This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.
Students will carry out a medical engineering design project in groups of up to 4 people.
¿ Quantum mechanics ¿ Bohr model of the atom, Schrodinger equation, energy eigenvalues and wave functions of the hydrogen atom. ¿ Application of quantum mechanics to nano-scale semiconductor structures ¿ Semiconductor band structure, effective mass approximation, quantum wells, wires and dots, density of states for electrons, quantum devices. ¿ Molecular modelling ¿ Basic atomic forces and bonding, small molecule models, proteins, molecular modelling packages. ¿ Transport of particles ¿ Electron transport; diffusion and conduction, nano-fluidics, rate equations and Monte Carlo simulations.