Study plan
Compulsory elective modules 1. Semester
Compulsory elective modules 2. Semester
Compulsory elective modules 3. Semester
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 6ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 5ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 6ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 4SWS
- 6ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
- WP
- 2SWS
- 3ECTS
Compulsory elective modules 4. Semester
Neurophysiologie 1
Systembiologie 2: Systemtheorie
Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren
Angewandte Biosignalverarbeitung - Schlagdetektion
Ausgewählte Kapitel der Digitalen Technologien 1
Ausgewählte Kapitel der Digitalen Technologien 2
Ausgewählte Softwaresysteme - Programmierung IV
Automotive Systems
Bewegungsanalyse
Bildgebende Verfahren der Medizintechnik 1
Bildgebende Verfahren der Medizintechnik 2
Cyber Security 1
Cyber Security 2
Digitale Signalverarbeitung 2
Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme
EM Design
Einführung in Maschinelles Lernen und Künstliche Intelligenz
Einführung in die Radartechnik
Embedded Systems Hardware Design and Rapid Prototyping
Extended Reality
Extended Reality 2
Grundlagen der Mensch-Computer-Interaktion
IoT-Protokolle
Mathematik Ergänzungen 1
Mathematik Ergänzungen 2
Medizinische Signalverarbeitung
Neurophysiologie 2
RMS anerk.
RMS anerk.
Regulatorische Grundlagen für Medizinprodukte - Teil I
Regulatorische Grundlagen für Medizinprodukte - Teil II
Robotik 1
Robotik 2
Sensorik
Softwareentwicklung robotischer Systeme mit ROS
Systembiologie 1: biologische Netzwerke
Compulsory elective modules 5. Semester
Compulsory elective modules 6. Semester
Module overview
1. Semester of study
Grundlagen der Informationstechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10020
Duration (semester)
1
Learning outcomes/competences
Students have a basic understanding of digital technology and
are familiar with some of the methods and mathematical fundamentals required in the advanced
courses. They are able to describe certain problems in the field of
digital technology and the fundamentals of information technology both verbally and mathematically
and to solve problems in these areas using systematic methods. They have gained an understanding of the discrete
nature that characterizes information technology systems on many levels.
are familiar with some of the methods and mathematical fundamentals required in the advanced
courses. They are able to describe certain problems in the field of
digital technology and the fundamentals of information technology both verbally and mathematically
and to solve problems in these areas using systematic methods. They have gained an understanding of the discrete
nature that characterizes information technology systems on many levels.
Contents
The course highlights perspectives inherent in digital and information technology systems that may initially
seem somewhat abstract. The discrete nature of the
subject matter is the primary focus. First, a clear and understandable
foundation is established using digital circuits—starting with
simple logic circuits and progressing to arithmetic circuits and automata. The discussion is then broadened to include algebraic structures, arithmetic
with residue classes and polynomial rings, thereby shedding new light
on what has already been learned. Practical applications—computations over number fields, CRT for reducing the computational effort in
the implementation of cryptographic methods, polynomial multiplication and division using
shift registers for error-correcting coding schemes, among other things, maximum sequence generation for, among other things,
communications engineering purposes—are introduced (although some topics have not yet been fully
covered), thereby preparing the groundwork for and building upon the material of subsequent courses.
• Distinction between analog and digital signals and systems, representation of digital signals,
number systems and representations
• logical gates, switching algebra, combinational circuits, disjunctive and
conjunctive normal form
• Circuit minimization (Karnaugh map, Quine–McCluskey)
• Arithmetic circuits: adders, multipliers, convolution
• Sequential circuits: flip-flops, automata
• Shift register circuits: linear (and nonlinear) feedback, m-sequences, structures
(Fibonacci, Galois)
• Algebraic structures, Boolean algebra, residue classes, polynomial rings
seem somewhat abstract. The discrete nature of the
subject matter is the primary focus. First, a clear and understandable
foundation is established using digital circuits—starting with
simple logic circuits and progressing to arithmetic circuits and automata. The discussion is then broadened to include algebraic structures, arithmetic
with residue classes and polynomial rings, thereby shedding new light
on what has already been learned. Practical applications—computations over number fields, CRT for reducing the computational effort in
the implementation of cryptographic methods, polynomial multiplication and division using
shift registers for error-correcting coding schemes, among other things, maximum sequence generation for, among other things,
communications engineering purposes—are introduced (although some topics have not yet been fully
covered), thereby preparing the groundwork for and building upon the material of subsequent courses.
• Distinction between analog and digital signals and systems, representation of digital signals,
number systems and representations
• logical gates, switching algebra, combinational circuits, disjunctive and
conjunctive normal form
• Circuit minimization (Karnaugh map, Quine–McCluskey)
• Arithmetic circuits: adders, multipliers, convolution
• Sequential circuits: flip-flops, automata
• Shift register circuits: linear (and nonlinear) feedback, m-sequences, structures
(Fibonacci, Galois)
• Algebraic structures, Boolean algebra, residue classes, polynomial rings
Teaching methods
The lecture is designed to convey theoretical content. At times, supplementary references are made to the
reading list to help students practice working with it and introduce them to the process of seeking out
additional perspectives. In the exercises, the methods taught
are applied and the theoretical content is explored in greater depth.
The exercises take place in small groups, where students can present and discuss their own solutions
.
reading list to help students practice working with it and introduce them to the process of seeking out
additional perspectives. In the exercises, the methods taught
are applied and the theoretical content is explored in greater depth.
The exercises take place in small groups, where students can present and discuss their own solutions
.
Participation requirements
Formatting: none
Content: none
Content: none
Forms of examination
Module Exam: Fundamentals of Information Technology:
Written Exam (120 min.)
Written Exam (120 min.)
Requirements for the awarding of credit points
Module examination must be passed
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
wird in der Veranstaltung angegeben
Informatik 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10160
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Knowledge and understanding
After successfully completing the module, students can:
Students are able to:
After successfully completing the module, students can:
- explain the basic terms, concepts and core tasks of procurement, production and logistics, formulate and explain the objectives, tasks and processes of logistics and supply chain management,describe and analyze internal and cross-company processes within the value chain,understand the modelling of corresponding planning problems, explain selected methods for analysis and optimization and classify their significance for the optimization of processes.
Students are able to:
- model problems relating to transportation and handling, site selection, route planning
- process and solve selected models using standard spreadsheet techniques, select and apply methods for analysis and optimization for selected models. Communication and cooperation
- explain processes, concepts, models and methods in an understandable way
- Develop, prepare, present and communicate the results of analyses and modeling in individual and group work in a manner appropriate to the target audience
- reflect on the problems of logistics planning and recognize their relevance for operational practice, transfer theoretical concepts and models to real logistical use cases,recognize the possible applications, limits and adaptability of methods,independently develop well-founded solution approaches for complex logistical problems and reflect on their implementation options in practice
The students can:
The students:
Contents
Part 1: Basics
- Introduction: Logistics and supply chain management (SCM)
- Value chains, processes and networks as reference points
- Logistics: perspectives, activities, players and sub-sectors
- Procurement, production and distribution
Part 2: Decision-making
- Modeling for application problems
- Tasks of transportation planning
- Tasks of location planning
- Tasks of route planning
- Inventory planning tasks
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- Solving practical exercises in individual or team work
- Exercises or projects based on practical examples
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
Exam (100%, 90 min)
Requirements for the awarding of credit points
passed exam
Applicability of the module (in other degree programs)
- Bachelor's degree in Business Informatics
Literature
Teil 1: Einführung in die Logistik
- Chopra, S., Meindl, P.: Supply Chain Management - Strategie, Planung und Umsetzung, 5. Auflage, Pearson Verlag, 2014
- Furmans, K.; Henke, M.; Tempelmeier, H.; ten Hompel, M.; Schmidt T. (Hrsg.): Handbuch Logistik, 4. Auflage, Springer-Verlag, 2019
- Hohmann, S.: Logistik- und Supply Chain Management - Grundlagen, Theorien und quantitative Aufgaben, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2022
- Kummer, S. (Hrsg.); Grün, O.; Jammernegg, W.: Grundzüge der Beschaffung, Produktion und Logistik, 4. Auflage, Pearson Deutschland GmbH, Hallbergmoos, 2018
- Pfohl, H.-C.: Logistiksysteme, 9. Auflage, Springer-Verlag GmbH, Berlin, 2018
- Pfohl, H.-C.: Logistikmanagement – Konzept und Funktion, 4. Auflage, Springer-Verlag GmbH, Berlin, 2021
- Tripp, C. Distributions- und Handelslogistik – Netzwerke und Strategien der Omnichannel-Distribution im Handel, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2019
- Werner, H.: Supply Chain Management – Grundlagen, Strategien, Instrumente und Controlling, 7. Auflage, Springer Fachmedien Wiesbaden GmbH, Wiesbaden, 2020
Teil 2: Entscheidungsfindung und mathematische Modelle in der Logistik
- Domschke, W., Drexl, A., Klein, R., & Voß, S. (2015). Einführung in das Operations Research (8. Aufl.). Springer.
- Furmans, K., Henke, M., Tempelmeier, H., ten Hompel, M., & Schmidt, T. (Hrsg.). (2025). Handbuch Logistik (4. Aufl.). Springer.
- Martin, H. (2021). Technische Transport- und Lagerlogistik (7. Aufl.). Springer Vieweg.
- Sydsaeter, K., Hammond, P., Strøm, A., & Carvajal, A. (2018). Mathematik für Wirtschaftswissenschaftler (5. Aufl.). Pearson.
- Wehking, K.-H. (Hrsg.). (2020). Technisches Handbuch Logistik 1: Fördertechnik, Materialfluss, Intralogistik. Springer Vieweg.
Mathematik 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10010
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Upon completion of this module, students will be able to
• Apply basic techniques of one-dimensional calculus
• Apply basic techniques of linear algebra
• Describe the special role of complex numbers in technical applications
• Analyze mathematical concepts
• Evaluate the correctness of mathematical statements
• Formulate simple technical relationships using mathematical terminology
• Apply basic techniques of one-dimensional calculus
• Apply basic techniques of linear algebra
• Describe the special role of complex numbers in technical applications
• Analyze mathematical concepts
• Evaluate the correctness of mathematical statements
• Formulate simple technical relationships using mathematical terminology
Contents
• Real Numbers and Functions
• Complex Numbers
• Vector and Matrix Algebra
• Systems of Linear Equations
• Complex Numbers
• Vector and Matrix Algebra
• Systems of Linear Equations
Teaching methods
A lecture course covers the fundamentals of calculus and linear algebra. The presentation
of the theoretical foundations is supported by numerous examples and exercises.
