Category Archives: 3.3.2 AMOS

The 2017 AMOS Projects Line-up

We proudly present the initial set of confirmed AMOS projects for the upcoming summer semester. All projects will be developed as open source software on Github. Please register on StudOn, if you haven’t done so already, to learn more about the projects and make sure get you a seat in the class.

Table of contents

  1. Augmented reality robot
  2. Raspberry Pi as user agent
  3. Alexa, your personal financial assistant
  4. Raspberry Pi as a make-believe car
  5. Factory simulation
  6. Gradle cloud deployer
  7. Virtual account ledger
  8. Icinga2 app

Continue reading The 2017 AMOS Projects Line-up

Raspberry Pis for the 2017 AMOS projects have landed!

You prefer low-level over high-tech toys, you love the smell of soldering in the morning, and see the beauty in bare integrated circuits? Here are our new Raspberry Pis for two AMOS projects in 2017.

Amazon Echo and Echo Dot Have Landed

Below, please get a first glimpse of some of the tech we will be using in the upcoming summer 2017 AMOS projects.

Alexa, beam me up!

FAU’s Alexander reports about the 2016 AMOS projects

FAU’s Alexander, our news publication, reports about the 2016 AMOS projects and their demo-day (in German). We would like to add the AMOS testimonials ;-). Thanks to team 2 which served as the example. Please see the PDF or the screenshots below.

2016 AMOS Project Testimonial by AVL DiTest

Tobias Jähnel of AVL DiTEST wrote to us about their experiences as a project sponsor in the 2016 AMOS Project:

AVL DiTEST sponsored an AMOS project in 2016. The content of this project was the development of a Wireshark Plug-In for the analysis of Vehicle Diagnostic communication on Ethernet. This software is now an extremely helpful tool for our work. Our developers and vehicle specialists use it on an almost daily basis and meanwhile it is also in use by our customers. The students implemented the content of the whole specification ISO 13400-2, which is far more than we expected. We are actively improving the tool, which is easy because of the good project structure and documentation we received.

It was a pleasure working with a team of motivated and skillful students. They worked self-organised and reacted quickly on feedback. Through the lectures and coaching by the university the students were very well equipped.

We will definitely target another AMOS project for next year.

Thank you, Tobias and AVL DiTest for your sponsorship and engagement in the 2016 AMOS projects!

An Example AMOS Sprint Meeting (in German)

This (summer) semester 2016 we started recording AMOS guest speakers and also one AMOS team meeting to illustrate student teams go about their work. Thank you to team 2, mobile robot, in collaboration with Develop Group, for letting us film them! Below, please find the video of the session.

Link to video portal.

2016 AMOS Project Testimonial by Senacor AG

Andreas Gärtner of Senacor, the sponsor of the 2016 AMOS Project Conference App, writes to us:

[…] zunächst nochmal auf diesem Weg mein/unser Dank für die Möglichkeit an AMOS teilzunehmen. Wir haben sehr positive Erfahrungen gemacht und waren sehr erfreut über Qualität der Arbeit, der Zusammenarbeit und des Ergebnisses. Auch, wenn wir die entstandene App noch nicht unmittelbar einsetzen können, überlegen wir, wie wir den letzten Feinschliff bis zur “Produktreife“ noch hinkriegen (z.B. im Rahmen eines Praktikums oder einer Werkstudententätigkeit). Insofern sind wir sehr daran interessiert, auch nächstes Jahr wieder an AMOS teilzunehmen. […]

Thank you, Andreas and Senacor, for your guidance and sponsorship!

Students who are interested in continuing the work with Senacor should contact them directly; alternatively you can go through us for this and other opportunities.

The AMOS 2016 Project Show Case: Cognimaster

Team / Project Cognimaster reports:


In cooperation with the industry partner, Knowis AG, the team 9 of the AMOS project developed a product called “Cognimaster”. It is a cognitive service based web application, providing insights on unstructured (big) data from social media and news in order to obtain the Credit profile of a company.

Tapping into the newest technology of cognitive computing, the team used the Artificial intelligence technology from IBM (a.k.a. “Watson”) to explore the possibilities to aid decision-making in the financial sector. The application can be used to research any middle to large companies, taking into account the customers’ feedback on the companies and / or their products both directly from the customers, using twitter social network, and indirectly, using news articles available on the web. The cognitive services perform natural language analysis to define “sentiment” (positive or negative “mood”) of the text.

The main value of the product is that the customer feedback loop is shortened dramatically in comparison with the time, when the structured data starts “feeling” the impact of the customer feedback on the recent product launch or company – related news.

As the technology is still young, there is room for improvement of the unstructured data analysis results. With further development of this technology in future, highly precise big data analysis results will be available at any moment of time, revolutionizing managerial decision-making in not only financial industry, but many others as well.
Key words: cognitive computing, Watson, IBM cognitive services, artificial intelligence, credit profile, big data.

The AMOS 2016 Project Show Case: Conference App

Team / Project Conference App reports:


Our Vision As part of the lecture AMOS we developed an App to organize conferences.

The App allows the organizer to create and update events and track the number of participants.

The participants are able to use the App to register for events, receive the agenda and additional information, participate in Live Voting or give feedback for an event.

Our Industry Partner As leading service provider for IT Transformations in the German market Senacor accompanies enterprises from planning till realization.
Our Team Our team consisted of two Product Owner: Marina Kurbanova and Katharina Grasser and five Software Developer: Clemens Hübner, Murad Isayev, Luong Trung, Najm Askri and Sonia Hidri.

In summary our team consists of students from 5 different countries which made team work very interesting and instructive – a very good experience.

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The 2016 AMOS Project Show Case: Rogue Vision

Team / Project Rogue Vision reports:


Students of the Agile Methods Open Source Project teamed up with Siemens Corporate Technology to develop Rogue Vision, an Open Source Industry 4.0 Data Analytics Application. The App enables remote monitoring of the Siemens flexible transportation line Demonstrator.

The Demonstrator was developed by Siemens AG together with Festo, SAP and Deutsche Telekom as an Industry 4.0 research project for the IT-Gipfel 2015 event in Berlin. Core of this Demonstrator is a flexible transportation system with so called Carriers as production containers that can be tracked and controlled individually on the production line.

The software system that was developed by the FAU Students is able to identify and visualize the energy consumption and the position of the Carriers on their way through the production line. As a result, it is possible to see different types of Carrier contamination types that are based on increased energy consumption of the Carriers. Additionally, Rogue Vision has possibilities to display the flexibility of the Demonstrator line by visualizing the Carrier speeds of the individual Carriers. The goal is to possibly integrate these functionalities into the production environment to detect Carrier Contamination or issues on the Demonstrator in real time.

For further information and technological details please check out the project wiki.

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