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Graduate School in Science –
Theoretical Physics Syllabus
(Astrophysics, Field
Theory, Mathematical Physics, Modeling and Simulation)
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Specialization of theoretical physics offers a sound preparation in
fundamental theoretical subjects like quantum mechanics and field theory, with
a range of other possibilities. With a focus on mathematical methods of
theoretical physics, their practical applications and their interdisciplinary
character it opens a wide set of possibilities for further career in science
and industry.
This is a postgraduate course in theoretical physics consisting of both
lecture courses and a research project. The level is suitable for students who
have completed their first degree.
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Prerequisites of admission:
·
Bachelor's
degree with a major in physics
·
Bachelor's
degree with courses in the following subjects or their equivalents: general
physics, electricity and magnetism, classical mechanics, optics, thermodynamics,
calculus, linear algebra, elements of differential equations
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There are three main suggested paths of graduate studies:
·
astrophysics
·
mathematical
physics and field theory
·
modeling
and simulations
In each path the student takes the
obligatory courses (GSS and THP1, THP2, THP4 in the first year) and courses of
his/her choice. For example: a student taking the astrophysics options takes in
the first year obligatory courses (25 credits) and courses THP10 and THP11 (8
credits).
Required
number of credits to complete 1st year:
36 (courses) + 10 (research project assigned by tutor)
In the second year he/she chooses (in addition to the obligatory GSS)
and THP12, THP14, THP15, THP19, THP21 and THP22 obtaining 28 credits.
Required
number of credits to complete 2nd year: 28 (courses) + 16 (research
project)
Details
of the courses may vary. The minimal number of students in each course shall be
set by the lecturer and the Director of the Graduate School. If there is no
sufficient number of student in the course, the course may be canceled, joined
with other courses or take a different form (seminar, with regular assignment
for the students).
1st
year courses:
|
title |
activity type |
hours/ week |
hours/ year |
form of crediting |
credits |
|
|
|
|
|
|
|
|
General School Seminar |
Seminar
|
2 |
60 |
Participation |
4 |
|
Elements of Quantum Mechanics |
Lectures
Tutorials
|
2 2 |
30 30 |
Exam Test |
4
3
|
|
Quantum Mechanics II |
Lectures
Tutorials |
2 2 |
30 30 |
Exam
Test
|
4
3
|
|
Mathematical
Methods and Differential Equations |
Lectures Tutorials |
2 2 |
30 30 |
Exam |
4 3 |
|
Introduction to Electrodynamics |
Lectures
Tutorials
|
2 2 |
30 30 |
Exam Test |
4
3
|
|
Introduction to Field Theory |
Lectures |
2 |
30 |
Exam/test |
3 |
|
Simulations in Physics (Monte Carlo Methods) |
Lectures, Tutorials
|
2 2 |
30 30 |
Exam/essay/test
|
3 2 |
|
Doing Science with Mathematica and
Maple |
Lecture/ |
2 |
30 |
Project |
3 |
|
Introduction to Theoretical Methods in Biophysics |
Lectures
|
2 |
30 |
Arranged
with Lecturer |
3 |
|
Statistical Physics |
Lectures Tutorials |
2 2 |
30 30 |
Exam Test |
3 |
|
Introduction to Special and General Relativity |
Lectures Tutorials |
2 2 |
30 30 |
Exam Test |
3 2 |
|
Introduction to Observational Astronomy THP11 |
Lectures |
2 |
30
|
Arranged
with Lecturer |
3
|
2nd
year courses
|
General School Seminar GSS |
Seminar
|
2 |
60 |
Participation |
4 |
|
Introduction to Nonlinear Physics THP12 |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
|
Phase Transitions and Critical Phenomena THP13 |
Lectures
|
2 2 |
30 30 |
Arranged
with lecturer |
4 2 |
|
Introduction to Particle Physics THP14 |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
|
Modern Theoretical Physics Seminar THP15 |
Seminar
|
2 |
30 |
Project/essay |
4 |
|
Doing Science with Mathematica and
Maple |
Lectures/ tutorial
|
2 |
30
|
Project |
4 |
|
Advanced Quantum Field Theory THP17 |
Lectures
Tutorials |
2 2 |
30 30 |
Exam/essay Test/ |
4 3 |
Introduction to Econophysics
|
Lectures |
2 |
45 |
Arranged
with lecturer |
4 |
Geometry in Theoretical Physics
THP19 |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
|
Computer Simulations and Modeling |
Lectures Tutorials |
2 2 |
30 30 |
Arranged
with lecturer |
4 3 |
|
Astrophysics: Physics of Stars THP21 |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
|
Cosmology: guide to the Universe |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
Time Series Analysis
THP23 |
Lectures
|
2 |
30 |
Arranged
with lecturer |
4 |
|
Practical Quantum Mechanics |
Lectures Tutorials |
2 1 |
30 15 |
Arranged
with lecturer |
4 3 |
Obligatory courses are marked gray,
courses joined with other specialization
(partially) are underlined.
