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
- Augmented reality robot
- Raspberry Pi as user agent
- Alexa, your personal financial assistant
- Raspberry Pi as a simulated car
- Factory simulation
- Gradle cloud deployer
- Virtual account ledger
- Icinga mobile app
Continue reading The 2017 AMOS Projects Line-up
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.
Below, please find some photo impressions from the project presentations in PROD, our software product management course. Students were given key use-cases from FAU startups and presented their findings in the form of an investor pitch. Thanks, teams, for all your hard work!
Today, Nikolay Harutyunyan taught his first teaching case in PROD, our software product management course. The case was on pricing enterprise software products. Also present was Ernst Haagsman of Jetbrains, the original case author. Both Nick and Ernst are graduates of FAU’s International Information Systems program. Congratulations, Nick, for a job well done!
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, 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.
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!
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.
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.
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.