Courses in Winter Semester

PRELIMINARY of Laboratory of Biomedical Engineering

Course No: 18-kp-1050-tt

Outline: This module addresses the different branches of biomedical engineering. Contents of lab experiments cover current topics of biomedical engineering like medical robotics, measuring and sensor technology, biomechanics, radiotherapy, imaging techniques, biosignal-monitoring, gerontology or Lab-on-a-Chip.

Important note: You have to be present in this preliminary session as during this event the groups will be determined and the dates of the experiments will be announced. Please note that each of the five experiments will take approximately 3 to 4 hours.

Laboratory of Biomedical Engineering

Course No: 18-kp-1050-pr

Outline: This module addresses the different branches of biomedical engineering. Contents of lab experiments cover current topics of biomedical engineering like medical robotics, measuring and sensor technology, biomechanics, radiotherapy, imaging techniques, biosignal-monitoring, gerontology or Lab-on-a-Chip.

Important Note: You have to be present in the preliminary session as during this event the groups will be determined and the dates of the experiments will be announced. Please note that each of the five experiments will take approximately 3 to 4 hours.

Information Theory I – Lecture

Course No: 18-kp-1010-vl

Contents: This lecture course introduces the fundamentals of information theory and network information theory.

Outline: Information, uncertainty, entropy, mutual information, capacity, differential entropy, Gaussian channels, basics of source and channel coding, linear block codes, Shannon’s source coding theorem, Shannon's channel coding theorem, capacity of Gaussian channels, capacity of bandlimited channels, Shannon's bound, bandwidth efficiency, capacity of multiple parallel channels and waterfilling, Gaussian vector channels, multiple-access and broadcast channels.

Detailed Lecture dates: Please look at TUCAN

Information Theory I – Exercise

Course No: 18-kp-1010-ue

Contents: This exercise course takes place 6 times and introduces the fundamentals of information theory and network information theory.

Genetic Engineering – Lecture

Course No: 10-13-0015-vl

Teachers: Prof. Dr. rer. nat. Adam Bertl; Dr. rer. nat. Arnulf Kletzin; Prof. Dr. techn. Heinz Köppl; Prof. Dr. rer. nat. Alexander Löwer; Prof. Dr. Ulrike Nuber; Prof. Dr. Jörg Simon; Prof. Dr. Viktor Stein; Prof. Dr. rer. nat. Beatrix Süß

Genetic Engineering – Seminar

Course No: 10-03-0015-se

Bioinformatics I

Course No: 18-kp-1020-vl

• Biomolecular foundations of high-throughput measurement techniques (Microarrays, RNA-Seq, genome sequencing, proteinarrays, mass-spectrometry, flow-cytometry, mass-cytometry, genomics, proteomics, metabolomics)

• Foundations of statistics and machine learning (decision theory, regression, classification and clustering)

• Exact substring search, dynamic programming, algorithms for sequence comparison (PAM, BLAST, BLAST2, etc), alignment of multiple sequences (ClustalW, DAlign, etc)

• Important databases in bioinformatics and their use in medicine and biology (GenBank, Gene Expression Omnibus, Rfam, UniProt, Pfam, KEGG, BRENDA, Pathway Commons)

• Analysis of interaction networks (modularity, graph partitioning, spanning trees, differential network analysis, network motifs, STRING database, PathBLAST)

• Introduction to structural biology, structure prediction for RNA and proteins, Protein Data Bank (PDB)

Bioinformatics II

Course No: 18-kp-2120-vl

This module •is for students finished Bioinformatics I.

It contains:

• Elementary methods of machine learning: Regression, classification, clustering (probabilistic graphical models)

• Analysis and visualization of high-dimensional data (multi-dimensional scaling, principal component analysis, embedding methods with deep neural networks, tSNE, UMAP)

• Data-driven reconstruction of molecular interaktion networks (Bayes nets, solution to Gausian graphical models, Causality analysis)

• Analysis of interaction networks (modularity, graph partitioning, spanning trees, differential networks, network motifs, STRING database, PathBLAST)

• Dynamical models of molecular interaction networks (stochastic Markov-modes, differential equations, Reaction rate equation)

• Elementary algorithms for structure determination of proteins and RNAs (Secondary structure prediction of RNAs, molecular dynamics, common simulators and force fields)

Proseminar ETiT

Course No: 18-kp-1000-ps Proseminar ETiT

You can register for a proseminar at BCS at any time.

If you are interested in doing a proseminar under supervision of BCS, please, do not hesitate to contact any member of BCS and ask for details.

Vocational Oriented Research Internship

Course No: 10-01-0040-pr

You can register for an internship at BCS at any time. We are always looking for outstanding individuals as internships for a few months at our Lab.

If you are interested in doing an internship under supervision of BCS, please, do not hesitate to contact any member of BCS and ask for details.

Project Seminar Communication and Sensor Systems

Course No: 18-kp-1041-pj

Investigating and solving specific problems concerning communication and sensor systems (Problems concerning communications engineering, microwave technology, signal processing, sensor networks etc. are possible, topics will be defined out of the recent research topics of the involved labs), working on a a given task by one’s own, organizing and structuring of a seminar task, searching and analyzing of scientific reference publications for a given task, summarizing achieved results and conclusions by means of a written report, presenting achieved results and conclusions and defending them in an oral discussion including audience.

Addition to Project Seminar Communication and Sensor Systems

Course No: 18-kp-1042-pj

This module can be used as replacement for the “project week”.

The description of this module is similar to 18-kp-1041-pj Project Seminar Communication and Sensor Systems.