Objective:
The "Unlocking Symbolic Mathematics with SymPy" webinar is designed to provide participants with a comprehensive introduction to SymPy, a powerful Python library for symbolic mathematics. This one-day event aims to equip attendees with the knowledge and skills to effectively utilize SymPy for solving mathematical problems symbolically.

Agenda:

(1) Introduction to Symbolic Mathematics and SymPy 
Brief overview of symbolic mathematics
Introduction to SymPy and its significance
(2) Getting Started with SymPy
Installation and setup
Basics of symbolic expressions and variables
(3) Mathematical Operations with Symbols
Performing basic mathematical operations
Simplification of expressions
(4) Solving Algebraic Equations
Overview of solving equations with SymPy
Examples and demonstrations
(5) Calculus with SymPy 
Differentiation and integration with symbolic expressions
Limits and series
(6) Linear Algebra with SymPy
Introduction to matrices and operations
Eigenvalues and eigenvectors
(7) Advanced Features of SymPy
Handling differential equations
Exploring special functions
(8) Practical Examples and Use Cases
Walkthrough of practical applications
Integrating SymPy into Python projects
(9) Q&A and Interaction
Open the floor for questions
Encourage participant interaction
(10) Closing Remarks and Resources
Recap key points
Provide additional resources for further learning
Thank participants for attending

Tips:

• Time Management: Stick to the time allocated for each section to ensure you cover all the essential topics.
• Interactive Elements: Include opportunities for audience participation, such as live polls or Q&A sessions.
• Demonstrations: Incorporate live demonstrations to make the content more engaging.
• Clear Communication: Ensure that complex concepts are explained in a clear and accessible manner.
• Follow-Up Materials: Provide attendees with a post-webinar package containing code snippets, slides, and additional resources.