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Syllabus:

Electrical Engineering BA (B), Metrology, 7.5 credits


General data

Code: ET096G
Subject/Main field: Elektroteknik
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
Answerable department: Department of Electronics Design
Answerable faculty: Faculty of Science, Technology and Media
Established: 3/30/2017
Date of change: 4/3/2017
Version valid from: 7/1/2017

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 selectionprocess 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

The grades A, B, C, D, E, Fx and F are given on the course. On this scale the grades A through E represent pass levels, whereas Fx and F represent fail levels.

Course reading


Required literature

Author: John P. Bentley
Title: Principles of Measurements Systems
Edition: Fouth Edition or later
Publisher: Pearson, Edinburgh Gate Harlow

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

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.