This folder contains the learning modules for the course in Engineering Computations.
Module 1: Get data off the ground
The first three lessons are focused on creating a foundation with Python programming constructs using essentially no mathematics. The fourth lesson introduces the basic data structure in scientific computing: arrays. The final lesson is a worked example of linear regression with real data.
These lessons explore data analysis and statistics using real data, and data visualization. The fourth lesson takes a deeper dive into pandas and its powerful data structure: the data frame.
Module 3: Fly at change in systems
This module is a launching pad to investigate change, motion, and dynamics, using computational thinking.
Module 4: Land on vector spaces (Under development)