Show pageOld revisionsBacklinksBack to top This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong. ====== Explainable Artificial Intelligence ====== * Course ID: WFAIS.IF-XG325.0 * Room: G-1-08 * Teachers: * Lectures: [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK) * Labs: [[https://szymon.bobek.re|dr inż. Szymon Bobek]] (SBK) ====== Lectures ====== * **[05.10.2026]** [SBK] Lecture plan, rules, organizaiton of classes * **[12.10.2026]** [SBK] {{ :courses:xai:1_introduction_to_explainable_artificial_intelligence_2024.pdf |Introduction to xAI}} * **[19.10.2026]** [SBK] {{ :courses:xai:2_inherently_interpretable_models.pdf |Inherently interpretable models I}} * **[26.10.2026]** [SBK] {{ :courses:xai:3_inherently_interpretable_models.pdf |Inherently interpretable models II}} * **[09.11.2026]** [SBK] {{ :courses:xai:4_surrogate_models.pdf |Global model-agnostic explanations and surrogate models}} * **[16.11.2026]** [SBK] {{ :courses:xai:5_local_model-agnostic_explanations.pdf |Local model-agnostic explanations I}} * **[23.11.2026]** [SBK] {{ :courses:xai:6_local_model-agnostic_explanations.pdf |Local model-agnostic explanations II}} * **[30.11.2026]** [SBK] Hands-on programming assignments * **[07.12.2026]** [SBK] {{ :courses:xai:7_conterfactual_and_adversarial_explanations.pdf |Counterfactual explanations}} * **[14.12.2026]** [SBK] {{ :courses:xai:8_evaluation_methods.pdf |Evaluation of XAI algorithms}} * **[21.12.2026]** [SBK] {{ :courses:xai:9_explainability_in_neural_networks.pdf |Explanations in Neural Networks}} * **[11.01.2027]** [SBK] {{ :courses:xai:10_industrial_challenges_for_xai.pdf |Challenges of XAI in Industrial applications}} * **[18.01.2027]** [SBK] Hands-on programming assignments * :!: **Exam: First Term: 01.02.2027** — XXX Room XXX * :!: **Exam: Second Term: 18.02.2027** — XXX, Room XXX * **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)====== * **[12.10.2026]** [SBK] [[.:lab1|Introduction to working environment, basics of data manipulation and visualization and bias identification]] * **[19.10.2026]** [SBK] [[.:lab2|Inherently interpretable models]] * **[26.10.2026]** [SBK] [[.:lab3|Inherently interpretable models II]] * **[09.11.2026]** [SBK] [[.:lab4|Global model-agnostic approaches I]] * **[16.11.2026]** [SBK] [[.:lab5|Local model-agnostic approaches I]] * **[23.11.2026]** [SBK] [[.:lab6|Local model-agnostic approaches II]] * **[30.11.2026]** Test I * **[30.11.2026]** [SBK] [[.:pr_2026|Programming Assignment -- start]] * **[07.12.2026]** [SBK] [[.:lab7|Counterfactual explanations]] * **[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 ====== Grading rules ====== * 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 * 50 EXP - mini project assignment * The above result may be increased by any "pluses" for activity during classes (1 plus = 1 EXP) * Advantages are taken into account only when passing the exam within the basic deadline. * All laboratory projects must be submitted on time * 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). * Two unexcused absences are allowed. * 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: ===== * >= 90 EXP – bdb * >= 80 EXP – db+ * >= 70 EXP – db * >= 60 EXP – dst+ * >= 50 EXP – dst * < 50 EXP – ndst ====== References ====== * [[https://christophm.github.io/interpretable-ml-book/|Interpretable Machine Learning]] courses/xai/start.txt Last modified: 4 days agoby admin