Past Terms

WS 12/13

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Lecture: Web Science

Lecturers: PD Dr. Ralf Klamma, AOR

Twenty years after the birth of the World Wide Web, Web Science has been becoming a new study field in Computer Science. This course introduces fundamental concepts (web centralities & algorithms, network models and web engineering principles) of Web Science. We then give an overview on regular and random network models, influence, economic, and biological networks. In the following we study dynamic processes on complex networks (emergence, percolation, epidemics, synchrony, walking and searching, net gain and repeated games). In the engineering part we dig into emerging cloud & grid computing approaches like GoogleApp, Google Wave (XMPP) and Bittorrent. With the knowledge gained in the preceding chapter we can analyse and engineer advanced web applications like the Wikipedia, personal learning environments and massive 3D multimedia environments.

Lecture: Implementation of Databases

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

The lecture introduces basic technologies of the realization of database systems. Beside the coarse architecture (e.g. layered architecture) detailed procedures for the solution of special database tasks (especially query analysis and transaction management) will be discussed. The concepts of implementation will be applied to classical (relational model) as well as to more recent data models (distributed, XML). In addition to necessary theoretical fundamentals, practical concepts will be introduced that allow database administrators the efficient tuning of databases.

Seminar: Intelligent Distributed Systems

Lecturers: Prof. Dr. Matthias Jarke Dr. Karl-Heinz Krempels

Seminar: Information Management in the Web

Lecturers: PD Dr. Christoph Quix Prof. Dr. Matthias Jarke

Today, users can use a large number of tools and interfaces to find and manage information on the Web. However, many tasks require still a significant human effort, such as the integration of data across different, heterogeneous web sources.

Practical course (basic level): Unternehmensgründung und neue Medien (Serious Games)

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

Unternehmensgründung und neue Medien ist ein Praktikum für Bachelor-Studenten, in dem die Erstellung eines komplexen Informationsprodukts erlernt wird. In diesem Semester stehen "Serious Games" im Mittelpunkt. Voraussetzungen sind dabei Kenntnisse aus den Vorlesungen Programmierung sowie Datenstrukturen und Algorithmen.

Practical course (advanced level): Campus Connect SOAp(raktikum)

Lecturers: Dr. Karl-Heinz Krempels Prof. Dr. Matthias Jarke

Practical course (advanced level): Hightech Entrepreneurship and new Media (Serious Games)

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

The course combines tutorials and lectures on the development of complex information products with practical experience in start-ups on specific and typical IT-related problems of the companies taking part in the lab. Integrated into the concept of this course is the development of presentation and other soft skills.

SS 12

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Lecture: Datenbanken und Informationssysteme

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

Die Vorlesung gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen.Wesentliche Ziele der Veranstaltung sind das Kennenlernen verschiedener bekannter Datenmodelle, wobei der Schwerpunkt auf dem relationalen Modell liegt. Es werden theoretische sowie praktische Grundlagen der Datenmodelle und zugehöriger Anfragesprachen vermittelt. Außerdem werden Modellierungs- und Entwurfstechniken für das relationale Modell vorgestellt und Einblicke in grundlegende Datenbanksystemtechniken, z.B. die Transaktionsverwaltung, gegeben.

Lecture: Advanced Data Models

Lecturers: PD Dr. Christoph Quix Prof. Dr. Matthias Jarke

This lecture presents advanced concepts in data modeling. In particular, we will discuss formal methods for the representation and management of data models. In addition, methods for data integration, which are based on these formalizations, will be discussed. The tutorials will present practical examples for the presented concepts.

Seminar: Web Science Seminar

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

Twenty years after the birth of the World Wide Web, Web Science has been becoming a new study field in Computer Science. This seminar researches advanced theoretical and practical topics in Web Science probably leading to master thesis topics. Topics include but are not limited to: Linked Data, Trend Analysis, Open Data Initiatives, Media Classification and Analysis, Web Metadata, Folksonomies, Tagging Networks, Web User Modelling and Analysis (User Behavior, Social Interaction), Communities and Web Lifestyles, Web Analysis, Web Search, Collaborative Information Management (Collaborative Production, collective Intelligence), Adaptive Web Hypermedia, Cloud Computing, Advanced Web Protocols (XMPP), Web Services and Web Application Engineering.

