Course detail

Physical Laboratory I

FSI-TR1 Acad. year: 2024/2025 Summer semester

The course familiarises students with the basics of physical measurements. The course deals with the following topics: comparison of calculated and measured data, numerical integration of the motion equation, model definition, numeric and graphic solution. Individual work of students with laboratory guide and experimental work are preferred.

Language of instruction

Czech

Number of ECTS credits

2

Entry knowledge

Students are expected to have prior basic experimental experience (measurement of basic physical quantities) and mathematical skills necessary for data processing (solving equations, basics of differential calculus).

Rules for evaluation and completion of the course

During the course, students can get points for their homeworks and for reports from experimental measurements. The classification will be based on final points rating. To get the accreditation, the rating better than 50% is necessary.
Attendance is compulsory. Missed lessons and related points may be compensated for via make-up tasks by the agreement with the teacher.

Aims

The aim of the course is to teach the students how to propose and perform simple experiments,
how to process the obtained data and how to express and discuss their results.
Students will improve their individual (technical) thinking, experimental skills and ability to express their ideas orally as well as in written form.

The study programmes with the given course

Programme B-FIN-P: Physical Engineering and Nanotechnology, Bachelor's, compulsory

Programme C-AKR-P: , Lifelong learning
specialization CLS: , elective

Type of course unit

 

Laboratory exercise

26 hours, compulsory

Syllabus

Measurement, acuracy and precision: Introduction to data acquisition
Speed of sound: Resonance method, measuring of time and length – direct method, comparing the both methods; discussion
Toughness of a spring (elongated by its own weight)
Speed of pulse propagation in a spring (What affects the speed? Testing of the hypotheses)
Damped oscillations of a torsional pendulum: Numerical soultion of the equation of motion (The Euler method), theory and experiment.
Pendulum with a rubber string (Equation of motion in 2D)
Stirling's engine: Efficiency.
Convolution: Impulse response in linear systems.
Brachistochrone