Details zur Lehrveranstal­tung

Stochastic Processes with Python
Modul:	Phy-Ba-PV: Physikalische Vertiefung
Vorlesungssprache	Englisch
Inhalt der Lehrveranstaltung:	Diffusing particles, stochastic gene expression in biological cells, but also fluctuating stock prices all represent examples of stochastic processes. In this lecture, we will simultaneously develop the necessary mathematical theory, discuss physical example and visualize both using interactive Python notebooks, thus enabling learning by doing.
	Datensatz aktualisiert
Umfang:	Vorlesung: 2 Stunden/Woche Übungen/Seminare: 1 Stunden/Woche
Zeit/Ort:	MO(2) REC/C118
Übungen:	Gruppe:     Zeit/Ort:     MO(3) ugW AVO
Hörerkreis:	Vertiefung Bachelor (PV) und Master (alle)
Vertiefungsgebiet:
Vorkenntnisse:	Elementare Wahrscheinlichkeitstheorie, Differential- und Integralrechnung, erste Programmiererfahrungen sind ein Plus
Nachweis:	Teilnahmenachweis
Einschreibung:	OPAL
Web-Referenz:	https://bildungsportal.sachsen.de/opal/auth/RepositoryEntry/31829786638?16
Target audience: - Physics students at the Bachelor or Master’s level - Mathematics students interested in applications of stochastic processes - NanoBioPhysics and Molecular Bioengineering Master students with a background in quantitative methods Requirements: Previous programming experience is not a requirement, but a plus; previous exposure to ordinary differential equations (ODE) is recommended Date: Monday 9am (first lecture on October 11th) Location: REC/C118/U (at the Physics faculty) https://navigator.tu-dresden.de/etplan/rec/01/raum/217501.0040 Every second Monday (i.e. 11.10.2021, 01.11.2021, ...), we will have programming tutorials right after the lecture: Every second Monday 11:10am in the PC pool REC/B113 https://navigator.tu-dresden.de/etplan/rec/01/raum/217801.0320 Depending on the current situation the lecture and the tutorial will be conducted either in-person or online via zoom.