An introduction to the engineering role, including mathematical modelling and technical computation for problem solving in general technical fields.
Information searching, written presentations and technical reports are other important parts of the course.
Analysis of measurement data, using statistical methods, is introduced by relevant examples.
Efficient problem solving, use estimates is proposed as a suitable approach for many technical applications.
The course outline is thematic and a topical question is iterated in different parts of the course.
The engenineering role at the workplace is highlighted by guest researchers from future employers.
The engineering professional and scientific identity and gender issues are critically discussed by the participants.
1. After the course the student should be able to account for, and effectively use in an engineering context, different levels of model complexity, ranging from estimations to computer based algorithms.
2. The student should be able to derive a model from a problem text e.g. by using dimensional analysis of the relevant parameters.
3. The student should be able to analyze the quality of the modelling result with regard to uncertainty in assumptions and model parameters.
4. The student should be able to use basic statistical concepts, such as standard deviation and error propagation, in the analysis of measurement data.
5. The student should be able to present their modelling results in a structured way with emphasis on graphical presentations (plots) and following guidelines for a general technical report.
