325.062 Stochastics
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, VU, 2.0h, 2.5EC

Properties

  • Semester hours: 2.0
  • Credits: 2.5
  • Type: VU Lecture and Exercise

Aim of course

Knowledge of the theory of the topics named below, as far as they are relevant for the application oriented use in engineering sciences. Knowledge on mathematical methods of the topics named below to solve problems in engineering sciences. Routine will be gained by exercising on application oriented examples. Competence to autonomosly acquire advanced mathematical tools of engineering sciences. Self-contained acquiring of knowledge and self-organisation for solving tasks.

Subject of course

  • Fundamentals of Chance
  • Estimation of parameters, confidence intervals, and hypothesis tests
  • Analysis of variance (ANOVA)
  • Regression analysis

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed10:00 - 12:0006.03.2019 - 26.06.2019FH Hörsaal 1 - MWB Stochastics VU
Thu09:00 - 12:0016.05.2019FH Hörsaal 5 - TPH Tutorium, 1. Test
Fri14:00 - 17:0017.05.2019FH Hörsaal 5 - TPH Tutorium, 1. Test
Mon09:00 - 12:0020.05.2019FH Hörsaal 3 - MATH Tutorium, 1. Test
Mon16:00 - 19:0020.05.2019HS 7 Schütte-Lihotzky BI Tutorium, 1. Test
Thu14:00 - 17:0013.06.2019HS 7 Schütte-Lihotzky BI Tutorium, 2. Test
Fri09:00 - 12:0014.06.2019HS 13 Ernst Melan - RPL Tutorium, 2. Test
Mon09:00 - 12:0017.06.2019FH Hörsaal 3 - MATH Tutorium, 2. Test
Mon11:00 - 14:0017.06.2019HS 13 Ernst Melan - RPL Tutorium, 2. Test
Fri09:00 - 11:0028.06.2019Seminarraum BA 05 Testeinsicht (Anmeldung via TUWEL!)
Stochastics - Single appointments
DayDateTimeLocationDescription
Wed06.03.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed13.03.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed20.03.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed27.03.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed03.04.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed10.04.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed08.05.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed15.05.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Thu16.05.201909:00 - 12:00FH Hörsaal 5 - TPH Tutorium, 1. Test
Fri17.05.201914:00 - 17:00FH Hörsaal 5 - TPH Tutorium, 1. Test
Mon20.05.201909:00 - 12:00FH Hörsaal 3 - MATH Tutorium, 1. Test
Mon20.05.201916:00 - 19:00HS 7 Schütte-Lihotzky BI Tutorium, 1. Test
Wed29.05.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed05.06.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Wed12.06.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU
Thu13.06.201914:00 - 17:00HS 7 Schütte-Lihotzky BI Tutorium, 2. Test
Fri14.06.201909:00 - 12:00HS 13 Ernst Melan - RPL Tutorium, 2. Test
Mon17.06.201909:00 - 12:00FH Hörsaal 3 - MATH Tutorium, 2. Test
Mon17.06.201911:00 - 14:00HS 13 Ernst Melan - RPL Tutorium, 2. Test
Wed19.06.201910:00 - 12:00FH Hörsaal 1 - MWB Stochastics VU

Examination modalities

This course is graded via immanent examination. Three compulsory written tests constitute the final grading (proportions: 1st test 50%, 2nd test 50%).

Additional minimum requirement: Each of the two written test results must be a minimum of 25 % of the maximum test points in order to have an overall positive result! This rule also applies to the repetition test.

If the overall result of the two tests is negative (due to a missed or negative written test), that test with the smaller number of points can be repeated (repetition test) at the end of the term.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu - 24.09.2020written01.09.2020 09:00 - 23.09.2020 09:00TISSWiederholungstest Paralleltermin

Course registration

Begin End Deregistration end
11.02.2019 00:00 14.05.2019 23:59 14.05.2019 23:59

Curricula

Literature

Complete lecture notes including examples, formulas and statistical tables are available for a service charge.

Previous knowledge

  • Knowledge of theory in the topics of differential- and integral algebra in one variable
  • Ability to solve applied problems in differential- and integral algebra in one variable
  • Ability to solve problems in linear algebra
  • Ability to autonomously organize the necessary learning conditions and to solve problems with the tools supplied in the course

Language

German