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[ 551STSOSIMU14 ] PR Statistical Simulations
Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Bachelor's programme Statistics and Data Science 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS B2 - Bachelor's programme 2. year Statistics Bettina Grün 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)keine
Original study plan Bachelor's programme Statistics 2018W
Objectives Advanced use and extension of the statistical software environment R as well as basic knowledge of other software packages (Mathematica, Python as well as LaTeX).
Subject Different aspects of the language S and its dialect R, object-oriented progamming, packages, advanced graphics; design and evaluation of statistical simulations; introduction to other software packages (Mathematica, Python) and into literate programming (including the use of LaTeX and Markdown)
Criteria for evaluation Home work assignments and written project report
Methods Lecture by instructor; Discussion of the homework assignments by the students; Independent programming of statistical analysis methods
Language German
Study material Ligges, U. (2009) Programmieren mit R, Springer, Berlin / Heidelberg, 3. Auflage.

McKinney, W. (2013) Python for Data Analysis. O’Reilly.

Wickham, H, Grolemund, G. (2016) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly.

Supplementary reading will be announced each semester.

Changing subject? No
Corresponding lecture (*)4MSSS2PR: PR Statistische Simulationen II (4 ECTS)
On-site course
Maximum number of participants 20
Assignment procedure Assignment according to priority