Course Details
| Statistical Methods in Data Analysis | |||||||
| Modul: | Phy-Ma-Vert: Physikalische Vertiefung | ||||||
| Vorlesungssprache | Englisch | ||||||
| Inhalt der Lehrveranstaltung: | Probability and likelihood, probability-density distributions and moments, function of random variables, selected probability-density distributions, central-limit theorem, error analysis and error propagation, statistical inference, significance, maximum-likelihood methods, parameter estimation, fits, confidence intervals, Monte-Carlo methods | ||||||
| Datensatz aktualisiert | |||||||
| Umfang: | Vorlesung: 2 Stunden/Woche Übungen/Seminare: 1 Stunden/Woche | ||||||
| Zeit/Ort: | DO(2) SE2/201 | ||||||
| Übungen: |
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| Hörerkreis: | Vertiefung Bachelor (PV) und Master (alle) | ||||||
| Vertiefungsgebiet: | |||||||
| Vorkenntnisse: | Grundlagen der Analysis und Lineare Algebra | Nachweis: | |||||
| Einschreibung: | |||||||
| Web-Referenz: | http://iktp.tu-dresden.de/index.php?id=725 | ||||||
| The exercises will consist mostly of simple calculations and demonstrations. Some exercises might require a computer to be solved. | |||||||