Maureen Lloyd. Zorner. Technical Gram-

mar and Vocabulary: A Practice Book for Foreign Students. Berlin: Cornelsen, 1998. Print.

Language of instruction

English

Prerequisite B1 / A-levels / school leaving certificate giving right of en-

try to higher education / 7-9 years of English


7

Basics of International Sales and Business Development

Course title Basics of International Sales and Business Development

Course ID 268

ECTS 2

Course type Lecture with group work and presentations

SWS 2


Lecturer Ibrahim Waked

Course objectives

General knowledge of international sales and strategic

business development mechanisms. As well as profound analysis of practical case studies.

Course contents

Basics of sales and business development

Analysis of market potential including cultural & po-litical aspects, correlation between microeconomic and demographic aspects, (PESTELO analysis)

Relevancy of world bank reports on general eco-nomic performance and their implementation in

company BD strategy Market entry and risk management


Strategic Management by Richard Lynch von Pearson Longman

Business Development Management By Lutz Becker, Walter Gora, Tino Michalski

Teaching methods Lecture with integrated project development examples

Assessment method

Presentation and seminar paper

Language of

instruction

English


8

Business Storytelling

Course title Business Storytelling

Course ID 296

ECTS 2

Course type Elective

SWS 2



Lecturers Diego and Raphael Fiche

Course objectives

At the end of this course, students will be able to:

Recognize key elements that go into persuasive sto-

rytelling Identify types of stories and their purposes

Create compelling stories to achieve business goals Apply acquired knowledge to develop a compelling

story to persuade others to think or act in a differ-

ent way.

Course contents

Introduction to Business Storytelling

Power of Business Stories: when and why to tell them

Types of Business Stories and Their Purposes

Structuring Your Story to Engage the Audience Storytelling techniques

Enhance Your Storytelling Skills

Recommended

literature

Janis Forman (2013), Storytelling in Business: The Au-thentic and Fluent Organization

Seth Godin(2005), All Marketers Are Liars


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Teaching methods

Lectures Group work

Case studies Presentation Exercises

Assessment method

Class workshops / presentation / case studies / seminar paper


English

Prerequisites None


10

Intercultural Training for Germany and Bavaria

Course title Intercultural Training for Germany and Bavaria

ECTS 1


SWS 1


Workload in hours 30 hours

Name of Instructor Lisa Werner

Course objectives

Participants get an understanding of the different theories of “culture” and learn about stereotypes and traditions in

Bavaria. Furthermore, the participants get information on Germany and Bavaria as well as the Deggendorf Institute of Technology.

Course contents

I. Culture (theroies) II. Customs and Rituals in Germany/Bavaria

III. Information on Germany and Bavaria and the DIT IV. Quiz and Presentation V. Culture Shock

Recommended

literature

Bolten J. und Ehrhardt C., Interkulturelle Kommunikation, Verlag Wissenschaft & Praxis 2003;

Bolten J, Einführung in die interkulturelle Wirtschaftskom-munikation, Vandenhoeck & Ruprecht 2007

Teaching methods

The course is organized according to four pillars:

1. Culture

2. Customs and Rituals 3. Information on Germany/Bavaria


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4. Culture Shock

Whereas hard facts are taught in a classical lecture style, students will do lots of role-plays, critical incidents, short

movies and do a quiz.

Assessment method Participation, Quiz and Presentation


English/German

Prerequisite None


12

Bavarian Culture

Course title Bavarian Culture

Course ID 229

SWS 2


ECTS 2



English

Name of lecturer Jennifer Hauer

Course objectives

Participants get a deeper understanding of the traditional and contemporary Bavarian culture by integrating

knowledge about customs, language, and history with cul-turally routed events.

Course contents

1. Hard facts

1.1. History 1.2. Demographics

1.3. Geography 2. Customs and rituals 2.1. Traditional

2.2. Contemporary 3. Language

4. Events

Teaching methods

The course is organized according to four pillars: 1. Hard Facts 2. Customs and Rituals

3. Language 4. Events

Whereas hard facts are taught in a classical lecture style, students should experience aspects of the culture in a lively


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manner through knowledge dissemination of cultural ex-

perts, off-campus seminars at events of traditional cultural origin, as well as learning and engaging in cultural rituals

themselves. The aim is to deepen and complement the con-tents taught in the Orientation Week.

Recommended

literature

Jonas, B., Gebrauchsanweisung für

Bayern, Piper Verlag, 2007

Assessment methods

Seminar paper

Prerequisites

Participants should have attended the introductory Intercul-tural Training during the Orientation Week.


14

Cross-Cultural Team Building

Course title Cross-Cultural Team Building Workshop

Lecturer Prof. Dr. Johann Nagengast


SWS 2


ECTS 2

Assessment method

Seminar paper

Course language English

Course objectives

Globalisation demands that managers possess the basic skills required to work together in international teams. Many companies actively encourage the development of these

skills through teambuilding or team development programs. Especially for change management, team development

plays an increasingly important role. Here the critical goal is to optimise how the group members work together as a

team. Key factors affecting a team’s success include organ-isation, structures, processes, culture and relationships.

International Team Building is conducted at the beginning

of the semester as a three day off-campus seminar. The hands-on, outdoor training gives the students intensive ex-

posure to the multifaceted nature of group dynamics.

By working together to solve complex problems and through structured feedback sessions, the participants become sen-

sitised to the rolls they assume in group interactions, to the limitations imposed by the German and their own cultures,

and to the conditions required for effective team work.


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The course supports the integration of foreign students into

campus and social life and helps build lasting working rela-tionships among all participants.

The skills of giving and receiving of feedback are learned in the protective atmosphere of small groups through intensive exchanges between instructors and participants. This leads

to improved observation and communication skills.

Moreover, the group members continually switch roles. This

promotes a deeper understanding of social interaction, helps members to reflect on their contribution to the group process, encourages members to experiment with new be-

havioural concepts, and improves the group’s capacity to co-operate and perform. Final feedback rounds offer the

possibility to align the members’ self-images with the per-ception others have of them, to reduce “blind spots”, to in-crease self-confidence and their ability to reflect.

The capacity to give appropriate feedback in various situa-tions, to monitor one’s self image as well as the conse-

quences of one’s own behaviour form the basis for a suc-cessful career in management.

Course contents

Group dynamics, processes and structures in groups; Roles in groups (roles in tasks and supporting roles); Group lead-ership; Effect of one’s actions in groups; The “give and take” of feedback; Self-image and how others see you; Commu-nication levels (content versus relationship); Conditions for successful co-operation; Cultural influences on teamwork.

Note: The main emphasis of this course is not the convey-ance of theoretical knowledge, but rather learning directly

from experience. The theories on which the intervention and evaluation sessions are based are taught in the course “Hu-man Resources Management”.

Teaching methods

This course is organised as an interactive experience and activity based training program. With the help of complex

tasks, timed interaction activities combined with elements of surprise, classical outdoor training exercises, moderated feedback and reflection sessions, participants are taught the

necessary conditions for effective teamwork.

The teaching methods are based on the principles of self-

organised learning. The instructors define their roles in terms of Schein’s model of process consulting.


16

They intervene by questioning the participants in a manner

designed not only to examine their perspectives, but to in-troduce new perspectives and stimulate the group’s creative

process.

The responsibility for these process remains with the partic-ipants.

