Details zur Lehrveranstaltung
| Statistical Methods in Data Analysis | |||||||
| Modul: | Phy-Ma-Vert: Physikalische Vertiefung | ||||||
| Lecture language | English | ||||||
| Summary of Lecture: | Content of lectures and tutorials: probability: axioms and applications; random variables; probability density functions; central limit theorem; measurement and statistical inference; statistical and systematic uncertainties; error propagation; parameter estimation; maximum likelihood method; hypothesis tests; Monte Carlo methods; applications: interpretation of measurement results, combination of measurements, particle searches, kinematic fitting | ||||||
| data set up-to-date | |||||||
| Scope: | lecture: 2 hours/week tutorials: 1 hours/week | ||||||
| Time/location: | DO(4) ASB/328 | ||||||
| Tutorials: |
|
||||||
| Audience: | Vertiefung Bachelor (PV) und Master (alle) | ||||||
| Specialization area: | |||||||
| Previous knowledge: | Certificate: | für Bachelor: schriftliche Hausaufgabe/Belegarbeit | |||||
| Enrolment: | keine | ||||||
| Web-reference: | https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/21107408912/CourseNode/93721730140623 | ||||||