Teaching Offer - SS 2014

Master Study Bioinformatics

Machine Learning: Unsupervised Techniques
365.077 (2VL), Sepp Hochreiter
Machine Learning: Unsupervised Techniques
365.078 (1UE), Andreas Mitterecker, Andreas Mayr, Thomas Unterthiner
Genome Analysis & Transcriptomics
365.081 (2KV), Alois Regl
Structural Bioinformatics
365.082 (2KV), Alois Regl
Theoretical Concepts of Machine Learning
365.041 (2VL), Sepp Hochreiter
Theoretical Concepts of Machine Learning
365.042 (1UE), Gundula Povysil, Andreas Mayr, Thomas Unterthiner
Introduction to R
365.079 (2KV), Ulrich Bodenhofer
Special Topics on Bioinformatics: Population genetics
365.036 (2KV), Günter Klambauer, Gundula Povysil
Master's Seminar
365.067 (2SE), Sepp Hochreiter, Ulrich Bodenhofer

Master Study Computer Science

Machine Learning: Unsupervised Techniques
365.077 (2VL), Sepp Hochreiter
Machine Learning: Unsupervised Techniques
365.078 (1UE), Gundula Povysil
Introduction to R
365.079 (2KV), Ulrich Bodenhofer
Theoretical Concepts of Machine Learning
365.041 (2VL), Sepp Hochreiter
Theoretical Concepts of Machine Learning
365.042 (1UE), Andreas Mitterecker
Master's Thesis Seminar SS
365.080 (3SE), Sepp Hochreiter, Ulrich Bodenhofer

PhD Study

PhD Seminar in Computer Science 3
365.021 (3SE), Sepp Hochreiter, Ulrich Bodenhofer

Bachelor Study Biological Chemistry

Bachelor Seminar Biological Chemistry JKU (incl. Bachelor Thesis)
347.337 (1SE), Sepp Hochreiter et. al

Further Teaching Information

Previous Semesters

Computational Engineering (CE) Colloquium

Guidelines for submitting a Master's Degree Thesis

Guidelines for officially submitting a Dissertation Topic