• Add-on Courses

    Welcome to my Moodle site

      • About Instructor

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      • Rahul Deshmukh is working as Assistant Professor in the Department of Mathematics at Sant Rawool Maharaj Mahavidyalaya, Kudal Dist- Sindhudurg State- Maharashtra (India). He received Master of Science in Mathematics from Shivaji University Kolhapur in 1998 and Master of Philosophy in Mathematics from Madurai Kamraj University, Madurai in 2009. His teaching and research interests include the many connections between computer science and Mathematics.



Available courses

About the Course

This twelve-week course aims to use Python. The course provides an introduction to the use of computers for solving mathematical problems. For this, course introduces the basics of Python 3, including conditional execution and iteration as control structures, and strings and lists as data structures., and are demonstrate how a programming language can enable the solution of mathematical problems. The course does not assume prior programming experience and does not aim at an in-depth understanding of the details of Python. Rather the focus is on understanding concepts and techniques of how programming can help to expand the spectrum of tractable mathematical problems. First, we will look at setting up Python IDLE and Turtle Graphics, Sympy and Mathplotlib packages and some basic things we can do using the graphics library. Next, you will get hands-on experience using programming to create a simple graphics creation program. Finally, this course should enable you to read more advanced material on Python, and prepare you to learn other programming languages or packages that are commonly encountered in computational mathematics. Also, you will learn mathematical programming including documentation, graphics, algebraic expression solving with mathematical adventures in Python.

Course Outcomes (CO)

  • Able to analyze problems from a computing perspective, propose and evaluate solutions to problems
  • Understand the importance of and consistently use data and process abstraction;
  • Understand the importance of and consistently use good programming practices including good documentation;
  • Designing graphical programs in Python to solve computational problems from different areas within mathematics.
  • Able to use packages in Python that are commonly used in data science.
  • Able to model problems using Computational technique.
  • Able to use python mathematical packages namely Turtle, SymPy, MathPlotlib,

Course Mode:

Online-Moodle
Course Type:

Add-On Course
Duration:

12 weeks
Start Date:

1 Jan 2022
End Date:

31 Mar 2022
Exam Date:

10 April 2022
Enrolment Ends:

31 Dec 2021
Category:

Applied Mathematics
Level:

Undergraduate/Postgraduate


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