Teaching Responsibility
LJMU Schools involved in Delivery:
LJMU Partner Taught
Learning Methods
Lecture
Tutorial
Module Offerings
5503ICBTCE-APR-PAR
5503ICBTCE-JAN-PAR
5503ICBTCE-SEP-PAR
Aims
To develop skills in advanced engineering mathematics for application to the solution of Civil and Building Services Engineering problems.
Module Content
Outline Syllabus:Error arithmetic: significant figures and estimation techniques, error arithmetic operations, systematic and random errors, application to experimentation and general laboratory work
Number systems: natural, integer, rational, reals, dinary, binary, octal and hexadecimal number systems.
Complex numbers: real and imaginary parts of complex numbers, complex number notation. Cartesian and polar forms, Argand diagrams, powers and roots and the use of de Moivre’s theorem, use of phasor and Argand diagrams
Numerical integral: determine the integral of functions using mid-ordinate, trapezoidal and Simpson’s rules
Numerical estimation methods: method of bisection, Newton-Raphson iteration method, estimates of scientific functions
Vector notation and operations: Cartesian co-ordinates and unit vectors, types of vector and vector representation, addition and subtraction, multiplication by a scalar, graphical methods
Matrix operations and vectors: carry out a range of matrix operations, e.g. vectors in matrix form, square and rectangular matrices, row and column vectors, significance of the determinant, determinant for 2x2 matrix, the inverse of a 2x2 matrix, Gaussian elimination to solve systems of linear equations (up to 3x3),
Vector geometry: determine scalar product, vector product, angle between two vectors, equation of a line, norm of a vector, dot and cross products
First order differential equations: engineering use, separation of variables, integrating factor method, complementary function and particular integral
Numerical methods for first order differential equations: need for numerical solution, Euler’s method, improved Euler method, Taylor series method
Application of second order differential equations:
Engineering situations: applications, e mechanical systems, fluid systems, etc.
Finite Difference and finite element methods
Assessments
Report
Exam