Experimental Design and Data Analysis, 6 credits

Main field of study with advanced study

60 credits mechanical engineering. English 6.

The course is part of the Master of Engineering: Mechanical engineering, Sustainable design and Innovation.

The aim of the course is developing knowledge and skills needed to plan and analyse experimental studies within the field. By taking part of the course content and performing the course assignments, the student’s scientific approach for conducting experiments will be developed.

Following successful completion of the course the student should be able to:

Knowledge and understanding

• describe scientific and engineering methods and their application
• describe in general of how scientific methods can be applied in mechanical engineering

Skills and ability

• propose a suitable design of experiment, including data management and statistical tests
• structure and visualize data collected for further analysis
• analyse data, including performing suitable statistical tests

Judgement and approach

• critical review of previous studies in the field, based on their experimental design

• Scientific methods
• Experimental design
• Sustainability perspectives in scientific studies
• Data analysis and visualization
• Statistics and probability theory

The course uses concept based modelling (CBM) to understand and apply statistical methods.

The teaching is composed of lecture, laboratory sessions and practical exercises. Teaching is normally in English.

The examination consists of two written assignments and one seminar. The written assignments are performed individually or in a group and involve an individual performance of the practical elements.
During the seminar, the students actively participate in a discussion about pre-handed questions.

The final grade is a weighted grade of the grades obtained from the two written assignments and seminar.

If there are special reasons, the examiner may make exceptions from the specified examination format and allow a student to be examined in another way. Special reasons can e.g. be study support for students with disabilities.

Course evaluation is part of the course. This evaluation offers guidance in the future development and planning of the course. Course evaluation is documented and made available to the students.