Course Description
Modelling of engineering problems and introduction of algorithms/methods for obtaining their optimal solutions. The topics include constrained and unconstrained objective functions, simplex method for linear programming, duality analysis, integer programming, mixed programming, linear and non-linear programming, sensitivity analysis, steepest decent method, conjugate gradient method, conjugate direction method, newton’s method, and Lagrange multiplier method. The use of computer software programmes (e.g., LINDO and MathCAD) for solving optimisation problems will be covered in this course also.
Intended Learning Outcomes
CILO-1: An ability to apply knowledge of mathematics, science, and engineering appropriate to the degree discipline.
CILO-2: An ability to design a system, component, or process to meet desired needs within realistic constraints, such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability.
CILO-3: An ability to identify, formulate, and solve engineering problems.
CILO-4: An ability to stay abreast of contemporary issues.
CILO-5: An ability to use the computer/IT tools relevant to the discipline along with an understanding of their processes and limitations.