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Algorithm Engineering Moodle Description What is this course? In this course, you will get the opportunity to get to know a few Gems from the world of theoretical Computer Science and more precisely about [...] Phone: +49 331 5509-418 Mail: Timo.Koetzing@hpi.de More Dr. George Skretas Friedrich 2526 Algorithmic Gems for AI, Randomness and Graphs Mail: Georgios.Skretas@hpi.de More [...] Algorithmic Gems for AI, Randomness and Graphs HPI Algorithm Engineering Teaching Winter Term 2025 Algorithmic Gems for AI, Randomness and Graphs Algorithmic Gems for AI, Randomness and Graphs BSc Lecture

Algorithm Engineering Moodle Description What is this course? In this course, you will get the opportunity to get to know a few Gems from the world of theoretical Computer Science and more precisely about [...] Algorithmic Gems Mail: Georgios.Skretas@hpi.de More Paraskevi (Voula) Machaira Friedrich 2024 Algorithmic Gems Phone: +49 331 5509-1350 Mail: Paraskevi.Machaira@hpi.de More Marcus Pappik Friedrich 2024 [...] Algorithmic Gems Mail: Marcus.Pappik@hpi.de More Aishwarya Radhakrishnan Friedrich 2024 Algorithmic Gems Phone: +49 331 5509-1350 Mail: Aishwarya.Radhakrishnan@hpi.de More

Slides 08.08.2025 13:30 - 15:00 TBD Final submission Literature To get introduced about data errors and its various types, you can start with reading the following literature that you can find on dblp or [...] The Error Games: A Data Quality Challenge HPI Database Group Teaching Course Archive The Error Games: A Data Quality Challenge Prof. Dr. Felix Naumann , Dr. Lisa Ehrlinger and Divya Bhadauria Description [...] data sets from the other teams. The goal is to detect as many data errors as possible. Deliverable : At the end of the seminar, each team will prepare a presentation about (1) their used data error generation

Registration is not required. Start: from Monday, September 16, 2024 at 9:15 a.m.; non-binding registration begins at 8:45 a.m. in front of the lecture hall Location: Lecture hall 1 at Campus I in Griebnitzsee [...] pre-course Target group: First semester Bachelor students Date: 16.09.2024 - 02.10.2024 in lecture hall 1, HPI Campus 1. The preliminary course for first-semester students of the Bachelor's program in IT Systems [...] Friday from 09:15-15:00 Format: Presence; those who cannot attend on site are invited to attend the openHPI math pre-course instead. Registration is not necessary.

a creative challenge, the focus at HPI this fall will be on Artificial Intelligence (AI) for two days. Besides gaining theoretical insights, participants will also get hands-on experience by exploring [...] AI. The HPI empowerHER initiative will accompany the program, offering exciting insights into computer science studies, student and staff experiences, and general information about studying at HPI. No prior [...] c girls from across Germany? Then the Young Women in AI Camp is perfect for you! The camp is aimed at schoolgirls from all over Germany and is a collaborative project of the Hasso Plattner Institute and

you want to write a master thesis at our group feel free to contact us for some topic ideas in the given areas. You can of course also come up with your own topic. To get an idea of previous topics, check [...] check out the completed theses at our group or the ongoing ones . Writing a thesis at our group Writing the thesis usually includes.. ...finding a topic together with an advisor (usually a PhD student or [...] General theses information HPI Rabl Teaching Master Theses General theses information Topic Areas We are continuously offering master thesis topics in the following areas: Stream Processing Windowing

nt.hpi.de More Konrad Letz Friedrich Competitive Programming 2025 Mail: Konrad.Letz@student.hpi.uni-potsdam.de More Tobias Röhr Friedrich Competitive Programming 2025 Mail: Tobias.Roehr@student.hpi.uni-potsdam [...] well-set to participate in German and European Competitive Programming competitions as part of HPI teams, and get even more problem solving experience. Our experienced coaches also provide support in preparation [...] Competitive Programming HPI Algorithm Engineering Teaching Summer Term 2025 Competitive Programming Competitive Programming BSc/MSc Lecture - Summer 2024 People: Dr. Christopher Weyand Description In

Freshly arrived in Germany, Julia Dennett is conducting research in the field of digital health at HPI. Her highlight: seeing the first results and experiencing the enthusiasm of her team. “I have seen [...] Julia Dennett, she asks: “Am I talking too fast? I always get so excited when I talk about my research.” Julia Dennett works as a scientist at the Hasso Plattner Institute, she is a postdoc in the field [...] What drives her? Getting to the bottom of health crises and understanding correlations so that policymakers can take better action in the future. The most rewarding part is when you start to see the results

Large-Scale Data Analysis in the Cloud HPI Database Group Teaching Course Archive Large-Scale Data Analysis in the Cloud At a Glance A very large RDF dataset multiple Data Analysis Tasks Map/Reduce and [...] lecture "Nephele/PACTs" by Stephan Ewen (TU Berlin) - start: 14:00 22.07. final presentation 2 (teams 3,4 Informationssysteme, team 2 Betriebssysteme) - start: 13:30 in room A-1.1 Karran/Metzler Linkhorst/Wehrmeyer [...] Richter/Thiele 23.07. final presentation 1 (teams 1,2 Informationssysteme, team 1 Betriebsysteme) - start: 09:15 in room A-1.2 Jacob/Kny Fenz/Pohl 31.08. submission of reports Hadoop Cluster Assignment Date

Contact Information Alejandro Sierra Múnera Alejandro.Sierra(at)hpi.de Hendrik Rätz Hendrik.raetz(at)hpi.de Jona Otholt Jona.Otholt(at)hpi.de Remote Access https://uni-potsdam.zoom.us/j/64412783761 Passcode: [...] Tagging and Captioning Art-Historical Photographs HPI Database Group Teaching Course Archive Tagging and Captioning Art-Historical Photographs Tagging and Captioning Art-Historical Photographs (Wintersemester [...] were made to digitize artworks in order to conserve them and make them available to a wider audience. At the same time, this also enables the application of machine learning techniques such as image capt