MICRO-CREDENTIAL IN LAPLACE TRANSFORM

About this Module

What you will learn

The Laplace transform, named after Pierre-Simon Laplace, is a mathematical integral transform that converts a real-variable function into a complex-variable function. Primarily employed in science and engineering, it serves as a powerful tool for solving linear differential equations. This process involves transforming a derivative function with respect to the real variable t into a complex function with variables. In this topic, students will cover the comprehensive definition of the Laplace transform, including its formula, properties, Laplace transform table, and detailed applications. Widely accepted and utilized, the Laplace transform simplifies linear differential equations into algebraic equations, facilitating their solution through standard algebraic identities.

What skills you will gain

Cognitive, numeracy skills

Total contents and assessments

16 video, 8 learning activities, 2 assessment

Module Details

CLUSTER : Science & Technology ( ST )
MODE/DURATION : Flexible
LENGTH : 20 days
EFFORT : 39
LEVEL : Intermediate
LANGUAGE : English
CERTIFICATE : Yes
CPD POINT : 0
PRICE : Free

Associated Course (s) :
No Course

 Syllabus

The Laplace Transform is a mathematical tool used to convert functions from the time domain to the frequency domain. It simplifies the analysis of differential equations by transforming them into algebraic equations, facilitating solutions for various engineering and scientific problems.


The Laplace Transform of a piecewise continuous function breaks down the function into intervals, transforms each interval separately, and then combines the results. This enables the analysis of complex systems with discontinuous inputs or parameters.

The process of applying the Laplace Transform to fundamental mathematical functions like exponentials, trigonometric functions, and polynomials. This transformation allows us to convert functions from the time domain to the frequency domain, simplifying the analysis of differential equations and dynamic systems.

It states that the Laplace Transform of a sum of functions is equal to the sum of their individual Laplace Transforms. In other words, it obeys the principle of superposition, making it easier to analyze complex systems by breaking them down into simpler components.

The concept involves using linearity properties and term wise division to simplify the inverse Laplace Transform process. It enables breaking down complex functions into simpler components, making it easier to find their inverse Laplace Transforms. This technique is particularly useful for analyzing and solving differential equations in engineering and physics.

Deals with the process of reverting a Laplace Transform back to its original time-domain function by decomposing it into simpler fractions. This method is specifically applied when the transformed function contains distinct linear factors and quadratic factors. By breaking down the transformed function into these simpler fractions, it becomes easier to identify and invert each component back to the time domain, providing a practical technique for solving differential equations and analyzing dynamic systems.

It states that the Laplace Transform of a derivative of a function is related to the Laplace Transform of the original function. Specifically, it allows us to find the Laplace Transform of derivatives using a formula involving the Laplace Transform of the original function and its initial value. This theorem simplifies the solution of differential equations by enabling the transformation of derivative terms into algebraic expressions.


Allows us to apply the Laplace Transform to derivatives of functions, simplifying the solution of linear ordinary differential equations (ODEs). This theorem aids in solving initial value problems for first and second-order ODEs by transforming them into algebraic equations in the Laplace domain, making them easier to solve.

Our Instructor

DR. WAN KHADIJAH BINTI WAN SULAIMAN

Course Instructor
UiTM Shah Alam
4.3 (average sufo) instructor rating 11 course(s)

NURZALINA BINTI HARUN

Course Instructor
UiTM Shah Alam
4.3 (average sufo) instructor rating 13 course(s)

HERNIZA BINTI MD TAHIR

Course Instructor
UiTM Shah Alam
4.3 (average sufo) instructor rating 7 course(s)

Course Instructor
4.3 (average sufo) instructor rating 1 course(s)

ZUBAIDAH BINTI SADIKIN

Course Instructor
UiTM Shah Alam
4.3 (average sufo) instructor rating 11 course(s)

PROFESOR MADYA DR SHAHARUDDIN BIN CIK SOH

Course Instructor
UiTM Shah Alam
4.3 (average sufo) instructor rating 7 course(s)