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EMSE
6115
Syllabus
Introduction
Lecture Notes
R
- Files
Python - Files
Example
Exam Questions
Solutions
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Dekking
Solutions
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Devore
LA
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Uncertainty
Analysis for Engineers :
SESSION
1: Homework
Set 1.pdf, HW
Set 1 Part c - Template.xlsx
Chapter
1: Why Probability and Statistics? Chapter
1.pdf, Chapter
1.xlsx, How Iris Recognition Works: http://www.cl.cam.ac.uk/~jgd1000/irisrecog.pdf
Chapter
2: Outcomes, Events, and Probability. Chapter
2.pdf
Chapter
3: Conditional Probability and Independence.
Chapter
3.pdf, ProbTableExample.xlsx
SESSION
2:
Chapter
4: Discrete Random Variables. Chapter
4.pdf, Examples
Chapter 4.xls, Discrete
Distribution Examples.xlsx
Chapter 5: Continuous Random Variables.
Chapter
5.pdf, Chapter
5 Examples.xls
Chapter
6: Simulation. Chapter
6.pdf, SamplerTemplate.xlsx,
Uniform Sampler.xlsm,
Bernouilli
Sampler.xlsm, QE
6.2 Sampler.xlsm, Exponential
Sampler.xlsm, QE
6.3 Sampler.xlsm, Jury
Rule Simulation.xlsm, Jury
Rules.MPJ
SESSION
3: Homework
Set 2.pdf, TriangularTemplate.xlsx
Extra
Notes on Sampling.pdf, SamplerTemplate.xlsx,
Chapter
7: Expectation and Variance. Chapter
7.pdf
Chapter
8: Computation with Random Variables. Chapter
8.pdf, Examples
Chapter 8.xlsx
SESSION
4:
Chapter
9: Joint Distributions and Independence. Chapter
9.pdf, Example
S and M.xlsx, Intro
Reliability Engineering.pdf, Series_and_Parrallel_System_Simulator.xlsx,
Series_and_Parrallel_System_Simulator
- Template.xlsx
SESSION
5: Homework
Set 3.pdf,
Reliability
Engineering Question, System_Simulator
- Template.xlsx
Chapter
10: Covariance and Correlation. Chapter
10.pdf
Chapter
11: More
Computation with Random Variables. Chapter
11.pdf, Examples
Chapter 11.xlsx
SESSION
6:
Chapter 11: More Computation with Random Variables.
Chapter
11.pdf, Examples
Chapter 11.xlsx
Chapter 13: The
Law of Large Numbers. Chapter
13.pdf, Examples
Chapter 13.xlsm, NormalSampleExample.xlsm,
Gamma
LOLN.xlsx, Expo
LOLN.xlsx, Uniform
LOLN.xlsx, Normal
LOLN.xlsx, Cauchy
LOLN.xlsx, Pareto
LOLN.xlsx
SESSION
7:
Chapter
14: The Central Limit Theorem. Chapter
14.pdf, Chapter
14.xlsx, MIDTERM
REVIEW
SESSION
8: MIDTERM EXAM MONDAY JUNE 13, 2022
SESSION
9:
Homework
Set 4.pdf, Minitab
CLT Question.pdf
Chapter
15: Exploratory Data Analysis: Graphical Summaries.
Chapter
15.pdf, Examples
Chapter 15.xlxs, OLD-FAITHFULL.MPJ,
FailureTimes.MPJ
Chapter 16: Exploratory Data Analysis: Numerical
Summaries.
Chapter
16.pdf, Examples
Chapter 16.xlsx, Old
Faithfull - Box Plot.MPJ, Software
- Box Plot.MPJ
SESSION
10: Homework
Set 5.pdf
Chapter 19: Unbiased
Estimators. Chapter
19.pdf, Examples
Chapter 19.xlsm
Chapter
20: Efficiency and Mean Squared Error.
Chapter 20.pdf,
Examples
Chapter 20 - Sample Mean and Sample Variance.xlsm, Examples
Chapter 20 - MSE.xlsm
SESSION
11:
Chapter
23: Confidence Intervals for the Mean.
Chapter 23.pdf,
Examples
Chapter 23.xls, NormalConf
- Var Known.xlsm, NormalConf
- Var UnKnown.xlsm
Chapter
24: More on Confidence Intervals. Chapter
24.pdf, Examples
Chapter 24.xlsx, NormalConf
One-Sided Upper - Var UnKnown.xlsm, NormalConf
One-Sided Lower - Var UnKnown.xlsm
SESSION
12: Homework
Set 6.pdf
Chapter 25: Testing
Hypotheses: Essentials. Chapter
25.pdf, Examples
Chapter 25.xlsx
Chapter 26: Testing
Hypotheses: Elaboration. Chapter
26.pdf, Examples
Chapter 26.xlsx
SESSION
13:
Chapter
27: The t-test. Chapter
27.pdf, Examples
Chapter 27.xlsx
Chapter
28: Comparing Two Samples: Chapter
28.pdf, LeanAngle.xlsx
SESSION
14: Final-Review
SESSION
15: FINAL EXAM
WEDNESDAY JULY 6, 2022
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