EMSE 6765

Syllabus

Introduction

Prereq Review

Course Files

R - Files

Python - Files

Solutions

Project Files

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DATA ANALYSIS FOR ENGINEERS AND SCIENTISTS:

Please make sure you review the following prerequisity knowledge below before taking this class. These electronic lecture notes are developed from the following recommended textbook.

"A Modern Introduction to Probability and Statistics, Understanding Why and How" by F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä and L.E. Meester, Springer-Verlag, 2005.

Chapter 1: Why Probability and Statistics? Chapter 1.pdf, Chapter 1.xls, 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, Birthday Example.xls

Chapter 4: Discrete Random Variables. Chapter 4.pdf, Examples Chapter 4.xls

Chapter 5: Continuous Random Variables. Chapter 5.pdf, Chapter 5 Examples.xls

Chapter 7: Expectation and Variance. Chapter 7.pdf

Chapter 10: Covariance and Correlation. Chapter 10.pdf

Basic Excel Skill are expected. You can enhance them using:

Excel tutorial:

https://support.microsoft.com/en-us/office/excel-video-training-9bc05390-e94c-46af-a5b3-d7c22f6990bb