courses:b4m36san:content [CourseWare Wiki]

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, SAN_emp_studies_video
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.zip Notebook in Pluto Link to Pluto
12	5.12.	ZM	Empirical study design, power analysis	empirical_study experiment_data
13	12.12.		Consultations for the final assignment	semestral.pdf
14	9.1.	AVL, JB	Clustering	lab12.zip Advanced clustering.pdf Advanced clustering.pptx SAN_solved.pdf