Solving differential equations with computers: from Taylor series to neural networks
Prerequisites: Undergraduate level calculus and linear algebra, familiarity with programming in any language
Description: A practical-oriented introductory course on approximate solutions of
differential equations, from traditional numerical methods to machine
learning-based approaches.
Intended audience: This course is designed for individuals from engineering disciplines,
including mechanical, aerospace, civil, and chemical engineering.
Additionally, it welcomes learners from basic sciences as well.
Mode: Live lectures on Wednesdays (6:30 PM to 8:30 PM)
(In unforeseen situations, recorded lectures will be uploaded by 6:30 PM.)
Starting date: 6th September 2023
Tentative syllabus: Link
As per ISSS guidelines: Please note that registration for this course is free. Neither you, nor your organization has to pay for it.
Please fill the form for further communication. Looking forward to seeing you in the session!
In case of any queries, feel free to contact me at priyabrat237@gmail.com
