Electrical Engineering BA (B), Metrology, 7.5 credits
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• June 1 for a course that starts in the autumn semester
• November 15 for a course that starts in the spring semester
• April 1 for a course that starts in the summer
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Syllabus:
Elektroteknik GR (B), Mätteknik, 7,5 hp
Electrical Engineering BA (B), Metrology, 7.5 credits
General data
- Code: ET096G
- Subject/Main field: Electrical Engineering
- Cycle: First cycle
- Progression: (B)
- Credits: 7,5
- Progressive specialization: G1F - First cycle, has less than 60 credits in first-cycle course/s as entry requirements
- Education area: Teknik 100%
- Answerable faculty: Faculty of Science, Technology and Media
- Answerable department: Electronics Design
- Approved: 2017-04-03
- Version valid from: 2017-07-01
Aim
The course aims to provide students with knowledge about basic concepts and understanding of modern electrical measurement techniques. The measuring system being studied consists of the transformation from arbitrary physical quantities into electrical signals, analogue amplifiers and filters, the conversion to digital signals with subsequent signal manipulation to improve the signal to noise ratio.
Course objectives
After the course the student should be able to:
• develop a basic measurement system after specified signal to noise ratio, sensors, accuracy and dynamic behavior,
• apply different methods to improve signal to noise ratio in a measurement system,
• explain the phenomenon of channel leakage in DFT-analysis and of windowing,
• explain different factors affecting measurement uncertainty,
• explain principles for how noise is transfered and suppressed in measurement systems,
• explain basic princibles for measurement of non-electrical measurands,
• explain principles and limits when time continuous signals are sampled,
• explain principles and limits when time continuous signals are reconstructed,
• explain principles for conversion between analog and digital signals,
• explain principles for time continious and time discret filters.
Content
The course covers:
Sensors, amplifiers, sampling and reconstruction of time-continous signals, conversion between analogue and digital signals, frequency analysis, averaging, correlations, signal manipulation, measurement uncertainty, noise in electrical measurement systems, filters, dynamic properties of measurement systems, electrical instruments, LabView and computer based measurement systems.
Entry requirements
Mathematics BA (A), 18 credits.
Electrical Engineering BA (A), 30 credits, including Basic Electricity, Analogue Electronics and Digital Electronics.
Selection rules and procedures
The selection process is in accordance with the Higher Education Ordinance and the local order of admission.
Examination form
4.0 hp, L101: Practical work
The practical work is examined with a written report and alternatively semindars and written report.
Grading scale: A,B,C,D,E (pass levels), Fx and F (fail levels).
2.0 hp, T101: Theory, The theoretical part is examined using written exams.
Grading scale: A,B,C,D,E (pass levels), Fx and F (fail levels).
1.5 hp, I101: Handin assignment, written.
Grading scale: Pass or Fail
Grading criteria for the subject can be found at www.miun.se/gradingcriteria.
Grading system
Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.
Course reading
Required literature
- Author: M.L Meade and C.R. Dillon
- Title: Signals and Systems
- Edition: Second Edition or later
- Publisher: Chapman & Hall
- Comment: Reference litterature concerning deterministic signal-analysis
- Author: John P. Bentley
- Title: Principles of Measurements Systems
- Edition: Fouth Edition or later
- Publisher: Pearson, Edinburgh Gate Harlow
Reference literature
- Author: G.R. Cooper and C.D McGillem
- Title: Probabilistic Methods of Signal and System Analysis
- Edition: Third edition or later
- Publisher: New York, Oxford University Press
- Comment: Reference litterature concerning probabilistic signal-analysis.