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.
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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...
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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.
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 501
3
At the end of the course, students should be able to: explain the basics of project management as it relates to the Engineering discipline; demonstrate knowledge and understanding of engineering, management and financial...
View learning outline
Project management fundamentals – definitions, project environment, nature and
characteristics, development practice, management by objectives, and the centrality of
engineering to projects, infrastructures, national and global development. The scope of project
management – organisational, financial, planning and control, personnel management, labour
and public relations, wages and salary administration and resource management.
Identification of project stakeholders; beneficiaries and impacted persons – functions, roles,
responsibilities. Project community relations, communication and change management.
Project planning, control and timeliness;decision making, forecasting, scheduling, work
breakdown structure (WBS), deliverables and timelines, logical frameworks (log frames), risk
analysis, role of subject matter experts (SMEs), role conflicts; Gantt Chart, CPM and PERT.
Optimisation, linear programming as an aid to decision making, transport and materials
handling. Monitoring and Evaluation – key performance indices (KPIs); methods of economic
and technical evaluation. Industrial psychology, ergonomics/human factors and environmental
impact considerations in engineering project design and management. Project business case
- financial, technical and sustainability considerations. Case studies, site visits and invited
industry professional seminars. General principles of management and appraisal techniques.
Breakthrough and control management theory; production and maintenance management.
Training and manpower development. The manager and policy formulation, objective setting,
planning, organising and controlling, motivation and appraisal of results.
GET 501
3
1 institution need this
At the end of the course, students should be able to: 1. explain the basics of project management as it relates to the Engineering discipline; 2. demonstrate knowledge and understanding of engineering, management and fin...
View learning outline
Project management fundamentals – definitions, project environment, nature and
characteristics, development practice, management by objectives, and the centrality of
engineering to projects, infrastructures, national and global development. The scope of project
management – organisational, financial, planning and control, personnel management, labour
and public relations, wages and salary administration and resource management.
Identification of project stakeholders; beneficiaries and impacted persons – functions, roles,
responsibilities. Project community relations, communication and change management.
Project planning, control and timeliness;decision making, forecasting, scheduling, work
breakdown structure (WBS), deliverables and timelines, logical frameworks (log frames), risk
analysis, role of subject matter experts (SMEs), role conflicts; Gantt Chart, CPM and PERT.
Optimisation, linear programming as an aid to decision making, transport and materials
handling. Monitoring and Evaluation – key performance indices (KPIs); methods of economic
and technical evaluation. Industrial psychology, ergonomics/human factors and environmental
impact considerations in engineering project design and management. Project business case
- financial, technical and sustainability considerations. Case studies, site visits and invited
industry professional seminars. General principles of management and appraisal techniques.
Breakthrough and control management theory; production and maintenance management.
Training and manpower development. The manager and policy formulation, objective setting,
planning, organising and controlling, motivation and appraisal of results.
GET 501
3
At the end of the course, students should be able to: 1. explain the basics of project management as it relates to the Engineering discipline; 2. demonstrate knowledge and understanding of engineering, management and fin...
View learning outline
Project management fundamentals – definitions, project environment, nature and
characteristics, development practice, management by objectives, and the centrality of
engineering to projects, infrastructures, national and global development. The scope of project
management – organisational, financial, planning and control, personnel management, labour
and public relations, wages and salary administration and resource management.
Identification of project stakeholders; beneficiaries and impacted persons – functions, roles,
responsibilities. Project community relations, communication and change management.
Project planning, control and timeliness;decision making, forecasting, scheduling, work
breakdown structure (WBS), deliverables and timelines, logical frameworks (log frames), risk
analysis, role of subject matter experts (SMEs), role conflicts; Gantt Chart, CPM and PERT.
Optimisation, linear programming as an aid to decision making, transport and materials
handling. Monitoring and Evaluation – key performance indices (KPIs); methods of economic
and technical evaluation. Industrial psychology, ergonomics/human factors and environmental
impact considerations in engineering project design and management. Project business case
- financial, technical and sustainability considerations. Case studies, site visits and invited
industry professional seminars. General principles of management and appraisal techniques.
Breakthrough and control management theory; production and maintenance management.
Training and manpower development. The manager and policy formulation, objective setting,
planning, organising and controlling, motivation and appraisal of results.
GET 501
3
At the end of the course, students should be able to: 1. explain the basics of project management as it relates to the Engineering discipline; 2. demonstrate knowledge and understanding of engineering, management and fin...
View learning outline
Project management fundamentals – definitions, project environment, nature and
characteristics, development practice, management by objectives, and the centrality of
engineering to projects, infrastructures, national and global development. The scope of project
management – organisational, financial, planning and control, personnel management, labour
and public relations, wages and salary administration and resource management.
Identification of project stakeholders; beneficiaries and impacted persons – functions, roles,
responsibilities. Project community relations, communication and change management.
Project planning, control and timeliness;decision making, forecasting, scheduling, work
breakdown structure (WBS), deliverables and timelines, logical frameworks (log frames), risk
analysis, role of subject matter experts (SMEs), role conflicts; Gantt Chart, CPM and PERT.
Optimisation, linear programming as an aid to decision making, transport and materials
handling. Monitoring and Evaluation – key performance indices (KPIs); methods of economic
and technical evaluation. Industrial psychology, ergonomics/human factors and environmental
impact considerations in engineering project design and management. Project business case
- financial, technical and sustainability considerations. Case studies, site visits and invited
industry professional seminars. General principles of management and appraisal techniques.
Breakthrough and control management theory; production and maintenance management.
Training and manpower development. The manager and policy formulation, objective setting,
planning, organising and controlling, motivation and appraisal of results.
GET 501
3
At the end of the course, students should be able to: 1. explain the basics of project management as it relates to the Engineering discipline; 2. demonstrate knowledge and understanding of engineering, management and fin...
View learning outline
Project management fundamentals – definitions, project environment, nature and
characteristics, development practice, management by objectives, and the centrality of
engineering to projects, infrastructures, national and global development. The scope of project
management – organisational, financial, planning and control, personnel management, labour
and public relations, wages and salary administration and resource management.
Identification of project stakeholders; beneficiaries and impacted persons – functions, roles,
responsibilities. Project community relations, communication and change management.
Project planning, control and timeliness; decision making, forecasting, scheduling, work
breakdown structure (WBS), deliverables and timelines, logical frameworks (log frames), risk
analysis, role of subject matter experts (SMEs), role conflicts; Gantt Chart, CPM and PERT.
Optimisation, linear programming as an aid to decision making, transport and materials
handling. Monitoring and Evaluation – key performance indices (KPIs); methods of economic
and technical evaluation. Industrial psychology, ergonomics/human factors and environmental
impact considerations in engineering project design and management. Project business case
- financial, technical and sustainability considerations. Case studies, site visits and invited
industry professional seminars. General principles of management and appraisal techniques.
Breakthrough and control management theory; production and maintenance management.
Training and manpower development. The manager and policy formulation, objective setting,
planning, organising and controlling, motivation and appraisal of results.