self-study course in Moodle

diAM:INT (Digital application tasks for mathematics in computer science, natural sciences and technology)

About this Content OER

This unsupervised course offers digital math problems for computer science, science and engineering in higher education. It covers basic topics in linear algebra and calculus, divided into computational and comprehension tasks (STACK) and programming tasks in Python (Jupyter notebooks).

The calculation and comprehension tasks are suitable for self-study and assessments are mostly randomized, automatically evaluated and offer detailed feedback. Programming tasks can be used in courses or as a supplement to self-study; some are optimized for corrections and assessments.

The tasks are sorted by topic and are available in course sections. The calculation and comprehension tasks can be viewed in Moodle tests and the programming tasks can be tested in the browser with JupyterLite. Lecturers can find all materials and handouts as Moodle XML, Python file and PDF in the corresponding folders in the Moodle course itself.
 

Goals

This course is suitable for self-study as well as for use in courses, for example to prepare or follow up lectures or to prepare for examinations in STEM subjects, especially engineering and natural sciences, physics and computer science.

Tags and Topics

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  • Author
    Prof. Dr. Laura Anderle
    Hakim Günther
    Tim Inoue
    Sebastian Friedrich
    Zafer Bayram
    Prof. Dr. Volker Meden
    Dr. Michael Kubocz
    Kai Adamowicz
    Dr. Jörg Härterich
    Dr. Michael Kallweit
    Dr. Benjamin Schulz-Rosenberger
    Emma van der Smagt
  • Faculty
    Mathematics
  • Format
    self-study course in Moodle
  • Licence

    Der Kurs "Digitale Anwendungsaufgaben zur Mathematik in Informatik, Naturwissenschaften und Technik" (diA:MINT) wurde entwickelt von Prof. Dr. Laura Anderle, Hakim Günther, Tim Inoue, Sebastian Friedrich, Zafer Bayram (Westfälische Hochschule Gelsenkirchen, Bocholt, Recklinghausen, WH), Prof. Dr. Volker Meden, Dr. Michael Kubocz, Kai Adamowicz (Rheinisch-Westfälische Technische Hochschule Aachen, RWTH) und Dr. Jörg Härterich, Dr. Michael Kallweit, Dr. Benjamin Schulz-Rosenberger, Emma van der Smagt (Ruhr-Universität Bochum, RUB) und ist steht unter der Lizenz Creative Commons Namensnennung-Weitergabe unter gleichen Bedingungen 4.0 International (CC BY-SA 4.0). Die Lizenzbedingungen können unter https://creativecommons.org/licenses/by-sa/4.0/deed.de eingesehen werden. Die im Zusammenhang mit diesem Material verwendeten Logos sind von dieser Lizenz ausgenommen und dürfen ohne ausdrückliche Genehmigung nicht verwendet werden.

  • Date of Publication
    Mon, 03/03/2025 - 12:01 (updated on Mon, 03/03/2025 - 12:03)
  • Language of the Content
    Deutsch