Mechanics, PHY101, Mechanics of motions in physics, turgut.yilmaz@xmu.edu.my
Programming of quantum computers and all necessary background information.
Rigorous introduction to non-relativistic quantum formalism.
This is an guided design lab module to stimulate student's creativity of designing experiments and/or instruments for investigation of physics phenomena. At the end of the module, students will undergo a brief viva to explain their design steps taken to investigate their physics problem.
This lab module complements the teaching of PHY101 Mechanics and PHY102 Thermal Physics.
This lab module complements the teaching of PHY103 Electromagnetism and PHY104 Modern Physics
The goal of this course is to teach students, whose majors are natural sciences and engineering, the basic methodologies and knowledge applied in physics experiments so that they could have a better understanding to the fundamental principles of physics. This course also provides necessary training for students to develop their practical abilities, such as problem solving and quantitative analysis.
This course introduces students to calculus. Topics covered include: functions, limits, continuity, derivatives, partial derivatives, mean value theorem for derivative, indefinite integral, definite integral, fundamental theorem of calculus, applications of derivatives, maximum and minimum, rate of change, mean value theorem for integrals, pplications of integrals, techniques of integration, improper integrals, sequences, series, and power series.
This course covers mathematical techniques relevant to physics. The first part consists of elementary complex analysis, including complex functions and derivatives, Taylor and Laurent series, and contour integrations. The second part of the course involves methods solving partial differential equations. The topics are boundary conditions, the wave, heat, and Poisson equations, separation of variables, and special functions.
This course covers advanced mathematical methods relevant to physics. Topics include differentiable manifolds and charts, tensors, vectors and one-forms, differential forms, symmetries and Lie groups
This course introduces physics students to essential tools and methods for analyzing real scientific and legacy civic data. Topics include probability and uncertainty, statistical inference, data cleaning, exploratory data analysis, Monte Carlo simulation, reproducible workflows, and a brief introduction to machine learning. Through weekly hands-on labs using Google Colab, GitHub, and community datasets (CMS Open Data, DSECOP, HSF, kaggle), students learn to build complete and reproducible analysis pipelines. The course prepares students for research projects and data-driven careers in modern physics and technology.
This is a core module for 1st year 2nd semester physics major . Students need to have background in calculus and thermo physics. The course leads to fundamental quantum mechanics and introduce its application in atomic and molecular physics ,solid state physics and nuclear physics.
The first part is general introduction, to know about the basic concept of catalyst, catalysis and characteristic of catalysis. The second part is learning about the various types of catalysts and their catalysis.
The course of There's Plenty of Room at the Bottom is designed to transform the hard-to-understand into easy-to-learn overview of nanotechnology. This course teaches students about basic concepts of nanotechnology in the real-world implementation. Students will be fluorished with the nanotechnology-related contents depicted from science-fiction movies.
This course introduces students to parametric equations and polar coordinates, geometry of space, vector functions, application of partial derivatives, maxima and minima, multiple integrals, iterated integrals, applications of multiple integrals, line and surface integrals, Green’s Theorem, Gauss’s Divergence Theorem and Stokes’s Theorem, Fourier series.