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courses:xai:start [2025/10/03 06:47] – [Lectures] admincourses:xai:start [2025/11/24 09:53] (current) – [Labs (Mondays 10:00, G-1-08)] admin
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 ====== Lectures ====== ====== Lectures ======
-  * **[07.10.2024]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} +  * **[07.10.2025]** [SBK] Lecture plan, rules, organizaiton of classes 
-  * **[14.10.2024]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} +  * **[13.10.2025]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} 
-  * **[21.10.2024]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} +  * **[20.10.2025]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} 
-  * **[28.10.2024]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} +  * **[27.10.2025]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} 
-  * **[4.11.2024]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} +  * **[03.11.2025]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} 
-  * **[18.11.2024]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} +  * **[17.11.2025]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} 
-  * **[25.11.2024]** [SBK] Hands-on programming assignments +  * **[24.11.2025]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} 
-  * **[2.12.2024]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} +  * **[01.12.2025]** [SBK] Hands-on programming assignments 
-  * **[9.12.2024]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} +  * **[08.12.2025]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} 
-  * **[16.12.2024]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} +  * **[15.12.2025]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} 
-  * **[13.01.2025]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} +  * **[12.01.2025]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} 
-  * **[20.01.2025]** [SBK] Hands-on programming assignments +  * **[19.01.2026]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} 
-  * **[27.01.2025]** [SBK] Projects presentations/discussion +  * **[26.01.2026]** [SBK] Hands-on programming assignments 
-  * **[07.02.2025]** :!: **Exam: TBD** :!: +  * **[:?:]** :!: **Exam: TBD** :!: 
-  * **[21.02.2025]** :!: **Exam 2nd term: TBD** :!: +  * **[:?:]** :!: **Exam 2nd term: TBD** :!: 
-====== Labs ====== + 
-  * **[07.10.2023]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] +  * **Lectures Videos**: [[https://ujchmura-my.sharepoint.com/:f:/g/personal/szymon_bobek_uj_edu_pl/Erm88RcLMYhAmCLLmRitz-QBKTKZydDWoYF0j6YqKsSY0g?e=dU3uSM|Watch here]] 
-  * **[14.10.2023]** [SBK] [[.:lab2|Inherently interpretable models]] +====== Labs (Mondays 10:00, G-1-08)====== 
-  * **[21.10.2023]** [SBK] [[.:lab3|Inherently interpretable models II]] +  * **[13.10.2025]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] 
-  * **[28.10.2023]** [SBK] [[.:lab4|Global model-agnostic approaches I]] +  * **[20.10.2025]** [SBK] [[.:lab2|Inherently interpretable models]] 
-  * **[04.11.2023]** [SBK] [[.:lab5|Local model-agnostic approaches I]] +  * **[27.10.2025]** [SBK] [[.:lab3|Inherently interpretable models II]] 
-  * **[18.11.2023]** [SBK] [[.:lab6|Local model-agnostic approaches II]] +  * **[03.11.2025]** [SBK] [[.:lab4|Global model-agnostic approaches I]] 
-  * **[25.11.2023]** Test I +  * **[17.11.2025]** [SBK] [[.:lab5|Local model-agnostic approaches I]] 
-  * **[25.11.2023]** [SBK] [[.:p1_2024|Programming Assignment I]] +  * **[24.11.2025]** [SBK] [[.:lab6|Local model-agnostic approaches II]] 
-  * **[02.12.2023]** [SBK] [[.:lab7|Counterfactual explanations]] +  * **[01.12.2025]** Test I 
-  * **[09.12.2023]** [MTM] [[.:lab8|Evaluation of XAI methods]] +  * **[01.12.2025]** [SBK] [[.:p1_2025|Programming Assignment I]] 
-  * **[16.12.2024]** [BMK] [[.:lab9|Explainability in DNN]] +  * **[08.12.2025]** [SBK] [[.:lab7|Counterfactual explanations]] 
-  * **[13.01.2024]** [SBK] [[.:p2_2024|Programming Assignment II]] +  * **[15.12.2025]** [MTM] [[.:lab8|Evaluation of XAI methods]] 
-  * **[20.01.2024]** Test II +  * **[12.01.2026]** [BMK] [[.:lab9|Explainability in DNN]] 
-  * **[27.01.2025]** [SBK] Projects presentations/discussion+  * **[19.01.2026]** [SBK] [[.:p2_2024|Programming Assignment II]] 
 +  * **[26.01.2025]** Test II 
 +  * **[26.01.2025]** [SBK] Projects presentations/discussion 
 + 
 +====== Labs (Wednesdays 18:30, G-1-03)====== 
 +  * **[15.10.2025]** [SMI] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] 
 +  * **[22.10.2025]** [SMI] [[.:lab2|Inherently interpretable models]] 
 +  * **[29.10.2025]** [SMI] [[.:lab3|Inherently interpretable models II]] 
 +  * **[05.11.2025]** [SMI] [[.:lab4|Global model-agnostic approaches I]] 
 +  * **[12.11.2025]** [SMI] [[.:lab5|Local model-agnostic approaches I]] 
 +  * **[19.11.2025]** [SMI] [[.:lab6|Local model-agnostic approaches II]] 
 +  * **[26.11.2025]** Test I 
 +  * **[26.11.2025]** [SMI] [[.:p1_2025|Programming Assignment I]] 
 +  * **[03.12.2025]** [SMI] [[.:lab7|Counterfactual explanations]] 
 +  * **[10.12.2025]** [SMI] [[.:lab8|Evaluation of XAI methods]] 
 +  * **[17.12.2025]** [SMI] [[.:lab9|Explainability in DNN]] 
 +  * **[14.01.2026]** [SMI] [[.:p2_2025|Programming Assignment II]] 
 +  * **[21.01.2026]** Test II 
 +  * **[21.01.2026]** [SMI] 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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     * 2x25 EXP - two assignments carried out in groups (2-5 people) during the laboratory     * 2x25 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)+  * 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.     * Advantages are taken into account only when passing the exam within the basic deadline.
   * All laboratory projects must be submitted on time.   * All laboratory projects must be submitted on time.
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