107.106 Statistical Computing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019S, VO, 2.0h, 3.0EC

TUWEL course

Properties

Semester hours: 2.0
Credits: 3.0
Type: VO Lecture

Aim of course

Solving data analysis problems using modern statistical software, turning new ideas and methodologies into software.

Subject of course

This lecture gives an introduction into statistical data analysis using modern computer methods with an emphasis on applied practical work. The topics include the statistical language R application of statistical models and tests using R graphical data visualization regression writing code in R development, packaging and documentation of software.

Additional information

The content will be practiced with excercices from the learning platform www.datacamp.com. For the duration of this course, every participant will receive unlimited access to learning material from this platform.

Lecturers

Filzmoser, Peter

Institute

E105 Institute of Statistics and Mathematical Methods in Economics

Course dates

Day	Time	Date	Location	Description
Tue	14:00 - 16:00	05.03.2019 - 25.06.2019	Hörsaal 6 - RPL	Vorlesung Filzmoser

Show single appointments

Statistical Computing - Single appointments

Day	Date	Time	Location	Description
Tue	05.03.2019	14:00 - 16:00	Hörsaal 6 - RPL	First meeting and lecture
Tue	12.03.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	19.03.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	26.03.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	02.04.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	09.04.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	30.04.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	07.05.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	14.05.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	21.05.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	28.05.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	04.06.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	18.06.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser
Tue	25.06.2019	14:00 - 16:00	Hörsaal 6 - RPL	Vorlesung Filzmoser

Examination modalities

Will be announced in the lecture.

Course registration

Begin	End	Deregistration end
26.02.2019 12:00	16.03.2019 12:00	16.03.2019 12:00

Curricula

Study Code	Obligation	Semester	Precon.
033 203 Statistics and Mathematics in Economics	Not specified
033 531 Data Engineering & Statistics	Mandatory	3. Semester
033 533 Medical Informatics	Mandatory elective		Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering	Mandatory elective		Course requires the completion of the introductory and orientation phase
066 645 Data Science	Mandatory	2. Semester
860 GW Optional Courses - Technical Mathematics	Not specified

Literature

All related documents will be available at the online lecture.

Miscellaneous

Course homepage

Language

if required in English