13E061PF2 - Practicum in Physics 2

Course specification
Course title Practicum in Physics 2
Acronym 13E061PF2
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 2.0 Status elective
    Condition none
    The goal Upgrading the knowledge gained in courses Fundamentals of Physics 1 and Physics 2. Introducing students to the methods for software implementation of mathematical and physical models developed for certain phenomena, which can be adapted and applied on the variety of phenomena in topics covered not only by physics, but other mathematical, engineering sciences, as well as human or social sciences.
    The outcome Acquiring necessary skills for computer modeling of physical phenomena. Performing simulations of systems from the field of electrical engineering, medicine, biology, economy, sociology, climatology, etc.
    URL to the subject page
    URL to lectures
    Contents of lectures none
    Contents of exercises 1. LHO, damped, forced oscillator. Adaptation for applications in medicine and economy. Nonlinear oscillators: van der Pol's equation, Lotka-Volterra equations, Lorentz attractor. Applications in medicine, biology, and economy. 2. Optics. Designing of thin films structures. 3. Continuity equation. Applications for traffic modeling.
    1. D. Gvozdić, J. Crnjanski, M. Krstić: "Practicum in Physics 2",
    2. S. S. Strogatz, "Nonlinear dynamics and chaos," Perseus Books, 1994 (Original title)
    3. J. Walker, D. Halliday, R. Resnick, "Fundamentals of physics,“ John-Wiley & Sons, Inc., 2014 (Original title)
    4. D. G. Zill, "A first course in differential equations with modelling applications," Brooks/Cole, 2013 (Original title)
    5. D. Acheson, "From calculus to chaos," Oxford University Press, 1997. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    0 0 2
    Methods of teaching During the classes, a certain mathematical or physical model and its implementation will be introduced. Students are expected to independently assemble the model, perform software implementation, and discuss the results. Students will generate an electronic report which will be scored as a part of the pre obligations. The pre obligations can be also fulfilled through homework assignments.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 35 Test paper 30
    Practical lessons 35 Oral examination 0
    Colloquia 0
    Seminars 0