Physics

This course provides a method for solving physical problems that are described by partial differential equations. The course project gives students an experience and theoretical understanding in solving comprehensive physical problems using the finite element method.  The course content includes: strong and weak formulation of differential equations; approximating functions; Galerkin’s method; finite element formulation of heat conduction; finite element formulation of deformable bodies; finite element formulation of bending; and isoparametric elements and numerical integration.

This course provides an introduction to artificial neural networks and deep learning, with both theoretical and practical aspects. This course gives a basic knowledge of artificial neural networks and deep learning: both the theoretical background and how to practically use these methods for typical problems in machine learning and data mining. The course covers the most common models in artificial neural networks, with a focus on the multi-layer perceptron. The course contains three computer exercises where the student train and evaluate different ANN models.

This course provides a firm understanding of physical concepts and processes, and students apply concepts learnt to recent advances in our understanding of science in general. Under the headings of physiology, diagnosis and therapy, and on scales from the cell through macro-organisms to the environment, students learn ways in which biological and medical phenomena may be better understood from a physics viewpoint. 

This course covers energy loss processes, particle detectors, accelerators, spin-off applications. Strange particles, quantum numbers, the simple quark model. Heavy quarks. Leptons and lepton number. Electroweak unification, W and Z bosons, the Higgs mechanism, QCD. Extended topics selected from: deep inelastic scattering, supersymmetry, beyond the Standard Model, dark matter, Neutrino oscillations, and applications to industry and medicine.

This is the Physics Lab which follows the curriculum for the General Physics Course for first year students. There are nine labs total including Hysteresis Curve, Fundamental Optics, Slide-Wire potentiometer, Hall effect, Basic Circuit of RC/RL, Simple Michelson Interferometer, Properties of Microwave, Spectral Analysis, and Basic Circuit of RLC. You will be required to complete two lab reports and one presentation. 

This is a one-semester course, covering time-independent and time-dependent properties of electric and magnetic fields leading to the vector calculus formulation of Maxwell's Equations and the derivation of electro-magnetic waves in vacuo and in media. On completion of this course, the student is able to: state the integral laws of electromagnetism and state and derive Maxwell's equations; formulate and solve with vector calculus problems of static and time-varying electrical and magnetic field including utilization of the electric scalar potential and the magnetic vector potential; derive and apply the concepts of: Maxwell's displacement current, the continuity equation, self- and mutual inductance, Poynting's vector, energy flux, and radiation pressure; define and explain: polarization and magnetization, the fields D, H, E and B, the relation between E, B and the force on a particle, polarization charges and magnetization currents, boundary conditions on fields at interfaces between media, and Maxwell's equations in media.

In this course, students get a solid knowledge of Lagrange and Hamilton formulations of classical mechanics with connections to field theory and relativity. The course contains the following: the variation principle and Lagrange's equations; Hamilton's principle; the central force problem with two bodies; motion of rigid bodies; small oscillations; Lagrange formulation of special relativity; Hamilton formalism; Canonical transformations; the Hamilton-Jacobi equation and Poisson brackets; Perturbation theory; and continuous systems and fields.