Scientific Computing Laboratory

Master the art of computation in the Scientific Computing Laboratory, where Python meets Numerical Analysis to tackle complex scientific problems with precision and innovation!

Syllabus Exercises

Algorithm

An algorithm is a step-by-step procedure or set of rules designed to solve a problem or perform a specific task efficiently and systematically..

Python Computation

Python is a powerful tool for Numerical Analysis, to solve equations and visualize results with precision and efficiency.

Running Time

The running time of an algorithm refers to the amount of time it takes to execute, typically measured as a function of the input size n. It is often expressed using Big-O notation to describe its asymptotic behavior, helping to analyze its efficiency for large inputs..

About MA635P

This course is a laboratory component of MA633L Numerical Analysis course. To excel in this course, you should have a sound knowledge of MA633L course

Big-O, Algorithm
Numerical Interpolation
Non-linear Equations
Numerical Linear Algebra
Numerical Integration
Numerical Differential Equation

Syllabus Lab Hours

#	Date	Time
1	Tuesday	14:00-16:00

Marks (Tentative)

#	Topic	Marks	Weights	Date
1	Laboratory	3	12 x 3 = 36	Each Thursday
2	Projects	12	2 x 12 = 24	March 16, April 20, 2026
3	Mid Semester	15	1 x 15 = 15	March 10, 2026
4	End Semester	25	1 x 25 = 25	April 28, 2026