==== Lectures and Tutorials ===== ==== Lectures ===== ^ L ^ Date^ Lecturer ^ Contents ^ Materials ^ | 1 | 25.9. | JK | Introduction, course map, requirements. Linear regression (continuous dependent variable, simple linear regression, p-values). | {{ :courses:b4m36san:san_intro_noskulls.pdf |SAN_intro}}, {{:courses:b4m36san:san_regression_2022.pdf|SAN_regression}}, [[https://drive.google.com/file/d/1x3qczf_rfSJdcc6hepvFsEbzmQ8fHcpH/view?usp=sharing|SAN_regression_video]] | | 2 | 2.10. | JK | Multivariate regression (overfitting, model shrinkage). | see the previous slides, [[https://drive.google.com/file/d/1_7CtyzaGzY9rTuzyaS-ncoStmFA2eMTs/view?usp=sharing|SAN_shrinkage_video]] | | 3 | 9.10. | JK | Nonlinear regression (polynomial regression, splines, local regression). | {{:courses:b4m36san:san_nonlin_regression.pdf|SAN_nlin_regression}}, [[https://drive.google.com/file/d/1_4imy5V19Pn8YboB5pcz3oFTSWXQuQ8Z/view?usp=sharing|SAN_nlin_video]] | | 4 | 16.10. | JK | Nonlinear regression (polynomial regression, splines, local regression). | see the previous slides (and video) | | 5 | 23.10. | JK | Discriminant analysis (categorical dependent variable, LDA, logistic regression). | {{ :courses:b4m36san:san_discriminant.pdf |SAN_discriminant}}, [[https://drive.google.com/file/d/1qHUsQxsTk7WJfcHpzVxmpguBLx0-rWsw/view?usp=sharing|SAN_disc_dimred_video]] | | 6 | 30.10. | JK | Generalized linear models (GLMs). | {{ :courses:b4m36san:san_glms.pdf|SAN_GLMs}}, [[https://www.youtube.com/watch?v=-msw86NGZdg&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=5 |SAN_GLMs_video]] | | 7 | 6.11. | JK | Dimension reduction (PCA and kernel PCA). | {{:courses:b4m36san:dimred_2020.pdf|SAN_dimred}}, [[https://drive.google.com/file/d/1vLCvPyQ1P17n1mqiUNm52rzvdU-bZAoD/view?usp=sharing|SAN_dimred_video]] | | 8 | 13.11. | JK | Dimension reduction (other non-linear methods). | see the previous slides (and video) | | 9 | 20.11. | -- | Dean's day | no class | | 10 | 27.11. | TP | Robust statistics. | {{ :courses:b4m36san:robust.pdf |SAN_robust}}, [[https://www.youtube.com/watch?v=lzUWyfxbVmg&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=1|SAN_robust_video]] | | 11 | 4.12. | TP | Anomaly detection. | {{ :courses:b4m36san:presentation_11.pdf|Anomaly}}, [[https://www.youtube.com/watch?v=oxIhNGZBzt4&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=2|SAN_anomaly_video]] | | 12 | 11.12. | ZM | Empirical studies, their design and evaluation. Power analysis. | {{ :courses:b4m36san:san_lecture12_studies_and_power_analysis-v08.pdf|SAN_emp_studies_power_analysis}}, [[https://www.youtube.com/watch?v=IeSWVaI9oxY&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=6|SAN_emp_studies_video]] | | 13 | 18.12. | JK | Clustering (formalism, k-means, EM GMM, hierarchical). | {{ :courses:b4m36san:san_clustering.pdf |SAN_clustering}}, [[https://www.youtube.com/watch?v=QBVPz9M8y6I&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=3|SAN_clustering_video]] | | 14 | 8.1. | JK | Clustering (spectral clustering). | {{:courses:b4m36san:san_clustering_pokr.pdf|SAN_spect_clustering}}, [[https://www.youtube.com/watch?v=DtPrJIdvHfU&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=4|SAN_spect_clustering_video]] | ==== Tutorials ===== ^ T ^ Date ^ Teacher ^ Contents ^ Materials ^ Previous years ^ | 1 | 25.9. | JB, AA, JK | Statistical testing, t-test, significance, power of the test. | {{ :courses:b4m36san:san_intro.zip | san_intro.zip}} | {{ :courses:b4m36san:lab1.zip | lab1.zip}} {{ :courses:b4m36san:r.pptx | R.pptx }} | | 2 | 2.10. | JB, AA, JK | Simple