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Academic Research Poster

Derivatives

Project IDPT-S26-1B5811
Lead ResearcherZaki Noorani
Student IDS26CSC057
DepartmentComputer Science
SemesterSemester 03

Abstract

Calculus: The Mechanics of Derivatives. This project explores derivatives as the mathematical engine for understanding dynamic systems. By measuring the instantaneous rate of change and mapping the slope of a curve at any specific point, derivatives allow us to transition from static data to predictive modeling. We demonstrate how finding critical points (where the slope is zero) is essential for optimization, allowing us to identify maximum peaks and minimum valleys. Through interactive visualization, this research bridges theoretical calculus with practical applications in physics, economics, and computational algorithms.

Research Team

M.Mohid SalmanS26CSC08
Muhammad IsmailS26CSC043

Internal Supervision

Principal SupervisorUzma Javed Imam
Academic DivisionFaculty of Information Technology

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Derivatives