Course detail

Computer Physics I

FSI-T1FAcad. year: 2016/2017

Individual solution of the physical tasks with utilisation of the
computer. As a mathematical tool the basic numerical methods (derivation,
integration, solution of the system of the equations, interpolation,
regression, solution of the 1st order differential equations) are used.
As a programming environment the students use the Excel, the MATLAB and
the MathCad.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. RNDr. Miroslav Doložílek, CSc.

Department

Institute of Physical Engineering (ÚFI)

Learning outcomes of the course unit

The student acquires the concept and experience of the utilisation of the different programming tools (Excel, MALAB, MathCad) for solution of the engineering computational tasks.

Prerequisites

Hardware. General structure of operating system, principles of user communication. Using the Windows. Word processors and spread sheets - MS Word and MS Excel. Computer networks, Internet, email. MATLAB - basic information. Knowledge of the classic physics on the high school level.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.

Assesment methods and criteria linked to learning outcomes

To receive the accreditation, the student has to solve all entered tasks. The procedure of the solution is documented by written remarks. The result of the solution is hand on as electronic document.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to get acquainted with potential of the PC for everyday work of the engineer. Passing the course the student should be able to utilize the PC for solution of the calculation tasks to technical objects and the evaluation and presentation of the laboratory measurements. The individual work of the students is required.

Specification of controlled education, way of implementation and compensation for absences

Teacher checks the presences on the seminars that are stated in the timetable. The form and the date of the compensation of the missing lessons are specified by teacher.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

DeVries,P.L.: A First Course in Computational Physics. John Wiley & Sons, Inc., 1994.
Gould, H. - Tobochnik, J.: An Introduction to Computer Simulation Methods. Part 1 and 2. Addison - Wesley Publishing Company, 1989.
Potter, F. - Peck, Ch.V.: Dynamic Models in Physics. Vol.1. Mechanics. N.Simonson Company, 1989.

Recommended reading

Barilla, J.: Microsoft Excel pro techniky a inženýry, 1998. (CS)
Dudek, P.: MathCad - příručka pro uživatele. Grada, 1992. (CS)
Zaplatílek,K. - Doňar,B.: MATLAB pro začátečníky. BEN - Technická literatura, 2003. (CS)

Classification of course in study plans

  • Programme B3A-P Bachelor's

    branch B-FIN , 1 year of study, summer semester, elective (voluntary)

Type of course unit

 

Lecture

13 hod., optionally

Teacher / Lecturer

doc. RNDr. Miroslav Doložílek, CSc.

Syllabus

The lecture tends to the introduction of the tasks solved in seminars in computer labs. The emphasis is placed on:
- the physical base of solved exercises,
- the common context of the numerical methods and algorithms used for the solution,
- the programming methods, particularity and restrictions of the programming environment, used for the solution.

Computer-assisted exercise

13 hod., compulsory

Teacher / Lecturer

doc. RNDr. Miroslav Doložílek, CSc.

Syllabus

Introduction to computer physics. Basics of the work in computer labs.
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 nonuniform 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 and Runge-Kutta method.
Harmonic and nonharmonic oscillations.
Building of the physical models in programming environment Matlab and Simulink.
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 the statistics errors and confidence intervals.