Measurement systems: design, modeling and computational methods
7,5 credits, course, master's level, S7013E
Application period starts 2026-09-15
How do we know that a measurement is reliable? Behind every sensor and every data point lies a system that must be designed, modeled, and analyzed.
In Measurement Systems: Design, Modeling and Computational Methods, you learn how to develop and evaluate measurement systems with emphasis on modeling, parameter estimation, and uncertainty analysis.
This advanced-level course covers the full chain from physical process and sensor design to modeling, system identification, and data analysis. The emphasis is on developing and analyzing measurement system models and understanding how disturbances, modeling assumptions, and uncertainties affect overall performance.
You will learn to design simple measurement circuits for electrical quantities, plan and conduct experiments, and estimate parameters in both linear and nonlinear models using numerical methods. Strong emphasis is placed on statistical analysis and uncertainty evaluation. The practical component includes laboratory work where sensors and electronics are connected to a physical process, followed by theoretical analysis in MATLAB and written reporting in English.
The course provides a deep understanding of how measurement data is generated, how it should be interpreted, and how reliable measurement systems can be designed – key competence in research, industry, and advanced engineering development.
This advanced-level course covers the full chain from physical process and sensor design to modeling, system identification, and data analysis. The emphasis is on developing and analyzing measurement system models and understanding how disturbances, modeling assumptions, and uncertainties affect overall performance.
You will learn to design simple measurement circuits for electrical quantities, plan and conduct experiments, and estimate parameters in both linear and nonlinear models using numerical methods. Strong emphasis is placed on statistical analysis and uncertainty evaluation. The practical component includes laboratory work where sensors and electronics are connected to a physical process, followed by theoretical analysis in MATLAB and written reporting in English.
The course provides a deep understanding of how measurement data is generated, how it should be interpreted, and how reliable measurement systems can be designed – key competence in research, industry, and advanced engineering development.
For Programme students
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Optional course within programmes. Can be applied for within the optional space of a programme.
Selectable course in the following programmes:
Mandatory course in the following programmes:
Application for Freestanding course (En)
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Course offered in English to prospective exchange student, nominated for exchange by home university.
7,5 credits, course, master's level, S7013E
Application period starts 2026-09-15
How do we know that a measurement is reliable? Behind every sensor and every data point lies a system that must be designed, modeled, and analyzed.
In Measurement Systems: Design, Modeling and Computational Methods, you learn how to develop and evaluate measurement systems with emphasis on modeling, parameter estimation, and uncertainty analysis.
This advanced-level course covers the full chain from physical process and sensor design to modeling, system identification, and data analysis. The emphasis is on developing and analyzing measurement system models and understanding how disturbances, modeling assumptions, and uncertainties affect overall performance.
You will learn to design simple measurement circuits for electrical quantities, plan and conduct experiments, and estimate parameters in both linear and nonlinear models using numerical methods. Strong emphasis is placed on statistical analysis and uncertainty evaluation. The practical component includes laboratory work where sensors and electronics are connected to a physical process, followed by theoretical analysis in MATLAB and written reporting in English.
The course provides a deep understanding of how measurement data is generated, how it should be interpreted, and how reliable measurement systems can be designed – key competence in research, industry, and advanced engineering development.
This advanced-level course covers the full chain from physical process and sensor design to modeling, system identification, and data analysis. The emphasis is on developing and analyzing measurement system models and understanding how disturbances, modeling assumptions, and uncertainties affect overall performance.
You will learn to design simple measurement circuits for electrical quantities, plan and conduct experiments, and estimate parameters in both linear and nonlinear models using numerical methods. Strong emphasis is placed on statistical analysis and uncertainty evaluation. The practical component includes laboratory work where sensors and electronics are connected to a physical process, followed by theoretical analysis in MATLAB and written reporting in English.
The course provides a deep understanding of how measurement data is generated, how it should be interpreted, and how reliable measurement systems can be designed – key competence in research, industry, and advanced engineering development.
For Programme students
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Optional course within programmes. Can be applied for within the optional space of a programme.
Selectable course in the following programmes:
Mandatory course in the following programmes:
Application for Freestanding course (En)
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Only a few freestanding places are available. This course is part of a programme.
Application for Exchange students at LTU
LTU-47675
Application period starts 2026-09-15
Apply to Measurement systems: design, modeling and computational methods
Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5, LuleåNormal teachingDay-time 50%Spring 2027
Period:Period 4 - 4, v. 13 2027 - v. 22 2027, module 3+5
Location:Luleå
Form of study:Day-time 50%
Language:English
Tuition fees:Information for non-EU/EEA students
Application code:LTU-47675
Application period starts:2026-09-15
Last day for application:2026-10-15
Entry requirements:At least 90 ECTS of completed courses and upper secondary education and documented skills in English language Basic circuit theory, E0003E Circuit Theory, 7,5 ECTS; Mathematical statistics, including probability density functions, expectation and variance, S0001M Mathematical Statistics, 7,5 ECTS; Mathematical analysis, linear algebra, multivariable analysis, Laplace- and Fourier transforms, M0018M Linear Analysis, 7,5 ECTS.
Good knowledge in English equivalent to English 6.
Selection:The selection is based on 30-285 credits
Application information:
Course offered in English to prospective exchange student, nominated for exchange by home university.
Kontakt
Johan Carlson
- Professor
- 0920-492517
- johan.carlson@ltu.se
- Johan Carlson
Updated: