Courses

The Chair for Digital Libraries and Web Information Systems currently supervises the following courses taught at the University of Passau.

If you are a student and in need of further information, please refer to the respective Stud.IP course site.

ST Courses

The following courses are typically taught during the summer term. In Stud.IP and on other university websites you may see them also abbreviated as SS courses.

 Text Mining

Jelena Mitrović

Prof. Dr. Siegfried Handschuh

 The course is based on the book “Natural Language Processing with Python”.  In this course, after gaining basic knowledge of natural language processing (NLP) and Python programming, students develop their own data-driven methods to address an NLP task.
 Text Mining Project  The course is based on the book “Natural Language Processing with Python”.  In this course, after gaining basic knowledge of natural language processing (NLP) and Python programming, students develop their own data-driven methods to address an NLP task.
Semantic Web Technologies Entrepreneurship & Start-Up Labor (B.Sc.) (M.Sc.)

Dr. Adamantios Koumpis

Prof. Dr. Siegfried Handschuh

 An enhanced interactive and experiential learning to help students successfully address the challenges, the issues and the opportunities faced by entrepreneurs in starting or growing a business venture. The students are asked to discuss case studies and develop content that is necessary for technologists to be familiar with the challenges and the requirements faced when they are asked to meet a variety of marketing, financial and technology requirements.
   Oberseminar für Semantic Computing & NLU

WT Courses

The following courses are typically taught during the summer term. In Stud.IP and on other university websites you may see them also abbreviated as WS courses.

 Web Science

Dr. Adamantios Koumpis

Prof. Dr. Siegfried Handschuh

 The core aim of this course is to gain comprehension on the Web as a complex socio-technical System.
 Information Retrieval und Natural Language Processing

Prof. Dr. Siegfried Handschuh

 Basics of text-based information retrieval, efficient textindexing, Boolean and linear space retrieval models, linkbased algorithms, Web-Meta-Data, Clustering, Text Mining.
 Text Mining Project

Jelena Mitrović

Prof. Dr. Siegfried Handschuh

 The course is based on the book “Natural Language Processing with Python”.  In this course, after gaining basic knowledge of natural language processing (NLP) and Python programming, students develop their own data-driven methods to address an NLP task.
 Ausgewählte Forschungsthemen der eHumanities

Colloquium – Prof. Dr. Malte Rehbein