Physics

The course offers a study of methods and strategies to recognize, interpret, analyze, and design electronic circuit amplifiers, feedback systems, oscillators, and power supplies. It reviews concepts related to electronic components and circuits, and the analog processing of the electrical signal. Topics include: single-stage amplifier circuits; multi-stage amplifier circuits; power amplifiers; feedback amplifiers; operational amplifiers; oscillator circuits; linear voltage regulators.

This course offers a thematic overview of the frontiers of physics, with a central focus on light due to its ubiquitous presence in the development of modern physics. It covers the classical wave description of light, from the history of its discovery to the basic mathematical notions, the speed of light and special relativity, as well as light's impact on the development of quantum theory, highlighting some fundamental quantum processes involving one or two photons. It also explores light-based technologies and considers the historical and philosophical context of these scientific concepts, laying a solid foundation for further study in physics.

This course offers a description of a system to make a link between the microscopic properties of the particles in the system and its macroscopic behavior at equilibrium. It is based on the idea that the macroscopic state of the system is realized as the average over a large number of independent microscopic states. This demonstrates the basis of these statistical principles and their applications to various problems in physics, chemistry, and material science as statistical thermodynamics bridges many disciplines as it makes the link between the physical description of a given particle and the behavior of a statistical ensemble of those particles. 

This course equips students with the basic concepts and problem solving skills for analyzing objects moving close to the speed of light and particles exhibiting quantum behavior. Students gain physical insights and analytical skills for studying relativistic problems and quantum systems. The course content includes: 1.Foundation (FND): a. Wave properties b. Speed of Light c. Superposition, Diffraction and Interference d. Atoms and subatomic particles 2. Special Relativity (SR) a. Frames of Reference and Galilean Transformation b. Postulates of Special Relativity and Lorentz Transformation c. Length Contraction and Time Dilation d. Minkowski’s Space-time diagrams e. Resolving Paradoxes f. Relativistic Momentum, Kinetic Energy and Energy 3. Basic Nuclear Physics (BNP) a. Radioactive particles ( b. Nuclear Fission and Fusion c. Radioactivity d. Mass-Energy Equivalence e. Medical application and Dosage 4.Quantum Physics (QP) a. Blackbody Radiation b. Quantization of Physical Quantities c. Photoelectric Effect d. Compton Scattering and wavelength e. Pair Production/Annihilation f. Double Slit Experiment g. Davidsson-Germer Experiment h. Wave-Particle Duality i. Hydrogen Atom (Bohr’s Model & Atomic Spectra) 5.Basic Quantum Mechanics (BQM) a. Eigenvalues, Eigenfunctions and Operators b. Two level systems c. Schrodinger’s Equation and Wave function d. Probability (Density) e. Infinite and Finite Potential Well (Particle in a Box) f. Quantum Harmonic Oscillator g. Potential Barrier/Step h. Expectation Value and Uncertainty i. Heisenberg’s Uncertainty Principle j. Commuting Operators k. Hydrogen Atom l. Quantum Numbers, Degeneracy

This course provides a comprehensive introduction to the physics of semiconductors and devices. It covers essential topics including principles and design and the foundational knowledge of the functionality and applications of the devices. Students design experiments that use these devices, and link theory and practice so that concepts learned in the course can be implemented. Topics include widely used semiconductor devices, such as diode and transistor, or memory, such as, SRAM, DRAM, and NAND Flash. This course familiarizes students with the common semiconductor devices in the advanced manufacturing industry to gain the relevant background in the semiconductor industry. The course requires students to take prerequisites.

This course examines the fundamental concepts and problem-solving skills in in statistical mechanics, including topics such as definition of temperature, microcanonical ensemble, canonical ensemble, grand canonical ensemble, Boltzmann, Bose, and Fermi distributions, paramagnets, harmonic oscillators and Debye solids, blackbody radiation, chemical potential, Gibbs free energy, and phase transitions. The course requires students to take prerequisites.

This course examines the fusion of physics of biology that forms the basis of modern medical imaging and radiation therapy technology and traces its roots from the foundational theories to its implementation in medical procedures. Students learn how such technology is applied to disease management, as well as the modern innovations that pave the way towards the future of healthcare. Topics include how medical technology is one of the most important applications of science and technology; how it provides the means to protect and preserve lives in today’s world of ageing population, proliferation of chronic diseases, global pandemics and rising pollution. The course requires students to take prerequisites.

This course introduces the essentials of Einstein’s general theory of relativity: its basics concepts, mathematical formulation and observational consequences. Students develop an understanding of the geometrical structure and physical implications of this theory. Topics include the geometrical framework of general relativity and analytical tools used across subjects in theoretical physics and some branches of mathematics. The course requires students to take prerequisites.

Know how to solve second-order ordinary linear differential equations using the series expansion method. Understand the utility of series developments of orthogonal functions and apply them to a series of partial differential equations of utility in physics. Understand the importance of contour conditions and their role in determining a discrete spectrum of eigenvalues and applying them to a series of partial differential equations useful in physics. Acquire ease in the use of Fourier and Laplace transforms in the resolution of differential and linear integral equations.