Experimentation and data analysis
7.5 ECTS creditsInstruction is in the form of lectures, computer exercises, and mandatory laboratory sessions.
The course treats the theoretical foundations of the scientific method and general techniques for experimental work and analysis of measured data. MATLAB is introduced as a tool to use in the analysis of experimental data, visualisation, and presentation. Documentation of results and safety in the laboratory are treated. The major part of the course consists of mandatory exploratory experiments in classical physics and technology. Students investigate a physical system and by analysing measured data formulate a mathematical model describing the relation between the measured data and the variables in question. This involves curve fitting, error analysis, unit analysis, and dimension analysis. The results of experiments and projects are presented in written reports.
The course includes a specialisation component.
The course treats the theoretical foundations of the scientific method and general techniques for experimental work and analysis of measured data. MATLAB is introduced as a tool to use in the analysis of experimental data, visualisation, and presentation. Documentation of results and safety in the laboratory are treated. The major part of the course consists of mandatory exploratory experiments in classical physics and technology. Students investigate a physical system and by analysing measured data formulate a mathematical model describing the relation between the measured data and the variables in question. This involves curve fitting, error analysis, unit analysis, and dimension analysis. The results of experiments and projects are presented in written reports.
The course includes a specialisation component.
Progressive specialisation:
G1N (has only upper‐secondary level entry requirements)
Education level:
Undergraduate level
Admission requirements:
General admission requirements plus Physics 2, Chemistry 1, and Mathematics 4/D, or equivalent
Selection:
Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.
This course is included in the following programme
- Bachelor Programme in Physics (studied during year 1)
- Master of Science in Computer Engineering (studied during year 1)
- Master of Science in Industrial Engineering and Management (studied during year 1)
- Master of Science in Engineering Physics (studied during year 1)