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Experimental techniques - course description

General information
Course name Experimental techniques
Course ID 11.9-WE-INFP-TechnEksper-
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study Computer Science
Education profile academic
Level of studies First-cycle Erasmus programme
Beginning semester winter term 2022/2023
Course information
Semester 2
ECTS credits to win 4
Course type obligatory
Teaching language english
Author of syllabus
  • prof. dr hab. inż. Ryszard Rybski
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 15 1 - - Credit with grade
Laboratory 30 2 - - Credit with grade

Aim of the course

To familiarize with the stages of planning and conducting experiments.

To shape ability in conducting experiments and developing and documenting the results of experiments.

To familiarize with the basic methods and measuring instruments.

To shape skills to perform simple measurement tasks.

Prerequisites

n/a

Scope

Information: acquisition and processing. Information as a basic factor for civilisation development of a contemporary society, information society. Experiment as a basic manner of collection information about an object, phenomenon or process. Basic concepts of the information theory.

Elements of the experiment theory. Designing experiments. General rules and procedures for carry out experiments. The significance of mathematical modelling in the experiment methodology. Measurement as a basic element of the experiment methodology.

Analysis and working out of experiment results.

Principles of planning the instrumental realization of the experiment. Nature of the research object and assumed objective of the experiment – their influence on the choice of measurement method and procedure, and  measurement instruments and systems.

Digital processing of measurement signals. Sampling, quantisation and coding. Analog-to-digital and digital-to-analog converters. Digital measuring instruments.

General characteristics of measurement systems.

Teaching methods

Lecture: conventional lecture, problem lecture, discussion

Laboratory: working with source document, group work, laboratory exercises

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture – the credit is given for obtaining positive grades in written tests carried out at least once a semester.

Laboratory – to receive a final passing grade student has to receive positive grades in all laboratory exercises provided for in the laboratory syllabus.

Recommended reading

  1. Tumanski S.: Principles of electrical measurement. Taylor & Francis, 2006
  2. Bhargawa S.C: Electrical measuring instruments and measurements. CRC Press, 2012
  3. Taylor J.R.: An introduction to error analysis. University Science Books, 1997
  4. Lira I.: Evaluating the measurement uncertainty. Taylor & Francis, 2006
  5. Horowitz P., Hill W.: The art electronics. Cambridge University Press, 1999
  6. Dunn P.F.: Fundamentals of sensors for engineering and science. CRC Press, 2011
  7. Miłek M.: Electrical metrology of nonelectrical quantities. Oficyna Wydawnicza Uniwersytetu Zielonogórskiego, Zielona Góra, 2006 (in Polish)

Further reading

none

Notes


Modified by prof. dr hab. inż. Ryszard Rybski (last modification: 11-04-2022 17:43)