INTRODUCTION TO CURVE FITTING

This workshop introduces fundamental concepts and techniques for finding curves that best fit your data. Participants will learn to model relationships between variables, smooth out noisy data, and make inferences using linear and non-linear curve approximation and interpolation. Through practical examples, participants will develop skills to successfully capture underlying trends.

OBJECTIVES

1. Introduces fundamental concepts and techniques for finding curves that best fit your data.
2. Participants will learn to model relationships between variables, smooth out noisy data, and make inferences using linear and non-linear curve approximation and interpolation.
3. Participants will develop skills to successfully capture underlying trends through practical examples.

WHO SHOULD ATTEND

• Students, researchers and academicians in mathematics, statistics, engineering, computer science and related fields.
• Industry professionals involved in data analysis, modelling and scientific computing.
• Educators interested in integrating curve fitting and interpolation techniques into teaching and research.
• Anyone seeking practical experience with curve fitting techniques using MATLAB.

PREREQUISITE

Participants should have a basic understanding of algebra and mathematical functions. Prior experience with MATLAB is beneficial but not mandatory.

MATERIALS

• Laptop computer (Participants are required to bring their own.)
• MATLAB.
• Sample datasets for practical exercises (Given.)

AGENDA

• Introduction to Curve Fitting.
• Fundamentals of Linear Curve Fitting.
• Non-linear Curve Fitting Techniques.
• Curve Approximation and Interpolation.
• Practical Demonstration and Hands-on Exercises.
• Discussion, Questions and Closing.