In the exercise sessions, students work independently on solving problems.
Participation requirements
Formal requirements: none
Content: Mathematics at the level required for the university of applied sciences entrance qualification
Content: Mathematics at the level required for the university of applied sciences entrance qualification
Forms of examination
Mathematics 1 Module Exam:
Written Exam (90 min.)
Requirements for the awarding of credit points
Module examination must be passed
Applicability of the module (in other degree programs)
- Bachelor's degree in Software and Systems Engineering (dual)
- Bachelor's degree in Software and Systems Engineering (dual)
- Bachelor of Computer Science
- Bachelor of Computer Science
- Bachelor's degree in Medical Informatics
- Bachelor of Medical Informatics Dual
- Bachelor of Computer Science Dual
- Bachelor of Computer Science
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Program Examination Regulations (StgPO) for the bachelor’s degree study programs in Biomedical Engineering, Biomedical Engineering with a practical/study abroad semester,
Information Technology, and Information Technology with a practical or study abroad semester)
Literature
[1] Koch, Jürgen und Stämpfle, Martin: Mathematik für das Ingenieurstudium, Carl Hanser Verlag,
München, 3., aktualisierte und erweiterte Auflage, 2015
[2] Koch, Jürgen und Stämpfle, Martin: Mathematik für das Ingenieurstudium, Aufgaben und
Lösungen, Carl Hanser Verlag, München, 1. Auflage, 2025
[3] Papula, Lothar: Mathematische Formelsammlung für Ingenieure und Naturwissenschaftler,
Springer Vieweg, Wiesbaden, 13., überarbeitete und erweiterte Auflage, 2024
[4] Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler, Band 1, Springer
Vieweg, Wiesbaden, 16., überarbeitete und erweiterte Auflage, 2024
[5] Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler, Band 2, Springer
Vieweg, Wiesbaden, 15., überarbeitete und erweiterte Auflage, 2025
München, 3., aktualisierte und erweiterte Auflage, 2015
[2] Koch, Jürgen und Stämpfle, Martin: Mathematik für das Ingenieurstudium, Aufgaben und
Lösungen, Carl Hanser Verlag, München, 1. Auflage, 2025
[3] Papula, Lothar: Mathematische Formelsammlung für Ingenieure und Naturwissenschaftler,
Springer Vieweg, Wiesbaden, 13., überarbeitete und erweiterte Auflage, 2024
[4] Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler, Band 1, Springer
Vieweg, Wiesbaden, 16., überarbeitete und erweiterte Auflage, 2024
[5] Papula, Lothar: Mathematik für Ingenieure und Naturwissenschaftler, Band 2, Springer
Vieweg, Wiesbaden, 15., überarbeitete und erweiterte Auflage, 2025
Mikroprozessortechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10040
Duration (semester)
1
Contact time
45 h
Self-study
75 h
Learning outcomes/competences
Participants recognize, analyze and understand typical, frequently occurring structural damage
and its cause. and their causes. They have learned strategies for damage prevention and remediation options, taking into account
They have become familiar with scientific working methods
and its cause. and their causes. They have learned strategies for damage prevention and remediation options, taking into account
They have become familiar with scientific working methods
Contents
- Introduction to building diagnostics, assessment of weak points in existing buildings
- Protection and repair of reinforced concrete structures
- Typical errors in the planning and construction of water-impermeable concrete structures, subsequent waterproofing
- Cracks and leaking joints in water-impermeable concrete structures, injection training - theoretical and practical part
- Subsequent installation of waterproof concrete tanks in existing buildings
- Damage to waterproofing for building components against soil
- Restoration of leaking joints
- Waterproofing of swimming pools
- Damage to waterproofing on terraces, flat roofs and green roofs
- Legal and insurance aspects of waterproofing buildings
- Damage to industrial floors and parking garage coatings
- Restoration of damp and salted walls (building drying, desalination, impregnation)
- Damage to natural stone, causes and images of damage, stone restoration and conservation measures
- Wood damage caused by moisture, fungi and pests, wood protection through structural measures
- Corrosion + corrosion protection of metal components
- Heat bridges and mold growth in residential buildings
- Development of your own renovation concept for a case of damage
- Excursions and company tours
- The teaching/practice/reflection/presentation of the specialist content also explicitly addresses scientific working methods and techniques
Participation requirements
at least 90 LP, BT 1+2
Forms of examination
a. 4 graded examinations during the semester (4 x written examinations of 60 minutes each, max. 60 points each)
b. Additional bonus points are possible for participation in the courses / excursions (max. 36 points)
b. Additional bonus points are possible for participation in the courses / excursions (max. 36 points)
Requirements for the awarding of credit points
The module examination must have been graded at least "sufficient" (4.0). This must
at least 50% of the total points possible under a (maximum total points: 240 points, minimum number of points required to
minimum number of points required to pass: 120 points), bonus points described under b. (max. 36
points) are taken into account.
at least 50% of the total points possible under a (maximum total points: 240 points, minimum number of points required to
minimum number of points required to pass: 120 points), bonus points described under b. (max. 36
points) are taken into account.
Applicability of the module (in other degree programs)
Conversion, modernization and refurbishment of existing buildings nowadays determine to a large extent
the architect's field of activity. Errors are often caused by ignorance of elementary building physics, material technology or building design principles. BI is therefore closely related to building physics, building material technology (materiality) and building construction.
the architect's field of activity. Errors are often caused by ignorance of elementary building physics, material technology or building design principles. BI is therefore closely related to building physics, building material technology (materiality) and building construction.
Importance of the grade for the final grade
The grade results from the total number of points of the 4 semester-accompanying examinations, taking into account the bonus points achieved under
b. mentioned bonus points (max. 36 points)
b. mentioned bonus points (max. 36 points)
Literature
- Hohmann, R.: Abdichtung bei wasserundurchlässigen Bauwerken aus Beton. Stuttgart, Fraunhofer IRB Verlag, 2009
- Hohmann, R.: Elementwände im drückenden Grundwasser richtig ausgeführt. Stuttgart, Fraunhofer IRB Verlag, 2015
- Hohmann, R.: Planung und Ausführung von Elementwänden bei drückendem Grundwasser. In: Beton und Stahlbetonbau 108 Spezial: WU-Bauwerke aus Beton. Supplement S1 Oktober 2014. S. 81 – 95
- Hohmann, R.: Fugensysteme für WU-Konstruktionen. In: Beton, Heft 12 (2014), S. 482 – 490 − Dahmen, Engel, et. al.: Innenabdichtungen. Fraunhofer IRB Verlag, Stuttgart
- Reul: Handbuch Bautenschutz und Bausanierung. Rudolf Müller Verlag, Köln
- Böhning: Altbaumodernisierung im Detail. Rudolf Müller Verlag, Köln
- Thomas: Denkmalpflege für Architekten und Ingenieure. Rudolf Müller Verlag, Köln
- Frössel: Mauerwekstrockenlegung und Kellersanierung. Fraunhofer IRB Verlag, Stuttgart
- • Arendt: Feucht und Salze in Gebäuden. Verlagsanstalt Alexander Koch, Leinefelden − Hankammer,
- • Lorenz: Schimmelpilze und Bakterien in Gebäuden. Rudolf Müller Verlag, Köln
- • Vogt: Abdichtung – Fachgerecht und Sicher. Fraunhofer IRB Verlag, Stuttgart
- • Stahr: Praxiswissen Bausanierung. Vieweg Verlag, Wiesbaden − Balak
- • Pech: Mauerwerkstrockenlegung. Springer Verlag, Wien
- • Reul: Sanierung von Tiefgaragen und Parkhäusern. Fraunhofer IRB Verlag, Stuttgart − Weber,
- • Hafkesbrink: Bauwerksabdichtung in der Altbausanierung. Teubner Verlag, Wiesbaden
- • Brundiers, Hebeisen, Hunstock, Meyer, Spirgatis: Außenabdichtungen. Fraunhofer IRB Verlag, Stutt
- gart
- • BFA BWA: BWA-Richtlinien für Bauwerksabdichtungen
- • Grundwissen zur Ausführung von Abdichtungen. Beuth Verlag, Berlin −
- • Raps, Schmidt, Rohr-Suchala: Schutz und Instandsetzung von Parkhäusern und Tiefgaragen. Fraunho
- fer IRB Verlag, Stuttgart
- • Röhling, Meichner: Rissbildungen im Stahllbetonbau – Ursachen – Auswirkungen – Maßnahmen.
- Fraunhofer IRB Verlag, Stuttgart −
- Stand: 12. März 2021 Fachhochschule Dortmund Seite 66 von 126
- Bachelor im Fach Architektur (Prüfungsordnungsversion 2014)
- Lotz, Hammacher: Schimmelschäden vermeiden. Fraunhofer IRB Verlag, Stuttgart
- Colling: Lernen aus Schäden im Holzbau. Fraunhofer IRB Verlag, Stuttgart
- Ansorge: Bauwerksabdichtung gegen von außen und innen angreifende Feuchte. Fraunhofer IRB Verlag, Stuttgart
- Scholz: Typische Baufehler. Rudolf Müller Verlag, Köln
- Nürnberger: Korrosion und Korrosionsschutz im Bauwesen. Bauverlag, Wiesbaden
- Meichsner: Bauwerksrisse kurz und bündig. Fraunhofer IRB Verlag, Stuttgart 04.07.2019
- Wallasch: Instandsetzung von Ziegelmauerwerk. DVA
- Kempe: Dokumentation Holzschädlinge. Verlag Bauwesen. Berlin
- Meier: Sanierputze. Expert-Verlag, Renningen
- Raupach: Schutz und Instandsetzung von Betontragwerken. Verlag Bau + Technik
- Frössel: Schimmelpilze und andere Innenraumbelastungen. Fraunhofer IRB Verlag, Stuttgart
WTA-Merkblätter
Physik 1- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10103
Duration (semester)
1
Contact time
60 h
Self-study
120 h
Learning outcomes/competences
After attending the course, students will be able to,
- analyze and evaluate unfamiliar urban situations in order to recognize deficits and qualities to which they react structurally. To do this, they use the levels of urban observation taught in the lecture, use urban planning and open space planning typologies to better assess approaches to solving urban planning problems
- to use architectural, landscape architectural and infrastructural building blocks of urban design in a targeted manner in order to respond holistically to structural tasks .
