004 Datenverarbeitung; Informatik
Refine
Has Fulltext
- yes (14) (remove)
Year of publication
Document Type
- Monograph/Edited Volume (6)
- Doctoral Thesis (4)
- Conference Proceeding (3)
- Master's Thesis (1)
Is part of the Bibliography
- yes (14) (remove)
Keywords
- Informatikdidaktik (3)
- 3DCityDB (1)
- Antwortmengenprogrammierung (1)
- Application Server (1)
- Assessment (1)
- Association Rule Mining (1)
- Assoziationsregeln (1)
- Asynchrone Schaltung (1)
- Asynchronous circuit (1)
- Bedingte Inklusionsabhängigkeiten (1)
- Bildung (1)
- CSC (1)
- CityGML (1)
- Citymodel (1)
- Computer Science Education (1)
- Conditional Inclusion Dependency (1)
- Controller-Resynthese (1)
- Data Dependency (1)
- Database (1)
- Datenabhängigkeiten (1)
- Datenanalyse (1)
- Datenbank (1)
- Datenintegration (1)
- Didaktische Konzepte (1)
- Diversität (1)
- Erkennen von Meta-Daten (1)
- Fundamental Modeling Concepts (1)
- HDI (1)
- Heterogenität (1)
- Hochschuldidaktik (1)
- Hochschullehre (1)
- IBM 360 (1)
- ICT (1)
- ICT competencies (1)
- ISSEP (1)
- Informatics (1)
- Informatics Education (1)
- Informatik (1)
- Informatikstudium (1)
- Informatische Kompetenzen (1)
- Java 2 Enterprise Edition (1)
- Java Virtual Machine (1)
- Key Competencies (1)
- Kompetenzen (1)
- Lebenslanges Lernen (1)
- Link Discovery (1)
- Link-Entdeckung (1)
- Linked Open Data (1)
- Metadata Discovery (1)
- Metadatenentdeckung (1)
- Metadatenqualität (1)
- PAVM (1)
- Petrinetz (1)
- PostGIS (1)
- STG decomposition (1)
- STG-Dekomposition (1)
- Schemaentdeckung (1)
- Schlüsselkompetenzen (1)
- Schlüsselkompetenzen (1)
- Segmentierung (1)
- Signalflankengraph (SFG oder STG) (1)
- Stadtmodell (1)
- Systembiologie (1)
- VM (1)
- VM Integration (1)
- Virtuelle Maschine (1)
- answer set programming (1)
- bild (1)
- competencies (1)
- computer science education (CSE) (1)
- control resynthesis (1)
- data integration (1)
- data profiling (1)
- digitale Hochschullehre (1)
- education (1)
- general education in computer science (1)
- image (1)
- informatische Allgemeinbildung (1)
- key competencies (1)
- logical signaling networks (1)
- logische Signalnetzwerke (1)
- medical (1)
- medizinisch (1)
- metadata discovery (1)
- metadata quality (1)
- petri net (1)
- schema discovery (1)
- segmentation (1)
- signal transition graph (1)
- speed independent (1)
- systems biology (1)
Institute
- Extern (14) (remove)
Die Fachtagungen HDI (Hochschuldidaktik Informatik) beschäftigen sich mit den unterschiedlichen Aspekten informatischer Bildung im Hochschulbereich. Neben den allgemeinen Themen wie verschiedenen Lehr- und Lernformen, dem Einsatz von Informatiksystemen in der Hochschullehre oder Fragen der Gewinnung von geeigneten Studierenden, deren Kompetenzerwerb oder auch der Betreuung der Studierenden widmet sich die HDI immer auch einem Schwerpunktthema.
Im Jahr 2021 war dies die Berücksichtigung von Diversität in der Lehre. Diskutiert wurden beispielsweise die Einbeziehung von besonderen fachlichen und überfachlichen Kompetenzen Studierender, der Unterstützung von Durchlässigkeit aus nichtakademischen Berufen, aber auch die Gestaltung inklusiver Lehr- und Lernszenarios, Aspekte des Lebenslangen Lernens oder sich an die Diversität von Studierenden adaptierte oder adaptierende Lehrsysteme.
Dieser Band enthält ausgewählte Beiträge der 9. Fachtagung 2021, die in besonderer Weise die Konferenz und die dort diskutierten Themen repräsentieren.
