Universität Wien
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270069 VU Digitalization and statistics (2025W)

3.00 ECTS (3.00 SWS), SPL 27 - Chemie
Continuous assessment of course work

Details

max. 180 participants
Language: German

Lecturers

    Classes

    Currently no class schedule is known.

    Information

    Aims, contents and method of the course

    Students know the essential basics of statistical and computer-aided evaluation and presentation of data sets as they occur in the study and everyday scientific life in chemistry. They have the practical skills to successfully evaluate measurement and experimental data. Students have basic digital skills. The contents include: Mathematical basics of statistics (mean values, standard deviation, error calculation, regression analysis, introduction to hypothesis testing); use of spreadsheet and data analysis software; creation of diagrams; basic concepts of programming in a higher programming language (variables, conditional statement, loops, lists, data input and output).

    Assessment and permitted materials

    During the exercises, students are presented with exercises that they have to complete on site. The solutions and implementations will then be checked by the exercise instructors. The exercise instructors will also ask questions about the implementation during the review. Plagiarism, attempts to deceive and copying from other participants will not be tolerated and will always be graded with 0 points. To successfully pass the course, students must achieve at least 50% of the points from all exercises. Please bring to the exercises your laptop!!!

    Minimum requirements and assessment criteria

    Exercises must be completed in order to successfully complete the course.

    Examination topics

    Excersises during the course

    Reading list

    https://docs.python.org/3/
    Google / DuckDuckGo
    Python Crash Course, 2nd Edition; ISBN: 978-1593279288

    Association in the course directory

    CH BA DIGI

    Last modified: Fr 27.06.2025 12:06