- assess planning law aspects of construction tasks in order to take these into account in architectural designs
- to solve simple urban planning tasks with the help of design in the model in order to incorporate the urban planning integration of architectural projects.
Contents
- Building blocks of the city
- Fundamentals of the history of urban development and current trends in urban development
- The shape of cities as a construct of technical, Business Studies and cultural ties
- Integration of structural and landscape elements of the city
- Perception and design of urban and rural spaces
- Urban planning standards
- Basic knowledge of urban land use planning
- Dimensions of urbanity
- Describe urban places in perspective sketches
- recognize and discuss urban qualities
- use and understand the interaction of architectural, landscape architectural and infrastructural elements
- design distinctive urban planning situations and flat fillings of urban planning structures
Teaching methods
Lectures
Exercises
Exercises
Forms of examination
Ungraded, semester-accompanying examinations Examination of the project-related work, written exam
Requirements for the awarding of credit points
The module examination or each partial examination must have been graded at least "sufficient" (4.0) or passed.
Importance of the grade for the final grade
70 % documentation and presentation of the project work, 30 % written examination Both examination elements at least 4.0
Praxisnahe Grundlagen 1- PF
- 5 SWS
- 5 ECTS
- PF
- 5 SWS
- 5 ECTS
Number
10050
Duration (semester)
1
Contact time
30 h
Self-study
60 h
Learning outcomes/competences
After participating in the "Design" module, students are able to
develop a topic given to them into a creative idea
to bring this idea to an artistic creative expression in analog and digital form
to present and document their own artistic-creative process and its result
Contents
- Deepening the content learned in the "Fundamentals of Design" module
- Practice artistic and creative approaches
- experimenting with different materials, techniques and methods (analog and digital)
- Reflection and development: using the findings in your own work
- Ideas and form-finding / discovering your own visual worlds
Teaching methods
Exercises
Participation requirements
GG
Forms of examination
a) Examination in the form of term papers
b) Graded examinations during the semester
c) Semester-accompanying coursework (bonus points)
b) Graded examinations during the semester
c) Semester-accompanying coursework (bonus points)
Requirements for the awarding of credit points
Pass graded semester examinations (b) and successfully complete the examination in the form of term papers (a).
Importance of the grade for the final grade
70% of the examination in the form of assignments (a), 30% graded semester examinations (b), taking into account bonus points from semester coursework (c) if applicable.
2. Semester of study
Grundlagen der Elektrotechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10090
Duration (semester)
1
Contact time
60 h
Self-study
60 h
Learning outcomes/competences
Preparation of tenders and participation in the awarding of contracts. Knowledge of the parties involved in construction.
Contents
On the one hand, the content of the HOAI, service phases 6 and 7 (tendering and awarding) are oriented towards the construction industry. Different tendering procedures (national and international) are presented and the various awarding options (individual awarding, GMP contracts) are explained. Explanations of the parties involved in construction as well as current trends such as new HOAI specifications complete the course. For example, the presentation of cost accounting as a basis for determining unit prices is currently explained (requirement of the current HOAI).
Teaching methods
Lectures
Exercises
Participation requirements
MF + min. 150 LP
Forms of examination
Written exam and, if applicable, coursework during the semester (bonus points)
Requirements for the awarding of credit points
Passed exam
Importance of the grade for the final grade
Examination result and, if applicable, inclusion of bonus achievements up to max. 30%
Informatik 2- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10161
Duration (semester)
1
Contact time
60 h
Self-study
120 h
Learning outcomes/competences
- Skills in metal construction - material-appropriate construction and design
- Explanation skills - documenting and presenting
Contents
- Metal materials, semi-finished steel products
- Basics of industrial production techniques
- Basics of steel construction, lightweight metal construction
- Construction with thin sheet metal
- Surfaces and coatings
- Color in an architectural context
- Material-appropriate planning and construction
- Experimental metal construction 1:1
Participation requirements
MP 37 MF, K 1
Forms of examination
Examination of planning work with discussion,
graded semester-accompanying examinations
graded semester-accompanying examinations
Requirements for the awarding of credit points
Pass at least 50% of the semester examinations and successfully pass the final examination
Importance of the grade for the final grade
20% examinations during the semester and 80% examination of the planning work
Kommunikationstechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10081
Duration (semester)
1
Learning outcomes/competences
Students are able to identify some basic problems and tasks in the
field of modern communication technology and to describe them using both linguistic and mathematical terms.
They have acquired basic methodological knowledge and can methodically solve corresponding problems and
tasks.
field of modern communication technology and to describe them using both linguistic and mathematical terms.
They have acquired basic methodological knowledge and can methodically solve corresponding problems and
tasks.
Contents
History and Classification
Basic Terms and Definitions, Distinction Between Analog and Digital
Communication Systems, Signal Flow Model vs. Protocol Layer Models
Network Topologies & switching techniques (in particular, circuit-switched vs. packet-switched)
Introduction to the concept of information, fundamentals of source, channel, and line coding
Media access issues and methods, error detection and correction, acknowledgment procedures,
overload and flow control
multiplexing and multiple access methods, Orthogonality principle
Introduction to traffic theory of simple loss and queuing systems, traffic shaping
Fundamental problems and design principles in wireless communication networks,
particularly in cellular networks, system examples
Basic Terms and Definitions, Distinction Between Analog and Digital
Communication Systems, Signal Flow Model vs. Protocol Layer Models
Network Topologies & switching techniques (in particular, circuit-switched vs. packet-switched)
Introduction to the concept of information, fundamentals of source, channel, and line coding
Media access issues and methods, error detection and correction, acknowledgment procedures,
overload and flow control
multiplexing and multiple access methods, Orthogonality principle
Introduction to traffic theory of simple loss and queuing systems, traffic shaping
Fundamental problems and design principles in wireless communication networks,
particularly in cellular networks, system examples
Teaching methods
The lecture is designed to convey theoretical content. In the exercises,
mathematical methods are applied and the theoretical material is explored in greater depth.
mathematical methods are applied and the theoretical material is explored in greater depth.
Participation requirements
Formatting: none
Content: none
Content: none
Forms of examination
Communication Technology Module Exam:
Written Exam (90 min.)
Written Exam (90 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
Konkrete Empfehlungen und Verweise erfolgen in der Veranstaltung.
Mathematik 2- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10060
Duration (semester)
1
Contact time
60 h
Self-study
120 h
Learning outcomes/competences
Upon completion of this module, students will be able to
• Apply basic techniques of analysis in one and multiple dimensions
• Apply basic techniques for solving ordinary differential equations
• Analyze mathematical concepts
• Evaluate the validity of mathematical statements
• Formulate technical relationships using mathematical terminology
• Apply basic techniques of analysis in one and multiple dimensions
• Apply basic techniques for solving ordinary differential equations
• Analyze mathematical concepts
• Evaluate the validity of mathematical statements
• Formulate technical relationships using mathematical terminology
Contents
• Limit Theories and Continuity
• Differential and Integral Calculus for Functions of a Single Variable
• Differential and Integral Calculus for Functions of Several Variables
• Ordinary Differential Equations of the First and Second Order
• Differential and Integral Calculus for Functions of a Single Variable
• Differential and Integral Calculus for Functions of Several Variables
• Ordinary Differential Equations of the First and Second Order
Teaching methods
A lecture provides in-depth knowledge of calculus. The teaching of
theoretical fundamentals is supported by numerous examples and exercises.
In the exercises, students work independently to solve problems.
theoretical fundamentals is supported by numerous examples and exercises.
In the exercises, students work independently to solve problems.
Participation requirements
Prerequisites: None
Content: Knowledge of the module content: Mathematics 1
Content: Knowledge of the module content: Mathematics 1
Forms of examination
Mathematics 2 Module Exam:
Written Exam (120 min.)
Written Exam (120 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Biomedical Engineering, Biomedical Engineering with a practical/study abroad semester,
Information Technology, and Information Technology with a practical or study abroad semester)
Information Technology, and Information Technology with a practical or study abroad semester)
Literature
[1] Papula, Lothar
Mathematik für Ingenieure 1-3, Vieweg, Braunschweig-Wiesbaden, 2000
[2] Brauch/Dreyer/Haacke
Mathematik für Ingenieure, B.G. Teubner, 1995
[3] Stingl, Peter
Mathematik für Fachhochschulen, Carl-Hanser Verlag, 1999
[4] Papula, Lothar
Mathematische Formelsammlung, Vieweg, Braunschweig-Wiesbaden, 2000
[5] Feldmann
Repetitorium Ingenieurmathematik, Binomi-Verlag, 1994
[6] Preuß, Wenisch
Mathematik 1-3, Hanser-Verlag, 2003
[7] Fetzer, Fränkel
Mathematik 1-2, Springer-Verlag, 2004
[8] Gramlich, Werner,
Numerische Mathematik mit Matlab, Dpunkt-Verlag, Heidelberg, 2000
[9] Angermann, A., Beuschel, M., Rau, M. und Wohlfarth, U.
MATLAB – Simulink – Stateflow: Grundlagen, Toolboxen, Beispiele, Oldenbourg
[10] Hoffmann, J. und Quint, F.
Signalverarbeitung mit MATLAB und Simulink: Anwendungsorientierte Simulationen,
Oldenbourg
[11] Pietruszka, W.D.
MATLAB und Simulink in der Ingenieurpraxis: Modellbildung, Berechnung und Simulation,
Vieweg + Teubner
Mathematik für Ingenieure 1-3, Vieweg, Braunschweig-Wiesbaden, 2000
[2] Brauch/Dreyer/Haacke
Mathematik für Ingenieure, B.G. Teubner, 1995
[3] Stingl, Peter
Mathematik für Fachhochschulen, Carl-Hanser Verlag, 1999
[4] Papula, Lothar
Mathematische Formelsammlung, Vieweg, Braunschweig-Wiesbaden, 2000
[5] Feldmann
Repetitorium Ingenieurmathematik, Binomi-Verlag, 1994
[6] Preuß, Wenisch
Mathematik 1-3, Hanser-Verlag, 2003
[7] Fetzer, Fränkel
Mathematik 1-2, Springer-Verlag, 2004
[8] Gramlich, Werner,
Numerische Mathematik mit Matlab, Dpunkt-Verlag, Heidelberg, 2000
[9] Angermann, A., Beuschel, M., Rau, M. und Wohlfarth, U.
