Catalogue de formations transversales pour les chercheurs

50 Catalogue des formations transversales 2023-2024 Acquired skills In this course the participants will learn the basics of programming and in particular how to use Matlab for universal data analysis. MATLAB AND DATA ANALYSIS Goals Matlab is: o A calculator for interactive calculations o A programming language that also provides complex functions with one command o A tool for simple and complicated calculations with large amounts of data o A platform to summarize and automate different steps of the data evaluation (e.g. read in data, sum-marize, statistically evaluate, create graphics and save) o A Swiss Army Knife for data analysis and simulations It is a course for beginners. The aim is that participants without prior programming knowledge learn how to use Matlab for data analysis, statistical evaluation and presentation of results. Description Course contents: o Interactive calculations with Matlab o Automation for repeated tasks, e.g. the similar analysis of several data sets o Fundamentals of programming: functions, loops, if statements o Graphical representation of data/simulations/results o Basic statistics with Matlab o Import of data from files Structure of the course: A few minutes of lecture, then immediately trying out what you have just learned on the computer before continuing with the next topic in the lecture. Regular small exercises for consolidation and self-control. Speaker Jun. Prof. Dr. Marcel LAUTERBACH, Molecular Imaging, CIPMM, Saarland University, Target audience o R1 : PhD Candidate who want to learn a versatile program for their data analysis and want to acquire basic programming knowledge o Prerequisite : Basic computer skills. Programming knowledge is NOT a prerequisite. Practical information o Reference : UDOC0098-1 o Duration : 4 afternoons o Schedule : 1st semester o Location: online o Language: English o Maximum number of participants : 10