Numerical Methods: Basics of Numerical Analysis for Deep learning, Machine Learning , AI ,Data Science & Engg. students
InstructorSandeep Kumar MathurComidoc has tracked 3 coupons for this course since 2025, last checked 25d ago. On average, a new coupon appears roughly every 134 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| CEBE253238A4D2A20B11 | 13% off | Expired | 7d 18h | |
| 850F04E50FC032DB2C1D | 13% off | Expired | 30d 4h | |
| 615957447ECDFE61B1C2 | 13% off | Expired | 23d 7h |
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FreeEditorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
This course program slide outlines key numerical methods including forward and backward differences, interpolation techniques, the trapezoidal rule, and root-finding algorithms.
An instructor explains numerical methods on a whiteboard, writing out the Newton Forward Interpolation formula alongside a complex integral equation involving difference operators.
The curriculum follows a logical sequence from finite differences and interpolation into differentiation, integration, and root-finding.
Quizzes are mapped to specific mathematical methods, including Bisection, Newton Raphson, and Simpson's Rule.
Instructional videos rely extensively on mathematical illustrations rather than programming-based applications.
The curriculum aligns with the stated goals of mathematics and engineering students.