Special Topics of Scientific Computing
Spezielle Kapitel des Wissenschaftlichen Rechnens
8 CPirregularlyEN
Contents
The module is offered with changing main focuses. Topics covered can be, for example: • Mathematical foundations of deep learning • Current methods for the discretization of partial differential equations • Mathematical foundations in image processing
Learning outcomes
After successfully completing the module, students have in-depth knowledge of structures and algorithms in numerical mathematics. They are able to understand, analyze and apply essential algorithms in numerical mathematics. In addition, they have the skill of structural thinking, abstraction and modeling.
Assessment
• Oral examination 30-45 min.
Literature (1)
- Depending on the specific focus specific references will be provided at the first meeting of the course.
Remarks
• Study programme Mathematics M. Sc.: Compulsory elective module in the complex „Numerics“ • Study programme Mathematik B. Sc.: Compulsory elective module in the complex "Vertiefung" (to a limited extend). • Study programme Wirtschaftsmathematik B. Sc.: Compulsory elective module in the complex "Vertiefung" (to a limited extend).
Source: BTU's module description · retrieved 29 Sep 2026Original