Electrical Engineering MA, Analysis Methods for Large Data Streams in Simulations and Measurement Systems, 7.5 credits

Aim

The course aims to give a deeper understanding of a spectral measurement system, and how such systems are used to measure selected parameters. Simulation of physical phenomena in detector and radiation source, as well as methods for processing one- and multidimensional data are also treated.

Course objectives

Upon the completion of the course the students should be able to:
- Based on a given problem formulation, choose spectral measurement method for analysis of an object,
- Describe methods for spectral measurements and spectral imaging,
- Model a measurement system using Monte Carlo based metods,
- Model a detector matrix using finite element metods,
- Identify accuracy in measurements using statistical methods,
- Evaluate measurement results based on deviation between simulation results and measurements.

Content

The course focuses on analysis methods, utilizing large data streams, necessary for describing a detector's interaction with a surrounding multispectral measurement system.
- Description of spectral measurement methods,
- Generation of input data for system simulation and component simulation software,
- Optimization of node structure in input data for reasonable execution time,
- Extraction of output data and visualization of large amounts of output,
- Characterization of a detector system with respect to energy resolution.

Entry requirements

Electrical Engineering MA, Sensors and Instrumentation, 6 credits; alternatively Electrical Engineering BA, 60 credits, and a course in modern physics.

Selection rules and procedures

The selection process is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

The teaching consists of lectures, seminars, exercises, and laborations.

The estimated amount of work for the whole course is 200 hours. This means that in addition to scheduled teaching activities, students must independently perform extensive studies and work on the project assignment.

Examination form

L101: Laboratory exercises, 3 Credits
Grade scale: Fail (U) or Pass (G)

P101: Project with written report, 4.5 Credits
Grade scale: Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.

Grading criteria for the subject can be found at www.miun.se/gradingcriteria.

The examiner has the right to offer alternative examination arrangements to students who have been granted the right to special support by Mid Sweden University’s disabilities adviser.

Examination restrictions

Students are entitled to three examination opportunities within one year according to the examination format given in this version of the course syllabus. After the one-year period, the examination format given in the most recent version of the course syllabus applies.

Grading system

Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.