Electric Measurement Techniques

5 credits

Syllabus, Bachelor's level, 1TE720

A revised version of the syllabus is available.
Code
1TE720
Education cycle
First cycle
Main field(s) of study and in-depth level
Technology G1F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 2 November 2016
Responsible department
Department of Materials Science and Engineering

Entry requirements

Single Variable Calculus, Scientific Computing I. Linear Algebra and Geometry should have been attended.

Learning outcomes

This course lays the foundation for later experimental studies in the fields of technology and physics.

After a successfully completed course the student should be able to:

  • select electronic measurement systems and sensors and conduct physical experiments inn order to investigate a given problem,
  • use and handle the most common electronic measurement instruments,
  • connect and analyse basic electronic circuits based on a given schematic diagram,
  • evaluate experiments based on known and estimated error sources and different types of measurements,
  • analyse measurement data using MATLAB, Excel or other software tools,
  • basic skills in written communication,
  • present and defend own experimental observations.

Content

Basics of physical measurements, physical units of measurement and SI-units. Historical development of physical and engineering measurements towards today's electronic measurement techniques. Electronic measurement instruments (digital multimeter, oscilloscope) as well as other lab equipment. Basic concepts in electronics and electrical engineering and their application: voltage, current, resistance/impedance och frequency. Passive linear electronic devices: resistor, capacitor, inductor. Basic circuit analysis applying Ohm's law and Kirchhoff's rules. Simple filter circuits, jω-method for the calculation of the complex, frequency-dependent impedance. Application of electronic measurement techniques in industry, science and engineering, embedded and wireless systems. Different types of sensors, their functional principles and applications. Analysis of collected measurement data: curve fitting using physical models, measurement accuracy, error sources.

Instruction

Class-room lectures, calculus exercises, laboratory exercises and computer laborations.

Assessment

Written exam (3 hp), on-site examination in the lab (1 hp), laboratory exercises and a written report based on a set of laboratory exercises (1 hp).

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