Semester overview
Vorlesung Scientific Computing (130320)
Appointments
- Mi 09:15 - 10:45, A/B week, 18.10.2023 to 07.02.2024, Hauptgebäude / HG 2.44
- Fr 09:15 - 10:45, A/B week, 20.10.2023 to 09.02.2024, Hauptgebäude / HG 0.20
Study paths
- Mathematik (5. ) / Examination regulations 2023
- Angewandte Mathematik Master (1. - 4. )
- Mathematik Bachelor (5. )
- Wirtschaftsmathematik Bachelor (5. )
- Physics Master (1. - 4. ) / Examination regulations 2021
- Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
- Wirtschaftsmathematik (5. ) / Examination regulations 2023
Course content
Please refer to the module description for course content.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Hours per week
4.0
Module
Scientific Computing (13843)
Übung/Praktikum Scientific Computing (130321)
Appointment
Fr 11:30 - 13:00, A/B week, 20.10.2023 to 09.02.2024, Hauptgebäude / HG 3.35, Pool HG3.35
Study paths
- Mathematik (5. ) / Examination regulations 2023
- Angewandte Mathematik Master (1. - 4. )
- Mathematik Bachelor (5. )
- Wirtschaftsmathematik Bachelor (5. )
- Physics Master (1. - 4. ) / Examination regulations 2021
- Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
- Wirtschaftsmathematik (5. ) / Examination regulations 2023
Course content
Please refer to the module description for course content.
Vorlesung Introduction to Mathematical Methods in Artificial Intelligence (130330)
Appointment
Mo 15:30 - 17:00, A/B week, 16.10.2023 to 05.02.2024, Zentrales Hörsaalgebäude / HS C
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Hours per week
2.0
Module
Introduction to Mathematical Methods in Artificial Intelligence (14015)
Übung Introduction to Mathematical Methods in Artificial Intelligence (130331)
Appointments
- Fr 15:30 - 17:00, A/B week, 20.10.2023 to 09.02.2024, Zentrales Hörsaalgebäude / Audimax 2
- Fr 15:30 - 17:00, Einzel, at 17.11.2023, Großer Hörsaal / GH, Ausweichraum am 17.11.2023 (statt ZHG AM 2).
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Alexander Köhler
Hours per week
2.0
Module
Introduction to Mathematical Methods in Artificial Intelligence (14015)
Prüfung Introduction to Mathematical Methods in Artificial Intelligence (130332)
Appointment
Mi 11:00 - 13:00, Einzel, at 28.02.2024, Zentrales Hörsaalgebäude / Audimax 1
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Module
Introduction to Mathematical Methods in Artificial Intelligence (14015)
Seminar Numerik-Seminar (130340)
Study paths
- Mathematik Bachelor (5. )
- Wirtschaftsmathematik Bachelor (5. )
- Angewandte Mathematik Master (1. - 4. )
- Mathematik (5. ) / Examination regulations 2023
- Wirtschaftsmathematik (5. ) / Examination regulations 2023
Course content
nach Vereinbarung
Contact
- Prof. Dr. rer. nat. habil. Michael Breuß
- Prof. Dr.-Ing. Michael Oevermann
Hours per week
2.0
Modules
Seminar AG Seminar (130341)
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Hours per week
2.0
Seminar Research Topics in Artificial Intelligence and Computer Vision (130350)
Appointment
Mo 09:15 - 10:45, A/B week, 16.10.2023 to 05.02.2024, Hauptgebäude / HG 0.19
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
This research module focuses on methods in computer vision as well as
in methods related to that field. The methods are from artificial
intelligence as well as from classic and recent approaches in that field.
In addition, related techniques in data analysis and pattern recognition are a subject.
From the application point of view, topics may include object detection, tracking,
optical flow and segmentation. Examples from the area of related techniques may
include methods from explainable artificial intelligence or anomaly detection.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Hours per week
2.0
Module
Research Module in Artificial Intelligence (14060)
Seminar Research Topics in High Dimensional Statistics (130351)
Appointment
Di 13:00 - 13:45, Einzel, at 24.10.2023
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
This research module focuses on methods and theories directly related to high dimensional statistics. This includes but
is not limited to topics such as least squares methods, principal component analysis and their statistical interpretation,
Markov chains and Markov fields, or efficient algorithms in the field. The aim of this module is to consider mainly the
theoretical background, but also some applications may be discussed.
Contact
- Prof. Dr. rer. nat. habil. Michael Breuß
- Prof. Dr. rer. nat. Carsten Hartmann
Hours per week
2.0
Module
Research Module in Artificial Intelligence (14060)
Prüfung Funktionentheorie u. partielle Differentialgleichungen (Höhere Mathematik T4) - Wiederholung (130390)
Appointment
Mo 11:00 - 13:00, Einzel, at 18.03.2024, Hauptgebäude / HG 2.44
Study paths
- Elektrotechnik Bachelor (4. )
- Elektrotechnik Master (1. - 4. )
- Maschinenbau Master (1. - 4. )
- Maschinenbau Bachelor (4. )
- Energietechnik und Energiewirtschaft EET (4. ) / Examination regulations 2021
Course content
Funktionentheorie: Analytische Funktionen, konforme Abbildungen, Integration im Komplexen, Cauchysche Integralformel, Taylor- und Laurentreihen, Residuen, Laplacetransformation. Einführung zu partiellen Differentialgleichungen und ihre Lösung mit Separationsansätzen und Fourier-Reihen bzw. Fourier-Integralen.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Module
Funktionentheorie und partielle Differentialgleichungen (11414)
Prüfung Mathematische Grundlagen des Deep Learning (130396)
Appointment
So 01:00 - 02:30, Einzel, at 27.12.2015, mündliche Prüfungen
Study path
Angewandte Mathematik Master (1. - 4. )
Course content
Please refer to the module description for course content.
Prüfung Differential Geometry / Differentialgeometrie (Wiederholung) (130397)
Appointment
Do 11:00 - 13:00, Einzel, at 18.04.2024, Zentrales Hörsaalgebäude / HS C
Study paths
- Mathematik (6. ) / Examination regulations 2023
- Wirtschaftsmathematik (6. ) / Examination regulations 2023
- Mathematik Bachelor (6. )
- Wirtschaftsmathematik Bachelor (6. )
- Angewandte Mathematik Master (1. - 4. )
- Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Prof. Dr. rer. nat. habil. Michael Breuß
Module
Differential Geometry (13949)