Signals and Sensors, 7.5 credits
Signaler och sensorer, 7,5 hp
Course code: EL4009
School of Information Technology
Level: First cycle
Select course syllabus
Finalized by: Forsknings- och utbildningsnämnden, 2024-09-18 and is valid for students admitted for spring semester 2025.
Main field of study with advanced study
Electrical Engineering, First cycle, has less than 60 credits in first-cycle course/s as entry requirements. (G1F)Entry requirements
The course Electrical Circuits and Measurements 7.5 credits or Electrical Circuits and Electronics 7.5 credits. Exemption of the requirement in Swedish is granted. English 6.
Placement in the Academic System
The course is included in the Computer, Electrical, and Mechatronical Engineering Programmes 180 credits and in the Programme Intelligent Systems, 300 credits. The course is also offered as a freestanding course.
Objectives
The course aims for students to acquire knowledge how a measurement system is designed, which type of elements are included, their function and how you model and analyse the system.
Following successful completion of the course the student should be able to:
Knowledge and understanding
- describe the elements in a measurement system and their function
- describe sensor principles for non-electric measurements
- present possible coupling mechanisms between noise sources and the measurement circuit
- present how the uncertainty in a measurement can be estimated and presented
Skills and ability
- from datapoints estimate the model parameters using the LS-method (calibration)
- from the input/output relation derive static characteristics as: sensitivity, non-linearity
- given a dynamic model (differential equation, transfer function) compute output and error signal for typical inputs as: step and periodic signals
- to use Matlab and LabView in measurement applications
Judgement and approach
- judge if a system is suitable for a measurement application according to static and dynamic behaviour
Content
General principles of measurement systems, Static and Dynamic characteristics of measurement systems, Noise in measurement systems, Error calculations, Electrical loading, Sensing and Signal conditioning elements, Signal processing in Matlab, Data Acquisition and signal analysis in LabView.
Language of Instruction
Teaching Formats
Instruction is in the form of lectures and laboratory exercises. The laboratory exercises are reported in writing.
Grading scale
Examination formats
Examination is in the form of a written exam and laboratory works.
2001: Written Examination, 6 credits
Four-grade scale, digits (TH): Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
2002: Laboratory Excercises, 1.5 credits
Two-grade scale (UG): Fail (U), Pass (G)
Exceptions from the specified examination format
If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.
Course evaluation
Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.
Course literature and other materials
Literature list 2025-01-20 – Until further notice
Bentley, John P., Principles of Measurement Systems, 4:e upplagan, Pearson/Prentice Hall, 2005.
Additional course literature:
Gonzales, R. C., Digital Image Processing, 3:e upplagan, Pearson/Prentice Hall, 2008.
Chalmers, D., Sensing and Systems in Pervasive Computing - Engineering Context Aware Systems, Springer, 2011.
