Computational Mathematics with SageMath

By Prof. Ajit Kumar | Institute of Chemical Technology, Mumbai

Learners enrolled: 2247

Computational Mathematics with SageMath: This twelve week course aims to use SageMath, a Python based free and open source computer algebra system (CAS) to explore concepts in Calculus, Applied Linear Algebra, Numerical Methods and basic Linear Programming Problems. The course will begin with the introduction of basic Python programming language. Next, we shall provide a quick introduction to SageMath software along with plotting 2D and 3D objects. The focus will be on using SageMath to explore topics in Calculus, Applied Linear Algebra, Numerical Method and Linear Programming Problems along with several applications.

INTENDED AUDIENCE : UG and PG students of Mathematics and BE Students, Teachers teaching in UG/PG Level.

PREREQUISITES : Basic knowledge of Calculus, Linear Algebra and ODE and Numerical Methods.

INDUSTRIES SUPPORT : Any industry dealing with Data Science and Numerical Computations.

Summary

Course Status :	Ongoing
Course Type :	Elective
Duration :	12 weeks
Start Date :	24 Jan 2022
End Date :	15 Apr 2022
Exam Date :	23 Apr 2022 IST
Enrollment Ends :	31 Jan 2022
Category :	Mathematics Foundations of Mathematics Algebra
Credit Points :	3
Level :	Undergraduate/Postgraduate

Page Visits

Course layout

Week 1:

Installation of Python
Getting Started with Python
Python as an advanced calculator
Lists in Python
Tuple, Sets and Dictionaries in Python
Functions and Branching

Week 2:

For loop in Python
While loop in Python
Creating Modules and Introduction to NumPy
Use of NumPy module
Python Graphics using MatplotLib

Week 3:

Use of SciPy and SymPy in Python
Classes in Python - Part 01
Classes in Python - Part 02
Introduction and Installation of SageMath
Exploring integers in SageMath

Week 4:

Solving Equations in SageMath
2d Plotting with SageMath
3d Plotting with SageMath
Calculus of one variable with SageMath - Part 1
Calculus of one variable with SageMath - Part 2
Applications of derivatives

Week 5:

Integration with SageMath
Improper Integral using SageMath
Application of integration using SageMath
Limit and Continuity of real valued functions
Partial Derivative with SageMath
Local Maximum and Minimum

Week 6:

Application of local maximum and local minimum
Constrained optimization using Lagrange multipliers
Working with vectors in SageMath
Solving system of linear Equations in SageMath
Vector Spaces in SageMath
Basis and dimensions of vector spaces in SageMath

Week 7:

Matrix Spaces with SageMath
Linear Transformations Part 1 with SageMath
Linear Transformations Part 2 with SageMath
Eigenvalues and Eigenvectors Part 1 with SageMath
Eigenvalues and Eigenvectors Part 2 with SageMath

Week 8:

Inner Product Part 1 with SageMath
Inner Product Part 2 with SageMath
Orthogonal Decomposition with SageMath
Least Square Solution with SageMath
Singular Value Decomposition (SVD) with SageMath
Application of SVD to image processing
Solving System of linear ODE using Eigenvalues and Eigenvectors

Week 9:

Google Page Rank Algorithm using SageMath
Finding Roots of algebraic and transcendental equations in SageMath
Numerical Solutions of System of linear equations in SageMath
Interpolations in SageMath
Numerical Integration in SageMath
Numerical Eigenvalues

Week 10:

Solving 1st and 2nd order ODE with SageMath
Euler's Method to solve 1st order ODE with SageMath
Fourth Order Runge-Kutta Method
RK4 method for System of ODE and Applications
Solving ODE using Laplace Transforms in SageMath

Week 11:

Introduction to Linear Programming Problems (LPP)
Solving Linear Programming Problmes using Graphical Methods
Basics Definitions and Results in LPP
Theory of Simplex Method
Simplex Methods in SageMath - Part 01
Simplex Methods in SageMath - Part 02
Simplex Methods in Matrix Form

Week 12:

Revised Simplex Method in SageMath
Two Phase Simplex Method in SageMath
Big-M Method in SageMath
Duality of Linear Program
Dual Simplex Method in SageMath
Review and What next in SageMath?

Books and references

1. www.sagemath.org

2. Mathematical Computation with Sage by Paul Zimmermann available from on http://www.sagemath.org

3. A First Course in Linear Algebra by Robert Beezer available online http://linear.ups.edu/

4. Abstract Algebra: Theory and Applications by Tom Judson and Robert Beezer (http://abstract.ups.edu/)

5. An Introduction to SAGE Programming: With Applications to SAGE Interacts for Numerical Methods by Razvan A Mezei, Springer

6. Group Theory: An expedition with SageMath, Ajit Kumar and Vikash Bist, Narosa (2021)

Instructor bio

Prof. Ajit Kumar

Institute of Chemical Technology, Mumbai

Dr. Ajit Kumar is an Associate Professor and the Head, Department of Mathematics, Institute of Chemical Technology. He did his Masters and Ph.D. from the University of Mumbai. His current areas of interest are Optimization Techniques, Data Analysis, and Mathematical Pedagogy. He has been a prolific user of various mathematical software such as SageMath, Python, R, Mathematica, MatLab etc. Due to this expertise, he has been invited to give talks on these topics at several national and international events and has conducted numerous training programmes for students and teachers.He has been associated with one of the most popular and significant training programmes in Mathematics known as "Mathematics Training and Talent Search‚Äù (MTTS) Programme for the last several years in various capacities. Currently he is the managing trustee of the MTTS TRUST, which organizes all the programmes under the MTTS umbrella.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 23 April 2022 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

SWAYAM Helpline / Support