Literature for courses   (Literatur zu Vorlesungen)
Faculty 6.2 Computer Science    
   
Informatics basic courses   (Vorlesungen Informatik Grundstudium)    
Grundzüge der Theoretischen Informatik (Seidel)
Grundzüge von Datenstrukturen und Algorithmen (Bläser)
Informationssysteme (Dittrich)
Nebenläufige Programmierung (Hermanns)
Programmierung 1 (Hermanns)
Programmierung 2 (Hack)
Systemarchitektur (Wilhelm)
Software Praktikum (Zeller)
Mathematik für Informatiker (Eschmeier)
Progammieren für Ingenieure (Herfet)
 
 
Informatics core courses   (Vorlesungen Informatik Hauptstudium)    
Algorithms and Data Structures (Neumann)
Artificial Intelligence (Siekmann/Wahlster)
Automated Reasoning (Weidenbach)
Compiler Construction (Wilhelm)
Complexity Theory (Bläser)
Computer Algebra (Schreyer)
Computer Architecture (Paul)
Computer Graphics (Slussalek)
Cryptography (Backes)
Database Systems (Dittrich)
Data Networks (Hermanns)
Distributed Systems (Druschel)
Embedded Systems (Wilhelm/Steger)
Geometric Modeling (Seidel)
Image Processing and Computer Vision (Weickert)
Information Retrieval (Weikum)
Introduction to Computational Logic (Smolka)
Machine Learning (Hein)
Medieninformatik (Krüger)
Operating Systems (Druschel)
Optimization (Althaus)
Security (Hutter/Stephan)
Semantics (Smolka)
Software Engineering (Zeller)
Telecommunication (Herfet)
Verification (Finkbeiner)
 
 
Informatics advanced courses   (Vertiefungsvorlesungen Informatik Hauptstudium)    
Advanced Complexity Theory (Bläser)
Advanced Cryptography (Backes)
Algorithms and Randomization (Fountoulakis)
Computational Thinking (Mehlhorn)
Correspondence Problems in Computer Vision (Bruhn)
Differential Equations in Image Processing and Computer Vision (Weickert)
Distributed Database Systems (Hose/Schenkel)
Future Media Internet (Herfet)
Image Compression (Weickert)
Informationsmanagement 1-5 (Schmidt)
Mapping General Purpose Algorithms to Many- and Multicore Architectures (Slusallek)
Probabilistic Graphical Models and their Applications (Gehler/Schiele)
Statistical Natural Language Processing (Klakow)
Quantitative Model Checking (Hermanns, Hahn)
Query Optimization (Neumann)
Realistic Image Synthesis (Slusallek)
Seminar Advanced Complexity Theory (Bläser)
Seminar Computer Graphics (Slussalek)
Statistical Geometry Processing (Wand)
Text-to-Speech Synthesis (Möbius)
Ubiquitous Computing (Krüger, Schöning)
Ubiquitous Media (Krüger)
Unix Kurs (Spurk)
 
 
Bioinformatics courses   (Vorlesungen der Bioinformatik)    
Bioinformatik 1 (Lenhof)
Bioinformatik 2 (Lenhof)
Bioinformatik 3 (Helms)
Computational Chemistry 1 (Helms)
Computational Chemistry 2 (Antes)
Discrete Computational Biology (Hellmuth)
Fighting cancer with bioinformatics (Lenhof)
Modern Methods in Drug Discovery (Hutter)
Phylogenies and viral evolution (McHardy)
Elements of Statistical Learning I (Lengauer)
Structural Bioinformatics (Sommer)
 
 
 
Faculty 6.1 Mathematics    
   
Mathematics basic courses   (Vorlesungen Mathematik Grundstudium)    
Analysis 1 (Speicher)
Analysis 2 (Speicher)
Analysis 3 (Speicher)
Einführung in die Algebra und Zahlentheorie (Gekeler)
Euklidische Geometrie (Labs)
Höhere Mathematik für Ingenieure 1-4 (Bildhauer, Louis)
Lineare Algebra 1-2 (Schreyer)
Mathematik für Naturwissenschaftler (Apushkinskaya)
Mathematik für Studierende der Biologie und des Lehramtes Chemie (Grzibovskis)
Modellierung / Programmierung (Kohr)
Praktische Mathematik (Louis)
Theorie und Numerik von gewöhnlichen Differentialgleichungen (Louis)
 
 
Mathematics core courses   (Vorlesungen Mathematik Hauptstudium)    
C*-Algebren (Weber)
Elementarkurs partielle Differentialgleichungen (Apushkinskaya)
Funktionalanalysis I (Groves)
Funktionalanalysis II (Eschmeier)
Funktionentheorie (Groves)
Funktionentheorie II (Eschmeier)
Komplexe Analysis (Eschmeier)
Partielle Differentialgleichungen 1 (Hermann)
Partielle Differentialgleichungen 2 (Herrmann)
Seminar zur Analysis (Eschmeier)
Seminar zur Stochastik (Bender)
Stochastische Differentialgleichungen (Bender)
Zinsmarktmodelle (Bender)