Basics in Applied Mathematics
Prof. Dr. Sören Bartels, Prof. Dr. Moritz Diehl and Prof. Dr. Thorsten Schmidt
Assistence: Dr. Alen Kushova, Simone Pavarana, Janis Ritter, Leo Simpson
Date: Tue, Thur 8-10, SR 404, Ernst-Zermelo Str. 1
Tutorial: Thur, 10-12, HS II
Programing lab (optional): Wed, 16-18, CIP-POOL, Herman-Herder Str. 10
This course offers an accessible introduction to the key concepts and methods of probability and statistics, numerical analysis, and optimization. Alongside the theory, you will work on hands-on programming projects in Python to put ideas into practice. The course not only strengthens your foundations in these three areas, but also prepares you for more advanced lectures and applications in science and engineering.
Join us to explore the beauty of mathematics in action, discover how theory meets practice, and build the skills that will support your future studies and projects.
Literature:
There will be lecture notes.
Sören Bartels, Numerical Mathematics 3×9, Springer
Teaching materials for the Optimization part can be found here: Basics of Applied Mathematics – Part II on Optimization
In particular, lecture note on optimization can be fount at: Optimization Lecture Notes
C. Czado and T. Schmidt, Mathematische Statistik, Springer
Further Literature on the probability part may be found here: Stochastik I, T. Schmidt
Exercise:
The exercises for this course are available at the following link: https://github.com/alenkushova/Basics-in-Applied-Mathematics-Exercises
The programming task will be assigned at the end of the semester.
Submission of Exercises:
Exercises can be submitted either by hand or via email:
- Hand submission: Please use the letterbox located at Hermann-Herder-Straße 10, on the top floor in front of the CIP Pool.
- Email submission: Send your solutions to jannis-ritter@t-online.de
For the programming exercises, you may either
- send your
.pyor.mfiles via email, or - discuss your results on paper during the exercise session.
(For week 20 – 24 October only, submissions are also accepted until Wednesday.)
News:
We will provide links to Ilias and Hisinone soon.
Examination:
The dates for the exams will be announced later.
Requirements for coursework credit:
Submitted solutions must be presented and explained upon request.
At least 50% of the points on the exercise sheets must be achieved in each of the three part (numerics, stochastics and optmization), together with a successful exam and completion of the programming task.