Teaching Overview

Our teaching covers relevant elements from the research areas of the Webis Group:

  • Search Algorithms, Logics, Knowledge Processing [s, l, mk]
  • Information Retrieval, Machine Learning [ir, ml]
  • Databases [db]
  • Web Technology [wt]

The table below organizes the teaching material according to the study course level; the cells are hyperlinked: clicking on the text will take you to the course slides in the Lecturenotes repository. The drop-down box "Filter..." highlights courses with respect to the selected criterion. The letter codes in the list above [s, l, mk, ir, ml, db, wt] are used within the page numbering scheme of the Lecturenotes.




Graduate Studies
Modeling &
Constraints
Diagnosis Planning &
Configuration
Semantic
Web
Search
Algorithms
Logics &
Calculi
Logics
Extensions
Learning
Theory
Information Retrieval
& Extraction
Machine
Learning
Data
Mining
SQL Relational
Theory
Conceptual
Design
Relational
Calculus
Server
Technologies
Client
Technologies
Architectures &
Middleware
Document Languages Network &
Protocols
Mathematics / Statistics / CS Theory / Algorithms / SWE