In the context of the learning environment, the students enjoy the opportunity to increase their observation, com-

munication, co-operation, self-reflection, teamwork and management skills as well as their self-confidence.

In addition, the course offers the students the chance to

network and develop sustainable work relationships at the start of their studies.

Suggested Literature

Baron, R. S.: Group Process, Group Decision, Group Action, 2nd. Ed., Buckingham, 2003;

Buchanan, D., Huczynski, A.: Organizational Behavior, 5th

Ed., Harlow, 2004;

Wagner, M., Waldmann, R.: Vom Outdoor-Training zur Tea-

mentwicklung, Welchen Beitrag leisten Hochseilgarten? in: Jagenlauf, M./Michl, W. (Hrsg.) Erleben und Lernen – Inter-

nationale Zeitschrift fur handlungsorientiertes Lernen, 1/2004

Notes

The weekend seminar is characterised by team teaching in

a mountain hostel. The team consists of Prof. Dr. Nagengast and trained tutors selected from participants in the course

„Train the Trainer“. The tutors make it possible to conduct the training in small „protected“ groups (around 8) and to give qualified feedback.


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Case Study DKMS-Project

Course title Case Study DKMS-Project

ECTS 2


SWS 2

Semester Summer


Lecturer Ms Kathrin Auer, M.A.

Course objectives

Students should obtain the following knowledge within this

course: Successful completion of a defined real project and get-

ting to know project management tools linked to that Creation and implementation of a social media and

press campaign

Getting to know the fundamentals of fundraising Getting to know fundamentals about social business

and non-profit organization

Course contents

1) Project Management Fundamentals of project management, defining pro-

ject goals and further topics related to that Project management tools – Overview over various

methods Stakeholder management Software tools in project management Project phases Project management standards and norms Project staffing Practical implementation of the theory in the given

project 2) Marketing

Basics of press work Creation and Publication of press articles resp. a

press kit within the project


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Creation of a social media campaign via the social

media channels Instagram Facebook, Xing and Twit-ter

Fundamentals of Guerilla Marketing Practical implementation of guerrilla marketing

measures in the project Networking and relationship marketing

3) Social business/ Non profit organizations

Fundamentals of Social entrepreneurship Business models of Social businesses and non-profit

organizations Market overview of non-profit organizations in Ger-

many Current trends, topics and examples in social busi-

nesses 4) Fundraising

Fundamentals of Fundraising The fundraising-pyramid Fundraising via various channels Practical use of our knowledge in fundraising within

the project 5) Setting goals and controlling the project success

Basics regarding the topics controlling and goalset-

ting Defining main and sub goals

Controlling of the concrete project success Tools, tips and tricks for achieving goals Methods for motivation and rewarding

6) Working on practically oriented case studies and exam-ples regarding all course subject

Recommended

literature

Handbuch Fundraising (Michael Urselmann, Hrsg.)

Crashkurs Projektmanagement: Grundlagen für alle Projektphasen (Peipe, Sabine)

Professionelle Pressearbeit: Praxiswissen für Non-Profit-Organisationen (Franck, Norbert)

Professionelles Guerilla-Marketing: Grundlagen – In-

strumente – Controlling Guerilla-Marketing des 21. Jahrhunderts: clever

werben mit jedem Budget

Teaching methods The project will be a nice mixture of project-related lec-

tures and team work on the project.

Assessment method

Seminar paper


English


19

Prerequisite

You don't have to bring anything, except the willingness to

get involved in our project and to deal with topics like fundraising, organizing a hands-on project, getting to

know press relations, (guerrilla) marketing and related topic


20

EcoLab-News – News from Ecology and Economy

Course title EcoLab-News – News from Ecology and Economy

ECTS 2


SWS 2

Semester Summer


Lecturer Prof. Dr. Robert Feicht

Course objectives

Do you want to understand current climate policy issues

and participate in sustainable development? The Fridays for Future movement has proven that properly set infor-

mation will be heard. Together we will develop a kind of "information service" for the European Campus, which in-forms about the latest news, trends and movements in the

field of sustainability and international politics. Methods expertise: In group work, various topics should be devel-

oped in a way that makes them easily understandable and communicable. Professional skills: Current knowledge in the field of sustainability and/or international politics. So-

cial competence: Students work in groups. They learn the dynamics of team work and competences like systemic

thinking, forward-thinking and acting, critical thinking, competence for fair and environmentally friendly action as well as competence in planning and implementing innova-

tive projects.

Course contents

Development and implementation of an "information ser-

vice" (newsletter, posts) in the field of sustainability and/or international politics.

Preparation of current political topics, but also trends and developments in the field of sustainability for different tar-get groups and different media.


21

Teaching methods Group discussion and group work. Summary and presenta-tion of the results.

Assessment method seminar paper and presentation


English

Prerequisite None. Good writing skills and interest in current sustaina-ble and/or political topics would be beneficial.


22

Sustainability in Business

Course title Sustainability in Business

ECTS 2


SWS 2

Semester Summer


Lecturer Ms Janina Beduhn

Course objectives

Methods expertise: Scientific work, cooperative group

work during class, processing and structuring knowledge for discussionProfessional skills: evaluation and reflection on sustainability scenarios in business. Students learn to

question and expand known management theory by apply-ing methods that enable the integration of sustainability

into basic strategy and management processes. Practical relevance is created through the active inclusion of com-pany examples. Social competence: change of perspective

and the ability for self-reflection. Plenary discussions will enable students to reflect on controversial sustainability is-

sues in the corporate environment.


23

Course contents

In times of global change, when megatrends such as cli-mate change, loss of biodiversity and increasing social ten-sions are becoming ever more apparent, sustainable de-

velopment is at the centre of the discussion. Sustainable development starts with each individual, but it is not

enough for private individuals to choose a regional vaca-tion spot and regulate their own meat consumption. Com-panies must also take a stand and assume responsibility -

if only to safeguard their own economic heritage. After all, through the production and use of their products and ser-

vices, they have a major impact on society worldwide, es-pecially in the areas of: Working conditions, human rights, health, environment, innovation, education and training.

The Sustainability in Business course provides basic knowledge about sustainability in the business environ-

ment. The business case of sustainability for companies is developed and concrete methods of sustainability manage-ment are trained. Critical issues in the corporate context

are addressed and discussed.

Recommended

literature The lecture material is comprehensive.

Teaching methods Online lecture, reading material, practical examples, group

discussion, group work and presentation of the result.

Assessment method Written examination, 60 min.


English

Prerequisite Basic knowledge in business and interest in sustainability

issues

Civil and Construction Engineering and Environmental Technology

24

Simplified Microcontroller Programming

Course title Simplified Microcontroller Programming

ECTS 2

Course type Lecture with practical exercises

SWS 2


Workload in hours

Total: 60 / In-class: 30 / Self-study: 30

Lecturer Johann Gerner

Course objectives

In almost all areas of technical installations, microcontrol-

lers constitute the core of control and regulating engineer-ing. By means of various university initiatives, systems have been developed that are both inexpensive and easy

to program and therefore they are especially suitable for students who do not have an extensive basic knowledge in

the field of electrical engineering. Based on the simple de-velopment system “Arduino”, students will learn how can be solved technical problems in the various engineering

disciplines with the aid of software and hardware. Here, the handling of hardware-based programming is exercised

and solution approaches are developed that are presented in the various sensors and actuators.