Courses
Graduate School Seminar
General Seminar aiming at
improving interdisciplinary background of School students.
Diploma Project
One-year project, supervised by a professor, fulfills
requirements for MSc Diploma Thesis of the Jagiellonian University and most
European Universities.
Elements of Quantum Mechanics
Revision of basic
QM: principles, the Schrödinger equation, wave functions, and physical
interpretation. Bound and continuum states in one-dimensional systems. Hydrogen
atom. (joined course with other specializations)
Quantum
Mechanics II
Perturbation theory. Dirac
equation. Relativistic hydrogen atom. Quantum many-body theory. (part of the
course may be joined with a similar course on other specializations)
Mathematical Methods and Differential Equations
Distributions, representations
of Lie groups and Lie algebras, angular momentum, elementary differential equations in physics, biology, chemistry and
engineering. Initial and boundary problems, discretization of differential
problems. Direct and iterative solutions, Linear and nonlinear problems.
Introduction to Electrodynamics
Maxwell equations,
symmetries, equations of motions, Noether theorem, application of
electrodynamics, elements of quantum electrodynamics, tests of quantum
electrodynamics
Introduction to Field Theory
Lagrange function and action,
equations of motion, symmetries, gauge theories, abelian and nonabelian gauge
theories, gauge fixing, methods of quantization of field theories and gauge
theories.
Geometry in Theoretical Physics
Manifolds, vector fields,
differential forms, instantons and monopoles, Dirac monopole,
t’Hoft-Polyakov monopole, topological defects in physics, vortices.
Introduction to Particle Physics
Basics of fundamental
particles and their interactions: quark, gluons, leptons, Z,W bosons, methods
of detections, electroweak and strong interactions.
Introduction
to Theoretical Methods in Biophysics
Introduction to the methods of
theoretical physics used in biology.
Modern Theoretical Physics Seminar
Seminar with students presentations on modern topics
in theoretical physics.
Introduction to Nonlinear
Physics
Introduction to theoretical description
of nonlinear phenomena, physical problems with nonlinear differential
equations, examples. Solitons.
Practical
Quantum Mechanics
Many body problem, dipole moment of the water
molecule, relativistic quantum mechanics:
the Klein paradox in many body sectors. Quantum computers: quantum mechanics of
NOT
and CNOT gates.
Introduction to Special and General Relativity
Basic
concepts, Minkowski space, Lorentz transformations, twin paradox, elementary
solutions; gravity; equivalence principle applications in astrophysics,
singularity theorems, Hawking radiation, gravitational waves.
Basics of Observational Astronomy
Basis of observational astronomy: telescopes,
radioastronomy, X-ray and gamma-ray astronomy.
Astrophysics: Physics of Stars
Introduction to the theory of the
evolution of stars, white dwarfs, neutron stars, supernovae.
Cosmology: Guide to the Universe
Mathematical basics of cosmology,
microwave background radiation, black holes,
matter in the Universe, formation of structures, gravitational waves in
cosmology
Simulations in Physics: Monte Carlo Methods
Mathematical foundation for Monte Carlo (MC) methods;
Random number generators;
statistical tests. Adaptive MC techniques; MC simulation; random walks and
their applications. Metropolis algorithm.
Doing
Science with Mathematica and Maple
Modeling
in physics, biology, medicine and chemistry with mathematical software.
Unification of computing, simulation and visualization. Examples: Chaos with a
heart, synchronization processes in biology, discrete maps and chaos, binary
collisions, dimensional analysis. Duffing equation, chemical oscillators,
frequency analysis of time series, etc.
Computer
Simulations and modeling: from theory to practice
Description: Advanced Monte
Carlo Projects, Molecular Dynamics simulation (course may be joined with
similar a course from other specializations)
Econophysics - modeling of financial markets
Elements of contemporary
financial markets. Time series analysis (random walks, heavy tails phenomena,
GARCH and HARCH modeling) Derivatives - Black Scholes model for options,
Contemporary methods of risk assessment (VaR – Value-at-Risk) Methods of
portfolios construction Genetic and adaptive algorithms, "minority
game".
Time Series
Analysis
Discrete Fourier Transform; Fast Fourier Transform;
Shannon sampling theorem; linear filters, stochastic models AR, MA, ARMA,
ARIMA; wavelets Takens embedding theorem, phase space reconstruction and
nonlinear time series analysis; nonlinear prediction and denoising; statistical
properties of chaotic attractors.
Details of the courses may vary. The minimal number of students in each
course shall be set by the lecturer and the Director of the Graduate School.
If there is no sufficient
number of student in the course the course may be
canceled, joined with other courses or take a different form (seminar, with
regular assignment for the students).