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

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

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 16:0005.03.2019 - 25.06.2019Hörsaal 6 Vorlesung Filzmoser
Statistical Computing - Single appointments
DayDateTimeLocationDescription
Tue05.03.201914:00 - 16:00Hörsaal 6 First meeting and lecture
Tue12.03.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue19.03.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue26.03.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue02.04.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue09.04.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue30.04.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue07.05.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue14.05.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue21.05.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue28.05.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue04.06.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue18.06.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue25.06.201914:00 - 16:00Hörsaal 6 Vorlesung Filzmoser

Examination modalities

Will be announced in the lecture.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue - 18.02.2020oral06.01.2020 09:00 - 16.02.2020 09:00TISSStatComp1

Course registration

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

Curricula

Study CodeSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics
033 531 Data Engineering & Statistics 3. Semester
033 533 Medical Informatics STEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering STEOP
Course requires the completion of the introductory and orientation phase
066 645 Data Science 2. Semester
860 GW Optional Courses - Technical Mathematics

Literature

All related documents will be available at the online lecture.

Miscellaneous

Language

if required in English