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b211
courses
b4m36san
content
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Table of Contents
Lectures and Tutorials
Lectures
Tutorials
Lectures and Tutorials
Lectures
L
Date
Lecturer
Contents
Materials
1
20.9.
JK
Introduction, course map, requirements. Linear regression (continuous dependent variable, simple linear regression, p-values).
SAN_intro
,
SAN_regression
,
SAN_regression_video
2
27.9.
JK
Multivariate regression (overfitting, model shrinkage).
see the previous slides,
SAN_shrinkage_video
3
4.10.
JK
Nonlinear regression (polynomial regression, splines, local regression).
SAN_nlin_regression
,
SAN_nlin_video
4
11.10.
JK
Nonlinear regression (polynomial regression, splines, local regression).
see the previous slides (and video)
5
18.10.
JK
Confirmation analysis (ANOVA).
SAN_manova
,
SAN_anova_video
6
25.10.
JK
Multivariate confirmation analysis (MANOVA).
see the previous slides,
SAN_manova_video
7
1.11.
JK
Discriminant analysis (categorical dependent variable, LDA, logistic regression).
SAN_discriminant
,
SAN_disc_dimred_video
8
8.11.
JK
Dimension reduction (PCA and kernel PCA).
SAN_dimred
,
SAN_dimred_video
9
15.11.
JK
Dimension reduction (other non-linear methods).
see the previous slides (and video)
10
22.11.
TP
Robust statistics.
SAN_robust
,
SAN_robust_video
11
29.11.
ZM
Empirical studies, their design and evaluation. Power analysis.
SAN_emp_studies_power_analysis
12
6.12.
TP
Anomaly detection.
Anomaly
,
SAN_anomaly_video
13
13.12.
JK
Clustering (formalism, k-means, EM GMM, hierarchical).
SAN_clustering
,
SAN_clustering_video
14
3.1.
JK
Clustering (spectral clustering).
SAN_spect_clustering
,
SAN_spect_clustering_video
Tutorials
T
Date
Teacher
Contents
Materials
1
20.9.
AVL
Programming in R, introduction, dplyr basics.
lab1.zip
R.pptx
2
27.9.
AVL
Basic statistics in R, data visualization in R.
lab2.zip
Statistics and visualization.pptx
3
4.10.
AVL
Linear regression
lab3.zip
Linear regression.pptx
4
11.10.
AVL
Multivariate linear regression
lab4.zip
demo_exam_question_linreg.pdf
5
18.10.
AVL
Multivariate non-linear regression
lab5.zip
assignment1.zip
Linear regression 3.pptx
san_linreg_solved.pdf
6
25.10.
AVL
Multivariate confirmation analysis
lab6.zip
assignment2.zip
san_anova_solved.pdf
ANOVA.pptx
7
1.11.
AVL
Discriminant analysis
lab7.zip
assignment3_lda.zip
LDA_LR.pptx
8
8.11.
AVL
Mid-term test
9
15.11.
AVL
Dimension reduction
lab8.zip
,
assignment4-dimred.zip
Dimensionality reduction.pptx
SAN_solved.pdf
10
22.11.
TP
Robust statistics
instruction.pdf
11
29.11.
ZM
Empirical study design, power analysis
empirical_study
experiment_data
12
6.12.
TP
Anomaly detection – assignment.
anomaly2.pdf
anomaly-problems.zip
13
13.12.
Consultations for the final assignment
14
3.1.
AVL
Clustering
lab12.zip
SAN_solved.pdf
courses/b4m36san/content.txt
· Last modified: 2022/01/05 08:54 by
klema