{{ :courses:b4m36san:san_regression.pdf |}}==== Lectures and Tutorials =====

==== Lectures =====

^  L  ^  Date^  Lecturer  ^  Contents  ^  Materials   ^
|  1         |  1.10.  |  JK  | Introduction, course map, review of the basic stat terms/methods.  | {{:courses:b4m36san:san_intro.pdf |SAN_intro}}, {{:courses:b4m36san:skulls.zip}} |
|  2         |  8.10.  |  JK  | Dimension reduction (PCA and kernel PCA).  | {{:courses:b4m36san:dimreduction.pdf|SAN_dimred}} |
|  3         |  15.10.  |  JK  | Dimension reduction (other non-linear methods).  | see the previous slides |
|  4         |  22.10.  |  JK  | Clustering (formalism, k-means, EM GMM, hierarchical). | {{:courses:b4m36san:san_clustering.pdf|SAN_clustering}} |
|  5         |  29.10.  |  JK  | Clustering (spectral clustering). | {{:courses:b4m36san:san_clustering_pokr.pdf|SAN_spect_clutering}} |
|  6         |  5.11.  |  JK  | Multivariate confirmation analysis (ANOVA and MANOVA). | {{:courses:b4m36san:san_manova.pdf|SAN_manova}},{{:courses:b4m36san:alloy.zip|}} |
|  7          |  12.11. |  JK  | Multivariate regression (continuous dependent variable, linear regression, p-values, overfitting).  | {{:courses:b4m36san:san_regression.pdf|SAN_regression}} |
|  8         |  19.11.   |  JK  | Multivariate regression (non-linear models, polynomial and local regression). | {{:courses:b4m36san:san_nonlin_regression.pdf|SAN_nonlin_regression}} |
|  9         |  26.11.  |  JK  | Discriminant analysis (categorical dependent variable, LDA, logistic regression).  | {{:courses:b4m36san:san_discriminant_short.pdf|SAN_discriminant}} |
|  10        |  3.12.  |  TP  | Robust statistics.  | {{:courses:b4m36san:robust.pdf|SAN_robust}}|    
|  11         |  10.12.  |  TP  | Anomaly detection.  | {{ :courses:b4m36san:san_anomaly.pdf |SAN_anomaly_detect}} |    
|  12        |  17.12. |  ZM   | Empirical studies, their design and evaluation.  | {{{{ :courses:b4m36san:san_12_empirical_studies-v03.pdf|SAN_emp_studies}}  |   
|  13        | 7.1.  |  ZM  | Power analysis.  | {{{{:courses:b4m36san:san_lecture14_evaluation_and_power_analysis-v03.pdf|SAN_power_analysis}}  |

==== Tutorials =====

^ T ^  Date  ^ Teacher   ^ Contents ^  Materials   ^                             
|  1         |  1.10.  |  FM  | Programming in R, introduction.  | {{:courses:b4m36san:1_cv_san.zip}} |
|  2         |  8.10.  |  FM  | R libraries, statistical packages, learning package Swirl.  | {{:courses:b4m36san:2_cv_san.zip}} |
|  3         |  15.10.  |  FM  | Data visualization in R.  | {{:courses:b4m36san:3_cv_san.zip}} |
|  4         |  22.10.  |  FM  | Dimension reduction – assignment.| {{:courses:b4m36san:4_cv_san.zip}} |
|  5         |  29.10.  |  FM  | Clustering – assignment. | {{:courses:b4m36san:5_cv_san.zip}} |
|  6         |  5.11.  |  FM  | Multivariate confirmation analysis – assignment. Deadline 19.11. | {{:courses:b4m36san:6_cv_san.zip}} |
|  7          |  12.11. |  JB  | Multivariate linear regression – assignment. Deadline 27.11.| {{ :courses:b4m36san:7_cv_san_2018.zip |}} {{ :courses:b4m36san:5_uloha_2018.pdf |}}|
|  8         |  19.11.   |  FM, JB  | Mid-term test.  | {{ :courses:b4m36san:datasets.zip |}} {{ :courses:b4m36san:datasets2.zip |}}|
|  9         |  26.11.  |  JB  | Multivariate non-linear regression – assignment.  | {{ :courses:b4m36san:9_cv_san.zip |}}  |    
|  10         | 3.12.  |  JB  | Discriminant analysis – assignment.  | {{ :courses:b4m36san:10_cv_san.zip |}} [[http://courses.cs.tamu.edu/rgutier/cs790_w02/l6.pdf|LDA derivation for Dimensionality reduction]] |
|  11        |  10.12.  |  TP  | Anomaly detection – assignment.  |{{ :courses:b4m36san:anomaly.pdf |}} {{ :courses:b4m36san:anomaly-problems.zip |}}|    
|  12        |  17.12.   |  ZM  | Empirical study design – assignment.  | {{:courses:b4m36san:san_12_empirical_studies_practice-v03.pdf}} |   
|  13        |  7.1.  |  ZM  | Power analysis  – assignment.  | {{{{ :courses:b4m36san:san_practice14_evaluation_and_power_analysis-v03.pdf}} |