Teaching SoSe25
- Mathematics 4
(Module Probability Theory and Partial Differential Equations (ET/IST/MT/RES/BMT))
Contents of the lecture
Probability theory (models, distributions, estimators) and partial differential equations (solution, methods, numerics).
Website of the course. -
COMP for Teacher Training - Middle Schools
(Module MN-SEGY-MAT-COMP)
The lecture takes place in flipped classroom style. This means that you will receive weekly lecture notes for the lecture, which you will work through yourself. At the time of the lecture, on Mondays between 13:00 and 14:30 in Z21/217, we will discuss the material by working together on questions about the material. This will only work if you have prepared for it.We will use Matlab-Online as our programming environment. This runs in any browser, you do not need to install anything else, just register for free on this page with your TU Dresden email address (you can then download Matlab on the next page, but you do not have to). You can also use the Matlab tutorials. Two of them are covered in the first two exercises.
All documents and further information can be found in the corresponding OPAL course.
Lecture:
Monday, 13:00 - 14:30 (4.DS), Z21/217
Exercises:
Wednesday, 07:30 - 9:00 (1.DS), Z21/217 - Proseminar teaching profession
(Module MN-SEGY-Mat-PROSEM, MN-SEBS-Mat-PROSEMB)
Seminar: Monday, 16:40-18:10 (6th DS), Z21/380
Content of the seminar
Mathematical journey with two books by Havil
On the basis of two books by the author Julian Havil we will travel through different mathematical areas with some surprising connections. - Seminar WL10 for Bachelor Mathematics
Seminar: Thursday, 13:00-14:30 (4th DS), Z21/242
Content of the seminar
Convergence acceleration of sequences and series
Convergence criteria for sequences (and series) are a topic of analysis. This can be used to clarify whether a given sequence converges or not. However, convergent sequences do not all reach their limit value equally quickly. If you want to approximate this limit numerically, a rapidly converging sequence is better, as fewer sequence elements are required to obtain a good approximation of the limit.
In this seminar, you will learn about different methods that can accelerate the convergence of a sequence.