SylabUZ
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 |
Semester | 2 |
ECTS credits to win | 4 |
Course type | obligatory |
Teaching language | english |
Author of syllabus |
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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 |
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.
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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.
Lecture: conventional lecture, problem lecture, discussion
Laboratory: working with source document, group work, laboratory exercises
Outcome description | Outcome symbols | Methods of verification | The class form |
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.
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Modified by prof. dr hab. inż. Ryszard Rybski (last modification: 11-04-2022 17:43)