Graduation Ceremony in Winter 2022
Feast with due farewell
Mathematics graduates at the ceremony in Summer 2019.
The graduation ceremony in the winter semester 2022 takes place:
on December 9, 2022, at 16:00
in the MI Friedrich L. Bauer lecture hall 00.02.001.
Please register by December 1, 2022, at Graduation Ceremony.
Program of the Graduation Ceremony
15:00 | Check-in in the Magistrale
16:00 | MI Friedrich L. Bauer lecture hall
- Music
Wonderful Life - Norah Jones - Moderation
Prof. Rudi Zagst, Academic Program Director Mathematics - Welcomeg
Prof. Michael Ulbrich, Head of Department Mathematics - Keynote speech: Why do the simplest methods often yield the best solutions?
Prof. Felix Krahmer - Presentation of the graduates and awarding of certificates: Bachelor
Dr. Kathrin Ruf - Music
Valerie - Amy Winehouse
Break
17:30 | MI Friedrich L. Bauer lecture hall
- Music
Sky Full Of Stars - Coldplay - Presentation of the Hurwitz Society: Alumni Association and Prize Foundation
Dr. Frank Hofmaier - Presentation of the graduates and awarding of certificates: Master
Prof. Gregor Kemper - Awarding "Goldener Zirkel": Teaching Awards of the Mathematics Student Council
Nouri Alexander Hilscher, Nico Friedrich - Presentation of the graduates and awarding of certificates: Promotion
Prof. Matthias Scherer - Graduates speech: Sarah Pabst
- Music
I Feel It Coming - The Weeknd
18:45 | Magistrale
Dinner together
until 21:00 | Family and group photos
until 22:00 | Bar
23:00 | End
Music and professional photos
The musicians Annika Lange (vocals) and Lola Arriola (guitar) will accompany the ceremony and create a festive mood.
All guests can have professional photos taken free of charge. The photographer is Andreas Heddergott. You will be notified by e-mail as soon as these photos are available.
Keynote speech: Why do the simplest methods often yield the best solutions?
The bias of derivatives and how it helps in modern data science
Keynote speech by Prof. Felix Krahmer
A natural way of getting down a mountain quickly is to follow the direction of the steepest slope. It was already noted by Cauchy in the 19th century that this approach directly translates into a strategy to minimize mathematical quantities, the so-called gradient descent algorithm. Even today, this strategy is behind many automatic tasks in our daily lives, for example when a streaming service recommends a movie or a smartphone enhances an image. In this talk, we will introduce you to some recent mathematical advances that give first indications on why it works so well.