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FAQ Master's Degree Programs
(M.Sc.) Digital Health (M.Sc.) Are there tuition fees at HPI? There are no tuition fees at HPI. However, if you study with us, you are enrolled at the University of Potsdam and are required to pay the [...] questions about your Master's application. Quick access Studying at HPI Application Requirements Further Topics International applicants Studying at HPI How is the degree program structured? The Master's degree [...] 5509-167 Mail: master-info@hpi.de More Alexandra Hemmert Manager Advisory Services and Admissions Phone: +49 331 5509-118 Mail: master-info@hpi.de More Related links Your studies at HPI Professional Skills
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How to actually come up with mathematical results
problems, don't get stuck on a single big problem; something will work. You pluck the low-hanging fruits, gain a basic understanding and confidence for harder problems. 2. Morphing Maybe you start out with one [...] How to actually come up with mathematical results HPI Algorithm Engineering Science How to actually come up with mathematical results How to actually come up with mathematical results Autor: Timo Kötzing [...] cases. Maybe irrelevant cases, maybe unimportant cases. Maybe the cases blocked out are important, but at least you have a theorem for some important cases. 4. Monster adjustment Also this technique was described
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Map/Reduce Algorithms on Hadoop
Map/Reduce Algorithms on Hadoop HPI Database Group Teaching Course Archive Teaching Map/Reduce Algorithms on Hadoop Description In this seminar we will start a distributed computation project from scratch [...] ongoing research Fabian Hueske, Stephan Ewen (TU Berlin) 22.06.2009 25.06.2009 17:00: 5th Apache Hadoop Get Together @ Berlin 29.06.2009 06.07.2009 Final Demos & Presentations I Similarity Join (Andrina Mascher
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Distributed Data Management (VL, Master)
NOTE 1: This lecture is a catch-up course for HPI students in the "Data Engineering" track that start their studies in SS2020. The lecture is given annually, but because we switched from winter- to summe [...] Distributed Data Management (VL, Master) HPI Database Group Teaching Course Archive Distributed Data Management (VL, Master) Distributed Data Management Lecturer: Dr. Thorsten Papenbrock IMPORTANT NOTE [...] extra iteration this semester. IMPORTANT NOTE 2: Due to the current COVID-19 situation, we need to start this lecture in online-mode. This means that we use teleTask recordings for the teaching sessions
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Computer Science (M.Sc.)
Computer Science (M.Sc.) HPI Studies Computer Science (M.Sc.) Computer Science at HPI In the Master's program in Computer Science at the joint Digital Engineering Faculty of HPI and the University of Potsdam [...] know HPI alumnus Dustin Five reasons for your master's degree in Computer Science at HPI Valuable practical contacts at the start of your career Working in small groups and intensive supervision by professors [...] career thanks to our career program HPI Connect with its career fair: HPI Connect Fair find out more Admission Requirements For the Master's program in Computer Science at HPI, the following admission requirements
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Data Quality for AI
11.03.2022 Final submission Literature To get introduced to data quality and to get a better feeling to which extent data quality affects AI, you can start with reading the following literature that you [...] changes. Registration After the introduction to the seminar on 26.10.2021 at 13:30 in HS3, please send an e-mail to hazar.harmouch@hpi.de with the subject: "Registration to Data Quality for AI" by Friday 29 [...] Data Quality for AI HPI Database Group Teaching Course Archive Data Quality for AI Advisors Prof. Dr. Felix Naumann and Dr. Hazar Harmouch Description Many AI methods are dependent on large quantities
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Distributed Data Management
of processing elements. In this lecture, we take a look at various technologies involved in building distributed, data-intensive systems. We start by discussing fundamental concepts in distributed computing [...] Distributed Data Management HPI Database Group Teaching Course Archive Distributed Data Management Lecturer: Dr. Thorsten Papenbrock Description The free lunch is over! Computer systems up until the turn [...] on increased its clock speed with every new release. This trend has changed and today's CPUs stall at around 3 GHz. The size of modern computer systems in terms of contained transistors (cores in CPUs/GPUs
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Sustainable Machine Learning on Edge Device Clusters
course (e.g. HPI courses in the data engineering or machine learning area). We will let you know if you can officially register for the course as soon as possible (on Tuesday 21.04.2020 at latest). Note [...] semester starts very quickly and without proper introductory week, we might need to choose the up to eight participants first-come-first-serve if we receive more than eight applications. To start the project [...] Sustainable Machine Learning on Edge Device Clusters HPI Database Group Teaching Course Archive Sustainable Machine Learning on Edge Device Clusters Description In this project seminar, we develop a prototype
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Secure Distributed Computing
growing culture of talks and events organised at HPI. Practically, this involves aligning our colloquium schedule to encourage members to participate in these events at sister research schools and cluster meetings [...] In those interactions they present their work, explore directions, and get advice. Each funded student is expected to present at least once a year in the research school, with the SeDiC PIs providing [...] 5509-4951 Mail: christian.doerr@hpi.de More Co-Speaker Prof. Dr. Vaibhav Bajpai Head of Data-Intensive Internet Computing Phone: +49 331 5509-3435 Mail: office-bajpai@hpi.de More Prof. Dr. Holger Karl Head
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Conversations with the future self
students Jan Enkmann (HPI), Vincent Beerman (HPI), Theresa Weinstein (HPI) and Cathy Mengying Fang (MIT) under the supervision of Prof. Falk Uebernickel (HPI) and Prof. Pattie Maes (MIT). At this stage, it is [...] also learn from each other's domain expertise and perspectives. HPI: Do you also get to know each other personally? Jan: Absolutely, we get to know each other personally during and outside of our research [...] together. Cathy: I visited Jan and Vincent at Potsdam last winter to get to know them better, and I looked forward to visiting them again this fall :) I also started learning German (100+ days on Duolingo)
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