==== Lectures and Tutorials ===== ==== Lectures ===== ^ L ^ Date^ Lecturer ^ Contents ^ Materials ^ | 1 | 21.9. | JK | Introduction, course map, review of the basic stat terms/methods. | {{ :courses:b4m36san:san_intro.pdf |SAN_intro}}, {{ :courses:b4m36san:skulls.zip | Skulls}} | | 2 | 28.9. | | Public holiday | | 3 | 5.10. | JK | Linear regression (continuous dependent variable, simple linear regression, p-values). | {{:courses:b4m36san:san_regression.pdf|SAN_regression}} | | 4 | 12.10. | JK | Multivariate regression (overfitting, model shrinkage). | see the previous slides | | 5 | 19.10. | JK | Nonlinear regression (polynomial regression, splines, local regression). | {{:courses:b4m36san:san_nonlin_regression.pdf|SAN_nlin_regression}} | | 6 | 26.10. | JK | Multivariate confirmation analysis (ANOVA and MANOVA). | {{ :courses:b4m36san:san_manova_2020.pdf|SAN_manova}} | | 7 | 2.11. | JK | Discriminant analysis (categorical dependent variable, LDA, logistic regression). | {{ :courses:b4m36san:san_discriminant.pdf |SAN_discriminant}} | | 8 | 9.11. | JK | Dimension reduction (PCA and kernel PCA). | {{:courses:b4m36san:dimred_2020.pdf|SAN_dimred}} | | 9 | 16.11. | JK | Dimension reduction (other non-linear methods). | see the previous slides | | 10 | 23.11. | TP | Robust statistics. | {{ :courses:b4m36san:robust.pdf |SAN_robust}} | | 11 | 30.11. | ZM | Empirical studies, their design and evaluation. Power analysis. | {{{{ :courses:b4m36san:san_lecture12_studies_and_power_analysis-v05.pdf|SAN_emp_studies_power_analysis}}| | 12 | 7.12. | TP | Anomaly detection. | {{:courses:b4m36san:san_anomaly.pdf | Anomaly}} | | 13 | 14.12. | JK | Clustering (formalism, k-means, EM GMM, hierarchical). | {{ :courses:b4m36san:san_clustering.pdf |SAN_clustering}} | | 14 | 4.1. | JK | Clustering (spectral clustering). | {{:courses:b4m36san:san_clustering_pokr_short.pdf|SAN_spect_clustering}} | ==== Tutorials ===== ^ T ^ Date ^ Teacher ^ Contents ^ Materials ^ | 1 | 21.9. | AVL | Programming in R, introduction, dplyr basics. | {{ :courses:b4m36san:cv1_2020.zip | cv1_2020.zip}} | | 2 | 28.9. | | Public holiday | | 3 | 5.10. | AVL | Basic statistics in R, data visualization in R. | {{ :courses:b4m36san:penguins_stat_vis.zip | penguins_stat_vis.zip}} {{ :courses:b4m36san:statistics_and_visualization.pptx | Statistics and visualization.pptx}} | | 4 | 12.10. | JB | Multivariate linear regression | {{ :courses:b4m36san:lab3.zip | Lab3}} | | 5 | 19.10. | JB | Multivariate non-linear regression | {{ :courses:b4m36san:assignment1.zip |}} {{ :courses:b4m36san:nonlinear_wage_tutorial.zip |}} {{ :courses:b4m36san:nonlinear_wage.zip |}} | | 6 | 26.10. | JB | Multivariate confirmation analysis | {{ :courses:b4m36san:tutorial_anova.zip |}} {{ :courses:b4m36san:assignment2.zip |}} | | 7 | 2.11. | JB | Discriminant analysis |{{ :courses:b4m36san:lda_tutorial.zip |}} {{ :courses:b4m36san:assignment3_lda.zip |}} | | 8 | 9.11. | JB, AVL | Mid-term test | {{:courses:b4m36san:datasets.zip |}} | | 9 | 16.11. | AVL | Dimension reduction | {{:courses:b4m36san:dimred2020.zip |dimred}}, {{ :courses:b4m36san:assignment4-dimred.zip |}} | | 10 | 23.11. | TP | Robust statistics |{{ :courses:b4m36san:instruction.pdf |}} | | 11 | 30.11. | ZM | Empirical study design, power analysis | {{:courses:b4m36san:san_practice_hci_experiemnt_evaluation_and_power_analysis-v02a.pdf | empirical_study}} {{courses:b4m36san:san2020_hci_experiment_measured_values.xlsx | experiment_data}} | | 12 | 7.12. | TP | Anomaly detection – assignment. | {{ :courses:b4m36san:anomaly2.pdf |}} {{ :courses:b4m36san:anomaly-problems.zip |}}| | 13 | 14.12. | | Consultations for the final assignment | {{ :courses:b4m36san:exploratory_demo.zip | exploratory_demo.zip}}| | 14 | 4.1. | AVL | Clustering | {{:courses:b4m36san:advanced_clustering.zip |}}|