Courses in summer term 2006:
Special course on XML and Semantic Web-Technologies / engl.
(Tuesday 11-13 and Thursday 11-12, SR 01-009/13, Geb. 101):
The Extensible Markup Language (XML), a W3C standard since 1998,
allows the uniform representation of semistructured documents and data,
readable for humans as well as for machines.
XML is used as universal
data and document format throughout all application areas
of computer science. While XML describes syntax, the resource
description framework (RDF) and the web ontology language (OWL)
can code the semantics, i.e., meaning in a formal way, so that
it can be processed automatically, e.g., for inferring
knowledge from several facts or more generally answering
complex queries.
...
[more]
Seminar Text Mining and Ontology Learning
(Tue. 14-16, HS 01-018, Geb. 101):
This seminar aims at presenting a broad overview of methods for
dealing with texts. It addresses basic problems of natural language
processing as distingushing between different meanings of the same word
and spotting references to the same entities as well as complex tasks
such as learning taxonomic or generic relationsships between
entities and learning ontologies from texts.
...
[more]
Oberseminar Data Mining and Internet Technologies (OS)
(Tuesday 16-18, SR 01-009/13, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group
and aims at presentations of thesis topics, discussion of preliminary ideas and problems,
as well as dissemination of thesis results.
...
[more]
Past Courses in winter term 2005/2006:
Special course on Advanced Artifical Intelligence Techniques
(jointly with Wolfram Burgard, Bernhard Nebel and Luc de Raedt;
Tue. 16-18, Fri. 9-10, HS 00-036, Geb. 101):
This course covers some of the topics that are left out or are only scratched on the surface in the
"Foundations of Artificial Intelligence" course, namely
modelling and reasoning with Bayesian networks,
probabilistic approaches to natural language understanding,
probabilistic approaches in robotics, and
game-theoretic approaches to multi-agent systems.
Each of these topics will be covered in roughly four weeks.
...
[more]
Praktikum/Project XML and Semantic Web Technologies
(irregularily; Wed. 14-18, SR 01-016, Geb. 101):
The praktikum allows students to gain practical knowledge and capabilities
in the usage of XML and semantic web technologies (XML,
XML Schema, XSLT, XQuery, RDF, RDFS, OWL, query languages
and inferencing) in different application scenarios.
...
[more]
Oberseminar Data Mining and Internet-Applications
(Tue. 18-19, SR 01-016, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group
and aims at presentations of thesis topics, discussion of preliminary ideas and problems,
as well as dissemination of thesis results.
...
[more]
Past courses in summer term 2005:
Special course on XML and Semantic Web-Technologies / engl.
(Tuesday 11-13 and Thursday 14-15, SR 00-007, Geb. 106):
The Extensible Markup Language (XML), a W3C standard since 1998,
allows the uniform representation of semistructured documents and data,
readable for humans as well as for machines.
XML is used as universal
data and document format throughout all application areas
of computer science. While XML describes syntax, the resource
description framework (RDF) and the web ontology language (OWL)
can code the semantics, i.e., meaning in a formal way, so that
it can be processed automatically, e.g., for inferring
knowledge from several facts or more generally answering
complex queries.
...
[more]
Seminar Predictive Modelling (S)
(Tuesday 14-16, SR 00-007, Geb. 106):
Predictive modelling (aka supervised learning or
classification / regression) is the key approach
for automating tasks by learning from examples.
By means of a predictive model as e.g., a decision
tree, a neural network or a support vector machine,
a property can be inferred from other properties or
some decision be made based on some information.
Applications are abundant, as, e.g., automatically
detecting spam emails, predicting consumer choices,
translating speech signals to text etc.
...
[more]
Oberseminar Data Mining and Internet Technologies (OS)
(Tuesday 16-18, SR 00-007, Geb. 106):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group
and aims at presentations of thesis topics, discussion of preliminary ideas and problems,
as well as dissemination of thesis results.
...
