20-00-1191

Explainable Artificial Intelligence for Computer Vision

FB20 Computer Science · Offered in SoSe 2026, SoSe 2025

Grade distribution

Average of averages

2.88

Every semester counts equally, whatever its size.

Pooled average

2.98

Weighted by cohort size — what an arbitrary student across all semesters scored.

Pass rate

74%

Share of results at 4.0 or better. 4.0 is the last passing grade.

Semesters with data

2

The German scale runs 1.0 (best) to 4.0 (last pass), with 5.0 as fail. There is no 4.3.

By semester

SoSe 2025

∅ 3.22857 results32% failedEntered by a maintainer

4(7.0%)

1,0

4(7.0%)

1,3

3(5.3%)

1,7

5(8.8%)

2,0

4(7.0%)

2,3

5(8.8%)

2,7

7(12.3%)

3,0

2(3.5%)

3,3

2(3.5%)

3,7

3(5.3%)

4,0

18(31.6%)

5,0

Missing (medical excuse): 5Missing (no reason): 2Reported Aug 31, 2026

SoSe 2024

∅ 2.53832 results16% failedEntered by a maintainer

8(25.0%)

1,0

2(6.3%)

1,3

2(6.3%)

1,7

1(3.1%)

2,0

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Weekly sessions

Mon15:20–17:00S202/C110 · Vorlesung

Parts

20-00-1191-vlLecture2 contact h/week

Language: Englisch
Taught by: Prof. Dr. Simone Schaub-Meyer

Course content

- Ziele und Herausforderungen von Erklärbarkeit in Computer Vision - Interpretierbarkeit von klassischen Modellen des maschinellen Lernens - Globale vs. lokale Erklärungen - Nachträglich Erklärungen - Intrinsisch erklärbare neuronale Netzwerke - Evaluierung von Erklärungen - Visualisierungstechniken von Erklärungen - Anwendungsfelder - XAI außerhalb von Klassifizierung

Exam dates

2026-08-26 · 10:00–12:30 · Examenprovisional

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4(12.5%)

2,3

2(6.3%)

2,7

4(12.5%)

3,0

3(9.4%)

3,3

1(3.1%)

3,7

0(0.0%)

4,0

5(15.6%)

5,0

Missing (medical excuse): 1Missing (no reason): 2Reported Aug 31, 2026

Times, rooms and details come from TUCaN and may be out of date. Report something wrong