Home (CZ)  Teaching (CZ)  NMST552 
Rko (CZ) 
Lectures:  Tuesday 11:30 in K1  
Tuesday 13:10 in K1  
Exercise class (SN):  Tuesday 17:20 in K4  (Mgr. Stanislav Nagy, Ph.D.) 
Exercise class (MM1):  Thursday 15:40 in K4  (RNDr. Matúš Maciak, Ph.D.) 
Exercise class (MM2):  Thursday 17:20 in K11  (RNDr. Matúš Maciak, Ph.D.) 
If allowed by PANdemIC measures, the lecture proceeds in a lecture room by combination of slides projection and blackboard writing. More information will be provided during the first lecture. The slides and the course notes ("skripta") for the whole semester are available below. Nevertheless, do not print (if you want to print it) too many pages in advance. Both slides and notes are subject to (smaller) changes and/or corrections during the semester without further notice.
Notes (PDF)  last update 02/09/2021 
Slides (PDF)  last update 02/09/2021 
This course closely follows the bachelor study branch General Mathematics and especially its subbranch Stochastics. The course hence builds upon decent knowledge of a classical mathematical thinking (theorem, proof, ...), knowledge acquired during very basic courses (mathematical analysis, linear algebra, ...) and also on intermediate knowledge of probability theory and mathematical statistics. The most important areas of general mathematics and mathematical statistics which are unavoidable to be able to follow this course include:
This course is not a cookbook course on linear regression and it does not make much sense to follow it without having a knowledge described above.
All information related to the exercise classes is (will be) available at the central exercise classes webpage.
Exercise classes are synchronized. Content of the classes held in the same week is approximately the same.
The course is supplemented by the R package mffSM which contains example datasets used throughout the course and few additional small functions related to processing of the linear model fit. Upon download (from the link below, not from CRAN), the package can be installed in R in a standard way (``from a local repository''). Windows binary file is intended for the MS Windows users (as the title suggests), the source code is intended for users of other (mostly more reliable) operating systems where it is a standard to compile the package from its source (Linux, Mac etc.). The mffSM package depends on packages colorspace, lattice, car, which are available in a standard way from CRAN. All those dependency packages should normally be automatically installed if the installation of the mffSM package is performed directly from the R console on an Internetconnected computer using the command (its appropriately modified analogy):
install.packages("PATH_WHERE_DOWNLOADED/mffSM_1.1.[tar.gz,zip]", repos = NULL)Source code:  mffSM_1.1.tar.gz 
Windows binary:  mffSM_1.1.zip 
R tutorials show the R analyses that are based on theory given during the lectures. They also provide the code used to prepare majority of the output/plots that is used during the lectures as illustrations. The R tutorials may serve as a reference for the assignments performed during the exercise classes or required in homeworks.
The R scripts provided below assume that the content of the .Rprofile is sourced at start.
