Courses Map

The table below organizes the Webis courses (see copyright), which cover relevant contents from our research areas. Clicking a table cell will bring you to the respective course slides. Choose a filter criterion to see at which universities or at what level our courses are taught.

Algorithmen und Datenstrukturen	Einführung Algorithm Engineering Sortieren Datenstrukturen Suchen Graphalgorithmen
Datenbanken	Einführung Konzeptueller Datenbankentwurf Logischer Datenbankentwurf Grundlagen relationaler Anfragesprachen SQL Entwurfstheorie relationaler Datenbanken Physischer Datenbankentwurf
Web-Technologie	Einführung Kommunikation und Protokolle für Web-Systeme Dokumentsprachen Server-Technologien Client-Technologien Architekturen und Middleware Semantic Web
Information Retrieval	Introduction Indexing Retrieval Models User Interface Evaluation IR Applications
Natural Language Processing	Introduction Corpus Linguistics Text Models Language Models Words Syntax Semantics Discourse Bias and Fairness NLP Applications
Wahrscheinlichkeitstheorie und Statistik	Einführung Wahrscheinlichkeitsbegriff Kombinatorik Bedingte Wahrscheinlichkeit Zufallsgrößen und Maßzahlen Die Binomialverteilung Das Gesetz der großen Zahlen Die Normalverteilung Hypothesentests
Machine Learning	Introduction Machine Learning Basics Linear Models Neural Networks Support Vector Machines Decision Trees Bayesian Learning Learning Theory Deep Learning Ensemble Methods and Meta Learning Reinforcement Learning
Data Mining	Introduction Cluster Analysis Nearest Neighbor Strategies Latent Variables Analysis Association Analysis
Search Algorithms	Introduction Basic Search Algorithms Informed Search Search Space Representation Search Theory Relaxed Models Game Playing
Logik	Einführung Aussagenlogik Prädikatenlogik Nichtklassische Logiken Erweiterungen und Anwendungen
Modellierung wissensinten. Probleme	Einführung Wissensrepräsentation Begriffe der Modellierung Modellieren mit Constraints Diagnoseansätze Planning and Configuration
Languages and Tools	LISP Knowledge Representation Tools Data Processing Stack
Lecturenotes Generic	Scientific Toolbox Style Guide

© Maintainers of the Lecturenotes repository and main persons in charge are Benno Stein and Theo Lettmann, who also authored a large portion of the scripts. Our mission is to create first-class teaching resources for selected basic and advanced computer science topics, while putting high emphasis on both semantical and syntactical coherence. In this regard the mathematical language is unified across all units, as is the ''formalization dialectics'', but also the use of fonts, colors, and style.
Meanwhile other computer scientists have joined the team: Michael Granitzer (Passau University) as of 2013, Matthias Hagen (Friedrich Schiller University Jena) as of 2015, Martin Potthast (Leipzig University) as of 2017, Henning Wachsmuth (Leibniz University Hannover) as of 2018. The Lecturenotes scripts are continuously improved and extended; the scripts are freely available and their use is encouraged as long as they are not modified and a copyright note pointing to the authors is provided. Hints regarding the improvement or the use of the scripts are very welcome.

Benno Stein and Theo Lettmann

Courses Map

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TIRA