107.A03 Data analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VU, 2.0h, 3.0EC
Lecture TubeTUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to

  • understand theoretical and practical concepts of important exploratory data analysis techniques
  • understand the strengths and weaknesses of the different statistical methods and tools

Subject of course

sampling design, statistical sampling design, elements of exploratory data analysis,

basics of parametric, non-parametric and robust procedures, linear models,

introduction to multivariate statistical methods, introduction to time series analysis

Teaching methods

Examples with data, software environment R

Mode of examination

Written and oral

Additional information

Please, register via TISS!

There are computer exercises, and the material is available in TUWEL.
Your registration data are taken directly from TISS.

 Due to the COVID infection situation, there may be changes in the holding mode.

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 15:0002.03.2022 - 29.06.2022GM 5 Praktikum HS- TCH Vorlesung
Data analysis - Single appointments
DayDateTimeLocationDescription
Wed02.03.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed09.03.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed16.03.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed23.03.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed30.03.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed06.04.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed27.04.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed04.05.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed11.05.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed18.05.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed25.05.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed01.06.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed08.06.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed15.06.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed22.06.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung
Wed29.06.202213:00 - 15:00GM 5 Praktikum HS- TCH Vorlesung

Examination modalities

Solving examples in R, oral exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon09:00 - 14:0017.10.2022Sem.R. DA grün 02 C written&oral23.08.2022 12:00 - 15.10.2022 23:59TISSOral Presence Exam Datenanalyse
Mon09:00 - 14:0007.11.2022Sem.R. DA grün 02 C written&oral04.10.2022 16:00 - 05.11.2022 23:59TISSOral Presence Exam Datenanalyse

Course registration

Begin End Deregistration end
01.02.2022 06:00 27.03.2022 12:00 27.03.2022 12:00

Curricula

Study CodeSemesterPrecon.Info
033 526 Business Informatics 4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
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
045 006 Digital Skills STEOP
Course requires the completion of the introductory and orientation phase
066 645 Data Science STEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Language

German