linear regression. | {{ :courses:b4m36san:san_lreg.zip | san_lreg.zip}} | {{ :courses:b4m36san:lab2.zip | lab2.zip}} {{:courses:b4m36san:statistics_and_visualization.pptx | Statistics and visualization.pptx}} | | 3 | 9.10. | JB, AA, JK | Shrinked linear regression | {{ :courses:b4m36san:san_fs.zip |}} | {{ :courses:b4m36san:lab3.zip | lab3.zip}} {{:courses:b4m36san:linear_regression.pptx | Linear regression.pptx}} | | 4 | 16.10. | JB, AA, JK | Non-linear regression | {{ :courses:b4m36san:san_nonlinear.zip |}}, {{ :courses:b4m36san:assignment1.zip |}} | {{ :courses:b4m36san:lab4.zip | lab4.zip}} {{ :courses:b4m36san:linear_regression2.pptx | Linear_regression_2.pptx}} {{ :courses:b4m36san:demo_exam_question_linreg.pdf | demo_exam_question_linreg.pdf }} | | 5 | 23.10. | JB, AA, JK | Discriminant analysis | {{ :courses:b4m36san:san_lda.zip |}}, {{ :courses:b4m36san:assignment2.zip |}}, {{ :courses:b4m36san:elhabian_lda09.pdf | reading for assignment 2}} | {{ :courses:b4m36san:lab5.zip | lab5.zip}}, {{ :courses:b4m36san:linear_regression3.pptx | Linear regression 3.pptx}} | | 6 | 30.10. | JB, AA, JK | Generalized linear models | {{ :courses:b4m36san:san_glms.zip |}}, {{ :courses:b4m36san:assignment3.zip |}} | {{ :courses:b4m36san:lab6.zip |}} {{ :courses:b4m36san:assignment2.zip |}} {{ :courses:b4m36san:LDA_LR.pptx | LDA_LR.pptx}} {{ :courses:b4m36san:elhabian_lda09.pdf | Elhabian_LDA09.pdf }} {{ :courses:b4m36san:LDA_LR.pdf | LDA_LR.pdf }} | | 7 | 6.11. | JB, AA, JK | Dimension reduction | {{:courses:b4m36san:lab8.zip | san_dimred.zip}}, {{ :courses:b4m36san:assignment4.zip |}} | {{ :courses:b4m36san:lab7.zip |}}, {{ :courses:b4m36san:GLMs.pptx | GLMs.pptx}}| | 8 | 13.11. | JB, AA, JK | Mid-term test, the final assignment | [[courses:b4m36san:new_final_assignment|Final Assignment]] | | | 9 | 20.11. | -- | Dean's day | no class | {{:courses:b4m36san:lab8.zip | lab8.zip}}, {{ :courses:b4m36san:assignment4.zip |}} {{ :courses:b4m36san:Dimred.pptx | Dimensionality reduction.pptx}} {{ :courses:b4m36san:Dimred.pdf | Dimensionality reduction.pdf}} | | 10 | 27.11. | TP | Robust statistics | | {{ :courses:b4m36san:instruction.pdf |}} | | 11 | 4.12. | TP | Anomaly detection – assignment. | | {{ :courses:b4m36san:anomaly2.pdf |}} {{ :courses:b4m36san:anomaly-problems.zip |}}{{ :courses:b4m36san:anomalylab.jl|Notebook in Pluto}}[[https://github.com/fonsp/Pluto.jl|Link to Pluto]] | | 12 | 11.12. | ZM | Empirical study design, power analysis | {{:courses:b4m36san:san_practice_hci_experiment_evaluation_and_power_analysis-v05.pdf | empirical_study,}} {{courses:b4m36san:san2023_hci_experiment_measured_values.xlsx | experiment_data_FINAL}} | | | 13 | 18.12. | JB, AA, JK | Clustering | {{ :courses:b4m36san:san_clustering.zip |san_clustering.zip}} | {{:courses:b4m36san:lab12.zip |}} {{ :courses:b4m36san:spect_clust.pdf | Advanced clustering.pdf}} {{ :courses:b4m36san:spect_clust.pptx | Advanced clustering.pptx}} {{ :courses:b4m36san:SAN_solved.pdf | SAN_solved.pdf}} | | 14 | 8.1. | JB, AA, JK | The final assignment -- team presentations | | {{:courses:b4m36san:semestral.pdf |}} | ==== Extra Resources for the Curious ===== If you are interested and want to learn more, here are some extra resources beyond this course you can look at: - Wasserstein, Ronald L., and Nicole A. Lazar. "The ASA statement on p-values: context, process, and purpose." The American Statistician 70.2 (2016): 129-133. DOI: [[https://doi.org/10.1080/00031305.2016.1154108|10.1080/00031305.2016.1154108]] If you have a suggestion on what to add, please let us know. :)