Chemometrics
Kemometri

FMS210F, 7.5 högskolepoäng

Gäller från och med: Autumn 2021
Beslutad av: Margareta Sandahl
Datum för fastställande: 2021-04-14

Allmänna uppgifter

Avdelning: Food Technology
Kurstyp: Gemensam kurs, avancerad nivå och forskarnivå
Kursen ges även på avancerad nivå med kurskod: KLGN10
Undervisningsspråk: English

Syfte

Build on the knowledge in design of experiments in order to be able to plan and perform more complicated experiments, as well as analyse data in several dimensions.

Mål

Kunskap och förståelse

För godkänd kurs skall doktoranden

• be able to explain and use basic methods in factorial design
• be able to explain and use basic methods in cluster analysis, discriminant analysis, principal components, and partial least squares
• be able to evaluate and discuss results obtained through use of multivariate statistical methods

Färdighet och förmåga

För godkänd kurs skall doktoranden

• plan a factorial design experiment
• suggest which multivariate statistical method should be used on a given problem
• structure and analyse multi-dimensional data materials using computer software for multivariate methods, and critically assess the result
• report the solutions of multivariate statistical problems in written reports and orally at seminars
• autonomously be able to analyse a specific problem at an advanced level with multivariate statistical methods for experimental design and multivariate data analysis and to be able to discuss these.

Kursinnehåll

Complete and reduced factorial designs. Response surface analysis. Cluster analysis, discriminant analysis, principal component analysis (PCA), and partial least squares (PLS).

Kurslitteratur

Brereton, R.: Data driven extraction for science.. Wiley, 2018. ISBN 9781118904664.

Kursens undervisningsformer

Undervisningsformer: Föreläsningar, seminarier, laborationer, övningar, litteraturkurs som självstudier

Kursens examination

Examinationsformer: Skriftlig rapport, inlämningsuppgifter, seminarieföredrag av deltagarna. The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Betygsskala: Underkänd, godkänd
Examinator:

Antagningsuppgifter

Förkunskapskrav: FMA420 Linear Algebra or FMA421 Linear Algebra with Scientific Computation or FMA656 Mathematics, Linear Algebra or FMAA20 Linear Algebra with Introduction to Computer Tools or FMAB20 Linear Algebra
Förutsatta förkunskaper: A basic course in mathematical statistics and basic MATLAB programming.

Kurstillfällesinformation

Kontaktinformation och övrigt

Kursansvariga:
Hemsida: http://www.food.lth.se/