Practical course (basic level): Geschäftsmodelle und IT-Anwendungen in der Elektromobilität

Lecturers: Prof. Dr. Matthias Jarke

Practical course (advanced level): CSCW Experience Lab

Lecturers: Prof. Dr. Wolfgang Prinz Dipl.-Inform. Nils Jeners

The goal of this lab is to gain practical experience in collaboration by working on a project called Lightweight Collaboration Suite. Each student team consisting of three students will work on one subproject under different collaborative settings (synchronously, asynchronously, face-to-face, remote).

Practical course (advanced level): Accenture Campus Challenge 2012: Enterprise 2.0 - Plattformen

Lecturers: PD Dr. Christoph Quix

Die Campus Challenge ist ein von Accenture initiierter Wettbewerb für Studenten technischer und wirtschaftswissenschaftlicher Studiengänge. Die Studenten erhalten die Möglichkeit, sich mit modernen Technologien auseinander zu setzen und von der intensiven Zusammenarbeit mit unseren IT-Beratern sowie unseren Technologie-Partnern zu profitieren. Eine große Chance, aktuelles Wissen in Projektmethodik und der Lösung praxisrelevanter Anwendungsprobleme zu erwerben.

WS 11/12

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Lecture: Implementation of Databases

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

The lecture introduces basic technologies of the realization of database systems. Beside the coarse architecture (e.g. layered architecture) detailed procedures for the solution of special database tasks (especially query analysis and transaction management) will be discussed. The concepts of implementation will be applied to classical (relational model) as well as to more recent data models (distributed, XML). In addition to necessary theoretical fundamentals, practical concepts will be introduced that allow database administrators the efficient tuning of databases.

Lecture: Web Science

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

Twenty years after the birth of the World Wide Web, Web Science has been becoming a new study field in Computer Science. This course introduces fundamental concepts (web centralities & algorithms, network models and web engineering principles) of Web Science. We then give an overview on regular and random network models, influence, economic, and biological networks. In the following we study dynamic processes on complex networks (emergence, percolation, epidemics, synchrony, walking and searching, net gain and repeated games). In the engineering part we dig into emerging cloud & grid computing approaches like GoogleApp, Google Wave (XMPP) and Bittorrent. With the knowledge gained in the preceding chapter we can analyse and engineer advanced web applications like the Wikipedia, personal learning environments and massive 3D multimedia environments.

Proseminar: Intelligente Verteilte Systeme

Lecturers: Dipl.-Inform. Christoph Terwelp Dr. Karl-Heinz Krempels Prof. Dr. Matthias Jarke

Seminar: Information Management in the Web

Lecturers: Dipl.-Inform. Sandra Geisler Fisnik Kastrati, M.Sc. Dr. Xiang Li Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

Today, users can use a large number of tools and interfaces to find and manage information on the Web. However, many tasks require still a significant human effort, such as the integration of data across different, heterogeneous web sources.

Practical course (basic level): Unternehmensgründung und neue Medien

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

Unternehmensgründung und neue Medien ist ein Praktikum für Bachelor-Studenten, in dem die Erstellung eines komplexen Informationsprodukts erlernt wird. In diesem Semester stehen "Serious Games" im Mittelpunkt. Voraussetzungen sind dabei Kenntnisse aus den Vorlesungen Programmierung sowie Datenstrukturen und Algorithmen.

Practical course (advanced level): Hightech Entrepreneurship and new Media

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

The course combines tutorials and lectures on the development of complex information products with practical experience in start-ups on specific and typical IT-related problems of the companies taking part in the lab. Integrated into the concept of this course is the development of presentation and other soft skills.

SS 11

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Lecture: Datenbanken und Informationssysteme

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

Die Vorlesung gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen

Lecture: Distributed Systems and Middleware

Lecturers: Prof. Dr. Matthias Jarke Dr. Karl-Heinz Krempels

The lecture covers the basic principles of distributed systems, e.g. communication, parallelization, distributed transactions, replication, synchronization, middleware.

