| Ansvarligt institut | Institut for Fødevarevidenskab
80 % Institut for Human Ernæring 20 % | ||||||||||||||
| Forskeruddannelsesprogram | FOOD Denmark | ||||||||||||||
| Kursusdatoer | This course is offered two times per course. Dates for academic year 2011/12: First week september 2011 (already done) Second week 7 - 11 May 2012 Second week: 7 - 11 May 2012 | ||||||||||||||
| Kursus resumé | The course entitled "Introductory MATLAB" is a 5-day focused at PhD (candidate) level with an interest in using the programming and analysis software MATLAB (MAtrix LABoratory) for general Data Analysis and Chemometric modeling. The course offers a platform for students and researchers to start handling and managing their scientific data. The course gives a first impression of the possibilities of MATLAB and its structure, data handling, plotting facilities, and the beginning of programming. | ||||||||||||||
| Kursustilmelding | To sign up for the course, please send an e-mail to: - Jeanette Venla Hansen at jvh@life.ku.dk - José Manuel Amigo jmar@life.ku.dk | ||||||||||||||
| Deadline for tilmelding | Latest two weeks before the starting date (to be announced) | ||||||||||||||
| Pointværdi | 3 (ECTS) | ||||||||||||||
| Kursustype | Ph.d.-kursus | ||||||||||||||
| Rammer for Undervisning | 5 consecutive days course, 7 contact hours per day | ||||||||||||||
| Undervisningssprog | Engelsk | ||||||||||||||
| Begrænset deltagerantal | Maximum 15 participants. | ||||||||||||||
| Kursusindhold | |||||||||||||||
| 1- Introduction to MATLAB interface, 2- Array structures in MATLAB, 3- Basis of Chemometrics. PCA and PLS in MATLAB, 4- Scripts, functions and loops, 5- Plotting tools 6- Tricks and useful stuff, 7- Exam | |||||||||||||||
| Undervisningsform | |||||||||||||||
| - Contact Teaching: the basis of the course teaching will be done by presentations. Lectures in power-point plus examples/exercises with the computer. The students will be able to follow all the exercises in their own computers. - Learning: Apart from the exercises presented at class, the students will be given several exercises that the must solve for the report. - Educational approaches: This course is addressed to PhD student or advanced Master students. The educational background of the students will be different. | |||||||||||||||
| Målbeskrivelse | |||||||||||||||
| Knowledge, skills, competences: - MATLAB interface: being able to "move around" in the most important utilities and windows in MATLAB - Programming: being able to understand the structure of functions and to create small functions independently; to use loops and conditions in MATLAB programming. - Data structure: being to identify and use different arrays structures of MATLAB and different ways of creating structures for data. - Data handling: learn different ways of importing and handling data, searching tools and data managing. - Chemometrics: being able to apply the basic Chemometric tools Principal Component Analysis and Partial Least Squares regression. - Graphical representation: being able to use basic and advanced static and dynamic plots. | |||||||||||||||
| Litteraturhenvisninger | |||||||||||||||
| Handouts and scientific papers provided during the course. | |||||||||||||||
| Kursusmateriale | |||||||||||||||
| Handouts and scientific papers provided during the course; scripts and source code provided during the course. | |||||||||||||||
| Kursusansvarlig | |||||||||||||||
| Jose Manuel Amigo Rubio, jmar@life.ku.dk, Institut for Fødevarevidenskab/Fødevarekvalitet og - Teknologi, Tlf: 353-32570 | |||||||||||||||
| Andre forlæsere | |||||||||||||||
| Miss Gözde Gürdeniz, Department of Human Nutrition Dr. Frans v.d. Berg, Department of Food Science | |||||||||||||||
| Deltagerbetaling | |||||||||||||||
| - There is no course fee for PhD candidates from ANY universities. - There is a fee of 1000 DKK for any other participant. | |||||||||||||||
| Evalueringsform | |||||||||||||||
| Written report based on 5 short examination assignments; work out by the participants individually. The reports have to be handed in maximally one week after the last lecture and are evaluated and credited with PASS/FAIL by the course lectures. | |||||||||||||||
| Kursusbeskrivelsesomfang | |||||||||||||||
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