MATLAB – Simulink – Stateflow: Grundlagen, Toolboxen, Beispiele, Oldenbourg
[10] Hoffmann, J. und Quint, F.
Signalverarbeitung mit MATLAB und Simulink: Anwendungsorientierte Simulationen,
Oldenbourg
[11] Pietruszka, W.D.
MATLAB und Simulink in der Ingenieurpraxis: Modellbildung, Berechnung und Simulation,
Vieweg + Teubner
Physik 2- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10104
Duration (semester)
1
Contact time
45 h
Self-study
75 h
Learning outcomes/competences
Participants in the course will learn the basic principles of building physics for sound insulation and room acoustics, how to apply them and how to verify compliance with current regulations.
Contents
Building physics deals with the interaction between buildings and the physical phenomena of heat, moisture and sound. Energy saving, comfortable and hygienic living conditions in rooms, protection against moisture damage are some of its goals. Knowledge of building physics is essential for architects when designing, planning and constructing buildings. Structural damage in new buildings and renovations is often caused by ignorance of the laws of building physics. In the Building Physics 2 course, the following will be discussed, among other things
- Basics of sound insulation Frequency, wavelength, sound pressure, intensity, power, sound level, decibel, A-weighting, sound level addition, sound level subtraction, average level
- Room acoustics sound absorption, sound absorption coefficient, reverberation time, equivalent sound absorption area of a room, sound level reduction, sound absorbers and resonators, porous absorber, plate resonator, perforated and Helmholtz resonator, principles of room acoustic planning, arrangement of absorbers, reflectors and diffusers, diffuse and direct sound field, reverberation radius
- Sound propagation outdoorsSound propagation in open and built-up areas, propagation attenuation for point and line sources, level reduction through shielding (noise barriers)
- Building acoustics and sound insulationSound transmission in buildings for airborne sound, impact sound and external noise, airborne sound and impact sound insulation, airborne sound insulation, sound transmission coefficient, single and double-shell components, coincidence, coincidence cut-off frequency, resonance, resonance frequency, sound level difference, sound insulation coefficient, standard sound level difference, standard sound level difference, weighted sound reduction index / weighted building sound reduction index, weighted standard sound level difference, weighted standard sound level difference, sound reduction index of composite components, sound bridges, impact sound insulation, standard impact sound level, impact sound improvement factor, sound insulation against external noise, noise barriers, sound insulation against installation noise, longitudinal sound conduction, etc., technical building sound insulation, verifications in accordance with DIN 4109 (2016) and other current regulations
Teaching methods
Volesungen
Exercises
Exercises
Forms of examination
a. Examination in the form of a written exam (two parts)
Part 1: Calculation part (90 minutes, aids: formulary of the subject area SS 2018, calculator), maximum 90 points
Part 2: Comprehension questions (30 minutes, work without aids), max. 30 points
Requirements for the awarding of credit points
at least 50% of points achievable from a)
Importance of the grade for the final grade
Weighting of the above forms of examination for the module grade (in %) : 100%
Literature
Aktuelle Formelsammlung BP 2 des Fachbereiches (Ausgabe SS2018) M XX Blanko Modulbeschreibung
Stand: 25.03.2018
Aktuelle Aufgabensammlung BP 2 des Fachgebietes (Ausgabe SS2018) - Musteraufgaben zu DIN 4109
Die Aufgabensammlung, Formelsammlung und die Musteraufgaben sind ab der 3. Semesterwoche beim ASTA erhältlich.
Praxisnahe Grundlagen 2- PF
- 5 SWS
- 5 ECTS
- PF
- 5 SWS
- 5 ECTS
Number
10110
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
Development of properties taking into account cost-benefit analysis, market analysis, location analysis, risk analysis and profitability calculation with cost and income calculation
Contents
- Project development in architectural offices, authorities, banks and other organizations
- Participants in project development
- Functions and analyses of project development, carrying out project development on fictitious projects
Participation requirements
MF
Forms of examination
Examination of planning work
Requirements for the awarding of credit points
Successful final examination
Importance of the grade for the final grade
The final examination is made up of 50% presentation and 50% planning
3. Semester of study
Grundlagen der Signal- und Systemtheorie- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10130
Duration (semester)
1
Contact time
45 h
Self-study
75 h
Learning outcomes/competences
Students are proficient in describing signals and linear systems both
in the time domain (time-continuous and time-discrete) and in the frequency domain. They are familiar with
various time-to-frequency domain transformations and can apply them confidently and
appropriately. In addition, students are familiar with the fundamental properties of linear
systems and can evaluate them. Students are proficient in
distinguishing between deterministic and stochastic signals; they can determine and interpret the properties
of stochastic signals.
This basic theoretical knowledge required of an engineer in biomedical engineering or
information technology is reinforced through practical examples, enabling students to
independently apply this knowledge to other applications and draw appropriate conclusions from
the results obtained. With the methodological skills they have acquired,
students can independently and autonomously develop and evaluate potential solutions,
an important skill, particularly for development engineers.
in the time domain (time-continuous and time-discrete) and in the frequency domain. They are familiar with
various time-to-frequency domain transformations and can apply them confidently and
appropriately. In addition, students are familiar with the fundamental properties of linear
systems and can evaluate them. Students are proficient in
distinguishing between deterministic and stochastic signals; they can determine and interpret the properties
of stochastic signals.
This basic theoretical knowledge required of an engineer in biomedical engineering or
information technology is reinforced through practical examples, enabling students to
independently apply this knowledge to other applications and draw appropriate conclusions from
the results obtained. With the methodological skills they have acquired,
students can independently and autonomously develop and evaluate potential solutions,
an important skill, particularly for development engineers.
Contents
Signals: Classification, deterministic and stochastic signals, time-continuous and
time-discrete signals, special functions, Dirac impulse
Frequency transforms: continuous signals/systems: Fourier transform, Laplace transform, discrete Fourier transform, Z-transform, sampling theorem
System Description: Time-continuous and time-discrete systems, impulse and step responses,
convolution, bilinear transformation, stability
Treatment of Stochastic Signals: Random numbers, probability density function and cumulative distribution function,
Expected value, variance, autocovariance and cross-covariance, correlation, spectrum
Application examples: biomedicine, information technology, and communications technology
time-discrete signals, special functions, Dirac impulse
Frequency transforms: continuous signals/systems: Fourier transform, Laplace transform, discrete Fourier transform, Z-transform, sampling theorem
System Description: Time-continuous and time-discrete systems, impulse and step responses,
convolution, bilinear transformation, stability
Treatment of Stochastic Signals: Random numbers, probability density function and cumulative distribution function,
Expected value, variance, autocovariance and cross-covariance, correlation, spectrum
Application examples: biomedicine, information technology, and communications technology
Teaching methods
The lecture is designed to convey the theoretical content. In the exercises,
assignments are used to reinforce the theoretical material and illustrate the course content using practical examples
.
The seminars take place in small groups, where students can present and discuss their own solutions
.
assignments are used to reinforce the theoretical material and illustrate the course content using practical examples
.
The seminars take place in small groups, where students can present and discuss their own solutions
.
Participation requirements
Formal: None
Content: Knowledge of the module content: Mathematics 1 and 2
Content: Knowledge of the module content: Mathematics 1 and 2
Forms of examination
Module Exam: Fundamentals of Signal and System Theory:
Written Exam (120 min.)
Written Exam (120 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Applicability of the module (in other degree programs)
s (in other study programs)
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Biomedical Engineering, Biomedical Engineering with a practical/study abroad semester,
Information Technology, and Information Technology with a practical or study abroad semester)
Information Technology, and Information Technology with a practical or study abroad semester)
Literature
[1] Böhme, J.-F.
Stochastische Signale – mit Übungen und einem MATLAB-Praktikum, Vieweg + Teubner
[2] Fettweis, A.
Elemente nachrichtentechnischer Systeme, Schlembach
[3] Föllinger, O.
Laplace-, Fourier- und z-Transformation, Hüthig
[4] Girod, B., Rabenstein, R. und Stenger, A.
Einführung in die Systemtheorie, Vieweg + Teubner
[5] Jondral, F., Wiesler, A.
Grundlagen der Wahrscheinlichkeitsrechnung und stochastische Prozesse für Ingenieure
[6] McClellan, J.H. und Schafer, R.W.
DSP First – A Multimedia Approach, Prentice Hall
[7] Mildenberger, O.
Informationstechnik kompakt, Vieweg
[8] Ohm, J.-R., Lüke, H.D.
Signalübertragung – Grundlagen digitaler und analoger Nachrichtenübertragungssysteme,
Springer
[9] Oppenheim, A.V., Schafer, R.W. und Buck, J.R.
Zeitdiskrete Signalverarbeitung, Pearson Studium
[10] Papoulis, A., Pillai, S.U.
Probability, Random Variables and Stochastic Processes, McGraw Hill
[11] Scheithauer, R.
Signale und Systeme, Vieweg + Teubner
[12] von Grünigen, D.C.
Digitale Signalverarbeitung, Hanser Fachbuchverlag
[13] Werner, M.
Digitale Signalverarbeitung mit MATLAB – Grundkurs mit 16 ausführlichen Versuchen, Vieweg
+ Teubner
Stochastische Signale – mit Übungen und einem MATLAB-Praktikum, Vieweg + Teubner
[2] Fettweis, A.
Elemente nachrichtentechnischer Systeme, Schlembach
[3] Föllinger, O.
Laplace-, Fourier- und z-Transformation, Hüthig
[4] Girod, B., Rabenstein, R. und Stenger, A.
Einführung in die Systemtheorie, Vieweg + Teubner
[5] Jondral, F., Wiesler, A.
Grundlagen der Wahrscheinlichkeitsrechnung und stochastische Prozesse für Ingenieure
[6] McClellan, J.H. und Schafer, R.W.
DSP First – A Multimedia Approach, Prentice Hall
[7] Mildenberger, O.
Informationstechnik kompakt, Vieweg
[8] Ohm, J.-R., Lüke, H.D.
Signalübertragung – Grundlagen digitaler und analoger Nachrichtenübertragungssysteme,
Springer
[9] Oppenheim, A.V., Schafer, R.W. und Buck, J.R.
