Informatics Munich Near Me

4worldlovers: In research and teaching we focus on components, methods and systems of digital telecommunication and networking. The general term for all these fields is telematics (the combination of telecommunication and informatics).

Today modern digital telecommunication systems offer a wide spectrum of services ranging from "local" networks within buildings (Local Area Networks, LANs) to the worldwide infrastructure of telecommunication networks (Wide Area Networks, WANs) like the Internet. Topics of research and teaching are the basics of digital transmission systems and switching technology as well as Internet-based applications. Running within a computer network, these programs integrate the functions of individual computers, making them accessible to the rest of the network. This includes communication mechanisms for multimedia information such as language, technical data, text, graphics, photographs and film. Telematics opens up an extensive spectrum of new functions and services which has an immense practical importance for a wide range of applications.

4worldlovers:
Jan Philip Bernius, Stephan Krusche, and Bernd Brügge received the Ernst Otto Fischer Teaching Award. The award honors the innovative and successful teaching project Automatic Correction of Free-Text Assignments.

The Ernst Otto Fischer Teaching Award is presented to instructors for innovative projects that improving teaching at TUM. The project Automatic Correction of Free-Text Assignments was funded by the TUM Teaching Fund. As part of the project, we implemented the Athena system for automated assessment of textual exercises. We used Athena as part of Artemis in the "Introduction to Software Engineering" lecture with > 2.000 participating students. In addition, we published the project results in the paper "A Machine Learning Approach for Suggesting Feedback in Textual Exercises in Large Courses" at the ACM Conference on Learning @ Scale 2021.

For the third time in a row, an iPraktikum team got first place in the category "best student achievement" ("Beste studentische Leistung") at the SmartHome Deutschland Award 2019: with the industry partner iHaus, they developed the CityJuice system during the winter term 2018/19.

A common problem in neighborhoods with an increasing number of electric cars is the price for a charging station and a lack of possibilities to charge. Additionally, the distribution of energy may become a problem when every car owner operates a charging station. The team of ten students developed the iHaus CityJuice system that aims to solve these problems by providing charging station owners with a simple and intuitive way to share free capacities and car owners with a way to find available charging slots. An intelligent component decides, when and for how long a car can be loaded to guarantee a hassle-free transition to the next loading process. In the future, the system may automatically instruct the electric cars to drive to the next available charger and control the charger. CityJuice promotes this vision by providing an autonomous component that can communicate with cars and send instructions for the charging process.

As part of an event in the Rotes Rathaus in Berlin on May 29, 2019, the students presented the project and received the award for the first place. The SmartHome Deutschland initiative represents a trade-spanning, interdisciplinary communication platform to enable information exchange between regional smart home organizations and representatives of research, development, industry, commerce, and craft.

Following the outcome of 2017, the iHaus iPraktikum team of the winter term 2017/18 again received the first place in the category “best student achievement” (“Beste studentische Leistung”) at the SmartHome Deutschland Award 2018. Over the course of one semester, the eight students have developed the iHaus DNA system.


The current generation of smart homes comes with a great variety of sensors and actuators. Many of these devices interact with each other, creating a unique footprint of the occupants' routines and behavioral patterns. At the same time, there is a high effort for occupants in setting up rules for the automation of their regular activities. The iHaus DNA system tackles this problem by smartly detecting daily habits and suggesting their automatic execution to the occupants. Furthermore, the iHaus DNA system is able to identify anomalies and thereby contributes to its user's comfort, security, safety, and health.

As part of an all-day event in the Rotes Rathaus in Berlin on May 14, 2018, the students presented the project and thereafter received the award for the first place. The SmartHome Deutschland initiative represents a trade-spanning, interdisciplinary communication platform to enable information exchange between regional smart home organizations and representatives of research, development, industry, commerce, and craft.


An iPraktikum team of the winter term 2016/17 got first place in the category “best student achievement” (“Beste studentische Leistung”) at the SmartHome Deutschland Award 2017. The nine students worked together with iHaus AG on the topic “Efficient Energy Management in Private Households”.


Within one semester, the students developed an intelligent system that automates the management of energy—an increasingly complex process. The occupants of a smart home can use an intuitively designed app to choose between four different modes. For instance, the Eco Mode ensures the environmental-friendly usage of energy by preferring solar energy and reducing non-required energy consumption to a minimum. Moreover, the occupants can apply a Vacation Mode, a High Availability Mode, and a Money Saving Mode. In addition, the system keeps on informing the occupants about the house status and provides possibilities to make manual adjustments.

4worldlovers: Our physics-based computational platform leverages a deep understanding of physics, chemistry, and predictive modeling to accelerate innovation.

Our platform enables our collaborators to discover high-quality, novel molecules more rapidly, at lower cost, and we believe with a higher likelihood of success compared to traditional methods. We’re also harnessing this platform for our internal drug discovery programs.