# 107.329 Engineering Statistics This course is in all assigned curricula part of the STEOP.\$(function(){PrimeFaces.cw("Tooltip","widget_j_id_1y",{id:"j_id_1y",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_20",{id:"j_id_20",showEffect:"fade",hideEffect:"fade",target:"isAnySteop"});});

2018W, VO, 3.0h, 4.5EC

## Properties

• Semester hours: 3.0
• Credits: 4.5
• Type: VO Lecture

## Aim of course

The class consists of three modules: Analysis of Variance and Design of Experiments, Categorical or Discrete Data Analysis, and Survival Analysis (Time-to-Event Data Analysis). Students will learn basic principles and methods and how to apply them in data analysis in all three modules.

## Subject of course

COURSE OUTLINE

I.         Design of Experiments

• Components of an experiment, terms and concepts
• Completely randomized designs: Models, parameter estimation, contrasts, checking assumptions
• Multiple comparisons
• Power and sample size
• Fixed, random and mixed models, nesting
• Variance reduction designs: complete block design, latin square
1. Categorical Data Analysis
• Categorical data: nominal vs ordinal
• Two-way contingency tables
• Three-way contingency tables
• Logistic regression
2. Survival Analysis
• Time to event data and censoring
• The survival and the hazard functions
• Survival function estimation
• Cox proportional-hazards regression model

## Course dates

DayTimeDateLocationDescription
Mon11:00 - 12:3001.10.2018 - 28.01.2019Sem.R. DA grün 06A Lecture Bura
Wed11:00 - 12:3003.10.2018 - 23.01.2019Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Wed10:00 - 12:3014.11.2018Hörsaal 14 Lecture and Exercise (Bura) - Engineering Statistics
Engineering Statistics - Single appointments
DayDateTimeLocationDescription
Mon01.10.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed03.10.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon08.10.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed10.10.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon15.10.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed17.10.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon22.10.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed24.10.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon29.10.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed31.10.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon05.11.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed07.11.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon12.11.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed14.11.201810:00 - 12:30Hörsaal 14 Lecture and Exercise (Bura) - Engineering Statistics
Wed14.11.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon19.11.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed21.11.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon26.11.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura
Wed28.11.201811:00 - 12:30Sem.R. DB gelb 04 Lecture and Exercise (Bura)
Mon03.12.201811:00 - 12:30Sem.R. DA grün 06A Lecture Bura

## Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed11:00 - 13:0029.01.2020Sem.R. DB gelb 04 written18.12.2019 14:00 - 26.01.2020 23:55TISS1. Prüfungstermin - date tbc
Tue11:00 - 13:0004.02.2020Sem.R. DB gelb 04 written06.01.2020 10:00 - 02.02.2020 23:55TISS2. Prüfungstermin - date tbc
Mon11:00 - 13:0002.03.2020Sem.R. DB gelb 04 written05.02.2020 10:00 - 28.02.2020 23:55TISS3. Prüfungstermin - date tbc

## Course registration

Begin End Deregistration end
31.08.2018 09:00 10.10.2018 14:00

## Literature

Es wird ein Skriptum zur Lehrveranstaltung angeboten.

English