Course contents

• Introduction: presentation of the development system Arduino and its sub-systems • Testing and analysis of existing sample programs under

consideration of special problem cases • Reading and implementing Fritzing diagrams and wiring

diagrams • Inclusion and application of external program libraries • Application programming of different sensors and their

characteristics


25

• Control of different actuators and introduction to the ap-

plied technology • Program development for simple measurement and con-

trol applications • Information about current development trends in micro-controller engineering


Massimo Banzi, Arduino fur Einsteiger (2012); O’Reilly Simon Monk, Programming Arduino Next Steps: Going

Further with Sketches

Teaching methods Seminar-like lessons and practical tasks in the laboratory

Assessment method Presentation of project results

Language of

instruction

English

Prerequisites Fundamentals of Informatics, experience with Windows


26

Introduction to Soil Mechanics

Course title Introduction to Soil Mechanics

ECTS 2

Course type

Lecture and exercises

Presentations Discussion

SWS 2


Lecturer Prof. Dr.-Ing. Parviz Sadegh Azar

Course objectives

The objective of this course is to introduce the subject of soil mechanics and provide the basics of geotechnical engi-

neering. Some of the important topics that students will learn during

the course: soil structure and grain size; identification and classification of soils for engineering purposes; physical and

engineering properties of soils; fundamental behaviour of soils subjected to various forces; groundwater and seepage through soils; compaction; consolidation; shear strength;

and bearing capacity of soils. Students will get acquainted to several geotechnical prob-

lems and documentation of geotechnical observations. Upon successful completion of the course, students should be able to apply fundamentals of soil mechanics and principles

of geotechnical engineering in the analysis, design, and con-struction of civil engineering projects.

Course contents

The subject will give an introduction to:

Classification of soil materials Stresses and strain in soil

Shear strength of soil Lateral earth pressure

Primary settlement of soil and calculations Slope stability Bearing capacity of foundations

Uplift and hydraulic failure


27

Recommended

literature

R.F. Craig. “Soil Mechanics”, Van Nostrand Reinhold Com-pany.

B. M. Das, “Principles of Geotechnical Engineering”, PWS-KENT.

David F. McCarthy, “Essentials of Soil Mechanics and Foun-

dations” Prentice Hall. R. D. Holtz, W. D. Kovacs, and T. C. Sheahan “An intro-

duction to Geotechnical Engineering”, Prentice-Hall.

T. W. Lambe and R. V. Whitman, “Soil Mechanics”, John Wiley & Sons, Inc.

C. Liu and J. B. Evett, “Soils and Foundations”, Prentice Hall.

S. Prakash, “Fundamentals of Soil Mechanics”, S.P. Foun-dation

K. Terzaghi and R. B. Peck, “Soil Mechanics in Engineering

Practice”, John Wiley & Sons, Inc.

Teaching methods

This course is a comprehensive course of integrating the-ory and practice.

For each of the above topics students will • first understand the theoretical background (lecture),

• then the students get to solve a related problem (exer-cise), • followed by practical application samples and further

cases of using the theoretical background in practice



English

Prerequisite Mathematics


28

Introduction to Geotechnical Engineering

Course title Introduction to Geotechnical engineering

ECTS 2

Course type Lecture and exercises Presentations

Discussion

SWS 2


Lecturer Prof. Dr.-Ing. P. Sadegh Azar

Course objectives

This unit of study aims to introduce you to the fundamen-

tals and basic techniques used in Foundation Engineering. Specifically, it will provide you with the design and con-

struction principles used in Foundation Engineering type structures such as earth retaining structures, sheet piles and shallow footings.

Some of the important topics that students will learn

during the course: 1. Analyse earth retaining structures to determine active, passive and at rest lateral earth pressures (and associated

forces). 2. Design the dimensions of retaining gravity and cantile-

ver walls and assess the stability of these designed walls. 3. Determine the appropriate section of sheet piles and the depth of embedment, maximum moment, and the tension

in tie rod in case of using anchored sheet piles. 4. Analyse bearing capacity of soils under shallow footings.

5. Design shallow footings based on dimensions, thickness, area and length. 6. The basics for determining the bearing capacities of sin-

gle piles.

Students will get acquainted to several geotechnical prob-lems and documentation of geotechnical problems. Upon

successful completion of the course, students should be able to apply fundamentals of foundation engineering

and principles of geotechnical engineering in the analy-sis, design, and construction of civil engineering projects.


29

Course contents

The subject will give an introduction to:

Introduction to design according to EC 7

Bearing capacity of foundations Excavation shoring methods Introduction to pile design

Uplift and hydraulic failure Slope stability

Recommended

literature

B. M. Das, “Principles of Geotechnical Engineering”,

David F. McCarthy, “Essentials of Soil Mechanics and Foun-dations” Prentice Hall.

R. D. Holtz, W. D. Kovacs, and T. C. Sheahan “An intro-

duction to Geotechnical Engineering”, Prentice-Hall. Braja M. Das, Principles of Foundation Engineering, Sixth

Edition, 2007.

C. Liu and J. B. Evett, “Soils and Foundations”, Prentice Hall.

Donald, P. Coduto, Foundation Design Principles and Prac-tices, Second Edition.

Bowles, Foundation Analysis and Design

Teaching methods

This course is a comprehensive course of integrating the-ory and practice.

For each of the above topics students will • first understand the theoretical background (lecture),

• then the students get to solve a related problem (exer-cise), • followed by practical application samples and further

cases of using the theoretical background in practice

Assessment method Written exam


English

Prerequisite Soil mechanics


30

International Contracting

Course title International Contracting

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr.-Ing. Gerd Maurer

Course objectives

Basic understanding of procedures in International Con-

tracting of Construction Projects including Tendering & Project Management Methods

Course contents

Tendering & Contracting Construction Management

Cost Estimation Scheduling Techniques


FIDIC

Teaching methods Lesson

Assessment method Paper


English

Prerequisite None

Computer Science

31

Database Engineering

Course title Database Engineering

ECTS 5

SWS 4


Workload in hours In-class: 60 hrs. / Self-study: 90 hrs / Total: 150 hrs

Lecturer Prof. Dr. Udo Garmann

Course objectives

After this module students should

be able to describe the database design process,

know the elements of the Entity-Relationship-Model,

can build an Entity Relationship Model for a specific case,

can normalize a database design,

be able to manage a database through a database management system,

be able to query a database using SQL,

know the core components and functionalities of a database management system.


Conolly, Thomas M.; Begg, Carolyn E.: Database Solutions -

A step-by-step guide to building databases. 2nd Edition. Har-low, Essex: Pearson Education Limited, 2004

Conolly, Thomas M.; Begg, Carolyn E.: Database systems - A practical approach to design, implementation, and manage-

ment. 4th edition. Addison-Wesley, an imprint of Pearson Ed-ucation, 2005

Teaching methods

Classes with exercises and practical training Course and document management through E-Learning Sys-tem iLearn

Computer Science

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Assessment

method



English

Prerequisite

Basics in Computer Science

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33

Advanced Programming Techniques

Course title Advanced Programming Techniques

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Andreas Fischer

Course objectives

Students of this course extend their software programming abilities by creating and maintaining a complex computer

program in a development team. They learn the interplay between the design, maintenance and extension steps as

applied to a complex software project.

