142.351 Statistical Methods of Data Analysis This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_21",{id:"j_id_21",showEffect:"fade",hideEffect:"fade",target:"isAllSteop"});});This course is in at least 1 assigned curriculum part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_23",{id:"j_id_23",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});}); 2023W 2022W 2021W 2020W 2019W 2018W 2017W 2016W 2015W 2014W 2013W 2012W 2011W 2010W 2009W 2008S 2006S 2005S 2004S 2003S 2002S 2001S 2000S 1999S 1998S 1997S 1995S 1993S 1991S 1989S 1987S 1986S

2023W, UE, 2.0h, 3.0EC, to be held in blocked form

Properties

• Semester hours: 2.0
• Credits: 3.0
• Type: UE Exercise
• Format: Presence

Learning outcomes

After successful completion of the course, students are able to apply the methods learned in the lecture (142.340) to simulated and real data sets and to analyze the results with repsect to their quality and significance.

Subject of course

Descriptive statistics; elementary introduction to probability; discrete and continuous random variables and their properties; estimation of unknown parameters from random samples; confidence intervals; statistical testing of hypotheses; introduction into Bayesian statistics; testing of hypotheses; linear models and regression.

Teaching methods

Solution of problems on the blackboard and by programs. Python preferred, but not obligatory.

Mode of examination

Immanent

The exercises start on October 27, 2023 and end on January 19, 2024. Attendance of course 142.340 is required.

Lecture and the in-person exercises will be held in the University of Vienna: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329.

Course dates

DayTimeDateLocationDescription
Fri14:15 - 15:3027.10.2023 - 12.01.2024 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri13:00 - 15:3019.01.2024 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence (double tutorials)
Statistical Methods of Data Analysis - Single appointments
DayDateTimeLocationDescription
Fri27.10.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri03.11.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri10.11.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri17.11.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri24.11.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri01.12.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri15.12.202314:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri12.01.202414:15 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence
Fri19.01.202413:00 - 15:30 Universität Wien: Josef-Stefan-Hörsaal, Boltzmanngasse 5, 3. Stk., 1090 Wien 3329Tutorials in presence (double tutorials)
Course is held blocked

Examination modalities

see information sheet

Course registration

Begin End Deregistration end
04.09.2023 16:00 02.10.2023 23:59 04.10.2023 13:00

Registration modalities

Registration via TISS, attendance of course 142.340 is required.

Group Registration

GroupRegistration FromTo
Online group (English)07.10.2023 10:0008.10.2023 10:00
Präsenzgruppe - Deutsch07.10.2023 10:0008.10.2023 10:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 261 Technical Physics Not specified
066 460 Physical Energy and Measurement Engineering Not specified
066 461 Technical Physics Mandatory elective
810 Technical Physics Mandatory elective

Literature

For literature and course material see 142.340

Previous knowledge

Mathematics of the first two semesters.

Miscellaneous

• Attendance Required!

English