Valid from: Spring 2013
Decided by: FN3/Per Tunestål
Date of establishment: 2013-03-22
Division: Building Materials
Course type: Course given jointly for second and third cycle
The course is also given at second-cycle level with course code: VBM005
Teaching language: English
That the participants shall be able to use MATLAB to do advanced evaluations of their measured data.
Knowledge and Understanding
For a passing grade the doctoral student must Show that he/she understands the basic concepts of programming and data evaluation in MATLAB.
Competences and Skills
For a passing grade the doctoral student must Show that he/she can use MATLAB to solve different types of problems when evaluating measured data.
Judgement and Approach
For a passing grade the doctoral student must Show that he/she can chose the optimal MATLAB tools to solve problems when evaluating measured data.
Many PhD-students that work experimentally do not evaluate their results by efficient and scientific methods, and their results thereby do not get the attention they deserve. It is for example common to see non-physical curve fits and fonts that are too small to read. MATLAB offers a computer environment where one can evaluate measurements and visualize results almost without any limitations. With MATLAB one can therefore realize one's scientific ideas and go from "acceptable" to "perfect". This course gives an introduction to MATLAB as a tool to evaluate measured data with the following parts: 1. Introduction. 2. Commands and structure. 3. Basic curve fitting. 4. Program control. 5. Functions. 6. Advanced graphics and input/output. 7. Strings and data structures. 8. Efficient programming. 9. Advanced curve fitting. 10. Forward-difference simulations. 11. Filtering. 12. Graphical user interfaces. 13. Monte-carlo simulations. 14. Smart uses of MATLAB.
Wadsö, L.: Evaluating measurements with MATLAB.
A compendium that is distributed to the participants.
Types of instruction: Lectures, seminars, exercises. The course consists of 14 lessons (2 h each) with introductions by the course leader and discussions on how to solve different types of problems.
Examination format: Written assignments.
After each lesson one problem shall be solved by MATLAB. A solution should be handed in before the next lesson.
Grading scale: Failed, pass
Admission requirements: Course is open to all PhD-students.
Assumed prior knowledge: None, but it is an advantage if you have worked with MATLAB and/or other programming languages. If you have not, you will be given some exercises to do before the course starts.
Selection criteria: Participant from Builiding Materials.
Lars Wadsö, Building Materials LTH (firstname.lastname@example.org)
Course coordinator: Lars Wadsö <email@example.com>