Course contents

Using versioning control software The software development process

Requirements analysis Software architecture with UML

Software design patterns Unit tests Test-driven development

Recommended

literature

R. Martin: Clean Code: A Handbook of Agile Software Craftsmanship, 1. Auflage, Prentice Hall 2008.

M. Fowler: Patterns of Enterprise Application Architecture, 1. Auflage, Addison Wesley 2002.

E. Gamma / R. Helm / R. Johnson / J. Vlissides: Design Patterns. Elements of Reusable Object-Oriented Software,

1. Auflage, Prentice Hall 1994.

A. Hunt / David Thomas / W. Cunningham: The Pragmatic Programmer. From Journeyman to Master, 1. Auflage, Ad-dison Wesley 1999.

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Teaching methods Lecture with practical exercises

Assessment method Written examination (90 min.)


English

Prerequisite Basic education in computer science, proficiency in an ob-ject-oriented programming language

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Algorithms and Data Structures

Course title Algorithms and Data Structures

ECTS 5

Course type Lecture and lab

SWS 4

Semester Summer


Lecturer Prof. Dr. Patrick Glauner

Course objectives

The aim of this class is to provide an introduction to one of

the most important foundations of a computer science de-gree: algorithms and data structures. A data structure en-ables a programmer to structure data into conceptually

manageable relationships. An algorithm is a finite se-quence of well-defined, computer-implementable instruc-

tions to solve a class of problems or to perform a compu-tation. Algorithms often operate on data structures. This course provides a journey through computer science. Stu-

dents will acquire a solid foundation in how the most im-portant algorithms and data structures work. They will also

learn how to design efficient algorithms and data struc-tures.

Course contents

Introduction: algorithm definition, classification of algorithms

Graphs: graph definitions, applications in computer

science, shortest path, lowest cost, A* Complexity analysis: time complexity, O, Omega,

Theta, o and O tilde notations, space complexity Lists: arrays, dynamic arrays/lists, amortization,

fundamental operations, stacks, queues, linked lists

Recursion: search, divide and conquer, recurrence relations, master theorem backtracking, dynamic

programming Sorting: bubble sort, selection sort, insertion sort,

merge sort, quicksort, lower bounds

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Trees: binary trees, traversing, advanced types of

trees, decision trees Maps and hash tables: key-value stores, hashing, collision handling

Selected algorithms: fast matrix multiplication, string matching, prime numbers

Quantum computing: qubits, quantum logic gates,

quantum computers, quantum algorithms


1. M. Goodrich et al., "Data Structures and Algorithms in Python", John Wiley & Sons, 2013.

2. R. Sedgewick, "Algorithms", Addison Wesley, fourth edition, 2011. 3. M. Sipser, "Introduction to the Theory of Computa-

tion", Cengage Learning, third edition, 2012.

Teaching methods Lecture and lab

Assessment method

Written examination 90 min.

Language of

instruction

English

Prerequisite Programming foundations

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Programming 2

Course title Programming 2

ECTS 5


SWS 4

Semester Summer



Course objectives

The aim of this class is to provide students with advanced

programming concepts, modeling methods, different pro-gramming paradigms and various tools. Students will ac-quire a more solid foundation in how to design and imple-

ment software. They also learn how to use professional software tools. Doing so, they will be able to write high-

quality software in teams.

Course contents

Introduction: revision of fundamental programming

concepts, Python primer Tools: IDEs, interactive environments, Jupyter note-

books, revision control, debuggers, timing code,

profilers, Cython, loggers, work package trackers, bugtrackers, build chains

Code conventions: style guides, clean code Modeling: use case diagrams, activity diagrams,

class diagrams, object diagrams

OOP: decorators, refactoring, design patterns Testing: unit tests, test-driven development, test

coverage Memory management: stack and heap, manually

freeing memory, garbage collection, interning

Exception handling: raising and catching, asserts File handling: reading and writing, deleting, seriali-

zation, JSON, pickle, tabular data Multithreading: parallelism and concurrency, creat-

ing threads, global interpreter lock (GIL)

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Logic programming: logic, declarative programming,

Prolog


1. S. Chacon and B. Straub, "Pro Git", Apress, 2nd edi-tion, 2014. 2. M. Goodrich et al., "Data Structures and Algorithms

in Python", John Wiley & Sons, 2013. 3. C. Larman, "Applying UML and Patterns: An Intro-

duction to Object-Oriented Analysis and Design and Iterative Development", 3rd edition, Prentice Hall, 2004.

4. E. Matthes, "Python Crash Course: A Hands-On, Project-Based Introduction to Programming", 2nd

edition, 2019.


Assessment method Written examination 90 min.

Language of

instruction

English


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Computer Vision

Course title Computer Vision

ECTS 5


SWS 4

Semester Summer



Course objectives

The aim of this class is to discuss Computer Vision (CV),

which allows computers to process visual inputs. We deal every day dozens of times with CV, such as facial recogni-tion, real-time translating camera input or auto-tagging

friends in photos. Modern CV algorithms are strongly based on machine learning methods, in particular deep

neural networks. Students will acquire knowledge in CV and be able to elaborate it further in the future, for exam-ple in projects or further studies. Overall, CV is a cutting-

edge field, with many high-pay opportunities for gradu-ates.

Course contents

Introduction: applications, computational models for vision, perception and prior knowledge, levels of vi-

sion, how humans see Pixels and filters: digital cameras, image represen-

tations, noise, filters, edge detection

Regions of images: segmentation, perceptual group-ing, Gestalt theory, segmentation approaches, im-

age compression Feature detection: RANSAC, Hough transform, Har-

ris corner detector

Object recognition: challenges, template matching, histograms, machine learning

Convolutional neural networks: neural networks, loss functions and optimization, backpropagation, convolutions and pooling, hyperparameters, AutoML,

efficient training, selected architectures

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Image sequence processing: motion, tracking image

sequences, Kalman filter, correspondence problem, optical flow

Foundations of mobile robotics: robot motion, sen-sors, probabilistic robotics, particle filters, SLAM

Outreach: 3D vision, generative adversarial net-

works, self-supervised learning

Recommended

literature

1. R. C. Gonzalez and R. Woods, "Digital Image Pro-cessing", Pearson, 3rd edition, 2018.

2. I. Goodfellow, Y. Bengio and A. Courville, "Deep Learn-ing", MIT Press, 2016.


Assessment method

Project


English

Prerequisite Programming foundations, multivariate calculus

Computer Science

41

Industry 4.0

Course title Industry 4.0

ECTS 2.5

Course type Lecture and seminar

SWS 2

Semester Summer



Course objectives

This class provides students with an introduction to Indus-

try 4.0 - the Fourth Industrial Revolution, which is the on-going automation of traditional manufacturing and indus-trial practices, using modern smart technology. Students

will acquire a solid foundation in how large-scale machine-to-machine communication (M2M) and the internet of

things (IoT) are integrated for increased automation, im-proved communication and self-monitoring and production of smart machines that can analyze and diagnose issues

without the need for human intervention. As an outcome, students will be able to work on real-world problems in In-

dustry 4.0. Overall, Industry 4.0 is a cutting-edge field, with many high-pay opportunities for graduates.

