107.369 Statistics and Probability Theory
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, UE, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to: 

  • Use basic counting techniques (multiplication rule, combinations, permutations) to compute probability. 
  • Compute conditional probabilities directly and using the Bayes theorem, and check for independence of events.
  • Set up and work with discrete random variables. In particular, understand the Bernoulli, binomial, geometric and Poisson distributions.
  • Work with continuous random variables. In particular, know the properties of uniform, normal and exponential distributions.
  • Know what expectation and variance mean and compute them.
  • Understand the law of large numbers and the central limit theorem.
  • Compute and interpret descriptive statistics and plots.
  • Compute confidence intervals for estimators.
  • Carry out  and interpret hypothesis testing (t-tests, ANOVA, chi^2-test, frequncies), and compute and interpret the p-value.
  • Compute and interpret the correlation between two variables.
  • Compute and interpret univariate linear regression models.
  • Use statistical software R to implement the statistical analysis methods covered in the course.

Subject of course

  • Probability theory: discrete and continuous random variables, expectation and variance, independence, correlation between two random variables, central limit theorem, law of large numbers
  • Descriptive statistics: elementary statistics, numerical summaries, empirical distribution, graphical summaries (histograms, boxplots, scatterplots).
  • Inferential statistics: confidence intervals, hypothesis testing (t-tests, ANOVA, chi^2-tests, proportions), the p-value for these tests
  • Linear regression (correlation, simple linear model, regression line). 

Particular attention is paid to the use of statistical software R to implement the statistical analysis. For more details please see LV 107.254.

Teaching methods

Main concepts of the course will be presented in the lectures LV Nr. 107.254 and then will be practiced and deepened in the Exercise sessions LV Nr. 107.369. Exercise sessions will involve solving problems and the use of R for computation, simulation and visualization. The focus is on methods of descriptive and inferential statistics, core concepts of probability theory and implementation of the statistical analysis methods.

Mode of examination

Immanent

Additional information

For students of Informatics. 

Requirements for participation:

  1. Registration in the course via the corresponding TISS page within the registration period.
  2. Successful completion of STEOP.
  3. Basic knowledge of linear Algebra and Calculus.

Please note, the exercise groups start in week 2, TUE 06.10.2020.

Please note that the exercises will be held online. Detailed description and plan can be found in TUWEL.

The lecture & exercises (Statistics and Probability Theory) are offered both in the summer and winter semester.

Lecturers

Institute

Examination modalities

Ongoing performance control

Group dates

GroupDayTimeDateLocationDescription
Gruppe 1 - 12:00 (GM3)Tue12:00 - 14:0013.10.2020 - 26.01.2021GM 3 Vortmann Hörsaal - VT UE Statistik und Wahrscheinlichkeitstheorie
Gruppe 2 - 14:00 (GM3)Tue14:00 - 16:0006.10.2020 - 26.01.2021GM 3 Vortmann Hörsaal - VT Statistik und Wahrscheinlichkeitstheorie
Gruppe 3 - 14:00 (HS 14A)Tue14:00 - 16:0013.10.2020 - 26.01.2021HS 14A Günther Feuerstein Statistik und Wahrscheinlichkeitstheorie
Gruppe 4 - 14:00 (DA06A)Tue14:00 - 16:0013.10.2020 - 26.01.2021Sem.R. DA grün 06A Statistik und Wahrscheinlichkeitstheorie
Gruppe 5 - 14:00 (El 11)Tue14:00 - 16:0013.10.2020 - 26.01.2021EI 11 Geodäsie HS 107.369 UE Statistics and Probability Theory - Gruppe 5 - 14:00 (El 11)
Gruppe 6 - 15:00 (HS 15)Tue15:00 - 17:0013.10.2020 - 26.01.2021Hörsaal 15 Statistik und Wahrscheinlichkeitstheorie
Gruppe 7 - 16:00 (HS 14A)Tue16:00 - 18:0013.10.2020 - 26.01.2021HS 14A Günther Feuerstein Statistik und Wahrscheinlichkeitstheorie
Gruppe 8 - 16:00 (FH HS7)Tue16:00 - 18:0013.10.2020 - 26.01.2021FH Hörsaal 7 - GEO 107.369 Statistics and Probability Theory Gruppe 10 - 16:00 (FH HS7)
Gruppe 9- 16:00Tue16:00 - 18:0006.10.2020 - 26.01.2021HS 13 Ernst Melan - RPL 107.369 Statistics and Probability Theory Gruppe 9- 16:00
Gruppe 10-12:00Tue12:00 - 14:0013.10.2020 - 26.01.2021Sem.R. DA grün 06A 107.369 Statistics and Probability Theory
Gruppe 11-16:00Tue16:00 - 18:0006.10.2020 - 26.01.2021Sem.R. DB gelb 09 107.369 Statistics and Probability Theory Gruppe 11-16:00
Gruppe 12-12:00Tue12:00 - 14:0006.10.2020 - 26.01.2021Seminarraum 202 107.369 UE Statistics and Probability Theory - Gruppe 12-12:00
Gruppe 13-14:00Tue14:00 - 16:0006.10.2020 - 26.01.2021Sem 389 107.369 Statistics and Probability Theory Gruppe 13-14:00

Course registration

Begin End Deregistration end
08.09.2020 07:00 20.09.2020 18:00 24.09.2020 18:00

Group Registration

GroupRegistration FromTo
Gruppe 1 - 12:00 (GM3)31.08.2020 07:0020.09.2020 18:00
Gruppe 2 - 14:00 (GM3)31.08.2020 07:0020.09.2020 18:00
Gruppe 3 - 14:00 (HS 14A)31.08.2020 07:0020.09.2020 18:00
Gruppe 4 - 14:00 (DA06A)31.08.2020 07:0020.09.2020 18:00
Gruppe 5 - 14:00 (El 11)31.08.2020 07:0020.09.2020 18:00
Gruppe 6 - 15:00 (HS 15)31.08.2020 07:0020.09.2020 18:00
Gruppe 7 - 16:00 (HS 14A)31.08.2020 07:0020.09.2020 18:00
Gruppe 8 - 16:00 (FH HS7)31.08.2020 07:0020.09.2020 18:00
Gruppe 9- 16:0031.08.2020 07:0020.09.2020 18:00
Gruppe 10-12:0031.08.2020 07:0020.09.2020 18:00
Gruppe 11-16:0031.08.2020 12:0020.09.2020 18:00
Gruppe 12-12:0031.08.2020 12:0020.09.2020 18:00
Gruppe 13-14:0031.08.2020 07:0020.09.2020 18:00

Curricula

Study CodeSemesterPrecon.Info
033 526 Business Informatics 3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
033 532 Media Informatics and Visual Computing 3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
033 533 Medical Informatics 5. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering 3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
884 Subject: Informatics und Informatics Management 5. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Previous knowledge

see above (requirements)

Accompanying courses

Miscellaneous

  • Attendance Required!

Language

English