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courses:xai:start [2025/10/16 06:48] – [Labs (Wednesdays 18:00)] admincourses:xai:start [2026/10/05 06:57] (current) – [Grading rules] admin
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   * Teachers:   * Teachers:
     * Lectures: [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK)     * Lectures: [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK)
-    * Labs:  +    * Labs:  [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK)
-      * Mondays [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK) +
-      * Wednesdays [[https://www.linkedin.com/in/manai-sabri|Sabri Manai, PhD Candidate]] (SMI)+
  
 ====== Lectures ====== ====== Lectures ======
-  * **[07.10.2025]** [SBK] Lecture plan, rules, organizaiton of classes +  * **[05.10.2026]** [SBK] Lecture plan, rules, organizaiton of classes 
-  * **[13.10.2025]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} +  * **[12.10.2026]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} 
-  * **[20.10.2025]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} +  * **[19.10.2026]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} 
-  * **[27.10.2025]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} +  * **[26.10.2026]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} 
-  * **[03.11.2025]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} +  * **[09.11.2026]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} 
-  * **[17.11.2025]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} +  * **[16.11.2026]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} 
-  * **[24.11.2025]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} +  * **[23.11.2026]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} 
-  * **[01.12.2025]** [SBK] Hands-on programming assignments +  * **[30.11.2026]** [SBK] Hands-on programming assignments 
-  * **[08.12.2025]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} +  * **[07.12.2026]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} 
-  * **[15.12.2025]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} +  * **[14.12.2026]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} 
-  * **[12.01.2025]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} +  * **[21.12.2026]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} 
-  * **[19.01.2026]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} +  * **[11.01.2027]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} 
-  * **[26.01.2026]** [SBK] Hands-on programming assignments +  * **[18.01.2027]** [SBK] Hands-on programming assignments 
-  * **[:?:]** :!: **Exam: TBD** :!: + 
-  * **[:?:]** :!: **Exam 2nd term: TBD** :!: + 
-====== Labs (Mondays 10:00)====== +  * :!: **Exam: First Term: 01.02.2027** — XXX Room XXX 
-  * **[13.10.2025]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] +  * :!: **Exam: Second Term: 18.02.2027** — XXX, Room XXX 
-  * **[20.10.2025]** [SBK] [[.:lab2|Inherently interpretable models]] + 
-  * **[27.10.2025]** [SBK] [[.:lab3|Inherently interpretable models II]] +  * **Lectures Videos**: [[https://ujchmura-my.sharepoint.com/:f:/g/personal/szymon_bobek_uj_edu_pl/Erm88RcLMYhAmCLLmRitz-QBKTKZydDWoYF0j6YqKsSY0g?e=dU3uSM|Watch here]] 
-  * **[03.11.2025]** [SBK] [[.:lab4|Global model-agnostic approaches I]] +====== Labs (Mondays 10:00, G-1-08)====== 
-  * **[17.11.2025]** [SBK] [[.:lab5|Local model-agnostic approaches I]] +  * **[12.10.2026]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] 
-  * **[24.11.2025]** [SBK] [[.:lab6|Local model-agnostic approaches II]] +  * **[19.10.2026]** [SBK] [[.:lab2|Inherently interpretable models]] 
-  * **[01.12.2025]** Test I +  * **[26.10.2026]** [SBK] [[.:lab3|Inherently interpretable models II]] 
-  * **[01.12.2025]** [SBK] [[.:p1_2024|Programming Assignment I]] +  * **[09.11.2026]** [SBK] [[.:lab4|Global model-agnostic approaches I]] 
-  * **[08.12.2025]** [SBK] [[.:lab7|Counterfactual explanations]] +  * **[16.11.2026]** [SBK] [[.:lab5|Local model-agnostic approaches I]] 
-  * **[15.12.2025]** [MTM] [[.:lab8|Evaluation of XAI methods]] +  * **[23.11.2026]** [SBK] [[.:lab6|Local model-agnostic approaches II]] 
-  * **[12.01.2026]** [BMK] [[.:lab9|Explainability in DNN]] +  * **[30.11.2026]** Test I 
-  * **[19.01.2026]** [SBK] [[.:p2_2024|Programming Assignment II]] +  * **[30.11.2026]** [SBK] [[.:pr_2026|Programming Assignment -- start]] 
-  * **[26.01.2025]** Test II +  * **[07.12.2026]** [SBK] [[.:lab7|Counterfactual explanations]] 
-  * **[26.01.2025]** [SBK] Projects presentations/discussion+  * **[14.12.2026]** [MTM] [[.:lab8|Evaluation of XAI methods]] 
 +  * **[21.12.2026]** [BMK] [[.:lab9|Explainability in DNN]] 
 +  * **[11.01.2027]** [SBK] [[.:pr_2026|Programming Assignment -- end]] 
 +  * **[18.01.2027]** Test II 
 +  * **[18.01.2027]** [SBK] Projects presentations/discussion 
  
-====== Labs (Wednesdays 18:30)====== 
-  * **[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_2024|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]] 
-  * **[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:
     * 2x25 EXP - two tests, covering material from the laboratories and lecture     * 2x25 EXP - two tests, covering material from the laboratories and lecture
-    * 2x25 EXP - two assignments carried out in groups (2-5 people) during the laboratory +    * 50 EXP - mini project assignment 
- +  * 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  
-    * 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. In total, meaning (T1_score+T2_score)/(50) should be greater or equal to 0.6).
-    * You must obtain at least 60% of points in all tests.+
     * Two unexcused absences are allowed.     * Two unexcused absences are allowed.
     * Each subsequent absence results in a deduction of 10 EXP.     * Each subsequent absence results in a deduction of 10 EXP.
 +    * Min 50% of presence at laboratories is required  
 +  * You need to pass the laboratories to take the exam.
 ===== Grading scale: ===== ===== Grading scale: =====
  
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