The Internet Praktikum Telekooperation (IPTK) introduces students to new and emerging technologies for Internet applications, such as P2P, Semantic Web, Web 2.0, or mobile technologies, which are becoming the basic building blocks of the next generation of Internet services. Through practical exercises, students learn how protocols and technologies of the Internet and the WWW work and implement them in practice.

The focus and background of this semester's projects is "Remote Collaboration", where multiple users can access and modify the same content simultaneously in an interactive application running on their smartphones. The project will encompass a mix of Android and Backend development to ensure synchronized simultaneous access to the same content across different devices. The development process will follow a scrum-process up until the finished product. This should be fun!

Among others, some projects of previous lab courses were: 

• A Corona app with an integrated platform for trading essential goods
• A Social Network that allows to share pictures and recommends you others to befriend, based on common interests 
• A Game that utilizes a device's location. Treasure hunts, running apps, Among Us in the real world were just some of the ideas students came up with 

At the kick-off meeting of the lab course, details about each project and grading procedure will be presented.

Database management systems (DBMS) in the cloud are the backbone for managing large volumes of data efficiently and thus play a central role in business and science today. For providing high performance, many of the most complex DBMS components such as query optimizers or schedulers involve solving non-trivial problems.

To tackle such problems, very recent work has outlined a new direction of so-called learned DBMS components where AI-based methods are used to replace and enhance core DBMS components which has shown to provide significant performance benefits. This route is in particular interesting since Cloud vendors such as Google, Amazon, and Microsoft are already applying these techniques to optimize the performance their cloud data systems.

Furthermore, AI has also been used for improving many other data management related tasks such as data engineering tasks (e.g., error detection and correction in databases or data transformation and data augmentation) which typically cause high manual overhead and can be automated by the use of AI. Finally, AI has also been used for extending databases by better data access interfaces (e.g., natural languague querying and chatbots for data) or by supporting data beyond structured tabular data (i.e., text and images).

This seminar serves the purpose to understand the basic concepts of how AI can be used for data management. In the first part of the seminar, participants will learn the basics of AI for data management along with implementing a case study themselves. In the second part, every participant will select and present a recent research paper. The papers will typically be recent publications in relevant research venues and journals such as SIGMOD, VLDB or ICML, NeurIPS.

The seminar kick-off will typically be in the first two weeks of the semester where we discuss the organization of the seminar. Further information can be found at: http://tuda.systems

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Dieser Moodle-Kurs dient dem Austausch von Materialien, Folien, Aufzeichnungen, Übungen, Quizzen etc. 

Kurs: Informationssicherheitsmanagement
Kürzel: ISM
Inhalte: Darstellung des Managements der organisatorischen und prozessualen Informationssicherheit in Unternehmen
Wann: Montags, 10:45 - 12:15 Uhr
Vor Ort: S1|01 A4
Remote: Livestream mit Aufzeichnung auf Panopto
Klausur: Dienstag, 20. Februar 2024, 12:00 (S2|02 C205, S1|03 221, S1|03 226)

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Distributed computation has enabled great scalability in various application areas, e.g., Big Data, Machine Learning, etc., but the correct operation of a large number of compute nodes requires reliable coordination and (meta)data replication. In this seminar we take a deep dive in the underlying algorithms and protocols for coordination and replication, namely consensus algorithms.

The seminar is based on research paper reading at home and discussions/presentations in class. For the first part of the seminar, your instructor will present the seminal works and lead the discussion. In the second part of the seminar, you will take the lead and present the state-of-the-art protocols and discuss their benefits/drawbacks in practice.

This seminar will be useful for students aiming for an industry job or research career in the general area of distributed systems. Familiarity with consensus protocols and understanding of the underlying core concepts is fundamental for building safe, reliable and efficient distributed systems!

Das Serious Games Praktikum und Projektseminar sind praxisorientierte Veranstaltungen, in denen in Gruppen von 3-5 Studerende Projekte im Bereich Serious Games umgesetzt werden.

Viele Themen können entweder als Praktikum oder als Projektseminar belegt werden, wobei der jeweilige Fokust beachtet wird.