CCMAS Course Search
Browse BRIDGE's courses under the National Universities Commission's Core Curriculum Minimum Academic Standards (CCMAS) — Nigeria's unified benchmark curriculum for every accredited program. Search by course title, code, faculty or programme to see full descriptions, learning outlines and credit-hour loads.
4,624
Courses
10
Faculties
168
Programmes
Showing 1341–1350
of 4,624 courses
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
ELE 403
3
At the end of the course, the student will be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to solution...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturn-Louville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables.
Eigen value problems. Use of operations in the solution of partial differential equations and
Linear integral equations. Integral transforms and their inverse including Fourier, Laplace,
Mellin and Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of
finite differences. Interpolation formulae. Finite difference equations. Runge-Kutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
MATLAB functions for numeric solution of linear and non-linear ODEs.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.
GET 302
3
At the end of the course, the students should be able to: 1. solve second order differential equations; 2. solve partial differential equations; 3. solve linear integral equations; 4. relate integral transforms to soluti...
View learning outline
Series solution of second order linear differential equations with variable coefficients. Bessel
and Legendre equations. Equations with variable coefficients. Sturm-Liouville boundary value
problems. Solutions of equations in two and three dimensions by separation of variables. Eigen
value problems. Use of operations in the solution of partial differential equations and Linear
integral equations. Integral transforms and their inverse including Fourier, Laplace, Mellin and
Handel Transforms. Convolution integrals and Hilbert Transforms. Calculus of finite
differences. Interpolation formulae. Finite difference equations. RungeKutta and other
methods in the solutions of ODE and PDEs. Numerical integration and differentiation.