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Data and Computing for Engineers

Python Programming

1. Python Primer
2. Advanced Python

Numerical Methods

3. Linear Algebra Primer
4. Applied Linear Algebra
5. Algorithm Building Blocks
6. Nonlinear Systems of Equations
7. Numeric Integration
8. Continuous Optimization

Data Analysis

9. Descriptive Statistics and Visualization
10. Probability Theory
11. Common Probability Distributions
12. Uncertainty and Error Propagation
13. Statistical Inference
14. Multivariate Linear Regression
15. Nonlinear Regression
16. Design of Experiments
- 16.1. Model-Based Design of Experiments

Extra Information

Fall 2022
Fall 2023
Contributed Examples

Repository
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Fall 2022

Fall 2022#

Syllabus
Fall 2022 Schedule
Project 1: Computating for Problem Solving (Fall 2022)
Project 2: Data Analysis (Fall 2022)

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16.1. Model-Based Design of Experiments

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Syllabus

By Alexander Dowling, Ryan McClarren, Yamil Colón, et al.

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