Course contents

Introduction: history of the industrial revolution, digital transformation of industry, cyber-physical systems, use cases

Foundations of industrial automation: automation pyramid, ERP systems, MES, SCADA and HMIs,

PLCs, sensors and actuators Introducing Industry 4.0: smart factories, main

characteristics, value chain, design principles, build-

ing blocks, challenges Selected research papers

Computer Science

42

Recommended

literature

1. A. Gilchrist, "Industry 4.0: The Industrial Internet of Things", Apress, 2016.

2. P. Glauner and P. Plugmann (Eds.), "Innovative Tech-nologies for Market Leadership: Investing in the Fu-

ture", Springer, 2020. 3. G. Veneri and A. Capasso, "Hands-On Industrial In-ternet of Things: Create a powerful Industrial IoT in-

frastructure using Industry 4.0", Packt, 2018.

Teaching methods Lecture and seminar

Assessment method Seminar presentation


English

Prerequisite None

Computer Science

43

Natural Language Processing

Course title Natural Language Processing

ECTS 2.5


SWS 2

Semester Summer



Course objectives

The aim of this class is to discuss Natural Language Pro-

cessing (NLP), which allows computers to process human language. We deal every day dozens of times with NLP, such as doing a Google search, spelling correction on a

smartphone, classification of emails as spam or recognition of hand-written characters on mail. Modern NLP algorithms

are strongly based on machine learning methods. Students will acquire knowledge in NLP and be able to elaborate it further in the future, for example in projects or further

studies.

Course contents

Foundations: stemming, stop words, n-grams

Text classification: naive Bayes, spam filtering, lan-guage detection, logistic regression

Spelling correction Search engines: ranking, vector space model, Pag-

eRank

Outlook: embedding, recent advances in NLP

Recommended

literature

1. C. Bishop, "Pattern Recognition and Machine Learn-

ing", Springer, 2006. 2. C. Manning, P. Raghavan and H. Schütze, "Introduc-

tion to Information Retrieval", Cambridge University Press, 2008. 3. S. Russel and P. Norvig, "Artificial Intelligence: A

Modern Approach", Prentice Hall, third edition, 2009.

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Assessment method Written examination 45 min.


English


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45

Project Management

Course title Project Management

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Christina Bauer

Course objectives

The students get to know the most important content of

(IT) project management. After the course the students are able to plan and carry out a project with appropriate methods.

Course contents

Contents include but are not limited to:

Phases of a project and documentation Requirements engineering

Project controlling Static and agile methods


Cleland, D. I., & Ireland, L. R. (2008). Project man-ager's handbook: Apply best practices across Global

industries. McGraw-Hill. Additional literature will be announced in the course

Teaching methods Combination of lecture, presentation and case studies

Assessment method Written examination, 90 min. and presentation


English

Computer Science

46

Prerequisite none

Computer Science

47

Informatics II

Course title Informatics II

ECTS 5

Course type Lecture

SWS 4

Semester Summer

Workload in hours Total: 150 / In-class: 60 / Self-study: 45 / Virtual: 45

Lecturer Prof. Dr. Gökçe Aydos

Course objectives

The Informatics II aims at providing an in-depth under-standing of the relevant aspects of computational science. After successfully completing the module, students will:

- be confident in Python programming language and how to use it as a tool for data analysis.

- know how to use computation to help data tell a story - be familiar with fundamental principles and methods of

visualization. - know how to use tools widely used by data scientists, such as Jupyter Notebooks etc

- be able to write Python scripts for biomedical ap-proaches.

- know how to use different software tools and know about their application and function.

Course contents

- Advanced Python programming language

- Principles and methods of visualization - Open access tools


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Teaching methods Seminar-like classes, application examples



English

Prerequisite None

Computer Science

49

AI and Software Development

Course title Artificial Intelligence and Software Development

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Cezar Ionescu

Course objectives

AI software development requires knowledge of multiple

programming paradigms. This course introduces the stu-dents to functional, logic, and probabilistic programming with applications to AI. Students will experience each par-

adigm using a different programming language, but they will learn to relate them to the mainstream programming

language Python. After completing the course, the students can

define the programming paradigms used in AI

decide which programming paradigm best fits a problem domain

design solutions using the appropriate programming paradigm

translate the solution using a mainstream program-

ming language (Python)

Course contents

Introduction: AI and software development Introduction to functional programming using

Haskell

Symbolic differentiation as an application of func-tional programming

Implementing search strategies for board games Functional programming in Python Property-based testing in Haskell and Python

Logic and functional programming: dependent types Logic programming and SAT/SMT solvers

Probabilistic programming using WebPPL Probabilistic programming in Python

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50

Recommended

literature

Programming in Haskell 2nd Ed, Graham Hutton,

CUP 2016 Conceptual Programming with Python, Thorsten Al-

ternkirch and Isaac Triguero, Lulu 2019 Type-Driven Development with Idris, Edwin Brady,

Manning 2017

Modelling Agents with Probabilistic Programming Languages, Owain Evans et al., electronic

SAT/SMT by Example, Dennis Yurichev, electronic

Teaching methods Lectures and seminars



English

Prerequisite Undergraduate level courses programming and statistics,

working knowledge of predicate logic.

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51

Mobile and Adaptive Human Machine Interfaces

Course title Mobile and Adaptive Human Machine Interfaces

ECTS 2.5

Course type Lecture

SWS 2 SWS



Lecturer Prof. Dr.-Ing. Marcus Barkowsky

Course objectives

- Students can design, criticize, and implement mobile hu-

man-machine interfaces that meet the guidelines for usa-bility, user experience, and experience quality. - Students understand the visual perception of people with

regard to the development of efficient graphical user inter-faces.

- Students are able to follow the four phases of iterative UX design process including personas, scribbles, wireframes, and usability testing.

- Students know how to implement their design with web technology, progressive web applications and native An-

droid programming.

Course contents

Perception:

- The human eye - Human visual perception - Higher cognitive processes

- Gestalt Theory Human-Machine interaction concepts:

- Cognitive background - Utility, Usability, User Experience - Quality of Experience

Designing for User Experience: - 4 Steps of the design process

- Specific considerations for design on mobile devices - Design principles for interactive Web applications using HTML, CSS, Javascript

Exercise on User Experience Design:

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52

- Designing a sample application

- Refreshing HTML, CSS, Javascript - Frameworks for Mobile Application Development

- Understanding Cordova and implementing the sample application Native Application development with Android:

- Understanding the application life cycle - Tools of Android development

- Guidelines for material design usage - Implementing a sample application


Bruce Goldstein, James Brockmole, "Sensation and Percep-

tion", 2016, 10th edition, Cengage Learning, ISBN: 978-1305580299 Pablo Perea, Pau Giner, "UX Design for Mo-bile", 2017, Packt Publishing, ISBN: 978-1-78728-342-8

Jens Jacobsen, Lorena Meyer, "Praxisbuch: Usability und UX", 2018, Rheinwerk Computing, ISBN: 978-3-8362-

4423-7

Teaching methods Lecture / Exercises

Assessment method

Written examination, 40 min. paper

Language of

instruction

English

Prerequisite Basic Knowledge about Web-Technologies (HTML/CSS/JS) recommended

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A Business process case study in SAP for Beginners

Course title A Business process case study in SAP for Beginners

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Dieter Rummler

Course objectives

It will be shown to beginners in the area of Enterprise Re-source Planning Systems (ERP) the functions of ERP sys-

tems. This is done by carrying out a business process from entering a sales order to its production and delivery. At the

same time the consequences in finance and accounting are shown. This makes connections in business administration visible.

