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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Showing 181–190
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GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
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Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
GET 211
3
At the end of the course, the students should be able to: 1. describe and apply computing, software engineering knowledge, best practices, and standards appropriate for complex engineering software systems; 2. develop co...
View learning outline
Introduction to computers and computing; computer organisation – data processing, memory,
registers and addressing schemes; Boolean algebra; floating-point arithmetic; representation
of non-numeric information; problem-solving and algorithm development; coding (solution
design using flowcharts and pseudo codes). Data models and data structures; computer
software and operating system; computer operators and operators precedence; components
of computer programs; introduction to object oriented, structured and visual programming;
use of MATLAB in engineering applications. ICT fundamentals, Internet of Things (IoT).
Elements of software engineering.
CEE 506
3
At the end of this course, students should be able to: 1. plan construction activities incorporating the most appropriate combination of equipment and manpower; 2. manage construction to achieve quality construction at m...
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Construction practices and professional relations. Earth-works. Construction equipment and
techniques. Form-work design, component assembly. Improvement of productivity and
construction practices. Safety. Capital outlay and operating cost, project financing, insurance
and bonding, contract terms. Solutions to job site and engineering problems in buildings and
heavy construction in Nigeria.
SSG 321
2
At the end of this course, the students should be able to: 1. strengthen their background in the basic prerequisites to Continuum Mechanics; 2. master vector analyses, tensor theory and kinematics; 3. develop the ability...
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Mathematical preliminaries for continuum mechanics. Linear Independence, basis vectors,
dimensionality. The Einstein summation convention. Scaling, scalar, vector and tensor
products. Cartesian and curvilinear orthogonal coordinate systems. Tensors as linear
transformations. Tensor invariants. Additive and multiplicative decompositions. Differentiation
of vectors and tensors. Gradient, divergence and curl. Integral theorems of stokes and gauss.
Use of symbolic algebra and computed graphical illustrations. Thermodynamic laws.
Prerequisite: GET 301, GET 302
SSG 431
2
At the end of this course, the students should be able to: 1. derive the integral as well as differential forms of the governing equations of continua that arise from natural balances; 2. apply these equations to fixed c...
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Referential and spatial descriptions of deformation and motion. Polar decomposition theorem.
The deformation gradient and other measures of shape changes. Material and spatial time
derivatives. Referential and spatial gradients. Leibniz-Reynold’s transport theorem. Theory of
stress and heat flow. Cauchy’s lemma. Cauchy stress law, balance laws of mass, momentum
and energy. The second law of thermodynamics. Introduction to constitutive modelling.
Prerequisite: SSG 321