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b201
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
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