1. EVM0040 Measurement Data Processing and Analysis
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Overview
EVM0040 Measurement Data Processing and Analysis
6 ECTS (EAP)
Lecturer: Olga Dunajeva – lectures, practices
room 43
Study Materials → Moodle
EVM0040 Mõõtmistulemuste töötlemine ja analüüs
Course Enrolment Key:
RAM0040

2. ECTS credits, assessment form 6 ECTS, Graded assessment
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Syllabus
COURSE SYLLABUS
Group
Semester
Weekly hours
Lectures
Practices
Midterm exam
ECTS credits, assessment form
RAKM11
Autumn 4 1 2
6 ECTS, Graded assessment
Course aims: to acquire knowledge and to form skills for
chemical measurments planning and execution,
the results of measurment reliability providing
statistical methods and corresponding software applying in processing and analysing the results of measurment.

3. Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Outcomes
Learning outcomes
Student
knows the basic concepts of metrology,
is able to plan and arrange measurement providing reliability of the results of measurement,
on the basis of measurement data can evaluate the result of measurement and its uncertainty,
knows measuring instruments metrological control methods,
can decide on proper methods of data analysis,
can interpret and present the results of the data analysis methods applied,
can use at least one software of data processing and analysis.

4. Course Content / Calendar
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Content / Calendar
Course Content / Calendar
Week
Topics
Assignments 1.
Descriptive Statistics. Exploratory Data Analysis. An Introduction to R.
Assignment 1 2.
Overveiw of Probability and Distributions.
Assignment 2 3.
Hypotheses setting and controlling(t and F tests, ANOVA).
Assignment 3 4.
Correlation and Regression Analysis.
Assignment 4 5.
Least Squares methods.
Assignment 5 6.
Cluster Analysis. Discriminant Analysis. Correspondence Analysis. Principal Component Analysis.
Assignment 6 7.
Design of experiments.
Assignment 7 8.
Mid-term exam 1

5. Course Content / Calendar
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Content / Calendar
Course Content / Calendar
Week
Topics
Assignments 9.
The main principles of measurments and uncertainty of measurment.
Assignment 8
10.
Introduction to quantifying measurement uncertainty.
Assignment 9
11.
The main principles of measurement uncertainty estimation.
Assignment 10
12.
Interrelation between the concepts of precision, trueness, accuracy and measurement uncertainty.
Assignment 11
13.
Overview of the approaches for estimating measurement uncertainty. ISO GUM and Nordtest methods.
Assignment 12
14.
Traceability. Validation and quality control.
Assignment 13
15.
Measuring instruments. Calibration of measuring instruments.
Assignment 14
16.
Mid-term exam 2

6. 1 ECTS = 26 hrs incl contact hrs + individual work
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Assignments
1 ECTS = 26 hrs incl contact hrs + individual work
6*26 = 156 hrs workload =
64 contact hrs + 92 hrs of individual work
Individual work: ~ 6 hours per week
Assingments Summary:
Mid-term exam 1
Mid-term exam 2
in-class/homework assignments + bonuses if submitted by due date:
1 homework = max 1 boonus point
Final eksam
Final Grade = max(0,5*exam ,5*exam 1; Final eksam) +
+ boonuspunktid

7. Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Assessment Criteria
Grading Requirements
Minimum 70% of assignments completed!
Assessment Criteria
All executed works are assessed by 100 points scale:
Grade „1“ „sufficient“ [ ) punkti
Grade „2“ „satisfactory“ [ ) punkti
Grade „3“ „good“ [ ) punkti
Grade „4“ „very good“ [ ) punkti
Grade „5 “ „excellent“ [ ] punkti

8. Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Course Policies
Plagiarism and Cheating
In case of suspicion be ready to clarify issues. If you have cheated or copied your coursemate's work, then you will get 0 points for assignment. If you feel that you have been unfairly treated then you can contact Study Director.
Exam Retakes
Students who want to re-attempt the course exam can just register to consultation for an exam retake;
In the event a students do not pass the course exam on their third attempt, they must retake the course.
Consultation hours
Wednesday – room 44 or 27 every week
Pre-registration is necessary by to

9. Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Olga Dunajeva EVM0040 Measurement Data Processing and Analysis
Study Materials
Study Materials
All course materials are available in Moodle
Study Literature: 
Laaneots, R., Mathiesen, O. An Introduction to Metrology. Tallinn, TUT Press, 2006
Laaneots, R., Mathiesen, O. Mõõtmise alused. Tallinn, TTÜ kirjastus, 2002
Kirkup, L., Frenkel, B. "An introduction to uncertainty in measurement". Cambridge University Press, 2006
Montgomery D.C., G.C.Runger. Applied Statistics and Probability for Engineers (4th edn). Wiley, 2006.
M. Kaljurand, Kemomeetria, TTÜ kirjastus, Tallinn 2008