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Measurement Mathematics (3 cr)

Code: KMA0128-3002

General information


Enrollment

19.11.2021 - 09.01.2022

Timing

03.01.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages

  • English

Degree programmes

  • Bachelor's Degree Programme in Mechanical Engineering and Production Technology (2016-2021)

Teachers

  • Päivi Porras

Scheduling groups

  • Luennot (Size: 0. Open UAS: 0.)

Groups

  • TLPRMEC20S

Small groups

  • Lectures

Learning outcomes

After passing the course, a studentcan use SPSS for quantative statistical analysis and can analyse statistical reports,has knowledge in numerical methods,knows, how to read algorithms,can apply them in practical problems

Implementation and methods of teaching

Contact lectures, weekly assignments

Exam retakes

No exam

Contents

Basics of statistical analysis

- measures of location and deviation
- hypothesis tests,
- correlation,
- regression)

Numerical methods
- interpolation and extrapolation
- curve fitting
- numerical derivation
- numerical integration
- numerical differential equations

Assessment criteria

Grading:
20% learning diary (max 20 points)
40% statistical analysis (max 40 points)
40% numerical methods (max 40 points)

Grade 5: at least 90% of total scores
Grade 4: at least 80% of total scores
Grade 3: at least 70% of total scores
Grade 2: at least 60% of total scores
Grade 1: at least 50% of total scores
Failed: < 50% of max scores

Assessment scale

1-5