Study

Computing

Computational Methods in Modern Physics

  • Class 45
  • Practice 13
  • Independent work 92
Total 150

Course title

Computational Methods in Modern Physics

Lecture type

Elective

Course code

183467

Semester

6

ECTS

5

Lecturers and associates

Course objectives

High-energy physics events.
High-energy physics events; Application of machine learning to event classification.
Application of machine learning to event classification.
Metric in curved spacetime.
Geodesic equation; Metric in curved spacetime.
Geodesic equation; Tracing photon trajectories.
Tracing photon trajectories.
Midterm exam.
Van der Waals force interactions.
Van der Waals force interactions; Graphene layers.
Graphene layers.
Percolation concepts; Abrupt transitions in behavior; Long range connectivity.
Percolation concepts; Abrupt transitions in behavior; Long range connectivity.
Electrical conductivity in composite materials.
Final exam.

Required reading

(.), V. Šips, I. Rendulić: Uvod u fiziku čvrstog stanja,
(.), General Relativity, MIT OpenCourseWare https://ocw.mit.edu/ans15436/ZipForEndUsers/8/8-962-spring-2006/8-962-spring-2006.zip,
(.), Modelling Environmental Complexity, Percolation Theory chapter, MIT OpenCourseWare https://ocw.mit.edu/courses/earth-atmospheric-and-planetary-sciences/12-086-modeling-environmental-complexity-fall-2014/lecture-notes/MIT12_086F14_percolation.pdf,
(.), Albert, J., et al. (2008). Implementation of the random forest method for the imaging atmospheric Cherenkov telescope MAGIC. Nuclear Instruments and Methods in Physics Research A, 588, 424

Minimal learning outcomes

  • Describe the curved spacetime and light trajectories in the curved spacetime
  • Apply ray tracing technique to optics problems
  • Describe the crystal lattice and interatomic forces
  • Apply the concept of force and energy to finding the optimum configuration of a system
  • Explain the concept of short and long range interactions
  • Identify quantitatively abrupt structural change in a system
  • Apply a machine learning algorithm to a classification problem
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