[more]
Past courses in winter term 2004/2005:
Special course on Advanced Artifical Intelligence Techniques
(jointly with Wolfram Burgard, Bernhard Nebel and Luc de Raedt;
Tue. 16-18, Thur. 14-16, HS 00-036, Geb. 101):
This course covers some of the topics that are left out or are only scratched on the surface in the
"Foundations of Artificial Intelligence" course, namely
modelling and reasoning with Bayesian networks,
probabilistic approaches to natural language understanding,
probabilistic approaches in robotics, and
game-theoretic approaches to multi-agent systems.
Each of these topics will be covered in roughly four weeks.
...
[more]
Praktikum XML and Semantic Web Technologies
(irregularily; Wed. 14-18, SR 01-016, Geb. 101):
The praktikum allows students to gain practical knowledge and capabilities
in the usage of XML and semantic web technologies (XML,
XML Schema, XSLT, XQuery, RDF, RDFS, OWL, query languages
and inferencing) in different application scenarios.
...
[more]
Oberseminar Data Mining and Internet-Applications
(Wed. 18-19, SR 01-016, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group
and aims at presentations of thesis topics, discussion of preliminary ideas and problems,
as well as dissemination of thesis results.
"Lurkers" are welcome after prior request for participation.
...
[more]
Past courses in summer term 2004:
Special course on XML and Semantic Technologies
(Wednesday 11-13, SR 01-018, Geb. 101):
The Extensible Markup Language (XML), a W3C standard since 1998,
allows the uniform representation of semistructured documents and data,
readable for humans as well as for machines.
XML is used as universal
data and document format throughout all application areas
of computer science. While XML describes syntax, the resource
description framework (RDF) and the web ontology language (OWL)
can code the semantics, i.e., meaning in a formal way, so that
it can be processed automatically, e.g., for inferring
knowledge from several facts or more generally answering
complex queries.
...
[more]
Seminar on Recommender Systems
(Wednesday 14-16, SR 01-018, Geb. 101):
Recommender Systems are an intelligent access technology
to large information systems as online catalogs in e-commerce
or digital libraries and have been identified as one of
the key technologies for e-commcerce. Recommender systems
try to recommend users items that are of specific interest
for them, based on user profiles of an online community
build from explicit ratings of products or implicit usage
information. Recommender systems may be as simple and
ubiquitous as Amazons "who bought this, also bought that"
crosslinks, and they may be rather complex knowledge and
data driven systems aiming at modelling human counselors.
...
[more]
Oberseminar on Data Mining and Internet Applications
(Wednesday 17-18, Raum 00-010, Geb. 101):
The oberseminar is targeted to Master and Diploma students at Computer Based New Media group
and aims at presentations of thesis topics, discussion of preliminary ideas and problems,
as well as dissemination of thesis results.
"Lurkers" are welcome after prior request for participation.
...
[more]
Past courses in winter term 2003/2004:
Special course on Bayesian Networks
(Wednesday 11-13, SR 01-018, Geb. 101):
Bayesian networks are a flexible class of models of data mining
(but also of applied statistics).
They can be used to capture the probabilistic dependency of variables
and - contrary to pure prediction models as, e.g., decision trees
- to predict varying and compound target variables.
A bayesian net represents dependencies of variables by means of a graph
and the exact quantities by probability tables.
...
[more]
Seminar on Spam
(Wednesday 14-16, SR 01-018, Geb. 101):
Spam or unsolicited bulk email is both,
a nuisance for users who are flooded with advertising messages, and
an interesting and evolving problem for
the design of messaging services on the technical side as well as
text classification on the methodological side.
In the last two years the amount of spam came up to a level that
enforced most of non-casual users to use some kind of automatic spam filtering.
Since the first Spam conference in Stanford in spring 2003, interest
in this topic increased even more in the scientific community.
...
[more]
Past courses at University of Karlsruhe (until summer term 2003):
auf Deutsch
Home