KEYCIT 2014
(2015)
In our rapidly changing world it is increasingly important not only to be an expert in a chosen field of study but also to be able to respond to developments, master new approaches to solving problems, and fulfil changing requirements in the modern world and in the job market. In response to these needs key competencies in understanding, developing and using new digital technologies are being brought into focus in school and university programmes. The IFIP TC3 conference "KEYCIT – Key Competences in Informatics and ICT (KEYCIT 2014)" was held at the University of Potsdam in Germany from July 1st to 4th, 2014 and addressed the combination of key competencies, Informatics and ICT in detail. The conference was organized into strands focusing on secondary education, university education and teacher education (organized by IFIP WGs 3.1 and 3.3) and provided a forum to present and to discuss research, case studies, positions, and national perspectives in this field.
Seit den 60er Jahren gibt es im deutschsprachigen Raum Diskussionen um die Begriffe Schlüsselqualifikation und (Schlüssel-)Kompetenz, welche seit ca. 2000 auch in der Informatikdidaktik angekommen sind. Die Diskussionen der Fachdisziplinen und ihre Bedeutung für die Informatikdidaktik sind Gegenstand des ersten Teils dieser Dissertation. Es werden Rahmenmodelle zur Strukturierung und Einordnung von Kompetenzen entworfen, die für alle Fachdisziplinen nutzbar sind. Im zweiten Teil wird ein methodologischer Weg gezeigt, Schlüsselkompetenzen herzuleiten, ohne normativ vorgehen zu müssen. Hierzu wird das Verfahren der Qualitativen Inhaltsanalyse (QI) auf informatikdidaktische Ansätze angewendet. Die resultierenden Kompetenzen werden in weiteren Schritten verfeinert und in die zuvor entworfenen Rahmenmodelle eingeordnet. Das Ergebnis sind informatische Schlüsselkompetenzen, welche ein spezifisches Bild der Informatik zeichnen und zur Analyse bereits bestehender Curricula genutzt werden können. Zusätzlich zeigt das Verfahren einen Weg auf, wie Schlüsselkompetenzen auf nicht-normativem Wege generell hergeleitet werden können.
Deciphering the functioning of biological networks is one of the central tasks in systems biology. In particular, signal transduction networks are crucial for the understanding of the cellular response to external and internal perturbations. Importantly, in order to cope with the complexity of these networks, mathematical and computational modeling is required. We propose a computational modeling framework in order to achieve more robust discoveries in the context of logical signaling networks. More precisely, we focus on modeling the response of logical signaling networks by means of automated reasoning using Answer Set Programming (ASP). ASP provides a declarative language for modeling various knowledge representation and reasoning problems. Moreover, available ASP solvers provide several reasoning modes for assessing the multitude of answer sets. Therefore, leveraging its rich modeling language and its highly efficient solving capacities, we use ASP to address three challenging problems in the context of logical signaling networks: learning of (Boolean) logical networks, experimental design, and identification of intervention strategies. Overall, the contribution of this thesis is three-fold. Firstly, we introduce a mathematical framework for characterizing and reasoning on the response of logical signaling networks. Secondly, we contribute to a growing list of successful applications of ASP in systems biology. Thirdly, we present a software providing a complete pipeline for automated reasoning on the response of logical signaling networks.
There are two common approaches to implement a virtual machine (VM) for a dynamic object-oriented language. On the one hand, it can be implemented in a C-like language for best performance and maximum control over the resulting executable. On the other hand, it can be implemented in a language such as Java that allows for higher-level abstractions. These abstractions, such as proper object-oriented modularization, automatic memory management, or interfaces, are missing in C-like languages but they can simplify the implementation of prevalent but complex concepts in VMs, such as garbage collectors (GCs) or just-in-time compilers (JITs). Yet, the implementation of a dynamic object-oriented language in Java eventually results in two VMs on top of each other (double stack), which impedes performance. For statically typed languages, the Maxine VM solves this problem; it is written in Java but can be executed without a Java virtual machine (JVM). However, it is currently not possible to execute dynamic object-oriented languages in Maxine. This work presents an approach to bringing object models and execution models of dynamic object-oriented languages to the Maxine VM and the application of this approach to Squeak/Smalltalk. The representation of objects in and the execution of dynamic object-oriented languages pose certain challenges to the Maxine VM that lacks certain variation points necessary to enable an effortless and straightforward implementation of dynamic object-oriented languages' execution models. The implementation of Squeak/Smalltalk in Maxine as a feasibility study is to unveil such missing variation points.
