Physics

The course provides fundamental and exhaustive knowledge regarding the main aspects of astronomy and astrophysics, including up-to-date topics (e.g. extrasolar planets and astrobiology, black holes, dark matter, dark energy). The course focuses on the following main topics: from positional astronomy to the solar system, stars, galaxies, and cosmology. Topics covered include: basic spherical astronomy (solid angle, great circle, spherical triangles, shape and size of the Earth, Eratosthenes experiment), terrestrial coordinates (latitude, longitude), celestial coordinates, Doppler effect, perturbation of coordinates (precessions, nutation, parallax, proper motion, aberration), the motion of planets (including historical background), the Kepler laws, the Earth (properties, seasons, tides), the Moon (properties, motion), solar and lunar eclipses, the Solar system (planets), and notions on extrasolar planets, the electromagnetic spectrum, astronomical observations (terrestrial atmosphere, astronomical sites, seeing, adaptive optics), telescopes (reflection and refraction optics, submm-mm, radio, space telescopes, HST, Herschel, Planck, X-ray telescopes), astronomical data (images, spectra), radiation from astrophysical objects (luminosity, spectra, flux, 1/r^2 law), apparent magnitudes and Pogson law, color indices, extinction and atmospheric extinction, absolute magnitudes, black-body radiation, Planck, and Wien laws, relation between black-body and color indices, Stefan-Boltzmann law, atoms and radiation (electronic transitions, hydrogen atom, types of spectra, emission and absorption lines, continuum spectra, emission nebulae, 21 cm transition, basic thermodynamics), the classification of stars and relation with black-body, types of stellar spectra and absorption lines, luminosity classes, Hertzsprung-Russell diagram, binary stars (visual, photometric, spectroscopic, astrometric), mass of visual binary stars, the luminosity-mass relation, the four equations of stellar structure, energy transfer mechanisms, energy production in stars and timescales, thermonuclear reactions, proton-proton chain, CNO cycle, triple-alpha reaction, stellar evolution (HR diagram, time on main sequence, mass and internal structure), open and globular clusters, age estimate with HR diagrams evolution of low-mass stars, evolution of high-mass stars (Novae, Supernovae, Pulsars, Black Holes), interstellar medium (gas phases, composition, types of nebulae, H II regions, molecules, dust, star formation, chemical enrichment), our galaxy (properties, structure, components, observations across the electromagnetic spectrum, stellar populations, spiral structure, star formation, differential rotation, bulge, rotation curve, dark matter, central black hole, the local Group), galaxies (Hubble classes, colors, spectra, Schechter function, luminosity functions, spirals, ellipticals, starbursts, merging, large scale structure, groups, clusters, galaxy formation), supermassive black holes and active galaxies, basic cosmology (Hubble law, age of the Universe, Big Bang, cosmic microwave background, large scale structure, density parameter, dark matter, dark energy, possible destiny of the Universe). Required reading: FUNDAMENTAL ASTRONOMY by H. Karttunen, P. Kröger, H. Oja, M. Poutanen.

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.