Zeitdiskrete Signalverarbeitung, Pearson Studium
[10] Papoulis, A., Pillai, S.U.
Probability, Random Variables and Stochastic Processes, McGraw Hill
[11] Scheithauer, R.
Signale und Systeme, Vieweg + Teubner
[12] von Grünigen, D.C.
Digitale Signalverarbeitung, Hanser Fachbuchverlag
[13] Werner, M.
Digitale Signalverarbeitung mit MATLAB – Grundkurs mit 16 ausführlichen Versuchen, Vieweg
+ Teubner
Informatik 3- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10162
Duration (semester)
1
Kommunikationsnetze und IT-Sicherheit- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10151
Duration (semester)
1
Learning outcomes/competences
Students are able to design and implement networked IT systems using recognized and standard
standards, with a particular focus on IT security.
They are familiar with the problems and tasks involved in IT networking and can
approach and solve them methodically.
standards, with a particular focus on IT security.
They are familiar with the problems and tasks involved in IT networking and can
approach and solve them methodically.
Contents
Structure and Architecture of the Internet
DoD and ISO/OSI Models
Addressing Issues and Solutions in the Lower Four Layers
Routing
Switching, Methods, Problems, and Protocols, e.g., STP, VLAN, PPP
Network protocols, especially IPv4/v6, subnetting, routing methods and protocols
(external and internal gateways)
Transport protocols, especially UDP, TCP, alternative examples: QUIC, MPTCP, etc.
TCP issues and solutions / variants (see also QoS), interaction with queuing and traffic shaping methods
Protocols and methods at higher layers, e.g., RTP and SIP, services and service protocols,
e.g., ZC, DHCP, DNS
Network elements, routers, switches, end devices, outlook on SDN
Quality of Service, Int/DiffServ, RSVP, MLPS, classful/classless queuing
Security requirements and mechanisms and their implementation in distributed systems
Introduction to threats and vulnerabilities, e.g., across the OSI layers, including Layer 8,
Kerckhoff’s Principles
Firewalls and Netfilter
Integrity / Hash Functions and Methods, MAC/HMAC, password encryption (e.g., PBKDF)
Overview of historical encryption methods, fundamentals of modern symmetric and
asymmetric encryption, algorithm examples (DES, AES, RSA, Elgamal, EC), key exchange
hierarchical PKI (e.g., X.509 certificate-based) vs. Web of Trust (e.g., OpenPGP),
Signature schemes
Securing data exchange and services at various layers, e.g., IPsec with IKEv1/v2,
e.g., SSH/OpenSSH, SSL/TLS with HTTPS, e.g., DNSsec
security management and frameworks, e.g., ISO 27000, IT-Grundschutz, institutions (NIST, BSI).
DoD and ISO/OSI Models
Addressing Issues and Solutions in the Lower Four Layers
Routing
Switching, Methods, Problems, and Protocols, e.g., STP, VLAN, PPP
Network protocols, especially IPv4/v6, subnetting, routing methods and protocols
(external and internal gateways)
Transport protocols, especially UDP, TCP, alternative examples: QUIC, MPTCP, etc.
TCP issues and solutions / variants (see also QoS), interaction with queuing and traffic shaping methods
Protocols and methods at higher layers, e.g., RTP and SIP, services and service protocols,
e.g., ZC, DHCP, DNS
Network elements, routers, switches, end devices, outlook on SDN
Quality of Service, Int/DiffServ, RSVP, MLPS, classful/classless queuing
Security requirements and mechanisms and their implementation in distributed systems
Introduction to threats and vulnerabilities, e.g., across the OSI layers, including Layer 8,
Kerckhoff’s Principles
Firewalls and Netfilter
Integrity / Hash Functions and Methods, MAC/HMAC, password encryption (e.g., PBKDF)
Overview of historical encryption methods, fundamentals of modern symmetric and
asymmetric encryption, algorithm examples (DES, AES, RSA, Elgamal, EC), key exchange
hierarchical PKI (e.g., X.509 certificate-based) vs. Web of Trust (e.g., OpenPGP),
Signature schemes
Securing data exchange and services at various layers, e.g., IPsec with IKEv1/v2,
e.g., SSH/OpenSSH, SSL/TLS with HTTPS, e.g., DNSsec
security management and frameworks, e.g., ISO 27000, IT-Grundschutz, institutions (NIST, BSI).
Teaching methods
The lecture is designed to convey theoretical content. In the exercises,
mathematical methods are applied and the theoretical material is explored in greater depth.
mathematical methods are applied and the theoretical material is explored in greater depth.
Participation requirements
Formatting: none
Content: none
Content: none
Forms of examination
Module Exam: Communication Networks and IT Security:
Written Exam (90 min.)
Written Exam (90 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
Konkrete Empfehlungen und Verweise erfolgen in der Veranstaltung.
Messtechnik und Fehlerrechnung- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10182
Duration (semester)
1
Mobile Robotik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10323
Duration (semester)
1
Modellbildung & Simulation für die Digitalen Technologien- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10191
Duration (semester)
1
Modellbildung & Simulation für die Informationstechnik (IM, RO)- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10192
Duration (semester)
1
Praxisnahe Grundlagen 3- PF
- 5 SWS
- 5 ECTS
- PF
- 5 SWS
- 5 ECTS
Number
10200
Duration (semester)
1
Robotik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10153
Duration (semester)
1
Learning outcomes/competences
Part 1:
Students will be able to…
• identify basic types of robots and their components, such as actuators, sensors, effectors
and control units, as well as how they interact
• identify the hazards posed by autonomous systems and the necessary safety and protective measures
• establish mathematical relationships to describe robot forward kinematics
and apply methods for calculating positions and orientations in
various coordinate systems
• Use robot software tools to
program
fixed motion sequences for a robot
• use tools such as MATLAB/Simulink or other toolboxes to solve practical
robotics tasks (e.g., “pick and place”)
Part 2:
• describe the different types and characteristics of mobile robots
• Describe the basic functioning of various sensors that mobile robots use to
perceive their environment and determine their own 3D orientation and position as well as the location
of other objects in space
• Explain the characteristics and fields of application of UAVs (Unmanned Aerial Vehicles)—
particularly drones and quadcopters—
• explain the relationship between the control of a quadcopter’s four rotors and
its altitude, orientation, and position
• use unit quaternions for the mathematical representation of 3D orientation as well as for
applying rotational transformations
• mathematically process the sensor data of a quadcopter (3D acceleration, 3D gyroscope, ultrasonic data
etc.), using MATLAB/Simulink and the Robotics Toolbox to mathematically
process this data in such a way that it can, among other things, determine the quadcopter’s pose and velocity
Students will be able to…
• identify basic types of robots and their components, such as actuators, sensors, effectors
and control units, as well as how they interact
• identify the hazards posed by autonomous systems and the necessary safety and protective measures
• establish mathematical relationships to describe robot forward kinematics
and apply methods for calculating positions and orientations in
various coordinate systems
• Use robot software tools to
program
fixed motion sequences for a robot
• use tools such as MATLAB/Simulink or other toolboxes to solve practical
robotics tasks (e.g., “pick and place”)
Part 2:
• describe the different types and characteristics of mobile robots
• Describe the basic functioning of various sensors that mobile robots use to
perceive their environment and determine their own 3D orientation and position as well as the location
of other objects in space
• Explain the characteristics and fields of application of UAVs (Unmanned Aerial Vehicles)—
particularly drones and quadcopters—
• explain the relationship between the control of a quadcopter’s four rotors and
its altitude, orientation, and position
• use unit quaternions for the mathematical representation of 3D orientation as well as for
applying rotational transformations
• mathematically process the sensor data of a quadcopter (3D acceleration, 3D gyroscope, ultrasonic data
etc.), using MATLAB/Simulink and the Robotics Toolbox to mathematically
process this data in such a way that it can, among other things, determine the quadcopter’s pose and velocity
Contents
Part 1:
• Introduction to Robotics (types of robots and typical tasks, safety considerations)
• Mathematical Fundamentals (coordinate systems, positions, and orientations in 2D and
3D space)
• Forward kinematics of articulated-arm robots
• Use of software tools (simulation and programming of robotic systems)
• Hands-on work with real-world application examples (use cases)
Part 2:
• Introduction to Mobile Robotics:
o Definition of mobile robots, classification, and application examples
o Overview of: proximity sensors (infrared, ultrasonic, LIDAR), optical sensors
(stereo vision, optical flow, depth camera), GPS, inertial sensors (accelerometer and gyroscope)
o Application areas of drones
• Controlling the pose of a drone or quadcopter (rotor control to
adjust the thrust, roll, pitch, and yaw parameters)
• 3D orientation representation using unit quaternions
• 3D orientation and position determination using 3D acceleration and gyro data
• Introduction to Robotics (types of robots and typical tasks, safety considerations)
• Mathematical Fundamentals (coordinate systems, positions, and orientations in 2D and
3D space)
• Forward kinematics of articulated-arm robots
• Use of software tools (simulation and programming of robotic systems)
• Hands-on work with real-world application examples (use cases)
Part 2:
• Introduction to Mobile Robotics:
o Definition of mobile robots, classification, and application examples
o Overview of: proximity sensors (infrared, ultrasonic, LIDAR), optical sensors
(stereo vision, optical flow, depth camera), GPS, inertial sensors (accelerometer and gyroscope)
o Application areas of drones
• Controlling the pose of a drone or quadcopter (rotor control to
adjust the thrust, roll, pitch, and yaw parameters)
• 3D orientation representation using unit quaternions
• 3D orientation and position determination using 3D acceleration and gyro data
Teaching methods
The lecture is designed to convey the theoretical content. In the exercises, students deepen their understanding of and practice the theoretical material through
a variety of assignments. In two
practical projects, students independently apply the knowledge they have acquired to solve
practical problems.
a variety of assignments. In two
practical projects, students independently apply the knowledge they have acquired to solve
practical problems.
Participation requirements
Formal: none
Content: Knowledge of the module content:
o Mathematics 1 and 2
o Practical Fundamentals 1 and 2
Content: Knowledge of the module content:
o Mathematics 1 and 2
o Practical Fundamentals 1 and 2
Forms of examination
Exams held throughout the semester in the form of projects that include a presentation and an oral exam.