Proseminar: Datenbanken und Informationssysteme (Proseminar)

Lecturers: Dipl.-Inform. Sandra Geisler Dr. Karl-Heinz Krempels PD Dr. Christoph Quix Dipl.-Inform. Christoph Terwelp Prof. Dr. Matthias Jarke

Seminar: Algorithms for Complex Networks

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

Networks play a central role in many sectors employing information technology, such as communication, mobility, and transport, social interactions and political activities. Its complex and nearly incomprehensible entanglements of various structures and its huge effect on seemingly unrelated institutions and organizations, the need to understand large networks, their complex structures, and the processes governing them is becoming very important for many application areas and use cases, such as recommender systems, overlapping communities, mobile communities, multimedia networks, software artifact networks, software repositories, digital libraries, web 2.0 artifacts, XMPP protocol artifacts, innovation networks and learning networks. To analyze existing large and complex networks and to design new and more efficient algorithms for solving various problems on these networks is an important task since many of them have become so large and complex that classical algorithms are not sufficient anymore. This seminar tries to get an overview on existing algorithms and open research challenges leading to future research to be carried out in master thesis and Phd thesis work.

Practical course (advanced level): Hightech Entrepreneurship and new Media

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

The course combines tutorials and lectures on the development of complex information products with practical experience in start-ups on specific and typical IT-related problems of the companies taking part in the lab. Integrated into the concept of this course is the development of presentation and other soft skills.

Practical course (advanced level): CSCW Experience Lab

Lecturers: Dipl.-Inform. Nils Jeners Prof. Dr. Wolfgang Prinz

The goal of this lab is to gain practical experience in collaboration by working on a selected project. Each student team will work on one project under different collaborative settings (synchronously, asynchronously, face-to-face, remote).

Practical course (advanced level): Accenture Campus Challenge 2011: Wettbewerbsvorteile durch Smart Sustainability

Lecturers: PD Dr. Christoph Quix Prof. Dr. Matthias Jarke

Die Campus Challenge ist ein Wettbewerb, bei dem Sie als Team im Frühjahr/Sommer 2011die Möglichkeit haben, Ihre wissenschaftlichen Methoden und Kenntnisse mit unternehmerischem Denken und unternehmerischer Umsetzungsfähigkeit zu kombinieren. Das Projekt wird von der Ideenfindung bis hin zur Präsentation Ihres Konzeptes vor einer hochkarätigen Jury am deutschen Hauptsitz von Accenture in Frankfurt/Kronberg intensiv durch Accenture-Coaches und die Betreuer der RWTH begleitet.

WS 10/11

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Lecture: Web Science

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

Twenty years after the birth of the World Wide Web, Web Science has been becoming a new study field in Computer Science. This course introduces fundamental concepts (web centralities & algorithms, network models and web engineering principles) of Web Science. We then give an overview on regular and random network models, influence, economic, and biological networks. In the following we study dynamic processes on complex networks (emergence, percolation, epidemics, synchrony, walking and searching, net gain and repeated games). In the engineering part we dig into emerging cloud & grid computing approaches like GoogleApp, Google Wave (XMPP) and Bittorrent. With the knowledge gained in the preceding chapter we can analyse and engineer advanced web applications like the Wikipedia, personal learning environments and massive 3D multimedia environments.

Seminar: Personal and Mobile Health Care

Lecturers: Prof. Dr. Matthias Jarke Dr. Andreas Lorenz PD Dr. Christoph Quix

A growing number of citizens desire to be empowered with applications for health care. Personalised and mobile healthcare is a fast growing trend to improve health care outcomes in daily life. It concerns personalized health records, wearable sensors, 24/7 monitoring systems, mobile assistants, telemedicine and other emerging technologies.

SS 10

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Lecture: Advanced Data Models

Lecturers: PD Dr. Christoph Quix Prof. Dr. Matthias Jarke

This lecture presents advanced concepts in data modeling. In particular, we will discuss formal methods for the representation and management of data models. In addition, methods for data integration, which are based on these formalizations, will be discussed. The tutorials will present practical examples for the presented concepts.

