TUBAFdigital - Stochastic Methods for Materials Science
TU Bergakademie Freiberg | semesterübergreifend
TUBAFdigital - Stochastic Methods for Materials Science
Basic information:
- Lecturer: Prof. Dr. Björn Sprungk
- Tutor: M. Sc. Hanyue Gu
- Intended audience: 3. CMS, 1. MAMA, 9. VT
- Schedule
Lecture: Mondays, 09:45 - 11:15, room SPQ-1302
Exercise: Tuesdays (odd weeks), 11:30 - 13:00, room MIB-1113
Information for SUUUpoRT students:
This course is part of the SUUUpoRT and TUBAFdigital program. In case SUUUpoRT students want to attend the lectures online, we provide a hybrid mode for the lectures. Please inform the lecturer if hybrid mode is required. Also there is the possibility to obtain a certificate of participation given the succesful completion of certain quizes. Please enroll in the corresponding learning group "SUUUpoRT-Students"!
Final exam:
Depending on the number of participants the final exam will either be
- a 25-minutes oral exam
- or a 90-minutes written exam
This will be decided and announced in the course of the winter term.
Prerequisite:
A programming project where students need to apply the learned methods to data.
The objective of this course is to convey an understanding of the role of stochastic modelling and stochastic algorithms for materials science. The range of topics includes
- basics in probability theory (random variables, distributions, characteristics, limit theorems)
- basics in statistics (graphics, estimation and confidence, hypothesis testing)
- regression analysis (linear models, least squares, statistics, nonlinear regression),
- stochastic models for random materials (Poisson process, Boolean model, random packings, random mosaics)
- stochatic simulation (Monte Carlo and Markov chain Monte Carlo algorithm)
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