SAP R/3 is used for this. No prerequisites are required for this. The user interface, the handling of SAP R/3 and the

necessary SAP transactions are explained. Essentially, in group work, an SAP case study created by myself is car-ried out by the students on their computers.

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Course contents

What is ERP

User interface and handling of SAP R/3 Case study:

Master data Sales forecast Customer order

MRP run Purchasing the components

Production of the assembly and the final product Delivery of the sales order Invoicing

Incoming payments Finance

Controlling

Teaching methods Lecture / case studies



English

Prerequisite None

Computer Science

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From Data to Big Data Analysis and Business Intelli-

gence

Course title From Data to Big Data Analysis and Business Intelligence

ECTS 5

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Dieter Rummler

Course objectives

This course brings you from Data to Big Data Analysis and

Business Intelligence. You need basic knowledge in mathematics. No program-

ming skills necessary. All used tools you can download for free. In EXCEL we will work with diagrams and Power Pivot ta-

bles, after an introduction to fundamentals in EXCEL. We will enter more intelligence to data with the tool POWER

Business Intelligence (BI). We will add interesting insights to data to find information which are important for our business. We will also look forward to work with artificial

intelligence to find relationships and correlations between data, and we will classify data.

After this course, the student understands the way how to get from pure data from different sources important infor-mation, insights and knowledge for daily and strategic

company decisions.

Course contents

Part 1 – Spreadsheet calculation Basics Addressing

Data maintenance Formula and functions

Reports 1.1. Spreadsheets 1.2. Subtotals

1.3. Diagrams

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1.4. Pivot tables

Part 2 – Bringing data together from different sources Part 3 – Creating web and mobile phone dashboards

Part 4 – Looking for insights Part 5 – Classification of data Part 6 – Adding artificial intelligence to data

Teaching methods Lecture



English

Prerequisite None

Electrical Engineering and Media Technology

57

Advanced Modelling and Simulation

Course title Advanced Modelling and Simulation

ECTS 4

Course type Seminar

SWS 4

Semester Summer

Workload in hours Attendance: 40 / Self-study: 80 / Total: 120

Name of instructor Prof. Dr. László Juhász

Course objectives

General Objectives: Demonstration of methods of parameter identification

and parameter estimation of linear time-invariant sys-tems

Explanation and classification of different simulation methods of mechatronic systems

Competencies:

Students will be able to choose between identification methods or parameter estimation methods and apply

them to the given situation. Simulation methods are used to verify the identification

results.

Identification methods and simulation methods are inte-grated into a complete system analysis.

Course contents

System identification through parameter identification System identification through parameter estimation Simulation method for dynamic systems

Simulation method for event-driven systems Coupled simulation method (HIL, interfaces in simulation

systems)


58

Recommended

literature

Wernstedt J.: Experimentelle Prozeßanalyse. Olden-bourg-Verlag, 1989.

Kramer U., Neculau M.: Simulationstechnik. Hanser-Ver-lag, 1998

Litz L.: Grundlagen der Automatisierungstechnik. Olden-

bourg-Verlag, 2005. Robert L. Woods, Kent L. Lawrence: Modeling and Sim-

ulation of Dynamic Systems. Prentice Hall, 1997 Ljung, Lennart. System Identification: Theory for the

User, 2/E. Prentice Hall, 1999

Teaching methods Lecture

Assessment method Written examination (90 min)


English

Prerequisite

Formal: None

Material: Knowledge of systems theory of linear systems, knowledge of physical principles of electrical and mechanical

systems


59

Advanced Circuits Lab

Course title Advanced Circuits Lab

ECTS 5

Course type Practical Exercises

SWS 4



Lecturer Prof. Dr. Werner Bogner

Course objectives Ability to analyze and apply analog semiconductor circuits. Ability to design simple analog semiconductor circuits.

Course contents

• Lessons for introduction of specific topics

- Applications of analog circuits

- Diodes and Transistors

- Amplifiers

- RF circuits (Oscillators, PLL)

• Lab Experiments

- Introduction to basic electronics measurement equip-

ment

- Diode circuits: voltage doubler (Villard and Greinacher circuit), voltage cascade, diode as switch

- Integrated circuits: Timer circuit

- Design of AF-amplifier according to specification

- Differential amplifier: Characteristics, current source, application

- Quasi-linear AF-power-amplifier: Class A, B, AB oper-ation, biasing, output power, efficiency

- Switch mode AF power amplifier: Class D


60

- Phase locked loop – PLL

- RF-Oscillators: Phase-shift oscillator, Wien-bridge os-cillator, Colpitts-oscillator, LC-oscillators, Franklin-oscil-

lator

- Nonlinear RF-circuit simulation using AWR Microwave office

- RF-measurements: S-Parameter and time domain re-flectometry


Tietze, Schenk: Electronic Circuits: Handbook for Design and Application, Springer 2nd ed. 2008

Teaching methods Practical work and some lessons for introduction of specific topics

Assessment method Written examination (90 min.) or examination assignment (seminar paper)


English

Prerequisite

Basic knowledge of solid state devices (bipolar junction transistors, diodes)

Basics of electronic networks Admission test!

Mechanical Engineering and Mechatronics

61

Python Programming: Basics and Applications

Course title Python Programming: Basics and Applications

ECTS 2

Course type Programming sessions and semester project

SWS 2

Semester Summer


Lecturer Prof. Dr.-Ing. Giuseppe Bonfigli

Course objectives

After attending this course, students will be able to imple-ment small Python programs for everyday applications in

engineering. They will know the fundamentals of the syn-tax and of the logical structures of Python, including rudi-mentary elements of Object Oriented Programming, and

will be able to apply them to solve programming tasks. They will be aware of the flexibility of Python, and of the

wide range of capabilities provided by additional libraries (modules). Depending on the requirement of the semester project, they may achieve deeper insight into single mod-

ules of choice.

Course contents

Built in data types: int, float, strings, tuples, lists,

dictionaries Loops and flow control structures Input/Output statements

Classes and elements of object oriented program-ming

Most common modules: numerical (math, numpy, scipy), graphical (matplotlib), system interface (os), gui management (tkinter)

Other modules, depending of the specific require-ments of the semester project


62

Recommended

literature

Schell, Scott: Introduction to Python for scientific com-

puting, https://sites.engineer-ing.ucsb.edu/~shell/che210d/python.pdf

Milliken, Connor: Python projects for beginners, https://link.springer.com/book/10.1007%2F978-1-4842-5355-7

Romano, Fabrizio: Learn Python Programming, https://ebookcentral.proquest.com/lib/th-deggen-

dorf/detail.action?docID=5446038 Schell, Scott: Introduction to Numpy and Scipy,

https://sites.engineer-

ing.ucsb.edu/~shell/che210d/numpy.pdf

Teaching methods

This course focuses on the practical side of programming and relies on an hands-on approach. Syntactical basics and logical structures will be introduced according to the

reference literature. They will be exemplified during the lecture by solving targeted programming tasks. Program-

ming competence will be further trained within regular ex-ercises and in the scope of the semester project. The latter consists of a programming task of moderate to intermedi-

ate complexity on a topic of free choice. It might foresee the usage of additional libraries (modules), if convenient

for the specific application.

