Industry-Oriented Numerical Mathematics and Optimization
TU Chemnitz | Sommersemester 2026
Industry-Oriented Numerical Mathematics and Optimization (Summer 26)
This course is designed to support students in developing the knowledge and skills relevant for the examinations Optimization and Applications (formerly Optimization for Non-Mathematicians), and Numerische Mathematik.
Industry-Oriented Numerical Mathematics and Optimization: A Differentiated Teaching Model for Heterogeneous Target Groups
| Lecture: | Prof. Dr. Fleurianne Bertrand |
| Tutorial: | Tugay Dağlı |
For any questions, please contact the lecturer or the tutor via email.
| Times (reserved slots): |
|
Tuesday, 15:30 - 17:00, C24.301 (alt: 2/D301) |
|
Wednesday, 7:30 - 9:00, C25.015 (alt: 2/W015) |
| Wednesday, 13:45 - 15:15, C10.105 (alt: 2/N105) |
| Thursday, 7:30 - 9:00, C22.202 (alt: 2/B202) |
For External Participants (without a university login)
Step 1 – Create a free OPAL account:
- Go to opal.sachsen.de and click "Don't belong to one of the listed universities?" (below the login button).
- Click "Register", enter your email address, and follow the confirmation link sent to your inbox.
- Fill in the required fields and select "TU Chemnitz" as your institution.
- Accept the terms of use — your account is ready!
On future logins, always use "Don't belong to one of the listed universities?" and enter your credentials there.
Step 2 – Enroll in the correct group:
Once you are on the course page, scroll down to the "Groups" section and enroll yourself in "Externe Teilnehmende / External Participants". This ensures you get the right materials and learning path for your group.
This course follows a hybrid teaching model combining in-person sessions with learning videos and structured self-study. The scheduled times are reserved for discussion, guidance, and group work, but are not mandatory and do not reflect the total workload.
Participants work in different groups (university students, high school students, and external participants), with varying levels of theoretical depth and engagement.
This course is designed to support students in developing the knowledge and skills relevant for the examinations Optimization and Applications (formerly Optimization for Non-Mathematicians), and Numerische Mathematik.
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Lade Übersicht