The upcoming Summer School and Workshop is organized in cooperation with the BMBF funded AI junior research group SALE. The Chemnitz summer school has been a tradition since 2006 and will be held again this year after a 4-year break. Five invited distinguished researchers from mathematical fields including functional analysis, approximation theory, numerical analysis and machine learning will each give two lectures during the morning sessions. In the afternoon, participants are invited to give contributed talks about their current research. In addition to the lectures and talks, there will be enough time for discussions and networking. There is no registration fee, but the number of participants is limited.
Accommodation is not provided, but we have blocked a number of rooms (until end of April) at the Hotel an der Oper with a discounted rate. This rate is only valid for booking via phone (+49.(0) 371 / 68 10) or email (info@hoteloper-chemnitz.de) but not via the online booking system. Please use the keyword Summer School on Applied Analysis for the registration. Furthermore a list of nearby hotels can be found here.
Date |
September 18-22 (Mon-Fri) approximately from Monday 9:15 a.m. to Friday 1:00 p.m. |
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Location |
We will hold the 2023 Workshop and Summer Scool on Applied Analysis in-person on the TU Chemnitz campus in the new and beautifully
renovated University Library Building located close to the downtown area and the railway station.
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Scientific topics |
The courses of the summer school focus on different aspects of Applied Analysis.
They are meant for training of graduate students, Ph.D. students and young post-doc researchers.
The Summer School is organized in cooperation with the Junior Research Group SALE. | ||||
Schedule | The program is available: Schedule | ||||
Invited speakers |
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Contributed talks or posters | Participants have the opportunity to give a talk or present posters with their own research. | ||||
Important dates | Deadlines
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Registration fee | none. | ||||
Organisers |
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Contact | cms2023@math.tu-chemnitz.de |