This page contains fill-in notes on Mathematical Foundations of Engineering Analysis lectures from the courses MME 502.
A single pdf with all lectures can be downloaded here.
Individual lecture files
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01.02 Foundations of mathematics
01.03 Mathematical reasoning
01.04 Mathematical topics in overview
01.05 What is math for engineering?
01.06 Exercises for Chapter 01
02.00 Math reasoning logic & set theory
02.01 Introduction to set theory
03.01 Probability and measurement
03.02 Basic probability theory
03.03 Independence and conditional probability
03.06 Probability density and mass functions
04.01 Populations samples and machine learning
04.02 Estimation of sample mean and variance
04.05 Multivariate probability and correlation
05.01 Divergence surface integrals and flux
07.00 Partial differential equations
09.01 Optimizing functions
09.02 Optimizing functionals the calculus of variations
A.01 Gaussian distribution table
A.02 Student's t distribution table