Requirements for the awarding of credit points
Module examination must be passed
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
[1] Corke: Robotics, Vision and Control, Springer
[2] Herzberg: Mobile Roboter, Springer
[3] Papula: Mathematik für Ingenieure und Naturwissenschaftler, Bd. 1+2, Vieweg
[4] Hoffman: MATLAB und SIMULINK, Addison-Wesley
[2] Herzberg: Mobile Roboter, Springer
[3] Papula: Mathematik für Ingenieure und Naturwissenschaftler, Bd. 1+2, Vieweg
[4] Hoffman: MATLAB und SIMULINK, Addison-Wesley
Smart Mobility - PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10152
Duration (semester)
1
Übertragungstechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10181
Duration (semester)
1
Contact time
90 h
Self-study
120 h
Learning outcomes/competences
- After attending the course, students will be able to design a building with simple planning requirements by further developing the skills acquired in the basics of design in the development of design solutions in concept, elaboration and presentation as well as their visual (drawing, model) and rhetorical expression techniques
- to subsequently be able to work on designs with average planning requirements (Design 2) .
Contents
Contents
Lecture "groundings" (Prof. Flammang):
Exercises:
- Designing places, buildings and rooms with simple planning requirements, i.e. with e.g:
Lecture "groundings" (Prof. Flammang):
- Differentiation of basic conceptual approaches to a design, demonstrated using historical and current examples. Explanation of related contexts and interactions.
Exercises:
- Designing places, buildings and rooms with simple planning requirements, i.e. with e.g:
- Integration into the surroundings
- few functional areas
- simple expansion
- Teaching academic working techniques (e.g. research, presentations)
Teaching methods
Lectures
Exercises
Exercises
Participation requirements
GE + GG
Forms of examination
Project-related work with documentation and its presentation with an oral examination ungraded semester-accompanying examinations
Requirements for the awarding of credit points
Passing at least 50% of the ungraded semester-accompanying examinations
Project-related work with documentation and its presentation with an oral examination
Importance of the grade for the final grade
100% oral examination
4. Semester of study
Automotive Systems Engineering- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10252
Duration (semester)
1
Autonome Systeme- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10241
Duration (semester)
1
Learning outcomes/competences
Students gain knowledge of the architecture of autonomous systems and the design
of such systems in IP networks.
Subject-Specific and Methodological Competencies:
• Defining, documenting, and evaluating architectures of autonomous systems
• Describing the architecture and design process while taking into account data protection,
data security, confidentiality, and integrity (security by design)
• Understanding the principles of software architectures as well as standard procedures and
interfaces of distributed knowledge-based systems
• Understanding the concepts of object-oriented design and the interoperability
of various software modules as well as the integration of services
• Design, implementation, testing, and documentation of exemplary applications
• Consideration of performance, runtime behavior, and service quality
Interdisciplinary methodological competence:
• Systems thinking
• Designing and documenting target systems and services
• Specifying data structures and models as well as interfaces and protocols
• Semantic description of services in autonomous systems
• Process-oriented approach
Social skills:
• Working in small teams
• Results-oriented group work
of such systems in IP networks.
Subject-Specific and Methodological Competencies:
• Defining, documenting, and evaluating architectures of autonomous systems
• Describing the architecture and design process while taking into account data protection,
data security, confidentiality, and integrity (security by design)
• Understanding the principles of software architectures as well as standard procedures and
interfaces of distributed knowledge-based systems
• Understanding the concepts of object-oriented design and the interoperability
of various software modules as well as the integration of services
• Design, implementation, testing, and documentation of exemplary applications
• Consideration of performance, runtime behavior, and service quality
Interdisciplinary methodological competence:
• Systems thinking
• Designing and documenting target systems and services
• Specifying data structures and models as well as interfaces and protocols
• Semantic description of services in autonomous systems
• Process-oriented approach
Social skills:
• Working in small teams
• Results-oriented group work
Contents
• Introduction to automated and autonomous technical systems that interact closely with
people, semi-autonomy, autonomous behavior
• Perception:
multisensor data fusion, localization, navigation and mapping, object recognition
• Planning and execution:
Task decomposition, reactive behavior, pre-planned behavior based on knowledge and skills
, behavior transfer, learning
• Architectures:
Behavior-oriented approaches, expert systems, knowledge bases, multi-level control/regulation concepts
• Exemplary Applications:
autonomous mobile service robots, humanoid walking machines, telepresence systems,
smart home, smart building, and smart city systems
• Software architectures, services, and systems
• Design of distributed autonomous software systems
• Software Design with UML
• Object-Oriented Software Design Patterns
• Communication and Interaction of Distributed Subsystems
• Communication Protocols in the Internet of Things
• Model-Based Software Development
• Application of a Systematic Development Process
with IDE, Documentation, and Test Strategies
people, semi-autonomy, autonomous behavior
• Perception:
multisensor data fusion, localization, navigation and mapping, object recognition
• Planning and execution:
Task decomposition, reactive behavior, pre-planned behavior based on knowledge and skills
, behavior transfer, learning
• Architectures:
Behavior-oriented approaches, expert systems, knowledge bases, multi-level control/regulation concepts
• Exemplary Applications:
autonomous mobile service robots, humanoid walking machines, telepresence systems,
smart home, smart building, and smart city systems
• Software architectures, services, and systems
• Design of distributed autonomous software systems
• Software Design with UML
• Object-Oriented Software Design Patterns
• Communication and Interaction of Distributed Subsystems
• Communication Protocols in the Internet of Things
• Model-Based Software Development
• Application of a Systematic Development Process
with IDE, Documentation, and Test Strategies
Teaching methods
Lecture involving student interaction, with board notes and projections
and blended learning elements.
Completing programming assignments on computers, either individually or in teams.
Building systems and testing runtime and response times under real-time conditions.
and blended learning elements.
Completing programming assignments on computers, either individually or in teams.
Building systems and testing runtime and response times under real-time conditions.
Participation requirements
Formal: At least 45 ECTS credits must be earned. These must include the
full 30 ECTS credits from the first semester.
Content: Programming skills, e.g., C, C++, Java,
basic knowledge of operating systems, e.g., Linux
IP protocols for IoT systems
full 30 ECTS credits from the first semester.
Content: Programming skills, e.g., C, C++, Java,
basic knowledge of operating systems, e.g., Linux
IP protocols for IoT systems
Forms of examination
Autonomous Systems Module Exam:
Written Exam (90 min.)
Written Exam (90 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
[1] R. Siegwart, I. R. Nourbakhsh, Autonomous Mobile Robots, MIT Press 2004
[2] S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press 2005
[3] S. M. LaValle, Planning Algorithms, Cambridge University Press 2006
[4] M. Wooldridge, An Introduction to MultiAgent Systems, Wiley 2009
[5] Heide Balzert: Lehrbuch der Objektmodellierung - Analyse und Entwurf mit der UML 2,
Akademischer Verlag 2011
[6] Gernot Starke: Effektive Software-Architekturen - Ein praktischer Leitfaden,
Hanser, 7. Auflage 2015
[7] E. Gamma, R. Helm, R. Johson, J. Vlissides; Design Patterns: Elements of Reusable ObjectOriented Software; Addison-Wesley, 1995
[8] Stephan Kleuker; Grundkurs Software-Engineering mit UML,
Vieweg-Teubner Verlag, 2009
[2] S. Thrun, W. Burgard, D. Fox, Probabilistic Robotics, MIT Press 2005
[3] S. M. LaValle, Planning Algorithms, Cambridge University Press 2006
[4] M. Wooldridge, An Introduction to MultiAgent Systems, Wiley 2009
[5] Heide Balzert: Lehrbuch der Objektmodellierung - Analyse und Entwurf mit der UML 2,
Akademischer Verlag 2011
[6] Gernot Starke: Effektive Software-Architekturen - Ein praktischer Leitfaden,
Hanser, 7. Auflage 2015
[7] E. Gamma, R. Helm, R. Johson, J. Vlissides; Design Patterns: Elements of Reusable ObjectOriented Software; Addison-Wesley, 1995
[8] Stephan Kleuker; Grundkurs Software-Engineering mit UML,
Vieweg-Teubner Verlag, 2009
Connected Car und V2X- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10242
Duration (semester)
1
Learning outcomes/competences
Students acquire knowledge of the information technology fundamentals of connected and
automated mobility.
Subject-Specific and Methodological Competencies:
• Students can document and evaluate use cases for various aspects of V2X,
and define requirements for communication channels.
• Students understand the basic principles of modern cellular networks, including
modulation schemes
• Students can describe various standards and their differences with regard to, for example,
network architectures and compare them with technical requirements such as
security aspects.
• Students can evaluate various effects and requirements such as latency, Doppler shift, and
fading.
• Students analyze performance, propagation characteristics, and quality of service.
• Students understand edge solutions.
Interdisciplinary methodological competence:
• Systems thinking
• Designing and documenting target systems and services
• Specifying use cases and requirements
• Process-oriented approach
Social Competence:
• Working in small teams
• Results-oriented group work
automated mobility.
Subject-Specific and Methodological Competencies:
• Students can document and evaluate use cases for various aspects of V2X,
and define requirements for communication channels.
• Students understand the basic principles of modern cellular networks, including
modulation schemes
• Students can describe various standards and their differences with regard to, for example,
network architectures and compare them with technical requirements such as
security aspects.
• Students can evaluate various effects and requirements such as latency, Doppler shift, and
fading.
• Students analyze performance, propagation characteristics, and quality of service.
• Students understand edge solutions.
Interdisciplinary methodological competence:
• Systems thinking
• Designing and documenting target systems and services
• Specifying use cases and requirements
• Process-oriented approach
Social Competence:
• Working in small teams
• Results-oriented group work
Contents
• Vehicle-to-Vehicle, Vehicle-to-Infrastructure, and Vehicle-to-Network Communication
• Use Cases
• Requirements (including data rate, latency, security)
• 5G Mobile Networks
• 802.11p / ITS-G5
• 3GPP / 5GAA
• Edge computing
• Outlook for 6G
• Use Cases
• Requirements (including data rate, latency, security)
• 5G Mobile Networks
• 802.11p / ITS-G5
• 3GPP / 5GAA
• Edge computing
• Outlook for 6G
Teaching methods
Lecture involving student interaction, with board notes, projections, and blended
learning elements.
Completion of programming assignments on computers, either individually or in teams, to simulate
communication channels.
learning elements.
Completion of programming assignments on computers, either individually or in teams, to simulate
communication channels.
