(NMSA 407)   Linear regression

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

Lab sessions: Tu: 12:20 - 13:50 @K4 (lecturer: Matúš Maciak)
Tu: 14:00 - 15:30 @K11 (lecturer: Stanislav Nagy)
Th: 09:40 - 10:30 @K4 (lecturer: Matúš Maciak)

General Information
Three 'parallel' sessions, all in English language, are taking place in the winter term 2019/2020. Each student attending one of these sessions is expected to be officially enrolled for the corresponding session in SIS. Any exceptions must be discussed and agreed with both lecturers. 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.

For most of the classes the students will be required to work with the provided computers (lecture rooms K4 or K11). Alternatively, each student can use his/her own laptop if the statistical software R is installed on it. Additional R libraries will be needed too, therefore, the students using their own laptops should either have the corresponding libraries already installed on their laptops or the laptops should be connected to internet. The eduroam network is available in both lecture rooms.

Credit Requirements
The credit requirements for the NMSA407 exercises consist of two main parts.

More details about the credit requirements, the homework assignments, and the final test can be found in the NMSA 407 Outline document.

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 evaluated with the R software and explained correspondingly (with a focuss on the statistical theory behind, 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
Additional material (final test examples, a brief theory on the maximum likelihood estimation, etc.) can be found here. The supplementary matrial will be updated during the semester.

Homework Assignments
All together, there will be three homework assignments. Each homework assignment can be worked out in a group of 1--3 students and different groups can be formed for different homework assignments. Groups of three students are preferable. For more details about the homework assignments see the NMSA 407 Outline document.

Final test results

Vrámci platných Pravidiel pro organizaci studia na Matematicko-fyzikální fakultě Univerzity Karlovy (ze dne 14.června, 2017), sa vzhľadom k Čl. 8, dds.2 týchto pravidiel týmto vyhlasuje, že povaha předmětu vylučuje právo studenta na jeden řádny a dva opravné termíny pro získaní zápočtu. Získaní zápočtu sa riadi výhradne pravidlami uvedenými vyššie a detailne popisanými v tomto NMSA 407 outline documente.