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Measurent Result Analysis (C0210), 5 op
Basic information
| Course name: | Measurent Result Analysis Measurent Result Analysis |
| Course Winha code: | C0210 |
| Kurre acronym: | MRA |
| Credits: | 5 |
| Type and level of course: | Professional studies |
| Year of study, semester or study period: | 4.year |
| Implementation: | Autumn semester, 1.period, 2.period |
| Semester: | 0708 |
| Language of tuition: | English |
| Teacher: | Veli-Matti Taavitsainen |
| Final assessment: | Grading scale (0-5) |
Descriptions
Prerequisites
Basic Course of Mathematics (MATLC0020)
Integral Calculus and Laplace Transforms (MATLC0128)
Course contents (core content level)
? The nature of statistical variation
? Graphical tools for describing statistical properties of measurement data
? Computational (mathematical) tools for describing statistical properties of measurement data
? Basic concepts of probability, random variables and their distributions
? Measurement uncertainty
? Confidence intervals
Course contents (additional)
Core content level learning outcomes (knowledge and understanding)
The student learns to take into account the measurement uncertainty in analysing various kinds of measurement data.
The student learns the basic concepts and tools of statistical data analysis.
The student learns the basic principles of statistical experimental design (DOE)
The student acquires the knowledge to learn and to apply tools of statistical quality control including the ones used in Six Sigma quality policy.
Core content level learning outcomes (skills)
Recommended reading
Teaching and learning strategies
Laboratory
Projects
Teaching methods and student workload
Exam
Self-study
Laboratory assignments
Report/project
Assessment weighting and grading
Exam, Project