AIM 5113

Topics List

Date	Sections	Topics	Prerequisite Skills	Student Learning Outcomes
Week 1		Introduction to statistical reasoning and random variables		Uniform, Gaussian and Poisson distributions
Week 2		Introduction to statistical reasoning and random variables (continued)		Taguchi quality control
Week 3		Monte-Carlo methods		Computing integrals using the Monte-Carlo method
Week 4		Monte-Carlo methods (continued)		Learn to implement Monte-Carlo methods in Python/MATLAB
Week 5		Introduction to Data Acquisition and Manipulation		z-transform, filters, stability, error analysis, aliasing
Week 6		Discrete Fourier transform		Properties of the Fourier transform
Week 7		Linear Regression and Optimization Problems
Week 8		Cost-Benefit Analysis
Week 9		Basic of Economic Analysis
Week 10		Introduction to Ordinary Differential Equations	Derivatives
Week 11		Introduction to Partial Differential Equations
Week 12		Finite Differences
Week 13		Writing Technical Reports
Week 14		Review, advanced topics