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--- courses:xai:start [2025/10/06 06:12] – [Lectures] admin
+++ courses:xai:start [2025/11/24 09:53] (current) – [Labs (Mondays 10:00, G-1-08)] admin
@@ Line 9: / Line 9: @@
 ====== Lectures ======
-  * **[07.10.2024]** [SBK] Lecture plan, rules, organizaiton of classes
+  * **[07.10.2025]** [SBK] Lecture plan, rules, organizaiton of classes
-  * **[13.10.2024]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}}
+  * **[13.10.2025]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}}
-  * **[20.10.2024]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}}
+  * **[20.10.2025]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}}
-  * **[27.10.2024]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}}
+  * **[27.10.2025]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}}
-  * **[03.11.2024]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}}
+  * **[03.11.2025]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}}
-  * **[17.11.2024]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}}
+  * **[17.11.2025]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}}
-  * **[24.11.2024]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}}
+  * **[24.11.2025]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}}
-  * **[01.12.2024]** [SBK] Hands-on programming assignments
+  * **[01.12.2025]** [SBK] Hands-on programming assignments
-  * **[08.12.2024]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}}
+  * **[08.12.2025]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}}
-  * **[15.12.2024]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}}
+  * **[15.12.2025]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}}
-  * **[12.01.2024]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}}
+  * **[12.01.2025]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}}
-  * **[19.01.2025]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}}
+  * **[19.01.2026]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}}
-  * **[26.01.2025]** [SBK] Hands-on programming assignments
+  * **[26.01.2026]** [SBK] Hands-on programming assignments
   * **[:?:]** :!: **Exam: TBD** :!:
   * **[:?:]** :!: **Exam 2nd term: TBD** :!:
-====== Labs (Mondays 10:00)======
+  * **Lectures Videos**: [[https://ujchmura-my.sharepoint.com/:f:/g/personal/szymon_bobek_uj_edu_pl/Erm88RcLMYhAmCLLmRitz-QBKTKZydDWoYF0j6YqKsSY0g?e=dU3uSM|Watch here]]
+====== Labs (Mondays 10:00, G-1-08)======
   * **[13.10.2025]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]]
   * **[20.10.2025]** [SBK] [[.:lab2|Inherently interpretable models]]
@@ Line 32: / Line 34: @@
   * **[24.11.2025]** [SBK] [[.:lab6|Local model-agnostic approaches II]]
   * **[01.12.2025]** Test I
-  * **[01.12.2025]** [SBK] [[.:p1_2024|Programming Assignment I]]
+  * **[01.12.2025]** [SBK] [[.:p1_2025|Programming Assignment I]]
   * **[08.12.2025]** [SBK] [[.:lab7|Counterfactual explanations]]
   * **[15.12.2025]** [MTM] [[.:lab8|Evaluation of XAI methods]]
@@ Line 40: / Line 42: @@
   * **[26.01.2025]** [SBK] Projects presentations/discussion
-====== Labs (Wednesdays 18:00)======
+====== 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]]
@@ Line 48: / Line 50: @@
   * **[19.11.2025]** [SMI] [[.:lab6|Local model-agnostic approaches II]]
   * **[26.11.2025]** Test I
-  * **[26.11.2025]** [SMI] [[.:p1_2024|Programming Assignment 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_2024|Programming Assignment II]]
+  * **[14.01.2026]** [SMI] [[.:p2_2025|Programming Assignment II]]
   * **[21.01.2026]** Test II
   * **[21.01.2026]** [SMI] Projects presentations/discussion
@@ Line 60: / Line 62: @@
     * 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.
   * All laboratory projects must be submitted on time.