Back to selection
| Semester | fall semester 2007 |
| Course frequency | Irregular |
| Lecturers | Kai Hencken (k.hencken@unibas.ch, Assessor) |
| Content | Informationstheorie, Bayesianische Statistik und Inferenz, Monte Carlo Methoden, MCMC, neuronale Netzwerke |
| Learning objectives | Grundlagen der Informationstheorie und Bayesianischer Statistik, Anwendung auf statistische Probleme insbesondere in der Physik |
| Bibliography | wird in der Vorlesung bekannt gegeben |
| Admission requirements | Besuch Thermodynamik von Vorteil, aber nicht zwingend |
| Language of instruction | German |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Module Specialisation: Physics (Master Physics) Module Specialisation: Physics (Master Nanosciences) |
| Assessment format | continuous assessment |
| Assessment details | Uebungen zum Stoff in Begleitung zur Vorlesung |
| Assessment registration/deregistration | Reg.: course registration; dereg.: teaching staff |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Institut für Physik |