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Table of Contents

Lectures and Tutorials

Lectures

L Date Lecturer Contents Materials
1 21.9. JK Introduction, course map, review of the basic stat terms/methods. SAN_intro, Skulls
2 28.9. Public holiday
3 5.10. JK Linear regression (continuous dependent variable, simple linear regression, p-values). 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). SAN_nlin_regression
6 26.10. JK Multivariate confirmation analysis (ANOVA and MANOVA). SAN_manova
7 2.11. JK Discriminant analysis (categorical dependent variable, LDA, logistic regression). SAN_discriminant
8 9.11. JK Dimension reduction (PCA and kernel PCA). SAN_dimred
9 16.11. JK Dimension reduction (other non-linear methods). see the previous slides
10 23.11. TP Robust statistics. SAN_robust
11 30.11. ZM Empirical studies, their design and evaluation. Power analysis. SAN_emp_studies_power_analysis
12 7.12. TP Anomaly detection. Anomaly
13 14.12. JK Clustering (formalism, k-means, EM GMM, hierarchical). SAN_clustering
14 4.1. JK Clustering (spectral clustering). SAN_spect_clustering

Tutorials

T Date Teacher Contents Materials
1 21.9. AVL Programming in R, introduction, dplyr basics. cv1_2020.zip
2 28.9. Public holiday
3 5.10. AVL Basic statistics in R, data visualization in R. penguins_stat_vis.zip Statistics and visualization.pptx
4 12.10. JB Multivariate linear regression Lab3
5 19.10. JB Multivariate non-linear regression assignment1.zip nonlinear_wage_tutorial.zip nonlinear_wage.zip
6 26.10. JB Multivariate confirmation analysis tutorial_anova.zip assignment2.zip
7 2.11. JB Discriminant analysis lda_tutorial.zip assignment3_lda.zip
8 9.11. JB, AVL Mid-term test datasets.zip
9 16.11. AVL Dimension reduction dimred, assignment4-dimred.zip
10 23.11. TP Robust statistics instruction.pdf
11 30.11. ZM Empirical study design, power analysis empirical_study experiment_data
12 7.12. TP Anomaly detection – assignment. anomaly2.pdf anomaly-problems.zip
13 14.12. Consultations for the final assignment exploratory_demo.zip
14 4.1. AVL Clustering advanced_clustering.zip
courses/b4m36san/content.txt · Last modified: 2021/01/04 13:32 by lequyanh