Advanced Modules - VU

Keywords: ontology engineering, applications, distributed artificial intelligence

The intelligent Semantic Web techniques from the basic courses are applied in practical situations. This includes ontology engineering and innovative Semantic Web applications where amongst others a small but real Semantic Web application will be implemented. Furthermore the Semantic Web basics are extended by related techniques like distributed reasoning (e.g. with multi-agent systems) which to the nature of Web and Semantic Web.

Structure: This 36 ECTS advanced module is comprised of 6 courses and one seminar. The ECTS credit points vary from 3 to 7 depending on the course.

Course: E-Business Innovation
ID: VU-BI
Authors: dr. ing. J. Gordijn, drs. E. Schulten, prof. dr. J.M. Akkermans
ECTS: 7
Classification: 1.3.4, 2.0.1, 2.0.2
Description: The aim of this course is to understand and systematically analyze the multi-disciplinary aspects (strategy, business processes, technology issues, implementation) involved in innovations with information and communication technologies (ICT) in networked businesses. We will discuss theories and practical experiences, from different disciplines and industry sectors, covering some important recent topics in electronic business: formulation of strategy ;design and evaluation of e-business models; organizational readiness; future and perspectives of electronic business. Key topics will be exercised by small classroom workshops as part of an e-business strategy and implementation project to be carried out by the students.


Course: Qualitative Research Methods for the Information Sciences
ID: VU-RM
Authors: prof. dr. J.M. Akkermans (contact), dr. ing. J. Gordijn
ECTS: 3
Classification: UNKNOWN
Description: This course helps prepare students who want to embark on their (Master) research. The course provides an overview and assessment of different scientific research methods, needed in a multi-disciplinary approach to Information Systems and how they function in an organizational context. Major topics are:
  • developing the research questions you want to answer;
  • planning your research;
  • qualitative research methods (e.g. interview, case study, action research, ethnography);
  • quantitative research methods (e.g. survey, questionnaire, statistical data analysis);
  • IS research methods (e.g. modelling, prototyping, simulation, scenario analysis);
  • aspects of theory formation;
  • how do you (and others) know that your research results are valid?;
  • research report writing.


Course: Ontology Engineering
ID: VU-OE
Authors: prof. dr. A.T. Schreiber
ECTS: 3
Classification: 1.0.1, 1.0.2, 1.0.3, 1.0.5, 1.0.7, 2.3.2
Description: Ontologies are nowadays used in computer science a means to share common concepts between information systems. This course is focused on theory, methods, and tools for constructing and/or extending ontologies for this purpose. Teaching subjects typically center around engineering principles, e.g. for subtype hierarchies (backbone identification, viewpoints, dimensions, constraint specification), part-of structures (types of part-of relations, representation of part-of relations), and default knowledge. Also, the mapping and/or integration of different ontologies is discussed. The course contains examples of how ontologies are used in practice. The assignments focus on real-life examples of ontologies currently in use in web applications.


Course: Intelligent Web Applications
ID: VU-IWA
Authors: prof. dr. F.A.H. van Harmelen, A. Hess, R. Siebes
ECTS: 8
Classification: 1.1.1.2, 1.1.3, 1.3.2, 1.3.6, 2.0.1, 2.0.2
Description: The World-Wide Web today is a huge network of information resources which was built in order to broadcast information for human users. Consequently, most of the information on the Web is designed to be suitable for human consumption: The structuring principles are weak, many different kinds of information co-exist, and most of the information is represented as free text. With the increasing size of the web and the availability of new technologies such as mobile applications or smart devices, there is a strong need for making the information on the World Wide Web accessible to computer programs which search, filter, convert, interpret, and summarize the information for the benefit of the user. The Semantic Web is a synonym for a World Wide Web whose accessibility is similar to a deductive database where programs can perform well-defined operations on well-defined data or even derive new information from existing data. This course addresses methods to create and use such a Semantic Web. It extends and complements the ``Web-based Knowledge Representation'' course by: I. deepening the understanding of the formal foundations of knowledge representation and reasoning on the web
A)
Semantics of web languages
B)
Reasoning in Semantic Web Languages
II. investigating typical application scenarios concerned with the use of distributed and heterogeneous information on the web
C)
Information Extraction
D)
Information Integration
E)
Information Access


Course: Behaviour Dynamics
ID: VU-BD
Authors: dr. C.M. Jonker, prof. dr. J. Treur
ECTS: 6
Classification: UNKNOWN
Description: This course teaches analysis and modeling of the dynamics of behaviour in Artificial, Biological, Cognitive and Social systems. Behavioural dynamics occurs in different forms, contexts and complexity. During the course examples of such behaviour are studied coming from software systems (e.g., knowledge- and agent-based systems), biology (e.g., functioning of the blood circulatory system, bacteries), cognition (e.g., the dynamics of beliefs, desires and intentions, emotions and feelings, complex reasoning tasks). The dynamics of behaviour of such systems is analysed (including verification and validation), modelled, and simulated in this course using dedicated techniques and tools.


Course: Organisational Dynamics
ID: VU-OD
Authors: dr. M.C. Schut
ECTS: 6
Classification: UNKNOWN
Description: This course is on the simulation and analysis of organizations and their dynamics. In this respect, an organization is a social or computational structure for achieving controlled performance in pursuit of collective goals. We study the dynamics within existing organizations as well as the dynamics and evolution of organizational structure itself. Computational organization models specify the dynamics of information, personnel, decision responsibilities, tasks, and resources that are distributed geographically and temporally. We consider organizations as complex, dynamic, adaptive and evolving systems. A case study example of such a system, as discussed in the course, involves the traditional economic market. The analysis of organizational structure is explained from internal (managerial) as well as external (market) perspectives. Regarding the latter, evolution is discussed as a mechanism that drives organizational change from the outside. In the course, aspects of the courses on self organizing systems and organization theory are placed in the context of organization dynamics.


Course: Advanced Research Seminar
ID: VU-AS
Authors: To be announced
ECTS: 6
Classification: UNKNOWN
Description: This seminar of 6 per year credits discusses recent and important research topics. The seminar has a loose form (workshop, reads/discussion group, intensive seminar over a few days) and have been set up in a way that it is interesting for our PhD - students (that such a seminar also can organize and teach). It can be also organized around the stay of a foreign guest research worker. The subject circulates in principle annually. At the same time this component can be exploited as experimental test field for new subjects which find afterwards their way in courses in the regular masters, so that this seminar has also a cousin function and spin-off for our regular education renewal.