xAI - Master- und Doktorandenseminar [xAI-MDSem]

Dozentinnen/Dozenten:

Christian Ledig, Sebastian Dörrich

Angaben:

[S], 2 SWS

Termine:

Do, 15:00 - 17:00, Online-Meeting

Voraussetzungen / Organisatorisches:

zur Voranmeldung und bei Interesse bitte email an christian.ledig@uni-bamberg.de.
Zielgruppe: Studierende im Master mit laufenden oder Interesse an zukünftigen Masterarbeiten am Lehrstuhl. Studierende mit generellem Interesse an aktuellen Forschungsfortschritten.

xAI-DL-M: Deep Learning

Dozent/in:

Christian Ledig

Angaben:

[V], 2,00 SWS, ECTS: 6

Termine:

Di, 10:00 - 12:00, WE5/00.022

Voraussetzungen / Organisatorisches:

BSc KI&DS, MSc AI, MSc WI, MSc CitH, MSc ISoSySc
Sign up & Details: VC Course

xAI-DL-M: Deep Learning, Gruppe 1

Dozentinnen/Dozenten:

Sebastian Dörrich, Christian Ledig

Angaben:

[Ü], 2,00 SWS

Termine:

Mi, 10:00 - 12:00, WE5/04.003

xAI-DL-M: Deep Learning, Gruppe 2

Dozent/in:

Sebastian Dörrich

Angaben:

[Ü], 2,00 SWS

Termine:

Do, 8:00 - 10:00, WE5/04.003

xAI-DL-M: Deep Learning, Gruppe 3

Dozent/in:

Jonas Alle

Angaben:

[Ü], 2,00 SWS

Termine:

Do, 12:00 - 14:00, WE5/04.003

xAI-MML-M: General Exercises / Exam Preparation

Dozent/in:

Francesco Di Salvo

Angaben:

[Ü]

Termine:

Mi, 12:00 - 14:00, WE5/04.003

xAI-Proj-B: Bachelorprojekt Erklärbares Maschinelles Lernen

Dozentinnen/Dozenten:

Jonas Alle, Christian Ledig

Angaben:

[PJS], 4,00 SWS, ECTS: 6

Termine:

Do, 14:00 - 18:00, WE5/04.003

Voraussetzungen / Organisatorisches:

Interest and registration
Registration via central registration or email to jonas.alle@uni-bamberg.de with matriculation number, degree program, and completed ML-related modules before October 18, 2024.

Eligibility
B.Sc. KI & Data Science, B.Sc. AI, [B.Sc. WI (only after prior consultation with the examination office), M.Sc. ISoSySc (only possible with Learning Agreement)]

Requirements
None

VC-Course: https://vc.uni-bamberg.de/course/view.php?id=70918

Beneficiaries
Critical thinking, Knowledge in programming (Python), Hands-on knowledge in machine learning, scientific writing, LaTeX

xAI-Proj-M: Masterprojekt Erklärbares Maschinelles Lernen

Dozentinnen/Dozenten:

Francesco Di Salvo, Christian Ledig

Angaben:

[PJS], 4,00 SWS, ECTS: 6

Termine:

Mi, 14:00 - 18:00, WE5/05.005

Voraussetzungen / Organisatorisches:

Interest and registration
Registration via central registration or email to francesco.di-salvo@uni-bamberg.de with matriculation number, degree program, and completed ML-related modules before October 18, 2024.

Eligibility
M.Sc. AI, M.Sc. CitH, M.Sc. WI

Requirements
Successfully passed the exam xAI-DL-M, xAI-MML-M, KogSys-ML-M or AI-KI-B (Introduction to AI)

VC-Course: https://vc.uni-bamberg.de/course/view.php?id=70916

Beneficiaries
Critical thinking, hands-on knowledge in machine learning and deep learning, fundamental aspects of medical imaging or healthcare technology, scientific writing and presenting, LaTeX.

xAI-Sem-B1: Bachelorseminar Erklärbares Maschinelles Lernen

Dozentinnen/Dozenten:

Sebastian Dörrich, Christian Ledig

Angaben:

[S], 2,00 SWS, ECTS: 3

Termine:

Mo, 16:00 - 18:00, WE5/05.005

Voraussetzungen / Organisatorisches:

Interest and registration
Registration via central registration or email to sebastian.doerrich@uni-bamberg.de with matriculation number, degree program, completed ML-related modules before 18.10.2024.

Eligibility
B.Sc. KI & Data Science, B.Sc. AI, B.Sc. ISoSySc, (B.Sc. WI only after prior consultation with the examination office), (potentially also as MSc CitH course)

Requirements
None

VC-Course: https://vc.uni-bamberg.de/course/view.php?id=70919

Beneficiaries
Critical thinking, hands-on knowledge in machine learning and deep learning, fundamental aspects of medical imaging or healthcare technology, scientific writing and presenting, LaTeX

xAI-Sem-M1: Masterseminar Erklärbares Maschinelles Lernen

Dozent/in:

Christian Ledig

Angaben:

[S], 2,00 SWS, ECTS: 3

Termine:

Mo, 14:00 - 16:00, WE5/05.005

Voraussetzungen / Organisatorisches:

Eligible Coures
MSc AI, MSc IRD, MSc WI, MSc CitH, MSc ISoSySc

Interest and registration
Registration via central registration or Email with name, matriculation number, degree program and completed ML-related modules to christian.ledig@uni-bamberg.de before 18.10.

Requirements:
Recommended to have passed an exam such xAI-DL-M, xAI-MML-M, KogSys-ML-M or AI-KI-B (Introduction to AI)