Matthias Bauer

Hasso-Plattner-Institut (HPI) für
Softwaresystemtechnik GmbH
Universität Potsdam
Prof.-Dr.-Helmert-Str. 2-3
D-14482 Potsdam
Germany 

office:

H-1.21

phone:

+49 (0)331-5509-385

fax:

+49 (0)331-5509-325

e-mail:

matthias.bauer(at)hpi.de

Find me on LinkedIn and on XING

Gremien/Councils

02-04/2017Erw. Mitglied im Gründungskommittee der Digital Engineering Fakultät
seit 04/2017Erw. Mitglied im Fakultätsrat Digital Engineering Fakultät
seit 06/2017Mitglied der Studienkommission Digital Engineering Fakultät

Teaching - openHPI

Teaching - IT Systems Engineering

Summer Semester 2017

Winter Semester 2016/2017

Summer Semester 2016

  • Lecture Assistant: Internet- und WWW-Technologien
  • Tutorial: Internet- und WWW-Technologien
  • Seminar: Weiterführende Themen zu Internet- und WWW-Technologien

Winter Semester 2015/2016

  • Seminar: Web-Programmierung und Web-Frameworks

Summer Semester 2015

  • Lecture Assistant: Internet- und WWW-Technologien
  • Tutorial: Internet- und WWW-Technologien
  • Seminar: Weiterführende Themen zu Internet- und WWW-Technologien
  • Schülerkolleg: Internetsuche und Google Page-Rank

Winter Semester 2014/2015

  • Seminar: Web-Programmierung und Web-Frameworks

Summer Semester 2014

  • Lecture Assistant: Internet- und WWW-Technologien
  • Tutorial: Internet- und WWW-Technologien
  • Seminar: Weiterführende Themen zu Internet- und WWW-Technologien

Winter Semester 2013/2014

Summer Semester 2013

  • Lecture Assistant: Internet- und WWW-Technologien
  • Tutorial: Internet- und WWW-Technologien
  • Seminar: Weiterführende Themen zu Internet- und WWW-Technologien

Winter Semester 2012/2013

  • Seminar: Web-Programmierung und Web-Frameworks

Summer Semester 2012

Winter Semester 2011/2012

Summer Semester 2011

  • Tutorial: Internet- und WWW-Technologien
  • Seminar: Weiterführende Themen zu Internet- und WWW-Technologien

Lectures (stand-in) IT Systems Engineering

Bachelor - Internet- und WWW-Technologien

  • 15.06.2017 HTTP
  • 15.06.2017 URIs
  • 01.06.2017 Internetanwendungen 1
  • 24.05.2017 Internetworking mit IPv6
  • 17.05.2017 WAN-Technologien
  • 06.05.2015 Videokodierung und -Kompression

Teaching - Kids

Summer Semester 2015

  • Schülerkolleg: Internetsuche und Google Page-Rank

Publications

Lecture Butler - Teaching Reasonable Lectures from a Lecture Video Archive

Martin Malchow, Matthias Bauer, Christoph Meinel
In Proceedings of the 2015 ACM Annual Conference on SIGUCCS, pages 3-9, 11 2015 ACM.

DOI: 10.1145/2815546.2815557

Abstract:

Lecture video archives offer a large variety of lecture recordings in different topics. Naturally, topics are described superficially, easily or detailed in different lectures. Users interested in certain topics have problems finding lectures describing a topic chronology from basic lectures to more detailed difficult lectures. The Lecture Butler is going to automatically offer e-learning students lectures for the topics of interest in chronological playlists. The approach is finding lecture information using title, description, OCR and ASR data. This data is indexed and searched by an in-memory database to fulfill the speed requirements for playlist creation. In the search results lectures are going to be ordered by lecture occurrence in the university semester time schedule or by given lecture level of difficulty. As a result students can automatically create playlists for their topic of interest in sequence of the lecture level. Hence, students are not overstrained by lectures when they start with basic lectures first. Basic lectures provide information to understand more complex lectures. The research shows that an automatic approach by adding the level of difficulty or university semester time table is going to show reasonable playlists to find topics of interest. This solves the main problem students encounter when they try to learn a topic step-by-step using recorded lectures. The approach will support and motivate students using e-learning opportunities.

Keywords:

Teleteaching; Tele-Lecturing; Distance Learning; E-Learning;OCR Search; Semantic Web; In-Memory Database; Lecture Video Archive

BibTeX file

@inproceedings{Martin2015a,
author = { Martin Malchow, Matthias Bauer, Christoph Meinel },
title = { Lecture Butler - Teaching Reasonable Lectures from a Lecture Video Archive },
year = { 2015 },
pages = { 3-9 },
month = { 11 },
abstract = { Lecture video archives offer a large variety of lecture recordings in different topics. Naturally, topics are described superficially, easily or detailed in different lectures. Users interested in certain topics have problems finding lectures describing a topic chronology from basic lectures to more detailed difficult lectures. The Lecture Butler is going to automatically offer e-learning students lectures for the topics of interest in chronological playlists. The approach is finding lecture information using title, description, OCR and ASR data. This data is indexed and searched by an in-memory database to fulfill the speed requirements for playlist creation. In the search results lectures are going to be ordered by lecture occurrence in the university semester time schedule or by given lecture level of difficulty. As a result students can automatically create playlists for their topic of interest in sequence of the lecture level. Hence, students are not overstrained by lectures when they start with basic lectures first. Basic lectures provide information to understand more complex lectures. The research shows that an automatic approach by adding the level of difficulty or university semester time table is going to show reasonable playlists to find topics of interest. This solves the main problem students encounter when they try to learn a topic step-by-step using recorded lectures. The approach will support and motivate students using e-learning opportunities. },
keywords = { Teleteaching; Tele-Lecturing; Distance Learning; E-Learning;OCR Search; Semantic Web; In-Memory Database; Lecture Video Archive },
publisher = { ACM },
booktitle = { Proceedings of the 2015 ACM Annual Conference on SIGUCCS },
isbn = { 978-1-4503-3610-9 },
priority = { 0 }
}

Copyright Notice

last change: Mon, 21 Dec 2015 09:49:03 +0100

Press

Wie digitale Weiterbildungsangebote kleinen und mittleren Unternehmen bei der Digitalisierung helfen können, Tatiana Gayvoronskaya, Matthias Bauer, Martin Talmeier, Christoph Meinel, in Wissenschaft trifft Praxis, Ausgabe 5, ISSN (Print) 2198-8544, November 2016

So wird das Haus schlauSaarbrücker Zeitung 03.06.2016

Events and Activities