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Statistics and Probability Theory 2007

Summer term 2007

Prof. Dr. Michael H. Faber

Updated versions:

Lecture notes

Exercises descriptions

Exercises solutions

Presentations Lecture

Presentations Exercise Tutorials

Table of corrections/changes

Example F.3 -script (Excel file)

Video stream

Organisation of the lecture

Exceptions

Agenda of the lecture

Script

Lecture Notes (download)

Exercice Tutorials

Exercises (download)

Exercises_Solutions (download)

Groups List (download)

Exams

Twice a year, in Spring and Autumn, you can take the exam.

Assessments SS07

Results- First Assessment

Results- Second Assessment

Assessment_1_with complete solution

Assessment 2 with complete solution

General Information

Assistant

Name E-Mail Telephone Office Office Hours during the summer Exercise Location
Vasiliki Malioka
malioka@ibk.baug.ethz.ch 044 633 31 26 HIL E 23.1 Contact per email please check "Groups List"  
Kazuyoshi Nishijima
nishijima@ibk.baug.ethz.ch 044 633 43 16 HIL E 22.3 Contact per email please check "Groups List"  
Eva Sabiote sabiote@ibk.baug.ethz.ch 044 633 71 28 HIL E 22.2 Contact per email please check "Groups List"  
Matthias Schubert schubert@ibk.baug.ethz.ch 044 633 61 09 HIL E 22.3 Contact per email please check "Groups List"  

Week Date
Subject Module Presentations Tutorials
1 20.03.07

  Introduction to the Course
Presentation of typical engineering decision problems involving statistics and probability in the field of civil, surveying and environmental engineering.

A Lecture_1


 
  22.03.07 (HPH G 3) Basic Probability Theory
Interpretations of Probability, Sample Space and Events, Axioms of Probability, Conditional Probability and the Bayes' rule
B Lecture 2  
2 27.03.07 (check "Groups List") Exercise tutorial 1


    Tutorial 1
  29.03.07   Exercise tutorial 2     Tutorial 2

Group Exercise_2.7

3 03.04.07   Descriptive Statistics

Numerical summaries, Central measures, Dispersion measures, Measures of correlation, Graphical representations (Histograms, Q-Q plots etc.)


C Lecture 3  
  05.04.07   Exercise tutorial 3     Tutorial 3
4 10.04.07


Uncertainty Modelling

Uncertainties in engineering problems, Random Variables, Probability distributions, Moments of random variables, Expectation operator

D Lecture 4

Uncertainties student's answers

  12.04.07   Exercise tutorial 4     Tutorial 4

Group exercise 3.4

5 17.04.07
Uncertainty Modelling

Properties of the expectation operator, Random vectors and joint moments, Sum of random variables, Functions of random variables

D Lecture 5  
  19.04.07 Exercise tutorial 5     Tutorial 5

Group exercise 4.3

6 24.04.07
Uncertainty Modelling

Probability functions, The central limit theorem, The Normal distribution, The Lognormal distribution, Stochastic processes, Random sequences, Bernoulli trials

D Lecture 6
 
  26.04.07   Exercise tutorial 6     Tutorial 6

Group exercise 5.3

Group_exercise_5.3_students_ppt

7 03.05.07 (HCI G 7) First Assessment      
8 08.05.07
Result classroom assessment

Uncertainty Modelling

Poisson counting process, Continuous random processes, Stationarity and ergodicity

D Lecture 7  
  10.05.07   Exercise tutorial 7     Tutorial 7

Group Exercise 6.3

9 15.05.07   Uncertainty Modelling

Extreme values, Gumbel distribution, Frechet distribution, Weibull distribution

D
Lecture 8

Card Exercises_Lecture 4 to 7

Card Exercises Lecture 8

 
10 22.05.07   Estimation and Model Building

Chi-square distribution, Chi-distribution, t-distribution, F-distribution

E Lecture 9

Card Exercises Lecture 9

 
  24.05.07   Exercise tutorial 8     Tutorial 8

Group exercise 7.4 presentation

11 29.05.07   Estimation and Model Building

Testing for statistical significance, Hypothesis testing, Selection of probability distributions, Model selection using probability paper

E Lecture 10

Card Exercises Lecture 10

 
  31.05.07
Exercise tutorial 9   Tutorial 9

Exercise 8.4 Solution

12 05.06.07   Estimation and Model Building

Estimation of distribution parameters, Methods of moments, Maximum likelihood method.

E Lecture 11

Card Exercises Lecture 11

Method of Moments
Maximum Likelihood Method

 
12 07.06.07 (HPH G 3) Estimation and Model Building

Model evaluation by statistical testing, Chi-square goodness of fit test, Kolmogorov- Smirnov goodness of fit test, Model comparison

F Lecture 12

Card Exercises Lecture 12

 
13 12.06.07
Exercise tutorial 10     Tutorial 10

Correction Exercise 8.1

Exercise 9.3 Solution

13 14.06.07 (HCI G 7) Second Assessment      
14 19.06.07
Methods of Structural Reliability

Failure events, Limit state functions (Linear and non-linear), Simulation methods

G Lecture 13
Card Exercises Lecture 13
 

14

20.06.07

HIL E 4,8-10

EXTRA LECTURE

Bayesian Decision Analysis

Decision/event trees, Expected values, Decisions subject to uncertainty, Prior, posterior and pre-posterior analysis

G Lecture extra
 
14 21.06.07
Exercise tutorial 11     Tutorial 11

Exercise 10.5 Solution

Exercise 11.1 Solution

 

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