MIDNIGHT IN MALA STUDENA DOLINA, HIGH TATRA MOUNTAINS | Copyright © Matúš Maciak


(NMSA 407)   Linear regression

Lectures: doc. RNDr. Arnošt Komárek, Ph.D.

Lab sessions: Po: 09:00 - 10:30 @K11 (lecturer: Matúš Maciak)
Tu: 12:20 - 13:50 @K11 (lecturer: Matúš Maciak)
Th: 10:40 - 12:10 @K4 (lecturer: Stanislav Nagy)


General Information
There are three 'parallel' sessions held in the winter semester 2018/2019. These three sessions are synchronized in order to cover the same topics and mostly the content of the classes held in the same week will be approximately the same but, not necessarily as it also may depend on holidays and days off. Students are, however, required to attend the session for which they are subscribed in SIS.

For most of the classes students will be required to work with the provided computers (lecture rooms K4 or K11) or with their own laptops with the statistical software R installed on them.



Credit Requirements
The credit requirements for the NMSA407 exercises are split into two main parts:

More details regarding the lab session credit and the homework assignments as well as the final test can be found in the NMSA 407 Outline.



Syllabus & Script Files
The syllabus will be updated as the semester progresses. The R script files provided below will be discussed during the sessions and they will discussed and explained correspondingly (focussion on theory, not the implementation of the R commands themselves). Thus, all students are expected to be familiar with R and to be able to handle R programming by themselves.



Supplementary Material
Some additional material (final test examples, brief theory on maximum likelihood estimation, etc.) can be found here.



Homework Assignments
There will be three homework assignments during the term. Each homework assignment can be worked out in a group of 1-3 students and different groups can be formed for different homework assignments.



Final test results