Mathematics
Numerical Methods Mastery
Computational Problem Solving
"Numerical methods are about trade-offs: accuracy vs speed, simplicity vs robustness. Learn to choose wisely."
$4.95
This course includes:
- 34 interactive lessons
- 100+ practice problems
- 6 module checkpoint quizzes
- Numerical Methods Reference
- Lifetime access
What You'll Learn
Find roots using iterative methods
Interpolate and fit data
Evaluate integrals numerically
Solve ODEs with step methods
Solve linear systems efficiently
Analyze error and stability
Course Content
6 modules
28 lessons
11 hours total
Error Analysis
Types of Error
Free
18 min
Measuring Error
Free
15 min
Floating Point
18 min
Module 1 Practice
18 min
Root Finding
Bisection Method
20 min
Newton-Raphson Method
22 min
Secant Method
18 min
Fixed Point Iteration
18 min
Module 2 Practice
18 min
Interpolation
Polynomial Interpolation
20 min
Lagrange Interpolation
22 min
Newton's Divided Differences
20 min
Spline Interpolation
18 min
Module 3 Practice
18 min
Numerical Integration
Trapezoidal Rule
20 min
Simpson's Rule
20 min
Gaussian Quadrature
18 min
Module 4 Practice
18 min
ODEs: Initial Value Problems
Euler's Method
20 min
Runge-Kutta Methods
25 min
Stability
18 min
Systems of ODEs
18 min
Module 5 Practice
18 min
Linear Systems
Gaussian Elimination
22 min
LU Decomposition
20 min
Iterative Methods
22 min
Conditioning
18 min
Module 6 Practice
18 min
Requirements
- Calculus I & II
- Linear algebra basics
- Programming experience helpful
Who This Is For
- Engineering students
- Physics students
- Computational scientists
- Data scientists
30-Day Money-Back Guarantee
If you're not satisfied with the course for any reason, just email us within 30 days of purchase and we'll refund you in full. No questions asked.