Dear Master Students,
This term, we again offer the "Smart Energy System Lab" (SESL) course at the
Energy Lab. This course (6 ETCS, 4 SWS) provides you with the possibility to
work together with researchers on current topics from the cross section of
energy, computer science and electrical engineering.
It is a rather concentrated format (Blockveranstaltung) with an experimental
presence phase from 2.6. until 20.6. during which the 4 SWS equivalent
(min.42h) of presence on site is required. Working around other lectures
should be possible.
For further information, the list of available topics and the registration,
please check out:
https://plus.campus.kit.edu/signmeup/procedures/3842
Registration is open NOW until 2nd of May.
With kind regards,
Richard Jumar
In the upcoming Summer Semester, Research Group Discrete Mathematics (Institute of Algebra and Geometry) gives two courses that might be of interest to you:
1) Modern Methods in Combinatorics
2) Research Seminar AG Discrete Mathematics
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1) Modern Methods in Combinatorics
Ilias: 0100018; Credits: 6; Teachers: Arsenii Sagdeev (lectures) and Dingyuan Liu (problem classes)
This year, the course is dedicated to two methods playing a crucial role in modern Combinatorics. The first half is dedicated to the Probabilistic Method. We will see how to apply the linearity of expectation, alterations, the second moment, the Lovász local lemma, and correlation inequalities in various contexts. The second half is dedicated to the Algebraic Methods. We will discuss how finite fields, dimension arguments, matrix eigenvalues, and even tensors can often help to solve seemingly unrelated combinatorial problems.
The classes are weekly on Tuesday and Wednesdays starting from:
Tuesday, April 22, 08:00 - 09:30, gb. 20.30, SR 3.068
Wednesday, April 23, 14:00 - 15:30, gb. 20.30, SR 2.058
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2) Research Seminar AG Discrete Mathematics
This is a weekly seminar of the Discrete Mathematics group at KIT. Every week a student, a group member, or a guest gives a talk on something they are currently working on or just likes to report about. Please feel free to let your friends and colleagues know about the seminar.
Time: Thursday, 14:00-15:30 (starting from April 24)
Location: gb. 20.30, SR 2.058
The talks are announced through the mailing list. Contact arsenii.sagdeev(a)kit.edu if you would like to subscribe.
The new webpage is under construction and the link will appear later at https://www.math.kit.edu/iag6/
For the archive of previous talks, see https://www.math.kit.edu/iag6/edu/agdiscrmath2024w/
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Best wishes,
Arsenii Sagdeev
Dear informatics students at KIT,
I would like to draw your attention to the lecture "Machine Learning for Natural Sciences" which we will offer in the coming summer semester.
The lecture course will include an introduction to a wide range of machine learning methods and their fundamental principles, followed by a series of lectures dedicated to selected applications of machine learning methods in natural sciences, with a focus on chemistry and materials science, but also examples from physics, biology, and medicine.
We welcome everyone who is interested in machine learning methods applied to research questions in natural sciences, specifically Master's students with backgrounds in informatics, physics, or other natural sciences, as well as interested Ph.D. students and postdocs.
There will be in-person lectures (Tuesday, 11:30-13:00, building 50.34, room -101) and tutorials (Friday,
9:45-11:15, building 50.34, room 236). All further information is available on Ilias (https://ilias.studium.kit.edu/goto.php/crs/2623146), where exercises and lecture slides are uploaded on Tuesday every week.
Important: There will be no lecture in the first week of the semester, so the first lecture will be on Tuesday, April 29, 11:30 - 13:00. There will be a non-graded exercise sheet in the first week, though. More information is available on Ilias.
We are looking forward to seeing you in our lecture!
Best regards,
Pascal Friederich and the AiMat group
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T.T.-Prof. Dr. Pascal Friederich
Artificial Intelligence for Materials Science
Department of Informatics & Institute of Nanotechnology
Karlsruhe Institute of Technology
https://aimat.science
pascal.friederich(a)kit.edu
Phone +49 721 608 44764
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Liebe Studierende, dear students,
the new semester is about to start and, as usual, I want to inform you
about the courses that the "Artificial Intelligence & Security"
research group is offering 😎
## Seminar "Hot Topics in Explainable AI" (HOT-XAI)
Start: Tuesday, April 22nd
https://intellisec.de/teaching/hot-xai/
## Practical Course AISEC-Lab
Start: Tuesday, April 22nd
https://intellisec.de/teaching/aiseclab/
## Practical Course "Application Security" (APPSEC)
(with KASTEL-Crypto)
Start: Thursday, April 24th
https://intellisec.de/teaching/appsec/
## Practical Course "Real-world Vulnerability Discovery and Exploits"
Start: Thursday, April 24th
https://intellisec.de/teaching/exploits/
Best regards and see you soon
Christian Wressnegger.
--
TT.-Prof. Dr. Christian Wressnegger
Karlsruhe Institute of Technology (KIT)
Institute of Information Security and Dependability (KASTEL)
Artificial Intelligence & Security
https://intellisec.de/chris