Electric Measurement Techniques
Syllabus, Bachelor's level, 1TE720
- 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, 3 February 2023
- Responsible department
- Department of Materials Science and Engineering
Entry requirements
Single Variable Calculus. Scientific Computing I or Computer Programming I. One of the courses Linear Algebra and Geometry or Algebra and Geometry should have been attended.
Learning outcomes
The aim of this course is to lay the foundation for later experimental studies in the fields of technology and physics.
On completion of the 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 Python 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, mandatory laboratory exercises and computer laborations.
Assessment
Written exam (3 credits). On-site examination of laboratory exercises (1 credit).Written report based on a set of laboratory exercises (1 credit).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.