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2022S, VU, 2.0h, 2.5EC

## Properties

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

## Learning outcomes

After successful completion of the course, students are able to

- compute probabilities of combined events and conditional probabilities,

- use important distribution functions for solving simple problems,

- estimate parameters (mean value, variance) of a population and their confidence intervals based on empirically collected sample data,

- apply hypothesis testing in order to correctly test claims regarding a characteristic of a population,

- use simple analysis of variance and linear regression to systematically process measured data and to see order in seeming chaos.

## Subject of course

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

## Teaching methods

Explanation of basic notions, derivation of the governing equations, treatment of examples, discussion of case studies

Immanent

## Course dates

DayTimeDateLocationDescription
Wed10:00 - 12:0002.03.2022 - 22.06.2022FH Hörsaal 1 - MWB Vorlesung
Fri14:00 - 15:3017.06.2022HS 18 Czuber - MB Tutorensprechstunde
Stochastics - Single appointments
DayDateTimeLocationDescription
Wed02.03.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed09.03.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed16.03.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed23.03.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed30.03.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed06.04.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed27.04.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed04.05.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed11.05.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed18.05.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed25.05.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed01.06.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed08.06.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Wed15.06.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung
Fri17.06.202214:00 - 15:30HS 18 Czuber - MB Tutorensprechstunde
Wed22.06.202210:00 - 12:00FH Hörsaal 1 - MWB Vorlesung

## 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
Tue16:00 - 18:0004.10.2022 Die genaue HS-Einteilung wird noch bekannt gegebenassessed19.09.2022 08:00 - 03.10.2022 09:00TISSWiederholungstest (1. Test)
Tue16:00 - 18:0004.10.2022FH 8 Nöbauer HS - MATH writtenno application-Wiederholungstest (2. Test)
Tue16:00 - 18:0004.10.2022FH Hörsaal 1 - MWB writtenno application-Wiederholungstest (2. Test)
Tue16:00 - 18:0004.10.2022GM 2 Radinger Hörsaal - TCH writtenno application-Wiederholungstest (2. Test)
Fri14:00 - 16:0012.05.2023GM 1 Audi. Max.- ARCH-INF assessed27.02.2023 00:00 - 24.05.2023 10:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0012.05.2023EI 7 Hörsaal - ETIT assessed27.02.2023 00:00 - 24.05.2023 10:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0012.05.2023FH Hörsaal 1 - MWB assessed27.02.2023 00:00 - 24.05.2023 10:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0012.05.2023Informatikhörsaal - ARCH-INF assessed27.02.2023 00:00 - 24.05.2023 10:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0016.06.2023EI 7 Hörsaal - ETIT assessed01.05.2023 00:00 - 15.06.2023 10:00TISS2. Test (Paralleltermin)
Fri14:00 - 16:0016.06.2023Informatikhörsaal - ARCH-INF assessed01.05.2023 00:00 - 15.06.2023 10:00TISS2. Test (Paralleltermin)
Fri14:00 - 16:0016.06.2023GM 5 Praktikum HS- TCH assessed01.05.2023 00:00 - 15.06.2023 10:00TISS2. Test (Paralleltermin)
Fri14:00 - 16:0016.06.2023FH Hörsaal 1 - MWB assessed01.05.2023 00:00 - 15.06.2023 10:00TISS2. Test (Paralleltermin)
Mon10:00 - 12:0025.09.2023Informatikhörsaal - ARCH-INF writtenno application-Wiederholungstest (Paralleltermin)
Mon10:00 - 12:0025.09.2023EI 7 Hörsaal - ETIT writtenno application-Wiederholungstest (Paralleltermin)

## Course registration

Begin End Deregistration end
14.02.2022 00:00 17.05.2022 23:59 17.05.2022 23:59

## 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

German