Participation requirements
Formal: At least 45 ECTS credits must be earned. These must include the
full 30 ECTS credits from the first semester.
Content: Programming skills, e.g., C, C++, Java,
Basic knowledge of operating systems, e.g., Linux
IP protocols for IoT systems
full 30 ECTS credits from the first semester.
Content: Programming skills, e.g., C, C++, Java,
Basic knowledge of operating systems, e.g., Linux
IP protocols for IoT systems
Forms of examination
Connected Car and V2X Module Exam:
Written exam (90 min.)
Written exam (90 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Literature
[1] Fallgren, Dillinger, Mahmoodi, Svensson, Cellular V2X for Connected Automated Driving,
Wiley, 2021
[2] Trick, 5G: Eine Einführung in die Mobilfunknetze der 5. Generation, De Gruyter Oldenbourg,
2020
[3] Grundkurs Mobile Kommunikationssysteme: LTE-Advanced Pro, UMTS, HSPA, GSM, GPRS,
Wireless LAN und Bluetooth, Springer, 2018
[4] The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge
Computing, palgrave macmilan, 2020
[5] Mueck, Karls, Networking Vehicles to Everything, De|G Press, 2017
[6] Sommer C.; Dressler F.: Vehicular Networking. Cambridge University Press 2014
[7] 3GPP TR 22.885 Study on LTE Support for Vehicle to Everything (V2X) Services
Wiley, 2021
[2] Trick, 5G: Eine Einführung in die Mobilfunknetze der 5. Generation, De Gruyter Oldenbourg,
2020
[3] Grundkurs Mobile Kommunikationssysteme: LTE-Advanced Pro, UMTS, HSPA, GSM, GPRS,
Wireless LAN und Bluetooth, Springer, 2018
[4] The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge
Computing, palgrave macmilan, 2020
[5] Mueck, Karls, Networking Vehicles to Everything, De|G Press, 2017
[6] Sommer C.; Dressler F.: Vehicular Networking. Cambridge University Press 2014
[7] 3GPP TR 22.885 Study on LTE Support for Vehicle to Everything (V2X) Services
Fachpraktikum 1 Informationstechnik- PF
- 5 SWS
- 5 ECTS
- PF
- 5 SWS
- 5 ECTS
Number
10281
Duration (semester)
1
Informatik 4- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10163
Duration (semester)
1
Schlüsselqualifikationen- PF
- 4 SWS
- 4 ECTS
- PF
- 4 SWS
- 4 ECTS
Number
10270
Duration (semester)
1
Sensorik und Simulation- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10253
Duration (semester)
1
Signalverarbeitung & Regelungstechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10220
Duration (semester)
1
Learning outcomes/competences
Students are familiar with the essential properties of sampled signals and their
processing in sampling systems, as well as the interface challenges between analog and digital
systems, and know how to evaluate these properties as advantages or disadvantages
depending on the specific task.
They are familiar with several fundamental methods of signal analysis and processing and have
gained initial experience with practical implementation, particularly in the exercises.
The technical expertise gained throughout the module enables students to develop modern products for demanding signal processing applications in a targeted and independent manner. This applies to both analog and digital signals in the context of time- or
frequency analysis.
Students understand the description of the control-theoretic properties of typical systems as controlled systems and
the design of corresponding controllers under the assumption of stable system behavior, and can apply this knowledge in a targeted manner. Students have mastered
the fundamental principles of control engineering and the cross-system, engineering-based—i.e.,
graphical—modeling of arbitrary physical systems using the block diagram
(structure diagram methodology). They possess the ability to analyze linear, time-invariant
control-loop systems with regard to stability, transient behavior, and steady-state accuracy. The
students can independently apply the methods and procedures for the design (synthesis) and technical
implementation of controllers.
processing in sampling systems, as well as the interface challenges between analog and digital
systems, and know how to evaluate these properties as advantages or disadvantages
depending on the specific task.
They are familiar with several fundamental methods of signal analysis and processing and have
gained initial experience with practical implementation, particularly in the exercises.
The technical expertise gained throughout the module enables students to develop modern products for demanding signal processing applications in a targeted and independent manner. This applies to both analog and digital signals in the context of time- or
frequency analysis.
Students understand the description of the control-theoretic properties of typical systems as controlled systems and
the design of corresponding controllers under the assumption of stable system behavior, and can apply this knowledge in a targeted manner. Students have mastered
the fundamental principles of control engineering and the cross-system, engineering-based—i.e.,
graphical—modeling of arbitrary physical systems using the block diagram
(structure diagram methodology). They possess the ability to analyze linear, time-invariant
control-loop systems with regard to stability, transient behavior, and steady-state accuracy. The
students can independently apply the methods and procedures for the design (synthesis) and technical
implementation of controllers.
Contents
Signal Processing:
Introduction (History, Context, Motivation)
Notation, Signal Classification, Analog/Digital Elementary Signals, Periodic Signals,
Symmetries, Analog/Time-Discrete/Quantized/Digital Signals, Digital Elementary Signals,
Signal Analysis/Representation, Frequency/Transform Domain
Fourier Series, Fourier Transform, Properties of the FT Important for Communications Engineering (linearity,
shift, scaling, differentiation, convolution, symmetries)
Sampling / reconstruction, periodic spectra, ambiguity, aliasing, anti-aliasing filtering,
Spectral analysis of time-discrete signals / computational problem, DFT as an FT of a specific
class of signals, relationship between FT, FR, and the FT of discrete signals / DFT
Examples of DFTs of some signals, distinction from the FT, DFT/FFT for spectral measurements, problems
with non-integer frequency indices, time- and frequency-domain interpretation, zero-padding,
leakage effect, windowing, construction of window functions (Hann, Hamming, Blackman,
Bartlett/triangular), performance parameters
Description of continuous and discrete LTI systems, Fourier transform,
convolution integral/sum (including efficient computation/implementation in the frequency domain),
FIR filters, design using the windowing method, (non-)causality, linear phase, discrete convolution,
cyclic and acyclic convolution, overconvolution effects, Overlap-Add method
Fast Fourier transform (FFT), butterfly structure, complexity estimation/comparison, inverse
DFT/FFT, relationship with DFT/FFT, Symmetries in purely real/imaginary signals, efficient
FFT application
Discrete and recursive LTI systems, description using difference equations, (recursive)
computation, introduction of the z-transform as a “computational trick,” closed-form solution via the z-transform, Partial fraction decomposition (solution of the linear system of linear equations / residue calculation)
z-transform of some signals, properties, transfer/system function, solution of
difference equations using the z-transform, location of poles/zeros <-> Effect on
impulse response, comparison to the solution of ordinary differential equations with constant coefficients via substitution
and Laplace transform
Stability: BIBO, conditions on poles in the s-/z-domain, coefficient triangle for a complex pair of poles
Relationship between Laplace and z-transforms, mapping of the s-/psi-/z-planes
IIR filters: Design process, s-, psi-, and z-planes, approximation of the attenuation behavior (Butterworth,
Chebyshev) Bilinear transformation, spectral transformation (TP, HP, BP, BSp.), significance of
poles in the complex planes
FIR filters revisited, digital filter structures: Sensitivity, direct structure, cascade structure,
parallel structure
Introduction (History, Context, Motivation)
Notation, Signal Classification, Analog/Digital Elementary Signals, Periodic Signals,
Symmetries, Analog/Time-Discrete/Quantized/Digital Signals, Digital Elementary Signals,
Signal Analysis/Representation, Frequency/Transform Domain
Fourier Series, Fourier Transform, Properties of the FT Important for Communications Engineering (linearity,
shift, scaling, differentiation, convolution, symmetries)
Sampling / reconstruction, periodic spectra, ambiguity, aliasing, anti-aliasing filtering,
Spectral analysis of time-discrete signals / computational problem, DFT as an FT of a specific
class of signals, relationship between FT, FR, and the FT of discrete signals / DFT
Examples of DFTs of some signals, distinction from the FT, DFT/FFT for spectral measurements, problems
with non-integer frequency indices, time- and frequency-domain interpretation, zero-padding,
leakage effect, windowing, construction of window functions (Hann, Hamming, Blackman,
Bartlett/triangular), performance parameters
Description of continuous and discrete LTI systems, Fourier transform,
convolution integral/sum (including efficient computation/implementation in the frequency domain),
FIR filters, design using the windowing method, (non-)causality, linear phase, discrete convolution,
cyclic and acyclic convolution, overconvolution effects, Overlap-Add method
Fast Fourier transform (FFT), butterfly structure, complexity estimation/comparison, inverse
DFT/FFT, relationship with DFT/FFT, Symmetries in purely real/imaginary signals, efficient
FFT application
Discrete and recursive LTI systems, description using difference equations, (recursive)
computation, introduction of the z-transform as a “computational trick,” closed-form solution via the z-transform, Partial fraction decomposition (solution of the linear system of linear equations / residue calculation)
z-transform of some signals, properties, transfer/system function, solution of
difference equations using the z-transform, location of poles/zeros <-> Effect on
impulse response, comparison to the solution of ordinary differential equations with constant coefficients via substitution
and Laplace transform
Stability: BIBO, conditions on poles in the s-/z-domain, coefficient triangle for a complex pair of poles
Relationship between Laplace and z-transforms, mapping of the s-/psi-/z-planes
IIR filters: Design process, s-, psi-, and z-planes, approximation of the attenuation behavior (Butterworth,
Chebyshev) Bilinear transformation, spectral transformation (TP, HP, BP, BSp.), significance of
poles in the complex planes
FIR filters revisited, digital filter structures: Sensitivity, direct structure, cascade structure,
parallel structure
Softwaretechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10251
Duration (semester)
1
Neurophysiologie 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10408
Duration (semester)
1
Systembiologie 2: Systemtheorie- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10427
Duration (semester)
1
Angewandte Biosignalverarbeitung - Einf. In maschinelle Lernverfahren- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10416
Duration (semester)
1
Angewandte Biosignalverarbeitung - Schlagdetektion- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10404
Duration (semester)
1
Ausgewählte Kapitel der Digitalen Technologien 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10418
Duration (semester)
1
Ausgewählte Kapitel der Digitalen Technologien 2- WP
- 2 SWS
- 6 ECTS
- WP
- 2 SWS
- 6 ECTS
Number
10419
Duration (semester)
1
Ausgewählte Softwaresysteme - Programmierung IV- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10402
Duration (semester)
1
Automotive Systems- WP
- 2 SWS
- 5 ECTS
- WP
- 2 SWS
- 5 ECTS
Number
10434
Duration (semester)
1
Contact time
60 h
Self-study
120 h
Learning outcomes/competences
Development of daylight and artificial lighting planning skills
Contents
Optionally from the fields of lighting design, lighting planning, lighting simulation
