Lectures

L Date Lecturer Contents Materials
1 2.10. JK Introduction, course map, review of the basic stat terms/methods. SAN_intro, skulls.zip
2 9.10. JK Dimension reduction (PCA and kernel PCA). SAN_dimred
3 16.10. JK Dimension reduction (other non-linear methods). see the previous slides
4 23.10. JK Clustering (formalism, k-means, EM GMM, hierarchical). SAN_clustering
5 30.10. JK Clustering (spectral clustering). SAN_spect_clutering
6 6.11. JK Multivariate confirmation analysis (ANOVA and MANOVA). SAN_manova,alloy.zip
7 13.11. JK Multivariate regression (continuous dependent variable, linear regression, p-values, overfitting). SAN_regression
8 20.11. JK Multivariate regression (non-linear models, polynomial and local regression). SAN_nonlin_regression
9 27.11. JK Discriminant analysis (categorical dependent variable, LDA, logistic regression). SAN_discriminant
10 4.12. TP Anomaly detection. SAN_anomaly_detect
11 11.12. TP Robust statistics. SAN_robust
12 18.12. ZM Empirical studies, their design and evaluation. SAN_emp_studies
13 1.1. Holiday
14 8.1. ZM Power analysis. SAN_power_analysis

Tutorials

T Date Teacher Contents Materials
1 2.10. FM Programming in R, introduction. 1_cv_san.zip
2 9.10. FM R libraries, statistical packages, learning package Swirl. 2_cv_san.zip
3 16.10. FM Data visualization in R. 3_cv_san.zip
4 23.10. FM Dimension reduction – assignment. 4_cv_san.zip
5 30.10. FM Clustering – assignment. 5_cv_san.zip
6 6.11. FM Multivariate confirmation analysis – assignment. Deadline 20.11. 6_cv_san.zip
7 13.11. JB Multivariate linear regression – assignment. Deadline 27.11. 7_cv_san.zip
8 20.11. FM, JB Mid-term test. datasets.zip datasets2.zip
9 27.11. JB Multivariate non-linear regression – assignment. 9_cv_san.zip
10 4.12. JB Discriminant analysis – assignment. 10_cv_san.zip LDA derivation for Dimensionality reduction
11 11.12. TP Anomaly detection – assignment. anomaly_detection.zip anomaly_lab.pdf
12 18.12. ZM Empirical study design – assignment. san_emp_study_execution
13 1.1. Holiday
14 8.1. ZM Power analysis – assignment. san_emp_sutdy_evaluation