==== Lectures  and Tutorials =====

==== Lectures =====

^  L  ^  Date^  Lecturer  ^  Contents  ^  Materials   ^
|  1         |  23.9.  |  JK  | Introduction, course map, review of the basic stat terms/methods.  | {{ :courses:b4m36san:san_intro.pdf |SAN_intro}}, {{ :courses:b4m36san:skulls.zip | Skulls}} |
|  2         |  30.9.  |  JK  | Multivariate regression (continuous dependent variable, linear regression, p-values, overfitting).  | {{:courses:b4m36san:san_regression.pdf|SAN_regression}} |
|  3         |  7.10.  |  JK  | Multivariate regression (non-linear models, polynomial and local regression). | {{:courses:b4m36san:san_nonlin_regression.pdf|SAN_nlin_regression}} |
|  4         |  14.10.  |  JK  | Multivariate confirmation analysis (ANOVA and MANOVA). | {{ :courses:b4m36san:san_manova.pdf |SAN_manova}}  |
|  5         |  21.10.  |  JK  | Multivariate confirmation analysis (ANOVA and MANOVA). | see the previous slides | 
|  6         |  28.10.  |  | Public holiday |
|  7          |  4.11. |  JK  | Discriminant analysis (categorical dependent variable, LDA, logistic regression).  | {{ :courses:b4m36san:san_discriminant.pdf |SAN_discriminant}} |
|  8         |  11.11.   |  JK  | Dimension reduction (PCA and kernel PCA).  | {{:courses:b4m36san:dimred_wsom.pdf|SAN_dimred}} |
|  9         |  18.11.  |  JK  | Dimension reduction (other non-linear methods). | see the previous slides |
|  10        |  25.11.  |  TP  | Robust statistics.  | {{:courses:b4m36san:robust.pdf|SAN_robust}} |
|  11         |  2.12.  |  TP  | Anomaly detection.  | {{:courses:b4m36san:san_anomaly.pdf | Anomaly}} |    
|  12        |  9.12. |  ZM   | Empirical studies, their design and evaluation. Power analysis. | {{{{ :courses:b4m36san:san_lecture12_studies_and_power_analysis-v04.pdf|SAN_emp_studies_power_analysis}} |   
|  13        | 16.12.  |  JK  | Clustering (formalism, k-means, EM GMM, hierarchical). | {{ :courses:b4m36san:san_clustering.pdf |SAN_clustering}} |
|  14        | 6.1.  |  JK  | Clustering (spectral clustering). | {{:courses:b4m36san:san_clustering_pokr_short.pdf|SAN_spect_clustering}} |

==== Tutorials =====

^ T ^  Date  ^ Teacher   ^ Contents ^  Materials   ^                             
|  1         |  23.9.  |  AVL  | Programming in R, introduction, libraries including learning package Swirl.  | {{ :courses:b4m36san:cv1_2019.zip | Lab1}} |
|  2         |  30.9.  |  AVL  | Basic statistics in R, prerequisities, data visualization in R.  | {{ :courses:b4m36san:lab2.zip | Lab2}} |
|  3         |  7.10.  |  JB  | Multivariate linear regression | {{ :courses:b4m36san:lab3.zip | Lab3}} |
|  4         |  14.10.  |  JB  | Multivariate non-linear regression  | {{ :courses:b4m36san:nonlinear_wage_tutorial.zip |}} {{ :courses:b4m36san:assignment1_2019.zip |}} {{ :courses:b4m36san:nonlinear_wage.zip |}} |
|  5         |  21.10.  |  JB  | Multivariate confirmation analysis | {{ :courses:b4m36san:tutorial_anova.zip |}} {{ :courses:b4m36san:assignment2.zip |}} | 
|  6         |  28.10.  |  | Public holiday |
|  7         |  4.11.  |  JB  | Discriminant analysis  |{{ :courses:b4m36san:lda_tutorial.zip |}} {{ :courses:b4m36san:assignment3_lda.zip |}}[[http://courses.cs.tamu.edu/rgutier/cs790_w02/l6.pdf|LDA derivation for Dimensionality reduction]] |
|  8          |  11.11. |  JB, AVL  | Mid-term test  | {{:courses:b4m36san:datasets.zip |}} |
|  9         |  18.11.   |  AVL  | Dimension reduction  | {{:courses:b4m36san:dimred.zip |DimRed}}, {{ :courses:b4m36san:assignment4-dimred.zip |}} |
|  10         |  25.11.  |  TP  | Robust statistics  |{{ :courses:b4m36san:instruction.pdf |}} |
|  11         | 2.12.  |  TP  | Anomaly detection – assignment.  | {{ :courses:b4m36san:anomaly2.pdf |}} {{ :courses:b4m36san:anomaly-problems.zip |}}|    
|  12        |  9.12.  |  ZM  | Empirical study design, power analysis  | {{:courses:b4m36san:san_practice_hci_experiemnt_evaluation_and_power_analysis-v01.pdf | empirical_study}}|   
|  13        |  16.12.   |    | Consultations for the final assignment  | {{ :courses:b4m36san:clustering.zip | clustering_intro.zip}}| 
|  14        |  6.1.  |  AVL  | Clustering | {{:courses:b4m36san:advanced_clustering.zip |}}, {{:courses:b4m36san:spect_clust.pdf |}} |