222.587 Statistics for Environmental Engineering
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 1.5h, 2.0EC

Properties

  • Semester hours: 1.5
  • Credits: 2.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

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

  • analyse environmental data with statistical methods and independently process these data,
  • develop and implement an algorithm for simple tasks,
  • summarise and visualise data,
  • explain fundamental concepts of statistics
  • apply adequate tests for the statistical evaluation of specific given hypotheses
  • use the programming language R
  • independently develop, apply and evaluate solutions

Subject of course

Lectures:

  1. random variables and distributions
  2. estimation
  3. hypothesis tests
  4. multivariate random variables and methods
  5. non-parametric methods
  6. experimental design

Exercises:

  • R and Rstudio - installation and surface
  • R as calculator
  • variables (continuous, discrete - binary)
  • calculate with variables
  • functions
  • import data sets
  • estimation
  • distributions
  • visualization
  • Implementation and interpretation of statistical analysis in R

Teaching methods

  • Lectures (in presence)
  • Videos with demonstation of programming and statistical analysis in R (on TUWEL)
  • Programming of simple and complex tasks in R (home exercises)

The organisation of the exercises part will be explained in detail in an introductory lecture on 1st March 2022 and will also described in slides available on TUWEL.

Mode of examination

Written

Additional information

The course is held in hybrid mode, consisting of a mix of lectures in presence, videos and submission of homework via TUWEL as well as handover talks and question sessions in presence.

If, due to the requirements of the federal government or the TU Wien, it is not possible to hold the course and the examination or parts of the course in attendance, the format will be switched to online. By switching to the online format, the dates announced for the face-to-face course and examination may change. When switching to the online format, the following methods and modes apply:

Method when switching to online format:

Videos

Exam mode when switching to online format:

Written (Zoom Meeting)

Assessment scheme for the online exam:

See “exam modalities”; no change by switching to online format

Required technical equipment for participation in the course and examination:

Device with internet access (notebook, PC, tablet, smartphone)

Certificate of achievement:

See “exam modalities”; no change by switching to online format

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue11:00 - 13:0007.03.2023 - 27.06.2023EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Statistics for Environmental Engineering - Single appointments
DayDateTimeLocationDescription
Tue07.03.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue14.03.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue21.03.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue28.03.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue18.04.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue25.04.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue02.05.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue09.05.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue16.05.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue23.05.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue06.06.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue13.06.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue20.06.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW
Tue27.06.202311:00 - 13:00EI 10 Fritz Paschke HS - UIW 222.587 Statistik für UIW

Examination modalities

Examination modalities are based on tests and submitted programme codes.
Both the exam on the lecture part as well as the exercises have to be positive in order to successfully complete the course.

The exam part consisting of exercises in R must be succesfully completed within the course and must be positive in order to access to the written exam on the lectures.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed10:00 - 12:0014.12.2022Seminarraum AD 03 - 1 written05.09.2022 08:00 - 07.12.2022 20:00TISSPrüfung 14.12.2022
Wed10:00 - 12:0018.01.2023Seminarraum AD 03 - 1 written05.09.2022 08:00 - 11.01.2023 20:00TISSPrüfung 18.01.2022

Course registration

Begin End Deregistration end
01.02.2023 10:00 24.02.2023 23:00

Curricula

Study CodeSemesterPrecon.Info
033 266 Environmental Engineering 4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

W. Gurker: Introduction to Mathematical Statistics using R, TU-Verlag, Wien.

Previous knowledge

Mathematics 1 and 2

Language

German