==== 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). | {{ :courses:b4m36san:san_intro_noskulls.pdf |SAN_intro}}, {{:courses:b4m36san:san_regression.pdf|SAN_regression}}, [[https://drive.google.com/file/d/1x3qczf_rfSJdcc6hepvFsEbzmQ8fHcpH/view?usp=sharing|SAN_regression_video]] |
|  2         |  27.9.  |  JK  | Multivariate regression (overfitting, model shrinkage).  | see the previous slides, [[https://drive.google.com/file/d/1_7CtyzaGzY9rTuzyaS-ncoStmFA2eMTs/view?usp=sharing|SAN_shrinkage_video]] |
|  3         |  4.10.  |  JK  | Nonlinear regression (polynomial regression, splines, local regression). | {{:courses:b4m36san:san_nonlin_regression.pdf|SAN_nlin_regression}}, [[https://drive.google.com/file/d/1_4imy5V19Pn8YboB5pcz3oFTSWXQuQ8Z/view?usp=sharing|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). | {{ :courses:b4m36san:san_manova_2020.pdf|SAN_manova}}, [[https://drive.google.com/file/d/1IEc5yjfN8tvC06UuItwfj4iyeiEo_x-H/view?usp=sharing|SAN_anova_video]]  | 
|  6         |  25.10.  |  JK  | Multivariate confirmation analysis (MANOVA). | see the previous slides, [[https://drive.google.com/file/d/1SVxYbHvUYA6AEqBsir_h8B8d7XxrqLy_/view?usp=sharing|SAN_manova_video]]  | 
|  7          |  1.11. |  JK  | Discriminant analysis (categorical dependent variable, LDA, logistic regression).  | {{ :courses:b4m36san:san_discriminant.pdf |SAN_discriminant}}, [[https://drive.google.com/file/d/1qHUsQxsTk7WJfcHpzVxmpguBLx0-rWsw/view?usp=sharing|SAN_disc_dimred_video]] | 
|  8         |  8.11.   |  JK  | Dimension reduction (PCA and kernel PCA).  | {{:courses:b4m36san:dimred_2020.pdf|SAN_dimred}}, [[https://drive.google.com/file/d/1vLCvPyQ1P17n1mqiUNm52rzvdU-bZAoD/view?usp=sharing|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.  | {{ :courses:b4m36san:robust.pdf |SAN_robust}}, [[https://www.youtube.com/watch?v=lzUWyfxbVmg&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=1|SAN_robust_video]] | 
|  11         |  29.11.  |  ZM  | Empirical studies, their design and evaluation. Power analysis. | {{ :courses:b4m36san:san_lecture12_studies_and_power_analysis-v06.pdf|SAN_emp_studies_power_analysis}}| 
|  12        |  6.12. |  TP  | Anomaly detection.  | {{:courses:b4m36san:san_anomaly.pdf | Anomaly}}, [[https://www.youtube.com/watch?v=oxIhNGZBzt4&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=2|SAN_anomaly_video]] |   
|  13        | 13.12.  |  JK  | Clustering (formalism, k-means, EM GMM, hierarchical). | {{ :courses:b4m36san:san_clustering.pdf |SAN_clustering}}, [[https://www.youtube.com/watch?v=QBVPz9M8y6I&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=3|SAN_clustering_video]] |
|  14        | 3.1.  |  JK  | Clustering (spectral clustering). | {{:courses:b4m36san:san_clustering_pokr_short.pdf|SAN_spect_clustering}}, [[https://www.youtube.com/watch?v=DtPrJIdvHfU&list=PLQL6z4JeTTQktK3Hkgq3xggOtvydBEPYU&index=4|SAN_spect_clustering_video]] |

==== Tutorials =====

^ T ^  Date  ^ Teacher   ^ Contents ^  Materials   ^                             
|  1         |  20.9.  |  AVL  | Programming in R, introduction, dplyr basics.  | {{ :courses:b4m36san:lab1.zip | lab1.zip}} {{ :courses:b4m36san:r.pptx | R.pptx }}  |
|  2         |  27.9.  |  AVL  | Basic statistics in R, data visualization in R.  | {{ :courses:b4m36san:lab2.zip | lab2.zip}} {{:courses:b4m36san:statistics_and_visualization.pptx | Statistics and visualization.pptx}} |
|  3         |  4.10.  |  AVL  | Linear regression | {{ :courses:b4m36san:lab3.zip | lab3.zip}} {{:courses:b4m36san:linear_regression.pptx | Linear regression.pptx}} |
|  4         |  11.10.  |  AVL  | Multivariate linear regression | {{ :courses:b4m36san:lab4.zip | lab4.zip}} {{ :courses:b4m36san:demo_exam_question_linreg.pdf | demo_exam_question_linreg.pdf }}|
|  5         |  18.10.  |  AVL  | Multivariate non-linear regression  | {{ :courses:b4m36san:lab5.zip | lab5.zip}} {{ :courses:b4m36san:assignment1.zip |}} {{ :courses:b4m36san:linear_regression3.pptx | Linear regression 3.pptx}}  {{ :courses:b4m36san:SAN_linreg_solved.pdf |}} |
|  6         |  25.10.  |  AVL  | Multivariate confirmation analysis | {{ :courses:b4m36san:lab6.zip |}} {{ :courses:b4m36san:assignment2.zip |}} {{ :courses:b4m36san:SAN_anova_solved.pdf |}} {{ :courses:b4m36san:anova.pptx | ANOVA.pptx}}| 
|  7         |  1.11.  |  AVL  | Discriminant analysis  |{{ :courses:b4m36san:lab7.zip |}} {{ :courses:b4m36san:assignment3_lda.zip |}} {{ :courses:b4m36san:lda_lr.pptx | LDA_LR.pptx}} |
|  8          |  8.11. |  AVL  | Mid-term test  | |
|  9         |  15.11.   |  AVL  | Dimension reduction  | {{:courses:b4m36san:lab8.zip | lab8.zip}}, {{ :courses:b4m36san:assignment4-dimred.zip |}} {{ :courses:b4m36san:Dimred.pptx | Dimensionality reduction.pptx}}   {{ :courses:b4m36san:SAN_solved3.pdf | SAN_solved.pdf}} |
|  10         |  22.11.  |  TP  | Robust statistics  |{{ :courses:b4m36san:instruction.pdf |}} |
|  11         | 29.11.  |  ZM  | Empirical study design, power analysis  | {{:courses:b4m36san:san_practice_hci_experiment_evaluation_and_power_analysis-v03.pdf | empirical_study}} {{courses:b4m36san:san2021_hci_experiment_measured_values.xlsx | experiment_data}} |  
|  12        |  6.12.  |  TP  | Anomaly detection – assignment.  | {{ :courses:b4m36san:anomaly2.pdf |}} {{ :courses:b4m36san:anomaly-problems.zip |}}|
|  13        |  13.12.   |    | Consultations for the final assignment  | | 
|  14        |  3.1.  |  AVL  | Clustering | {{:courses:b4m36san:lab12.zip |}} {{ :courses:b4m36san:SAN_solved.pdf | SAN_solved.pdf}}|