Explainable Artificial Intelligence

Course ID: WFAIS.IF-XG325.0
Room: G-1-08
Teachers:
- Lectures: dr inż. Szymon Bobek (SBK)
- Labs:
  - Mondays dr inż. Szymon Bobek (SBK)
  - Wednesdays Sabri Manai, PhD Candidate (SMI)

Lectures

[13.10.2025] [SBK] Introduction to working environment, basics of data manipulation and visualization and bias identification
[20.10.2025] [SBK] Inherently interpretable models
[27.10.2025] [SBK] Inherently interpretable models II
[03.11.2025] [SBK] Global model-agnostic approaches I
[17.11.2025] [SBK] Local model-agnostic approaches I
[24.11.2025] [SBK] Local model-agnostic approaches II
[01.12.2025] Test I
[01.12.2025] [SBK] Programming Assignment I
[08.12.2025] [SBK] Counterfactual explanations
[15.12.2025] [MTM] Evaluation of XAI methods
[12.01.2026] [BMK] Explainability in DNN
[19.01.2026] [SBK] Programming Assignment II
[26.01.2025] Test II
[26.01.2025] [SBK] Projects presentations/discussion

[15.10.2025] [SMI] Introduction to working environment, basics of data manipulation and visualization and bias identification
[22.10.2025] [SMI] Inherently interpretable models
[29.10.2025] [SMI] Inherently interpretable models II
[05.11.2025] [SMI] Global model-agnostic approaches I
[12.11.2025] [SMI] Local model-agnostic approaches I
[19.11.2025] [SMI] Local model-agnostic approaches II
[26.11.2025] Test I
[26.11.2025] [SMI] Programming Assignment I
[03.12.2025] [SMI] Counterfactual explanations
[10.12.2025] [SMI] Evaluation of XAI methods
[17.12.2025] [SMI] Explainability in DNN
[14.01.2026] [SMI] Programming Assignment II
[21.01.2026] Test II
[21.01.2026] [SMI] Projects presentations/discussion

100 EXP is 100% of the total points (MAX) from the lab. This consists of:
- 2×25 EXP - two tests, covering material from the laboratories and lecture
- 2×25 EXP - two assignments carried out in groups (2-5 people) during the laboratory

The above result may be increased by any “pluses” for activity during classes (1 plus = 1 EXP) and extra programming assignments rated individually (3-5 EXP)
- Advantages are taken into account only when passing the exam within the basic deadline.
All laboratory projects must be submitted on time.
- The mark for late projects will be multiplied by 0.5 (i.e. a maximum of half the number of points can be obtained for a late project).
- You must obtain at least 60% of points in all tests.
- Two unexcused absences are allowed.
- Each subsequent absence results in a deduction of 10 EXP.