The winter term is just around the corner and RMS Block Week will be able to offer various elective modules in attendance again! Please just keep in mind that the offering universities might have individual COVID-19 precautions when it comes to accessing the campus or attending a seminar. Reach out to us in case you need any assistance:
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We are very pleased about the wide range of Block Week modules and would like to express our gratitude to all colleagues who actively participate!
When?
From 14. to 18. November 2022. Some modules already start with an e-leaning unit before that.
Where?
At the RMS locations Bochum (HS BO), Dortmund (FH DO) and Gelsenkirchen (WHS).
Why?
Because you can compactly and intensively engage in one topic for one week in an interdisciplinary way.
Because it is easier to attend a module from one of the partner universities.
Because you get to know other lecturers and fellow students.
Because you can broaden your horizon.
How?
Please sign up
here until 28. September 2022 .
Some modules have a restricted number of participants. The motto is "first come - first serve"!
In case your selected Block Week module takes place at one of the german partner universities, please complete the application form for
Registration as visiting student.
What?
The following modules are offered as a block week:
Contents
Digitalization in private and professional domains is influencing intensely and sometimes even revolutionizing people’s life, the way they interact with systems, the way they interact between each other, the way a society changes. Within this course those influences will be addressed from two different viewpoints. From an analytical perspective, former and current developments and their influences will be analyzed and then projected on future trends. From a constructive perspective, those potential influences of e.g. a product or service currently in development will be taken into account to shape the prospective solution.
• Basic Overview “Computer Science & Society”
• Ethics in computer science
• Digital media and art
• Surveillance and privacy
• Artificial Intelligence and responsibility
• Sustainability through Digital Transformation
• Case Studies “Disruptive Changes by Information Technology”
• Digitalization of work life & work environments, processes, products and services
Evaluation of impacts (personal, environment, society)
Module description picture_as_pdf
Module description picture_as_pdfContents
Robotic systems are usually very complex and utilize extensive functions as well as a high amount of actuators, sensors, and software-algorithms. The development and maintenance of software for such a robotic system is a challenge for developers and requires robotic specific domain knowledge. As the field of robotics ranges from enormous industry robots to small consumer robots, this course focuses on (small) low-cost mobile robots. Therefore, a demonstration platform, the S4R rover is used to introduce students to typical challenges and applications for mobile robots. The course gives an overview of current trends and research fields for mobile robots and will focus on hand-on sessions to develop their software solutions. The student will learn to develop, implement, and test the software for the S4R rover in small student groups within the lecture and practice sessions. Individual homework assignments give students a more in-depth knowledge of relevant research topics.
1. Introduction to mobile robotics
2. Introduction to the App4MC/ S4R rover
* Hardware
* Rover API
* ROS (Robot Operating System) integration
3. Implementation of Navigation and Mappings tools/ methods/ algorithms
4. Application/ Use-Case definition and Implementation in small groups
5. Test and Verification
6. Presentation of Applications/ Use-Cases
7. Homework definition
8. Homework presentation
Module description picture_as_pdf Contents:
In conjunction with LiDAR and cameras, radars sensors are a key technology for automated driving. This module introduces students into radars sensors with an emphasis on signal processing. Several case studies are discussed based on Matlab-Code and usage of demonstration boards of vendors like Texas Instruments.
• Wave propagation and antennas
• Block diagram
• Modulation
• Spectral analysis
• State Estimation and Tracking
• Current trends in radar signal processing
• Applications
Module description picture_as_pdf
Recommended for German speaking students of the RMS.
Inhalte:
Der Workshop soll mehrere Aspekte moderner SmartHome-Systeme beleuchten. Hierzu gehören:
• Sicherheit
• Möglichkeiten (Heizung, Multimedia, Licht, Life-Assistence, Überwachung etc.)
• Vergleich verschiedener Systeme (offen bzw. Bindung an Markenprodukte)
• Wirtschaftliche Bewertung eines SmartHomes
Als Grundlage für einen SmartHome-Hub wird ein Raspberry auf OpenHAB-Basis dienen. Die Einrichtung des Rapsberry sowie der Software gehört u. a. zur Vorbereitungsphase. Ein gewisses Grundverständnis für Computer bzw. Programmierung wird vorausgesetzt.
Hinweis: Das Modul findet nur statt, wenn eine Durchführung in Präsenz möglich ist.
Modulbeschreibung 6 ECTS picture_as_pdf
Modulbeschreibung 8 ECTSpicture_as_pdf Inhalte:
• Was ist Nachhaltigkeit und wie kann sie gemessen werden?
• computergestützte Stoffstrom- und Nachhaltigkeitsanalyse (LCA) für ausgewählte, technische Systeme und Prozesse
• verschiedene Prinzipien der nachhaltigen Nutzung von Ressourcen
• Modellierung von technischen Prozessen entlang der gesamten Wertschöpfungskette der betreffenden Industrieprodukte unter Verwendung der recherchierten Informationen und mithilfe von Software
• Überführung dieser Ergebnisse in eine Ökobilanzierung und Szenarioanalyse unter Berücksichtigung verschiedener limitierender Faktoren im Rahmen eines Life Cycle Impact Assessment (LCIA)
Modulbeschreibung picture_as_pdf Inhalte:
• Learn procedures to implement data confidentiality, integrity, availability and security controls on networks, servers and applications.
• Understand security principles and how to develop security policies that comply with cybersecurity laws.
• Apply skills through practice, using labs and Cisco Packet Tracer (https://www.netacad.com/about-networking-academy/packet-tracer/) activities.
• Get immediate feedback on your work through built-in quizzes and tests.
• Connect with the global Cisco Networking Academy community.
Modulbeschreibung picture_as_pdf Inhalte:
• Elementares Datenmanagement mit R
• Univariate Deskription
• Bivariate Deskription und Exploration
• Parametrische Verteilungsmodelle
• Gängige parametrische Hypothesentests
• Grundlagen von R Markdown
Modulbeschreibung picture_as_pdf
Any questions?
If you have any questions or suggestions, please do not hesitate to contact the RMS-coordinators or send an email to:
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