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20-00-1189 Causality for Artificial Intelligence and Machine Learning · TUPlan

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20-00-1189

Causality for Artificial Intelligence and Machine Learning

FB20 Computer Science · Offered in WiSe 2025/26

Grade distribution

Average of averages

2.19

Every semester counts equally, whatever its size.

Pooled average

2.31

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

Pass rate

96%

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

Semesters with data

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

By semester

WiSe 2025/26

∅ 2.49170 results6% failedReported via extension

6(8.6%)

1.0: 6 results (8.6%)

1,0

8(11.4%)

1.3: 8 results (11.4%)

1,3

11(15.7%)

1.7: 11 results (15.7%)

1,7

11(15.7%)

2.0: 11 results (15.7%)

2,0

5(7.1%)

2.3: 5 results (7.1%)

2,3

2(2.9%)

2.7: 2 results (2.9%)

2,7

9(12.9%)

3.0: 9 results (12.9%)

3,0

2(2.9%)

3.3: 2 results (2.9%)

3,3

4(5.7%)

3.7: 4 results (5.7%)

3,7

8(11.4%)

4.0: 8 results (11.4%)

4,0

4(5.7%)

5.0: 4 results (5.7%)

5,0

Missing (medical excuse): 5Missing (no reason): 12Reported Aug 30, 2026

WiSe 2023/24

∅ 1.89030 results0% failedEntered by a maintainer

9(30.0%)

1.0: 9 results (30.0%)

1,0

2(6.7%)

1.3: 2 results (6.7%)

1,3

5(16.7%)

1.7: 5 results (16.7%)

1,7

4(13.3%)

2.0: 4 results (13.3%)

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Weekly sessions · WiSe 2025/26

Fri09:50–11:30S202/C120 · Vorlesung

Parts

20-00-1189-vlLecture2 contact h/week

Language: Englisch
Taught by: Prof. Dr. rer. nat. Kristian Kersting

Exam dates

No exam date published.

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2,0

5(16.7%)

2.3: 5 results (16.7%)

2,3

1(3.3%)

2.7: 1 result (3.3%)

2,7

1(3.3%)

3.0: 1 result (3.3%)

3,0

0(0.0%)

3.3: 0 results (0.0%)

3,3

2(6.7%)

3.7: 2 results (6.7%)

3,7

1(3.3%)

4.0: 1 result (3.3%)

4,0

0(0.0%)

5.0: 0 results (0.0%)

5,0

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

Is your semester missing? Open this course's grade statistics (Notenspiegel) in TUCaN with the extension installed — one click contributes the distribution anonymously.

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