Lectures and Tutorials


L Date Lecturer Contents Materials
1 19.9. JK Introduction, course map, requirements. Linear regression (continuous dependent variable, simple linear regression, p-values). SAN_intro, SAN_regression, SAN_regression_video
2 26.9. JK Multivariate regression (overfitting, model shrinkage). see the previous slides, SAN_shrinkage_video
3 3.10. JK Nonlinear regression (polynomial regression, splines, local regression). SAN_nlin_regression, SAN_nlin_video
4 10.10. JK Nonlinear regression (polynomial regression, splines, local regression). see the previous slides (and video)
5 17.10. JK Discriminant analysis (categorical dependent variable, LDA, logistic regression). SAN_discriminant, SAN_disc_dimred_video
6 24.10. JK Generalized linear models (GLMs). SAN_GLMs, SAN_GLMs_video
7 31.10. JK (Multivariate) confirmation analysis (ANOVA and MANOVA). SAN_manova, SAN_anova_video, SAN_manova_video
8 7.11. JK Dimension reduction (PCA and kernel PCA). SAN_dimred, SAN_dimred_video
9 14.11. JK Dimension reduction (other non-linear methods). see the previous slides (and video)
10 21.11. TP Robust statistics. SAN_robust, SAN_robust_video
11 28.11. TP Anomaly detection. Anomaly, SAN_anomaly_video
12 5.12. ZM Empirical studies, their design and evaluation. Power analysis. SAN_emp_studies_power_analysis
13 12.12. JK Clustering (formalism, k-means, EM GMM, hierarchical). SAN_clustering, SAN_clustering_video
14 9.1. JK Clustering (spectral clustering). SAN_spect_clustering, SAN_spect_clustering_video


T Date Teacher Contents Materials
1 19.9. AVL, JB Programming in R, introduction, dplyr basics. lab1.zip R.pptx
2 26.9. AVL, JB Basic statistics in R, data visualization in R. lab2.zip Statistics and visualization.pptx
3 3.10. AVL, JB Linear regression lab3.zip Linear regression.pptx
4 10.10. AVL, JB Multivariate linear regression lab4.zip Linear_regression_2.pptx demo_exam_question_linreg.pdf
5 17.10. AVL, JB Multivariate non-linear regression lab5.zip assignment1.zip Linear regression 3.pptx
6 24.10. AVL, JB Discriminant analysis lab6.zip assignment2.zip LDA_LR.pptx Elhabian_LDA09.pdf LDA_LR.pdf
7 31.10. AVL, JB Generalized linear models lab7.zip assignment3.zip GLMs.pptx
8 7.11. AVL, JB Mid-term test
9 14.11. AVL, JB Dimension reduction lab8.zip, assignment4.zip Dimensionality reduction.pptx Dimensionality reduction.pdf
10 21.11. TP Robust statistics instruction.pdf
11 28.11. TP Anomaly detection – assignment. anomaly2.pdf anomaly-problems.zipNotebook in PlutoLink to Pluto
12 5.12. ZM Empirical study design, power analysis empirical_study experiment_data
13 12.12. Consultations for the final assignment
14 9.1. AVL, JB Clustering lab12.zip SAN_solved.pdf
courses/b4m36san/content.txt · Last modified: 2022/11/28 21:04 by pevnytom