Lecture: Datenbanken und Informationssysteme

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

Die Vorlesung gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen

Practical course (basic level): Mobile Cloud Computing Lab

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR

In this basic level lab course students will get the chance to operate on up to 128 virtual servers of Sun Enterprise T5240 based on Apache Hadoop and Google AppEngine in order to provide services for the consumption on various mobile clients including the Android devices such as Motorola Droid/Milestone and HTC Hero or the Apple iPhone. Tasks will mainly be located in the domain of mobile Multimedia Management, e.g. Mobile Augmented Reality scenarios. Further details will be announced later.

Practical course (advanced level): Accenture Campus Challenge 2010: Der Arbeitsplatz der Ne(x)t Generation

Lecturers: PD Dr. Christoph Quix Prof. Dr. Matthias Jarke

Die Campus Challenge ist ein Wettbewerb, bei dem Sie als Team im Frühjahr/Sommer 2010 die Möglichkeit haben, Ihre wissenschaftlichen Methoden und Kenntnisse mit unternehmerischem Denken und unternehmerischer Umsetzungsfähigkeit zu kombinieren. Das Projekt wird von der Ideenfindung bis hin zur Präsentation Ihres Konzeptes vor einer hochkarätigen Jury am deutschen Hauptsitz von Accenture in Frankfurt/Kronberg intensiv durch Accenture-Coaches begleitet.

WS 09/10

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Lecture: Implementation of Databases

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

The lecture introduces basic technologies of the realization of database systems. Beside the coarse architecture (e.g. layer architecture) detailed procedures for the solution of single tasks (especially query analysis and transaction management) will be discussed. The concepts of implementation will be applied to classical (relational model, network model) as well as to more recent data models (distributed, object-oriented, deductive). In addition to necessary theoretical fundamentals, practical concepts will be introduced that allow database administrators the efficient tuning of databases.

Lecture: Web Science II

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

With the emerging development and impacts of World Wide Web, Web Science having information and social dimensions has been becoming a new study field in Computer Science.

Seminar: Data Streams and Dataspaces

Lecturers: Prof. Dr. Matthias Jarke

Practical course (advanced level): Hightech Entrepreneurship and New Media

Lecturers: PD Dr. Ralf Klamma, AOR

SS 09

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Lecture: Einführung in Datenbanken

Lecturers: PD Dr. Ralf Klamma, AOR Prof. Dr. Matthias Jarke

Die Vorlesung gibt einen einführenden Überblick über Datenbanken und ihre Verwendung in Informationssystemen

Lecture: Algorithmen und Datenstrukturen

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Christoph Quix

In der Vorlesung werden die grundlegenden Konzepte des Algorithmenentwurfs, der Datenspeicherung und Datenverwaltung vermittelt.

Proseminar: Network Analysis in a Network Age

Lecturers: Prof. Dr. Matthias Jarke PD Dr. Ralf Klamma, AOR Dipl.-Inform. Anna Hannemann Zinayida Petrushyna, M.Sc.

Methoden der Netzwerkanalyse werden in so verschiedenen Anwendungsbereichen wie Projektplanung, komplexe Systeme, elektronische Schaltungen, soziale Netzwerke, Verkehrssysteme, Kommunikationssysteme, Epidemiologie, Bioinformatik, Hypertextsystemen, Textanalyse, Bibliometrie, Organisationstheorie, genealogische Forschung und Ereignisanalyse benötigt. Dieses Proseminar soll die formalen und algorithmischen Grundlagen zur Analyse solcher Netzwerke auf den Ebenen der Elemente, der Gruppen und der Netzwerke selbst erarbeiten.

Practical course (advanced level): Accenture Campus Challenge 2009: Innovative elektronische Marktplätze für Entwicklungs- und Schwellenländer

Lecturers: PD Dr. Christoph Quix Mohamed Amine Chatti

Die Campus Challenge ist ein von Accenture initiierter Wettbewerb für Studenten technischer und wirtschaftswissenschaftlicher Studiengänge. Die Studenten erhalten die Möglichkeit, sich mit modernen Technologien auseinander zu setzen und von der intensiven Zusammenarbeit mit unseren IT-Beratern sowie unseren Technologie-Partnern zu profitieren. Eine große Chance, aktuelles Wissen in Projektmethodik und der Lösung praxisrelevanter Anwendungsprobleme zu erwerben.