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2024S, VU, 2.0h, 2.5EC

## Properties

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

## 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 concepts, derivation of basic equations, calculation of examples, discussion of case studies

The material is taught in the form of lectures in the lecture hall and in the lecture notes. As an additional offer, the lecture recordings recorded during the pandemic will be made available on the research department's YouTube channel (link can be found in TUWEL). Shortly before the tests, tutor consultation hours are offered in which solutions to examples from task collections are presented and discussed.

The first lecture will take place on March 6 at 12 noon in FH HS 1. Shortly before the lecture, a script sale (lecture notes & problem collection) will be offered in front of the lecture hall, details will follow in a mailing.

Accompanying online quizzes in TUWEL are used for self-assessment and also determine part of the final grade, therefore registration for the TUWEL course is absolutely necessary.

Immanent

## Course dates

DayTimeDateLocationDescription
Wed12:00 - 14:0006.03.2024 - 26.06.2024FH Hörsaal 1 - MWB Vorlesung
Mon10:00 - 12:0013.05.2024Seminarraum BA 02A Fragestunde 1. Test
Wed15:00 - 17:0015.05.2024Seminarraum Lehar 03 Fragestunde 1. Test
Thu16:00 - 18:0016.05.2024Seminarraum Lehar 03 Fragestunde 1. Test
Fri16:00 - 18:0014.06.2024Seminarraum BA 02C Fragestunde 2. Test
Mon10:00 - 12:0017.06.2024Seminarraum BA 08B - MB Fragestunde 2. Test
Wed10:00 - 12:0019.06.2024Seminarraum Lehar 03 Fragestunde 2. Test
Stochastics - Single appointments
DayDateTimeLocationDescription
Wed06.03.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed13.03.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed20.03.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed10.04.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed17.04.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed24.04.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed08.05.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Mon13.05.202410:00 - 12:00Seminarraum BA 02A Fragestunde 1. Test
Wed15.05.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed15.05.202415:00 - 17:00Seminarraum Lehar 03 Fragestunde 1. Test
Thu16.05.202416:00 - 18:00Seminarraum Lehar 03 Fragestunde 1. Test
Wed22.05.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed29.05.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed05.06.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed12.06.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Fri14.06.202416:00 - 18:00Seminarraum BA 02C Fragestunde 2. Test
Mon17.06.202410:00 - 12:00Seminarraum BA 08B - MB Fragestunde 2. Test
Wed19.06.202410:00 - 12:00Seminarraum Lehar 03 Fragestunde 2. Test
Wed19.06.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung
Wed26.06.202412:00 - 14:00FH Hörsaal 1 - MWB Vorlesung

## Examination modalities

Proof of performance is provided in writing, whereby 2 practice tests (only exercise examples) and online quizzes offered continuously during the semester (in the TUWEL course, MC questions on theory) must be completed, see the course information sheet for details.

## Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon10:00 - 12:0023.09.2024Informatikhörsaal - ARCH-INF written09.09.2024 10:00 - 22.09.2024 20:00TISSWiederholungstest - 1. Test (Paralleltermin)
Mon10:00 - 12:0023.09.2024EI 7 Hörsaal - ETIT written09.09.2024 10:00 - 22.09.2024 20:00TISSWiederholungstest - 1. Test (Paralleltermin)
Mon10:00 - 12:0023.09.2024Informatikhörsaal - ARCH-INF written09.09.2024 10:00 - 22.09.2024 20:00TISSWiederholungstest - 2. Test (Paralleltermin)
Mon10:00 - 12:0023.09.2024EI 7 Hörsaal - ETIT written09.09.2024 10:00 - 22.09.2024 20:00TISSWiederholungstest - 2. Test (Paralleltermin)
Fri14:00 - 16:0023.05.2025GM 5 Praktikum HS- TCH assessed03.03.2025 00:00 - 22.05.2025 14:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0023.05.2025GM 1 Audi. Max.- ARCH-INF assessed03.03.2025 00:00 - 22.05.2025 14:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0023.05.2025EI 7 Hörsaal - ETIT assessed03.03.2025 00:00 - 22.05.2025 14:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0023.05.2025FH Hörsaal 1 - MWB assessed03.03.2025 00:00 - 22.05.2025 14:00TISS1. Test (Paralleltermin)
Fri14:00 - 16:0023.05.2025HS 18 Czuber - MB assessed03.03.2025 00:00 - 22.05.2025 14:00TISS1. Test (Paralleltermin)
Wed17:00 - 19:0025.06.2025EI 7 Hörsaal - ETIT written23.05.2025 00:00 - 24.06.2025 10:00TISS2. Test (Paralleltermin)
Wed17:00 - 19:0025.06.2025GM 1 Audi. Max.- ARCH-INF written23.05.2025 00:00 - 24.06.2025 10:00TISS2. Test (Paralleltermin)
Wed17:00 - 19:0025.06.2025Informatikhörsaal - ARCH-INF written23.05.2025 00:00 - 24.06.2025 10:00TISS2. Test (Paralleltermin)
Wed17:00 - 19:0025.06.2025FH Hörsaal 1 - MWB written23.05.2025 00:00 - 24.06.2025 10:00TISS2. Test (Paralleltermin)
Wed17:00 - 19:0025.06.2025GM 2 Radinger Hörsaal - TCH written23.05.2025 00:00 - 24.06.2025 10:00TISS2. Test (Paralleltermin)
Mon10:00 - 12:0022.09.2025Informatikhörsaal - ARCH-INF writtenno application-Wiederholungstest (Paralleltermin)
Mon10:00 - 12:0022.09.2025GM 1 Audi. Max.- ARCH-INF writtenno application-Wiederholungstest (Paralleltermin)

## Course registration

Begin End Deregistration end
12.02.2024 00:00 14.05.2024 23:59 14.05.2024 23:59

## Curricula

Study CodeObligationSemesterPrecon.Info
033 245 Mechanical Engineering Mandatory2. Semester
033 282 Mechanical Engineering - Management Mandatory2. Semester
066 473 Chemical and Process Engineering for Sustainable Production Mandatory1. Semester

## 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