107.329 Engineering Statistics
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

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

Lecturers

Institute

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

Curricula

Literature

Es wird ein Skriptum zur Lehrveranstaltung angeboten.

Language

English