Assessment method

Semester project and presentation of the results

Language of

instruction

English

Prerequisite None


63

Introduction to the Finite Element Method

Course title Introduction to the Finite Element Method with NASTRAN & PATRAN

ECTS 4

Course type Lectures with workshops

SWS 4


Workload in hours Total: 120 / in-class: 40 / Self-study: 80

Lecturer Prof. Dr. Christian Bongmba

Course objectives

The main aim is to introduce students to the direct stiffness method. They learn how to derive the stiffness matrices for

springs, bars, beams, two- and three-dimensional finite el-ements. The workshops introduce students to MSC NAS-

TRAN and PATRAN. Students learn how to use PATRAN for pre- and post-processing and NASTRAN as a solver. They

learn how to import geometry into PATRAN, carry out the discretization, define material and section properties and boundary conditions and set up a finite element analysis.

Course contents

1. Introduction – What is the Finite Element Method? 2. Discretization examples 3. Development of truss element 4. Development of beam element 5. Two-dimensional elements 6. Three-dimensional elements 7. Workshops with MSC NASTRAN und PATRAN linear static,

normal modes and buckling


Logan, Daryl L.: A First Course in the finite Element Method, CENGAGE Learning 2012.


64

Teaching methods Lectures, workshops and videos

Assessment method Workshops and term paper


English

Prerequisite Statics, Strength of Materials


65

Design Methodology/CAD

Course Title Design Methodology/CAD

ECTS 3

Course type Lecture with the conduction of CAD project

SWS 2



Lecturer Prof. Dr.-Ing. Karl Hain

Course Objectives

Students are able to apply design methods and rules sys-

tematically for product development, especially in the ear-lier design stages, using CAD for the depiction of solutions.

Course Contents

Introduction to basics Methodology of the design process

Conceptual design o Analysis and requirements

o Functional analysis, function structures and logical considerations

o Aids and methods for finding solutions Evaluation and selection Rules and principles for embodiment design

TRIZ techniques Design examples with CAD

Recommended

Literature

Pahl, Beitz et. al.: Engineering Design: A Systematic Ap-proach, 3rd Edition, Springer 2007, ISBN: 978-1-84628-

318-5

Teaching Methods Lecture with integrated product development example with

CAD

Assessment Methods Written examination, 90 min.

Prerequisite Basics of design and CAD


66

Introduction to Solidworks (CAD)

Course title Introduction to Solidworks (CAD)

ECTS 3

Course type Lecture with CAD exercises

SWS 2




Course Objectives

Students are able to apply Solidworks CAD system for

product development

Course Contents

Overview and menus

Sketch elements, tolerance, dimensioning Modeling single parts Modeling assemblies

Modeling welded parts Simulations

Teaching Methods Supervised CAD exercises at PCs

Assessment Method Written examination, 90 min.

Language of

Instruction English

Prerequisite Basics of design and product development


67

Advanced Solidworks (CAD)

Course title Advanced Solidworks (CAD)

ECTS 3

Course type Practical exercises with CAD system Solidworks

SWS 2




Course objectives

Students are able to apply Solidworks CAD system for more

complex product development

Course contents

Loft boss/base techniques Spline functions

Surface modelling tools and techniques Sheet metal parts

Advanced mechanical mates for assemblies

Recommended

literature Solidworks online help

Teaching methods CAD exercises / practical work

Assessment method


Language of

instruction

English

Prerequisite Basic knowledge of design and product development

Applied Natural Sciences and Industrial Engineering

68

State Control and Uncertainty Evaluation in Mechanical

Engineering

Course title State Control and Uncertainty Evaluation in Mechanical En-gineering

ECTS 2

Course type Lecture

SWS 2

Semester Summer

Workload in hours 60 hrs

Lecturer Prof. Dr. Roland Platz

Course objectives

The course gives a first general insight into smart materi-als, concepts of state and health control, and structural in-

tegration in mechanical engineering. The students also learn about the basic principle of energy harvesting and storage concepts to power sensors in autonomous engi-

neering systems. The course closes with the introduction to basic and applicable tools to identify, quantify and eval-

uate uncertainty in the engineering design process.

Course contents

- Buckling control for beams under axial loading - Smart materials

- Control concepts - Vibration control - Classifying, describing and quantifying uncertainty, sto-

chastic basics, stochastic tools - Basics in energy conversion, storage and consumption

- Lithium-Ion batteries


69

Recommended Literature

- Goodenough, J.B., Kim, Y.: Challenges for Rechargeable Li Batteries, Chem. Mater. 2010, 22, (2010)

- Janocha, H. (Ed.): Adaptronics and Smart Structures. Basics, Materials, Design and Applications. Springer

(2007) - Papoulis, A.: Probability and Statistics, Prentice-Hall,

Inc. (1990)

- Preumont, A.: Vibration Control of Active Structures, Springer (2018)

Teaching methods Face-to-face lecture/seminar

Assessment method

Paper and presentation


English

Prerequisite Participants should have a basic background and interest in

structural dynamics.


70

Additive Manufacturing – more than 3D Printing

Course title Additive Manufacturing – more than 3D Printing

ECTS 2

Course type Lecture

SWS 2

Semester Summer


Lecturer Prof. Dr. Christian Wilisch

Course objectives

The students learn about the basic concepts and about the most common methods of additive manufacturing

Course contents Basic principles of additive manufacturing (AM); AM from

the solid, liquid and gaseous phase


Andreas Gebhardt, A. and Hötter, J.-S.;

Additive Manufacturing; Hanser, 2016

(this book is useful, but not required for the class)

Teaching methods Lectures

Assessment method Written paper and presentation in class


English

Prerequisite None


71

Introduction to Quality Management

Course title Introduction to Quality Management

ECTS 4

Course type Lecture

SWS 3



Lecturer Prof. Dr. Christian Wilisch

Course objectives

Quality management (QM) is an indispensable tool not only in production environments but in all aspects of com-merce.

This course aims to provide students with basic knowledge about QM techniques and their applications.

Course contents

What is 'quality'? Historical context of quality management

Financial aspects of quality management

Quality techniques and their applications Process control techniques


Imai, Masaaki: Gemba Kaizen, 2nd ed., McGraw-

Hill, New York, 2012 Chalkiadakis, Ioannis: New Product Development

with the Use of Quality Function Deployment, Lam-bert, Mauritius, 2019

Montgomery, Douglas C.: Introduction to Statistical Quality Control, Wiley, New York, 2019

Teaching methods Lectures with discussions and presentations

Assessment method

Written paper to be presented in class


72

Language of

instruction

English

Prerequisite None


73

Physics for Engineers – an Introduction

Course title Physics for Engineers – an Introduction

ECTS 3

Course type Lecture

SWS 3

Semester Summer


Lecturer Prof. Dr. Rychkov

Course objectives

The course provides in a concise form an Introduction to a

General Physics as needed by engineers and students of technical sciences. All fields of Classical Physics will be cov-ered with a short excurse into the Modern Physics, thus

providing both theoretical background and technical knowledge for further engineering studies.