Participation requirements
MF
Forms of examination
Examination of planning work with discussion
Requirements for the awarding of credit points
Passing the examination of planning work
Importance of the grade for the final grade
100% Inspection of planning work
Bewegungsanalyse- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10432
Duration (semester)
1
Bildgebende Verfahren der Medizintechnik 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10405
Duration (semester)
1
Bildgebende Verfahren der Medizintechnik 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10415
Duration (semester)
1
Cyber Security 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10423
Duration (semester)
1
Cyber Security 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10430
Duration (semester)
1
Digitale Signalverarbeitung 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10414
Duration (semester)
1
Digitale Signalverarbeitung für (Mobil-)Kommunikationssysteme- WP
- 2 SWS
- 6 ECTS
- WP
- 2 SWS
- 6 ECTS
Number
10420
Duration (semester)
1
EM Design- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10428
Duration (semester)
1
Einführung in Maschinelles Lernen und Künstliche Intelligenz- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10407
Duration (semester)
1
Einführung in die Radartechnik- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10445
Language(s)
de
Duration (semester)
1
Embedded Systems Hardware Design and Rapid Prototyping- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10421
Duration (semester)
1
Extended Reality- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10429
Duration (semester)
1
Extended Reality 2- WP
- 4 SWS
- 6 ECTS
- WP
- 4 SWS
- 6 ECTS
Number
10433
Duration (semester)
1
Grundlagen der Mensch-Computer-Interaktion- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10424
Duration (semester)
1
IoT-Protokolle- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10435
Duration (semester)
1
Mathematik Ergänzungen 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10406
Duration (semester)
1
Mathematik Ergänzungen 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10412
Duration (semester)
1
Medizinische Signalverarbeitung- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10403
Duration (semester)
1
Neurophysiologie 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10409
Duration (semester)
1
RMS anerk.- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
RMS
Duration (semester)
1
RMS anerk.- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
RMS
Duration (semester)
1
Regulatorische Grundlagen für Medizinprodukte - Teil I - WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10437
Duration (semester)
1
Regulatorische Grundlagen für Medizinprodukte - Teil II- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10438
Duration (semester)
1
Robotik 1- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10442
Duration (semester)
1
Robotik 2- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10443
Duration (semester)
1
Sensorik- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10411
Duration (semester)
1
Softwareentwicklung robotischer Systeme mit ROS - WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10444
Duration (semester)
1
Systembiologie 1: biologische Netzwerke- WP
- 2 SWS
- 3 ECTS
- WP
- 2 SWS
- 3 ECTS
Number
10426
Duration (semester)
1
5. Semester of study
Fachpraktikum 2 Informationstechnik- PF
- 5 SWS
- 5 ECTS
- PF
- 5 SWS
- 5 ECTS
Number
10350
Duration (semester)
1
Projektorientiertes Arbeiten 1- PF
- 4 SWS
- 4 ECTS
- PF
- 4 SWS
- 4 ECTS
Number
10340
Duration (semester)
1
Seminar Informationstechnik- PF
- 4 SWS
- 5 ECTS
- PF
- 4 SWS
- 5 ECTS
Number
10300
Duration (semester)
1
Learning outcomes/competences
Key Competencies: After receiving a general introduction to a
subject-specific topic, students can explain its most important concepts. Furthermore, they can identify the fundamentals of
scientific work. They can identify the most important findings on a topic
and summarize them in writing as part of a research paper. Students are
able to present their newly acquired knowledge in a concise and clear manner through a presentation
. They can answer questions from the audience in a targeted and accurate manner based on the knowledge they have gained.
Students can explain various presentation techniques, apply them, and
in this way present the knowledge they have acquired to an interested audience in a clear and
understandable manner.
subject-specific topic, students can explain its most important concepts. Furthermore, they can identify the fundamentals of
scientific work. They can identify the most important findings on a topic
and summarize them in writing as part of a research paper. Students are
able to present their newly acquired knowledge in a concise and clear manner through a presentation
. They can answer questions from the audience in a targeted and accurate manner based on the knowledge they have gained.
Students can explain various presentation techniques, apply them, and
in this way present the knowledge they have acquired to an interested audience in a clear and
understandable manner.
Contents
This seminar covers the fundamentals of academic work, literature and
source research and evaluation, information processing, academic
expression in both spoken and written form, as well as the design and delivery of presentations.
The seminar covers subject-specific topics in information technology, with
a focus on digital technologies, the Internet of Things, smart mobility,
and robotics. The topics represent current extensions of the specialized lectures and are
assigned to students individually. The results of the students’ work are presented, and the
understanding they have gained is critically examined. In addition, the knowledge acquired must be documented in a
written report. Through the written report and the
presentation, key skills in written and oral communication are
practiced and developed.
source research and evaluation, information processing, academic
expression in both spoken and written form, as well as the design and delivery of presentations.
The seminar covers subject-specific topics in information technology, with
a focus on digital technologies, the Internet of Things, smart mobility,
and robotics. The topics represent current extensions of the specialized lectures and are
assigned to students individually. The results of the students’ work are presented, and the
understanding they have gained is critically examined. In addition, the knowledge acquired must be documented in a
written report. Through the written report and the
presentation, key skills in written and oral communication are
practiced and developed.
Teaching methods
Seminar-style introduction to the subject areas, guidance, and support during the
writing phase.
writing phase.
Participation requirements
Formal: At least 45 ECTS credits must be earned. These must include the
full 30 ECTS credits from the first semester.
Content-related: none
full 30 ECTS credits from the first semester.
Content-related: none
Forms of examination
Module Exam for the Information Technology Seminar:
Term Paper and Presentation (45 min.)
Term Paper and Presentation (45 min.)
Requirements for the awarding of credit points
The module exam must be passed.
Importance of the grade for the final grade
5/136 x 80% (in accordance with Subsection 36 of the Degree Program Examination Regulations (StgPO) for the bachelor’s degree programs in Information Technology and Information Technology with a practical or study abroad semester)
Web Protokolle und Services- PF
- 4 SWS
- 10 ECTS
- PF
- 4 SWS
- 10 ECTS
Number
10321
Duration (semester)
1
6. Semester of study
Bachelor Arbeit und Abschluss-Kolloquium- PF
- 4 SWS
- 15 ECTS
- PF
- 4 SWS
- 15 ECTS
Number
101
Duration (semester)
1
Contact time
60 h
Self-study
90 h
Learning outcomes/competences
After successfully completing the module, students will be able to:
Knowledge and understanding:
Knowledge and understanding:
- Name and understand elementary mathematical principles, in particular with regard to the calculation of limits and the derivation and integration of functions.
- Know the properties of important, elementary functions (exponential, logarithmic and trigonometric functions).
- Know how to solve mathematically indeterminate expressions.
- Understand the problems involved in differentiating and integrating products, quotients and compositions and know appropriate derivation rules and integration methods.
- Be able to approximate boundary values for mathematically indeterminate expressions.
- To apply the derivative and integration methods practically and confidently.
- Solve business management problems (e.g. extreme points of cost functions) by calculating the corresponding mathematical models (e.g. differentiating functions).
- To create Taylor polynomials as approximate solutions for functions that are difficult to calculate and to determine their error and convergence interval.
- Graphically model payment series of elementary financial mathematical problems and apply their underlying formulas for calculation.
- Use mathematical terminology correctly in a problem-solving context.
- Analyze business problems in a team, discuss their mathematical modeling and jointly determine a solution.
- Understanding the importance of mathematics for solving business problems and being able to apply it confidently.
Contents
- General basics (sets, operations, complete induction)
- Consequences and series (definition, calculation rules, limits, convergence)
- Functions (definition, composition, calculation rules, continuity, limits)
- Differential calculus (differential quotient, calculation rules, derivatives of special functions, determining local extrema, de l'Hospital's rules)
- Integral calculus (partial integration, partial fraction decomposition, substitution)
- Taylor and power series (Taylor polynomials, residual element estimation, radius of convergence)
- Elementary basics of financial mathematics (compounding and discounting, discounting sum and capital recovery factor, terminal value and residual value distribution factor)
Teaching methods
- Lecture in interaction with the students, with blackboard writing and projection
- exercise accompanying the lecture
- active and self-directed learning through exercises, sample solutions and internet-supported accompanying materials
- immediate feedback and success monitoring
Participation requirements
See the respective valid examination regulations (BPO/MPO) of the study program.
Forms of examination
The module examination consists of a written exam in which students are required to recall the content taught in the lecture and its practical application in the exercises and demonstrate this by solving analogous tasks. In addition to the exercise sheets, a comprehensive collection of older exams and sample solutions as well as (if time permits) the discussion of a mock exam serve as preparation.
Duration: 120 minutes
Requirements for the awarding of credit points
passed written exam
Applicability of the module (in other degree programs)
Bachelor's degree in Business Informatics (both 6 and 7 semesters with practical semester)
Literature
- Vorlesungsskript "Mathematik für Wirtschaftinformatik 1" (Hesseler, M.)
Ergänzende Literatur (optional, nicht zwingend erforderlich):
- Schwarze, J.; Mathematik für Wirtschaftswissenschaftler , Band 0, 1 + 2, 11. Auflage, Verlag Neue Wirtschafts-Briefe GmbH, Herne/Berlin, 2000
- Neunzert, H, u.a..; Analysis 1, Ein Lehr- und Arbeitsbuch für Studienanfänger , 3. Auflage, Springer-Verlag, Berlin u.a. 1996
- Hoffmann, S.; Mathematische Grundlagen für Betriebswirte, mit Fragen und Antworten, Aufgaben und Lösungen , 6. überarbeitete Auflage, Verlag Neue Wirtschafts-Briefe GmbH, Herne/Berlin, 2002
- Thomas, G. B., Weir, M. D., Hass, J.; "Basisbuch Analysis", 12., aktualisierte Auflage, Pearson Deutschland GmbH, München, 2013
Projektorientiertes Arbeiten 2- PF
- 4 SWS
- 15 ECTS
- PF
- 4 SWS
- 15 ECTS
Number
10380
Duration (semester)
1