| Course: | Semantic Grid (Seminar) |
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| ID: | KA:SGR |
| Authors: | Sure, Studer |
| ECTS: | 3 |
| Classification: | 3.6 |
| Description: | The Semantic Web is seen as a means to enrich content on the web with machine-processable semantics. However, until now, the Semantic Web mainly addresses methods and technologies for static information, in contrast to the often dynamic services. On the other hand grid technology addresses the flexible and coordinated sharing of resources in dynamic groups of individuals or organizations. Typical problems are security aspects, retrieval and allocation of resources, as well as interoperability of services. As different applications use different data formats, this task is not trivial. In this seminar we will investigate how semantic technologies can help to overcome these problems. This includes application scenarios from automobile industry, biotechnology, and nature sciences. The course will be held in German. |
| Course: | Semantic Technologies (Seminar) (Semantische Technologien: Methoden und Anwendungen)) |
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| ID: | KA:STE |
| Authors: | Sure, Studer |
| ECTS: | 3 |
| Classification: | 3 |
| Description: | The Semantic Web is a very active field of research. Goal of this seminar is to cover up-to-date research questions. The details will only be fixed shortly before the course starts. The course will be held in German. |
| Course: | Knowledge Portals (Seminar) |
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| ID: | KA:KPO |
| Authors: | Sure, Studer |
| ECTS: | 4.5 |
| Classification: | 1.3.7, 2.7.1 |
| Description: | Goal of this seminar is to examine knowledge management approaches to efficiently represent large amounts of knowledge as found in big enterprises or organizations. The participants will develop their own knowledge portals based on existing application servers such as ZOPE or JBOSS. These portals will be presented and evaluated towards the end of the course. The course will be held in German. |
| Course: | Knowledge Discovery (Seminar) |
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| ID: | KA:KDS |
| Authors: | Sure, Studer |
| ECTS: | 4.5 |
| Classification: | 1.3.2, 1.3.6 |
| Description: | This seminar focuses on deploying techniques learnt in the corresponding course. The participants will apply machine learning methods to identify relevant information from large data repositories. This includes the implementation in Java and an experimental evaluation. The results will be presented and discussed towards the end of the course. The course will be held in German. |
| Course: | Intelligent Systems in Finance (Intelligente Systeme im Finance) |
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| ID: | KA:ISF |
| Authors: | Seese |
| ECTS: | 4.5 |
| Classification: | 1.3.6, 2.7.6, 3.5 |
| Description: | A new generation of methods, generally called intelligent systems, are currently applied for various business and financial modeling tasks; and often outperform classical statistical approaches. The goal of this course is to give a well-founded introduction into these methods. This includes intelligent software agents, genetic algorithms, neural networks, fuzzy logic, expert systems, case-based reasoning and intelligent hybrid-systems. The application will focus on the financial domain such as for risk-management, stock quote analysis, portfolio management, and economic modeling. The course will be held in German. |
| Course: | Management of Computer Science Projects (Management von Informatikprojekten) |
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| ID: | KA:MCP |
| Authors: | Stucky, Schätzle |
| ECTS: | 4.5 |
| Classification: | UNKNOWN |
| Description: | This course will cover the conditions, influencing factors, and methods for planning, deployment, and controlling of computer science projects. The following topics will be included: project environment and structure, expense estimation, project infrastructure and controlling, decision processes, negotiation, and time management. The course will be held in German. |