What you'll learn?
Learn numerical integration in Python — from error analysis and convergence to probabilities, Fourier analysis, and real-world applications in medical imaging, drug exposure, and bioinformatics
Description
Course Outcomes:
- Implement trapezoidal and Simpson integration using Python and NumPy.
- Measure numerical error, estimate convergence order, and select a suitable method.
- Compute probabilities, moments, marginals, and conditional densities through integration.
Course content
Total:
10 lectures
Total Duration:
0 seconds
the instructor
M SANJEEVA REDDY
Future-ready mathematics innovator, blending AI, machine learning, and timeless principles to make math accessible and empowering.