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Modeling phenomena in nature - course description

General information
Course name Modeling phenomena in nature
Course ID 13.2-WF-FizD-MPN-S19
Faculty Faculty of Physics and Astronomy
Field of study Physics
Education profile academic
Level of studies First-cycle studies leading to Bachelor's degree
Beginning semester winter term 2020/2021
Course information
Semester 4
ECTS credits to win 5
Available in specialities Computer Physics
Course type obligatory
Teaching language english
Author of syllabus
  • dr hab. Maria Przybylska, prof. UZ
Classes forms
The class form Hours per semester (full-time) Hours per week (full-time) Hours per semester (part-time) Hours per week (part-time) Form of assignment
Lecture 30 2 - - Exam
Laboratory 30 2 - - Credit with grade

Aim of the course

The aim of the course is to familiarise students with the principles of building of mathematical description of physical phenomena and processes in nature as well as with analytical and numerical studies of obtained mathematical methods

Prerequisites

Foundations of physics I-IV, mathematical analysis and linear algebra.

Scope

  1. Introduction to modeling of physical processes: types of models, stages of models building, methods of their verification
  2. . General ideas of dimensional theory: dimensional and dimensionless quantities, fundamental and derived units of measurement, dimensional formulas, functional relations between physical quantities

  3. Examples of dimensional theory applications in mechanics and fluid physics

  4. Physical laws and constitutive relations: fundamental laws, constitutive relations,  equations, of transport of physical quantities and balance equations: mass, heat, momentum, energy, examples of applications

  5. Basic concepts of continuous modeling using differential equations: state, state space, evolution equations

  6. Basic methods of analysis of continuous models expressed with the help of differential equations: linearization, expansions in basis functions, WKB approximation

  7. Stability and robustness  of the model (resistance of solutions to parameters perturbations)

  8. Examples of modeling the dynamics of a rigid body and a system of rigid bodies

  9. Examples of different compartment  models of epidemic spreading SIR, SIR, SI, SIS, SIRS, SEI, SEIR, versions without demographics and with demographics

  10. Variational modeling: examples of variation principles, variation approximations, elements of variation calculus, problems with constraints, variation limitations, variation accuracy

  11. Examples of advanced models: polymer dynamics and vibrating strings, surface waves on water.

Teaching methods

Traditional lecture, conversational and with discussion of certain problems

Class during which students, leaded by the teacher, solve exercises and discuss problems. Students also prepare a 45-minute presentations on modeling of particular physical phenomena in nature present them, answer questions, listen to presentations of colleagues and ask them questions.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Class

The final grade of the class is issued on the basis of points obtained from two written tests and give the oral presentation on a modeling of a selected natural phenomenon

Lecture.
The necessary condition of accede to the final written exam of the lecture is a positive evaluation of the class. The exam consists of theoretical questions and short exercises to be solved and verifies the effects of learning in the areas of knowledge and skills. Obtaining 50% of points guarantees a positive grade.


The final grade is the arithmetic mean of those of the class and the exam.

Recommended reading

  1. L.I. Sedov, Similarity and dimensional methods in mechanics, CRC Press, 1993.
  2. E. van Groesen, J. Molenaar, Continuum Modeling in the Physical Sciences, SIAM, Philadelphia, 2007
  3. H.T. Banks, H.T. Tran, Mathematical and Experimental Modeling of Physical and Biological Processes, CRC Press, 2009
  4. C.A. Smith, S.W. Campbell, A First Course in Differential Equations, Modeling and Simulation, CRC, 2012
  5. B. Cushman-Roisin, Environmetal Fluid Mechanics, available on the author's web page: http://www.dartmouth.edu/~cushman/books/EFM-old.html

  6. D. G. Andrews, An introduction to atmospheric physics, 2 ed, Cambridge University Press, 2010

  7. J.M. Wallace, P.V. Hobbs, Atmospheric science, 2 ed, Elsevier, 2006
  8. Materials provided by a lecturer

Further reading

Notes


Modified by dr hab. Maria Przybylska, prof. UZ (last modification: 29-09-2020 19:07)