The International Conference on Informatics in Schools: Situation, Evolution and Perspectives – ISSEP – is a forum for researchers and practitioners in the area of Informatics education, both in primary and secondary schools. It provides an opportunity for educators to reflect upon the goals and objectives of this subject, its curricula and various teaching/learning paradigms and topics, possible connections to everyday life and various ways of establishing Informatics Education in schools. This conference also cares about teaching/learning materials, various forms of assessment, traditional and innovative educational research designs, Informatics’ contribution to the preparation of children for the 21st century, motivating competitions, projects and activities supporting informatics education in school.
Der internationale Standard CityGML ist zu einer zentralen Schnittstelle für die geometrische wie semantische Beschreibung von 3D-Stadtmodellen geworden. Das Institut für Geodäsie und Geoinformationstechnik (IGG) der Technischen Universität Berlin leistet mit ihren Entwicklung der 3D City Database und der Importer/Exporter Software einen entscheidenden Beitrag die Komplexität von CityGML-Daten in einer Geodatenbank intuitiv und effizient nutzen zu können. Die Software des IGG ist Open Source, unterstützte mit Oracle Spatial (ab Version 10g) aber bisher nur ein proprietäres Datenbank Management System (DBMS). Im Rahmen dieser Masterarbeit wurde eine Portierung auf die freie Datenbank-Software PostgreSQL/PostGIS vorgenommen und mit der Performanz der Oracle-Version verglichen. PostGIS gilt als eine der ausgereiftesten Geodatenbanken und wurde in diesem Jahr mit dem Release der Version 2.0 nochmals um zahlreiche Funktionen und Features (u.a. auch 3D-Unterstützung) erweitert. Die Ergebnisse des Vergleiches sowie die umfangreiche Gegenüberstellung aller verwendeten Konzepte (SQL, PL, Java) geben Aufschluss auf die Charakteristika beider räumlicher DBMS und ermöglichen einen Erkenntnisgewinn über die Projektgrenzen hinaus.
Data dependencies, or integrity constraints, are used to improve the quality of a database schema, to optimize queries, and to ensure consistency in a database. In the last years conditional dependencies have been introduced to analyze and improve data quality. In short, a conditional dependency is a dependency with a limited scope defined by conditions over one or more attributes. Only the matching part of the instance must adhere to the dependency. In this paper we focus on conditional inclusion dependencies (CINDs). We generalize the definition of CINDs, distinguishing covering and completeness conditions. We present a new use case for such CINDs showing their value for solving complex data quality tasks. Further, we define quality measures for conditions inspired by precision and recall. We propose efficient algorithms that identify covering and completeness conditions conforming to given quality thresholds. Our algorithms choose not only the condition values but also the condition attributes automatically. Finally, we show that our approach efficiently provides meaningful and helpful results for our use case.
Business process management aims at capturing, understanding, and improving work in organizations. The central artifacts are process models, which serve different purposes. Detailed process models are used to analyze concrete working procedures, while high-level models show, for instance, handovers between departments. To provide different views on process models, business process model abstraction has emerged. While several approaches have been proposed, a number of abstraction use case that are both relevant for industry and scientifically challenging are yet to be addressed. In this paper we systematically develop, classify, and consolidate different use cases for business process model abstraction. The reported work is based on a study with BPM users in the health insurance sector and validated with a BPM consultancy company and a large BPM vendor. The identified fifteen abstraction use cases reflect the industry demand. The related work on business process model abstraction is evaluated against the use cases, which leads to a research agenda.
Data obtained from foreign data sources often come with only superficial structural information, such as relation names and attribute names. Other types of metadata that are important for effective integration and meaningful querying of such data sets are missing. In particular, relationships among attributes, such as foreign keys, are crucial metadata for understanding the structure of an unknown database. The discovery of such relationships is difficult, because in principle for each pair of attributes in the database each pair of data values must be compared. A precondition for a foreign key is an inclusion dependency (IND) between the key and the foreign key attributes. We present with Spider an algorithm that efficiently finds all INDs in a given relational database. It leverages the sorting facilities of DBMS but performs the actual comparisons outside of the database to save computation. Spider analyzes very large databases up to an order of magnitude faster than previous approaches. We also evaluate in detail the effectiveness of several heuristics to reduce the number of necessary comparisons. Furthermore, we generalize Spider to find composite INDs covering multiple attributes, and partial INDs, which are true INDs for all but a certain number of values. This last type is particularly relevant when integrating dirty data as is often the case in the life sciences domain - our driving motivation.