Semester overview
Vorlesung/Übung Introduction to Mathematical Methods in Artificial Intelligence (130310)
Appointments
- Mo 15:30 - 17:00, A/B week, 13.10.2025 to 02.02.2026, Zentrales Hörsaalgebäude / HS C
- Di 13:45 - 15:15, A/B week, 14.10.2025 to 03.02.2026, Zentrales Hörsaalgebäude / HS B
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Dr. rer. nat. Toni Schneidereit
Hours per week
4.0
Module
Introduction to Mathematical Methods in Artificial Intelligence (14015)
Prüfung Introduction to Mathematical Methods in Artificial Intelligence (130312)
Appointments
- Do 14:00 - 16:00, Einzel, at 26.02.2026, Zentrales Hörsaalgebäude / Audimax 1, ZHG AM 1 + AM2
- Do 14:00 - 16:00, Einzel, at 26.02.2026, Zentrales Hörsaalgebäude / Audimax 2, ZHG AM 1 + AM2
Study path
Artificial Intelligence Master (1. - 4. ) / Examination regulations 2022
Course content
Please refer to the module description for course content.
Contact
Dr. rer. nat. Toni Schneidereit
Module
Introduction to Mathematical Methods in Artificial Intelligence (14015)
Vorlesung/Übung Scientific Computing (130320)
Appointments
- Mi 09:15 - 10:45, A/B week, 15.10.2025 to 04.02.2026, Hauptgebäude / HG 3.45
- Fr 09:15 - 10:45, A/B week, 17.10.2025 to 06.02.2026, Hauptgebäude / HG 0.18
Study paths
- Mathematical Data Science Master (1. - 4. ) / Examination regulations 2025
- Mathematics Master (1. - 4. ) / Examination regulations 2025
- 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)
Vorlesung/Übung Differential Geometry / Differentialgeometrie (130330)
Appointments
- Mo 11:30 - 13:00, A/B week, 13.10.2025 to 02.02.2026, Hauptgebäude / HG 2.44
- Mi 11:30 - 13:00, A/B week, 15.10.2025 to 04.02.2026, Hauptgebäude / HG 2.44
Study paths
- Mathematical Data Science Master (1. - 4. ) / Examination regulations 2025
- Mathematics Master (1. - 4. ) / Examination regulations 2025
- 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
Hours per week
4.0
Module
Differential Geometry (13949)
Prüfung Differential Geometry / Differentialgeometrie (130332)
Appointment
Mi 11:00 - 13:00, Einzel, at 25.02.2026, Hauptgebäude / HG 2.44, mündliche Prüfung
Study paths
- Mathematical Data Science Master (1. - 4. ) / Examination regulations 2025
- Mathematics Master (1. - 4. ) / Examination regulations 2025
- 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)
Seminar Numerik-Seminar (130340)
Study paths
- Angewandte Mathematik Master (1. - 4. )
- Mathematik (5. ) / Examination regulations 2023
- Wirtschaftsmathematik (5. ) / Examination regulations 2023
Course content
nach Vereinbarung
Seminar Research Topics in Artificial Intelligence and Computer Vision (130350)
Appointment
Mo 09:15 - 10:45, A/B week, 13.10.2025 to 02.02.2026, 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
Dr. rer. nat. Toni Schneidereit
Hours per week
2.0
Module
Research Module in Artificial Intelligence (14060)
Prüfung Image Processing and Computer Vision (Wiederholung) (130390)
Appointments
- So 01:00 - 02:30, Einzel, at 27.12.2015
- So 01:00 - 02:30, Einzel, at 27.12.2015
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
Image Processing and Computer Vision (14186)
Prüfung Mathematische Grundlagen des Deep Learning (Wiederholung) (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.