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).

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Course
Linear Algebra & Geometry II [2/2] (OCW)
In this OCW course the lecture Linear Algebra and Geometry II held in SoSe 2017 is presented in structure, construction and sequence. This lecture is one of the four basic lectures that are obligatory for all students of mathematics in their first year of study.

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self-study course in Moodle
DigStat - Digital learning units in statistics
The DigStat course contains digital learning units on topics that are central components of all basic statistics courses. The target group includes students of mathematics and statistics as well as students of engineering, economics, pharmacy and medicine.
The learning units consist of structured lessons with digital tasks.