If you are curious about how we model a phenomena from nature and how we understand its behavior from past to future mathematically, this is the course that will give you answers.
This course provides a comprehensive qualitative and quantitative analysis of ordinary differential equations and linear algebra. This course is divided in two parts to be able to facilitate the learning experience. The first part focuses on 1st order differential equations and linear algebra. The second part is about higher order equations that presents beautiful theory of linearity, as well as the complexity of nonlinearity.
Introduction to differential equations and their solutions
Qualitative Analysis via Directional Fields
Separable Equations
Theory of 1st order Differential Equations, i.e. Picard's Theorem
1st order Linear Differential Equations with two techniques
Linear Algebra: Matrix Algebra
Solving systems of linear equations by using Gauss Jordan Elimination
Invertibility- Determinants
Subspaces and Vector Spaces
Linear Independency
Span
Basis-Dimension
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