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courses:xai:start [2024/01/31 07:03] – [Lectures] admincourses:xai:start [2025/02/11 12:21] (current) – [Lectures] admin
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 ====== Lectures ====== ====== Lectures ======
-  * **[09.10.2023]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence.pdf |Introduction to xAI}} +  * **[07.10.2024]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} 
-  * **[16.10.2023]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} +  * **[14.10.2024]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} 
-  * **[30.10.2023]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} +  * **[21.10.2024]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} 
-  * **[06.11.2023]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} +  * **[28.10.2024]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} 
-  * **[13.11.2023]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} +  * **[4.11.2024]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} 
-  * **[20.11.2023]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} +  * **[18.11.2024]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} 
-  * **[04.12.2023]** [SBK] Hands-on programming assignments +  * **[25.11.2024]** [SBK] Hands-on programming assignments 
-  * **[11.12.2023]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} +  * **[2.12.2024]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} 
-  * **[18.12.2023]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} +  * **[9.12.2024]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} 
-  * **[08.01.2024]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} +  * **[16.12.2024]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} 
-  * **[15.01.2024]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} +  * **[13.01.2025]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} 
-  * **[22.01.2024]** [SBK] Hands-on programming assignments +  * **[20.01.2025]** [SBK] Hands-on programming assignments 
 +  * **[27.01.2025]** [SBK] Projects presentations/discussion 
 +  * **[07.02.2025]** :!: **Exam: room G-1-05 @ 10:00-12:00** :!: 
 +  * **[21.02.2025]** :!: **Exam 2nd term: room G-1-05 @ 10:00-12:00** :!:
 ====== Labs ====== ====== Labs ======
-  * **[09.10.2023]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] +  * **[07.10.2023]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] 
-  * **[16.10.2023]** [SBK] [[.:lab2|Inherently interpretable models]] +  * **[14.10.2023]** [SBK] [[.:lab2|Inherently interpretable models]] 
-  * **[30.10.2023]** [SBK] [[.:lab3|Inherently interpretable models II]] +  * **[21.10.2023]** [SBK] [[.:lab3|Inherently interpretable models II]] 
-  * **[06.11.2023]** [SBK] [[.:lab4|Global model-agnostic approaches I]] +  * **[28.10.2023]** [SBK] [[.:lab4|Global model-agnostic approaches I]] 
-  * **[13.11.2023]** [SBK] [[.:lab5|Local model-agnostic approaches I]] +  * **[04.11.2023]** [SBK] [[.:lab5|Local model-agnostic approaches I]] 
-  * **[20.11.2023]** [SBK] [[.:lab6|Local model-agnostic approaches II]] +  * **[18.11.2023]** [SBK] [[.:lab6|Local model-agnostic approaches II]] 
-  * Test I +  * **[25.11.2023]** Test 
-  * **[27.11.2023]** [SBK] [[.:p1|Programming Assignment I]] +  * **[25.11.2023]** [SBK] [[.:p1_2024|Programming Assignment I]] 
-  * **[04.12.2023]** [SBK] [[.:p1|Programming Assignment I]] +  * **[02.12.2023]** [SBK] [[.:lab7|Counterfactual explanations]] 
-  * **[11.12.2023]** [SBK] [[.:lab7|Counterfactual explanations]] +  * **[09.12.2023]** [MTM] [[.:lab8|Evaluation of XAI methods]] 
-  * **[18.12.2023]** [MTM] [[.:lab8|Evaluation of XAI methods]] +  * **[16.12.2024]** [BMK] [[.:lab9|Explainability in DNN]] 
-  * **[08.01.2024]** [BMK] [[.:lab9|Explainability in DNN]] +  * **[13.01.2024]** [SBK] [[.:p2_2024|Programming Assignment II]] 
-  * **[15.01.2024]** [SBK] [[.:p2|Programming Assignment II]] +  * **[20.01.2024]** Test II 
-  * **[22.01.2024]** Test II+  * **[27.01.2025]** [SBK] Projects presentations/discussion
 ====== Grading rules ====== ====== Grading rules ======
   * 100 EXP is 100% of the total points (MAX) from the lab. This consists of:   * 100 EXP is 100% of the total points (MAX) from the lab. This consists of:
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 ====== References ====== ====== References ======
   * [[https://christophm.github.io/interpretable-ml-book/|Interpretable Machine Learning]]   * [[https://christophm.github.io/interpretable-ml-book/|Interpretable Machine Learning]]
-  * [[https://wiki.iis.uj.edu.pl/lux/|LUX Survey]]+
  
  
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