Course contents Mechanics, Electricity and Magnetism, Molecular Physics and Thermodynamics, Optics, Atomic and Quantum Phys-ics

Recommended

literature


Assessment method paper and presentation


English


74

Prerequisite basics of differential and integral calculus


75

Transducer Properties of Functional Soft Matter

Course title Transducer Properties of Functional Soft Matter

ECTS 3 ECTS

Course type Lecture

SWS 3

Semester Summer


Lecturer Prof. Dr. Rychkov

Course objectives

This course is an introduction to an exciting world of soft

matter sensors and actuators. Based on a multitude of prac-tical examples the students will be able to understand how microscopic-level physical properties of functional materials

determine the properties and working behaviour of trans-ducer devices based on them.

Course contents

Dielectric Properties and Maxwell Stress; Charge Storage and Electro-Mechanical Coupling in Dielectrics; Ferro-, Pyro-

and Piezoelectricity; Mechanical and Acoustical Properties of Soft Matter; Artificial Muscles for Actuators and Sensors; Sound and Ultra-Sound Sensors with Space-Charge Elec-

trets; Less Can Be More (Ferroelectrets and Piezoelectrets as Sensors and Actuators); Molecular Dipole Electrets with

Ferro-, Pyro- and Piezoelectricity; Composite Materials for Multi-Functional Devices; Energy Harvesting with Soft Mat-ter; Soft-Matter Sensors for Electromagnetic and Other Ra-

diation; Space-Charge Electrets for High-Efficiency Air Fil-tration


Assessment method

paper and presentation

Language of Instruction

English


76

Innovation Management

Course title Innovation Management

ECTS 4

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Christine Wünsche

Course objectives

Know about methods of systematic invention and creative thinking

Course contents

Definition of “invention”, Design thinking and TRIZ, Meth-

ods to improve creative thinking, creating empathy, basic practice.


Introductions to design Thinking, TRIZ, Creative Thinkin by Edition Gabal and Pocket power by Hanser

Peter Orloff: Inventive thinking through TRIZ, a practical guide

https://triz-journal.com/ Falk Uebernickel: design thinking: the handbook

Teaching methods Lecture / case studies

Assessment method (Written examination, 90 min.) paper


English


77

Recycling of Materials

Course title Recycling of Materials

ECTS 4

Course type Lecture

SWS 4

Semester Summer


Lecturer Prof. Dr. Christine Wünsche

Course objectives

Knowledge about material properties with respect to recy-

cling; Cradle to Cradle or down cycling; estimation of eco-logical and economical aspects of re-using, recycling and deposing of materials.

Course contents

Overview of different material properties and their me-

chanical, electrical,… effects. Rawmaterials and rawmaterial processing

Processing and live time analysis End of live scenarios

With special focus on paper, glass, metals


Pulp and Paper processing, edited by Salim Newaz Kazi

Glass technology, Glass structure and Thechnology (open Access) Resources, Conservation and Recycling (open Access)

Ceramic materials : synthesis, characterization, applica-tions and recycling (online)

Teaching methods Lecture / presentation

Assessment method (Written examination 90 min. or) paper


78

Language of

instruction

English

Prerequisite Material sciences recommended


79

Computation in C

Course Title Computation in C

ECTS 5

Course type Lecture

SWS 4

Semester Summer

Workload in hours 150

Name of lecturer Prof. Dr. Thomas Stirner

Course objectives

Knowledge of basic software-engineering methods; ability to use an integrated software development environment;

ability to use the programming language C; basic under-standing of the precompile; ability to implement algorithms

in the programming language C

Course contents

Software-engineering methods; computer architecture; precompile; data types; declarations; arithmetic, relational and logic operators; decisions; loops; functions; pointers;

arrays; structures; dynamic memory allocation

Recommended

literature

Kernighan and Ritchie, The C programming language, Pren-

tice Hall

Teaching methods Lectures, exercises

Assessment method Written examination (60 min)


English

Preqrequisite None


80

Projects in Science and Engineering

Course title Projects in Science and Engineering

ECTS 6

Course type Project

SWS 4



Lecturer Prof. Dr. Thomas Stirner

Course objectives

Knowledge of project management; analysis, distribution and solution of the tasks in a small team; obtaining and presenting results; practical application of the theoretical

knowledge base; communication and team skills; strategic planning; time-management skills; problem-solving skills

Course content

Projects or part of a project may be of a theoretical nature (e.g. literature review, software development, data mining,

etc.) or of an experimental nature (e.g. design of experi-ment, measurements, etc); project descriptions will be made available at the beginning of the semester; teams will

be built to solve the tasks; each team will work on project results, which will be presented in written form and orally


Specific to the project

Teaching methods Supervision

Assessment method Written report and oral presentation


81


English

Prerequisite None


82

Advanced Projects in Science and Engineering

Course title Advanced Projects in Science and Engineering

ECTS 6

Course type Project

SWS 4


Workload in hours

180

Lecturer Prof. Dr. Thomas Stirner

Course objectives

Deeper knowledge of project management; further analy-sis, distribution and solution of advanced tasks in a small

team; obtaining and presenting results; extensive practical application of the theoretical knowledge base; enhanced communication and team skills; strategic planning; time-

management skills; problem-solving skills

Course content

Advanced projects or part of an advanced project may be of

a theoretical nature (e.g. literature review, software devel-opment, data mining, etc.) or of an experimental nature (e.g. design of experiment, measurements, etc.); project

descriptions will be made available at the beginning of the semester; teams will be built to solve the advanced tasks;

each team will work on project results, which will be pre-sented in written form and orally

Recommended

literature

Specific to the project



83

Assessment method Written report and oral presentation

Language of

Instruction

English

Prerequisite Projects in Science and Engineering


84

Projects in Industrial Engineering

Course title Projects in Industrial Engineering

ECTS 6

Course type Project

SWS 4



Lecturer Prof. Dr. Jutta Stirner

Course objectives

Knowledge of project management; analysis, distribution and solution of the tasks in a small team; obtaining and presenting results; practical application of the theoretical

knowledge base; communication and team skills; strategic planning; time-management skills; problem-solving skills.

Course content

Projects or part of a project may be of a theoretical nature (e.g. literature review, data mining, etc.) or of analytical

nature (e.g. business plan, etc.); project descriptions will be made available at the beginning of the semester; teams will be built to solve the tasks; each team will work on

project results, which will be presented in written form.

Recommended

literature Specific to the project


Assessment method Written report


85

Language of

instruction English

Preqrequisite None

Miscellaneous Max. 10 participants


86

Advanced Projects in Industrial Engineering

Course title Advanced Projects in Industrial Engineering

ECTS 6

Course type Project

SWS 4



Name of lecturer Prof. Dr. Jutta Stirner

Course objectives

Deeper knowledge of project management; further analy-sis, distribution and solution of advanced tasks in a small team; obtaining and presenting results; extensive practical

application of the theoretical knowledge base; enhanced communication and team skills; strategic planning; time-

management skills; problem-solving skills

Course content

Advanced projects or part of an advanced project may be of

a theoretical nature (e.g. literature review, data mining, etc.) or of a statistical nature (e.g. data analysis etc.); pro-ject descriptions will be made available at the beginning of

the semester; teams will be built to solve the advanced tasks; each team will work on project results, which will be

presented in written form.

Recommended lit-

erature

Specific to the project: Google Scholar, Science Direct via

THD library


Assessment method Written report


87


English

Preqrequisite Projects in Industrial Engineering

Documents

Institute for International Affairs...1 Table of Contents German A1/ Parts 2 and 3 ..... 2 English for GE Students B2 ..... 4