Introduction to Data Analysis
Lecturers: Lars Robben
Signal processing basics I (Introduction)
Signal processing basics II (analogous and digital data storage; sampling rates; resolution)
Statistical parameters (Signal-noise-ratio; Pearson’s R-value; Crystallographic R-values)
Statistical parameters (distribution functions; weighting factors)
Data manipulation (back-ground subtraction, data smoothing)
Fourier transforms (Resolution, sampling rates, window functions) I
Fourier transforms (Resolution, sampling rates, window functions) II
Signals and their description (Peak functions)
Discrimination of signals from measurement background
Numerical evaluation of the similarity between different data I
Numerical evaluation of the similarity between different data II
Autocorrelation I
Autocorrelation II
“Big data”, neural networks, machine learning and artificial intelligence
Understanding of statistical and data evaluation techniques.
Written exam
Klausur
Will be anounced in the lecture.
1st SWS: Signal processing basics I (Introduction)
2nd SWS: Signal processing basics II (analogous and digital data storage; sampling rates; resolution)
3rd SWS: Statistical parameters (Signal-noise-ratio; Pearson’s R-value; Crystallographic R-values)
4th SWS: Statistical parameters (distribution functions; weighting factors)
5th SWS: Data manipulation (back-ground subtraction, data smoothing)
6th SWS: Fourier transforms (Resolution, sampling rates, window functions) I
7th SWS: Fourier transforms (Resolution, sampling rates, window functions) II
8th SWS: Signals and their description (Peak functions)
9th SWS: Discrimination of signals from measurement background
10th SWS: Numerical evaluation of the similarity between different data I
11th SWS: Numerical evaluation of the similarity between different data II
12th SWS: Autocorrelation I
13th SWS: Autocorrelation II
14th SWS: “Big data”, neural networks, machine learning and artificial intelligence
Basic Data
05-MCM-DA-1
Study Program
Master Materials Chemistry and Mineralogy
Module Name
Multiple (Large) Dataset Analysis
Course Type
Lecture (L)
First Year of Study
3 CP
2 SWS
Summer Term
Course Language
English
Contact Person
Fachbereich 02: Biologie/Chemie
Dr. Lars Robben
NW2 C3051R
Phone: +49 421 218 - 63142
lrobbenuni-bremen.deFachbereich 02: Biologie/Chemie
Dr. Lars Robben
NW2 C3051R
Phone: +49 421 218 - 63142
lrobbenuni-bremen.deLecturer
Fachbereich 02: Biologie/Chemie
Dr. Lars Robben
NW2 C3051R
Phone: +49 421 218 - 63142
lrobbenuni-bremen.deFachbereich 02: Biologie/Chemie
Dr. Lars Robben
NW2 C3051R
Phone: +49 421 218 - 63142
lrobbenuni-bremen.de