Course detail
Computer Physics
FSI-0PFAcad. year: 2020/2021
Independent physical problems solving using the computer. As a mathematical tool, basic numerical methods (derivation, integration, solution of the system of equations, interpolation, regression, solution of differential equations) are used. As a programming environment students will use the Excel and MATLAB.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Wieder, S.: Introduction to MathCad for Scientists and Engineers. McGraw-Hill, Inc. New York, 1992. (EN)
Zimmerman, R.L. - Olness F.I.: Mathematica for Physics. Addison-Wesley Publishing Company, 1995. (EN)
Recommended reading
Sedláček,M. - Šmíd,R.: Matlab v měření. ČVUT Praha, 2004. (CS)
Šleger,V. - Vrecion,P.: MathCad7. Haar International, Praha 1998. (CS)
Zaplatílek,K. - Doňar,B.: MATLAB pro začátečníky. BEN, Praha 2003. (CS)
Classification of course in study plans
Type of course unit
Computer-assisted exercise
Teacher / Lecturer
Syllabus
Features of the electronic spreadsheet Excel. Kinematics of the uniform acceleration motion.
Building spreadsheet models. Rates of change. Accuracy of the numerical differentiation.
Kinematics of non-uniform acceleration. Simple numerical integration.
Flow of the heat. Simpson's method of integration.
Accuracy and stability of the numerical calculations.
The Second law of the motion. Solving the differential equation by Euler's method. Harmonic oscillations.
Solving the differential equation by Runge-Kutta method. Non-harmonic oscillations.
Building of the physical models in the Famulus programming environment.
Motion in real environment with resistive forces. The damped and driven oscillatory motion.
Evaluation of the experimental results and writing measurement report in MathCAD.
Expressing and calculation of statistics errors and confidence intervals.