| Inst. for Fødevarevidenskab | |||||||||||||||||||
| Tidligst mulig placering | Kandidat 1.år til Kandidat 2. år | ||||||||||||||||||
| Varighed | En blok | ||||||||||||||||||
| Pointværdi | 7.5 (ECTS) | ||||||||||||||||||
| Kursustype | Kandidatkursus | ||||||||||||||||||
| Eksamen | Sluteksamen skriftlig og mundtlig eksamen Alle hjælpemidler tilladt Beskrivelse af eksamen: The students will handle in a written report in due time before the oral examination. At the oral examination the students present the results from their projects for fellow students and course teachers. After this presentation all students and teachers participate in a discussion on the project. Vægtning: The written report: 80 % Oral examination: 20 % 13-skala, intern censur | ||||||||||||||||||
| Rammer for undervisning | Lectures (25%), exercises (25%), project work (50%) Not offered 2006/2007 but in 2007/2008 | ||||||||||||||||||
| Blokplacering | Block 1 Ugestruktur: A | ||||||||||||||||||
| Undervisningssprog | Engelsk | ||||||||||||||||||
| Obligatoriske forudsætninger | 270002 Advanced Chemometrics with MATLAB | ||||||||||||||||||
| Begrænset deltagerantal | 50 | ||||||||||||||||||
| Kompetenceområder | |||||||||||||||||||
| The student will understand the basic and advanced methods on the design and analysis of experimental data, statistical inference and experimental domain optimization. The student will be able to apply principles on similar problems in research and the process industry. The student will understand the application of MODDE and JMP for performing data analysis. The student will learn to - perform statistical inference, - use (fractional) factorial design, - computer generated design, - do quality by Design, - evolving operation, - process/product optimization, - measurement optimization, and - optimization towards process robustness. | |||||||||||||||||||
| Kursets målsætning | |||||||||||||||||||
| The course will introduce the student to advanced design of experiment methods with focus on Process Analytical Technological (PAT) relevance. The software packages used throughout the course are MODDE and JMP. | |||||||||||||||||||
| Kursusindhold | |||||||||||||||||||
| Basic design of experiments is an essential part of any scientific investigation. As such statistical process design, monitoring and control are an integral part of the PAT concept. In this course the connection between theory and production process practice will be at the forefront. The methods studied in this course will vary from year to year but each year the main topics are: statistical inference, (fractional) factorial design, computer generated design, Quality by Design, evolving operation, process/product optimization, measurement optimization, and optimization towards process robustness. Computer exercises of simulated and real data using MODDE and JMP are an integrated part of the course. The student will receive an introduction to both programs. It is expected that the student have competences corresponding to a course in basic statistics and the course Advanced Chemometrics with Matlab. | |||||||||||||||||||
| Undervisningsform | |||||||||||||||||||
| The students will be introduced to the theory through lectures. The students will work individually and in groups on a data analytical problem using the taught concepts and software to analyze a problem. The results are formulated in a written report which is orally presented at a seminar at the end of the course. | |||||||||||||||||||
| Litteraturhenvisninger | |||||||||||||||||||
| Design and Analysis of Experiments, D.C. Montgomery, 6th edition, Wiley (2005) Supplemented by scientific papers, book chapters and course notes. | |||||||||||||||||||
| Kursusansvarlig | |||||||||||||||||||
| Frans W.J. van den Berg, fb@life.ku.dk, Institut for Fødevarevidenskab/Fødevarekvalitet og - Teknologi, Tlf: 35333545 | |||||||||||||||||||
| Studienævn | |||||||||||||||||||
| Studienævn LSN | |||||||||||||||||||
| Kursusbeskrivelsesomfang | |||||||||||||||||||
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