Time and place
Lecture: Di, Do, 8-10h, SR 404, Ernst-Zermelo-Str. 1
Tutorial: 2 hours, date to be determined
Programming exercise: 2 hours, date to be determined
Content
This course provides an introduction into the basic concepts, notions, definitions and results in probability theory, numerics and optimization, accompanied with programming projects in Python. Besides deepen mathematical skills in principle, the course lays the foundation of further classes in these three areas.
Previous
knowledge
None that go beyond admission to the degree programme.
Usability
Basics in Applied Mathematics