105.693 Introduction to Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, UE, 1.5h, 2.0EC
This course is evaluated following the new mode. Learn more

Course evaluation

Properties

  • Semester hours: 1.5
  • Credits: 2.0
  • Type: UE Exercise

Learning outcomes

After successful completion of the course, students are able to: explain clearly concepts from probability and statistics, evaluate various quantities for probability distributions and random variables, perform statistical computations, and implement this in the statistical program R.

Subject of course

Classical point estimation (parametric and non-parametric methods), confidence estimation, statistical tests, linear models

Teaching methods

This course is an introductory statistics and probability theory course. Main concepts of the course will be presented in the lectures LV Nr. 105.692 and then will be practiced and deepened in the Exercise sessions LV Nr. 105.693. The focus is on methods and tools of descriptive and inferential statistics, core concepts of probability theory and implementation of the statistical analysis methods. 

Exercises will involve solving problems and the use of R for computation, simulation and visualization. You will need to bring your laptop during these sessions and to have installed R Studio on your computer. You will not be expected to use R to do any advance computer programming. No previous knowledge of R is necessary, the necessary learning outcomes for R are achieved within the framework of the VO and UE. The R software can be downloaded from the CRAN website

https://cran.r-project.org

Mode of examination

Immanent

Additional information

PLEASE NOTE: The exercise groups start in teaching week 2. You are required to register for one of the exercise groups listed below. Exercises will only take place at the times indicated below.

Lecturers

Institute

Examination modalities

Laufende Leistungskontrolle

Group dates

GroupDayTimeDateLocationDescription
Gruppe AThu08:00 - 10:0012.03.2020FH Hörsaal 3 105.693 Introduction to Mathematical Statistics Group 2
Gruppe BThu11:00 - 13:0012.03.2020Sem.R. DA grün 05 105.693 Introduction to Mathematical Statistics Group 2
Gruppe CThu08:00 - 09:4512.03.2020Sem.R. DA grün 03 A - mündl. Prüfungsraum Mathematik 105.693 Introduction to Mathematical Statistics Group 1

Course registration

Use Group Registration to register.

Group Registration

GroupRegistration FromTo
Gruppe A27.02.2020 08:0011.03.2020 16:00
Gruppe B27.02.2020 08:0011.03.2020 16:00
Gruppe C27.02.2020 08:0011.03.2020 16:00

Curricula

Literature

No lecture notes are available.

Previous knowledge

The understanding of basic probability theory, linear algebra and calculus is required. R is used throughout the course (in both VO and UE) and no prior knowledge of R is needed. 

Language

German