pb379 - Data Science with Python (Complete module description)

pb379 - Data Science with Python (Complete module description)

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Module label Data Science with Python
Modulkürzel pb379
Credit points 6.0 KP
Workload 180 h
Institute directory Institute for Biology and Environmental Sciences
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Zuständige Personen
  • Winklhofer, Michael (module responsibility)
Prerequisites
Stud.IP Registration
Skills to be acquired in this module
In-depth understanding of programming concepts in python
Ability to write effective scripts for data analysis
Application of machine learning for predictive modelling and efficient processing of big data
Understanding of concepts of numerical mathematics,
Application of python to computer simulation of physical problems
Module contents
Programming concepts in python; scientific modules numpy, scipy etc
Machine learning: Regression, decision trees, random forests, neuronal networks
Analysis of time series data and noise models
Elements of numerical mathematics, numerical solution of differential equations
Literaturempfehlungen
J.Grus, Data Science from Scratch – First principles with python. (O’Reilly) A.Geron, Hands on Machine Learning with scikit-learn and tensor flow (O’Reilly) A. Scopatz & K.D. Huff, Effective Computation in Physics – Field guide to research with Python (O’Reilly)
Links
http://scipy-lectures.org/intro/index.html
Language of instruction English
Duration (semesters) 1 Semester
Module frequency annually
Module capacity 30
Type of module Ergänzung/Professionalisierung
Module level PB (Professionalisierungsbereich / Professionalization)
Teaching/Learning method Lectures and supervised exercises
Previous knowledge Basic knowledge in mathematics (e.g., algebra, analysis) and physics
Form of instruction Comment SWS Frequency Workload of compulsory attendance
Lecture 4 WiSe 56
Exercises 3 WiSe 42
Präsenzzeit Modul insgesamt 98 h
Examination Prüfungszeiten Type of examination
Final exam of module
Nach Ankündigung
Programming assignments / Fachpraktische Übungen (max. 12 Programmieraufgaben)