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Course · Free · Beginner to Advanced
Numerical
Computing.
When equations refuse to solve themselves on paper. Root-finding, interpolation, and the methods that turn impossible problems into approximate, computable ones — free for everyone.
FEEL MATHS·DON'T MEMORISE·CONCEPT FIRST·FEEL MATHS·DON'T MEMORISE·CONCEPT FIRST·FEEL MATHS·DON'T MEMORISE·CONCEPT FIRST·
Beginner
Basic Concepts
Start here — building the core intuition, step by step.
LECTURE 01
🎬 Fixed-Point Iteration Method
Root Finding • Fixed-point iteration technique for solving equations
LECTURE 02
🎬 Regula Falsi (False Position) Method
Root Finding • False position method for numerical root finding
LECTURE 03
🎬 Newton-Raphson Method
Root Finding • Newton-Raphson method for fast convergence
LECTURE 04
🎬 Secant and False Position Methods
Root Finding • Secant method and false position combined analysis
LECTURE 05
🎬 Simpson's 1-3 Rule Explained
Numerical Integration • Simpson's 1/3 rule for numerical integration
LECTURE 06
🎬 Trapezoidal Rule Explained - Numerical Integration
Numerical Integration • Trapezoidal rule for approximating integrals
Pro
Advanced & One-Shot Revision
Fast-paced, exam-focused videos — best for revising the full course.
REVISION 01
🎬 Quick Revision of All Topics in Numerical Computing & Numerical Analysis
One-Shot Revision • Complete overview of numerical computing and numerical analysis topics
REVISION 02
🎬 Numerical Computing in One Shot
One-Shot Lecture • Complete numerical computing course condensed