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Introduction to Data Analysis

Lecturers: Lars Robben

Content:

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

Competences:

Understanding of statistical and data evaluation techniques.

Assessment:

Written exam

Exam Form:

Klausur

Literature:

Will be anounced in the lecture.

Contents:

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


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Basic Data
VAK-Number

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

German and English


Contact Person
­

Fachbereich 02: Biologie/Chemie

Dr. Lars Robben

NW2 C3051R

Phone: +49 421 218 - 63141

lrobben@uni-bremen.de

Fachbereich 02: Biologie/Chemie

Dr. Lars Robben

NW2 C3051R

Phone: +49 421 218 - 63141

lrobben@uni-bremen.de
Lecturer
­

Fachbereich 02: Biologie/Chemie

Dr. Lars Robben

NW2 C3051R

Phone: +49 421 218 - 63141

lrobben@uni-bremen.de

Fachbereich 02: Biologie/Chemie

Dr. Lars Robben

NW2 C3051R

Phone: +49 421 218 - 63141

lrobben@uni-bremen.de
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