The Sensometric Society
 

DTU Summer School on Sensometrics (PhD course 02930): The Analysis of Sensory and Consumer Data

  • 17 Aug 2015
  • 9:00 AM (UTC+02:00)
  • 21 Aug 2015
  • 3:00 PM (UTC+02:00)
  • Technical University of Denmark, Lyngby, Denmark (not far from Gothenburg, Sweden - the Pangborn 2015 site)

Course Objectives

To improve the ability of analysing human perception data. Some of the newest statistical methodologies will be covered using the open source software R. The packages sensR, ordinal, SensMixed and lmerTest will be used together with the free software packages PanelCheck and ConsumerCheck.

Learning Objectives

A student who has met the objectives of the course will be able to:

  • Work with R, Panelcheck and ConsumerCheck
  • Plan and analyze simple discrimination and similarity experiments using sensR
  • Analyze replicated discrimination data
  • Perform and understand simple Thurstonian modeling
  • Use mixed models for sensory profile data and consumer preference data by PanelCheck and ConsumerCheck
  • Analyze sensory profile data with the newest scale correction method (using R)
  • Use PanelCheck and ConsumerCheck for simple analysis as well as multivariate analysis (including Tucker-1)
  • Use the R-packages lmerTest and SensMixed to analyze non-standard data with mixed models
  • Analyze ordinal human perception data using the R-package ordinal

Teachers

Professor Per Bruun Brockhoff

DTU Compute, Technical University of Denmark

 
 
Registration fee

  • The course is FREE of charge for all PhD students (both Danish and Internationals).
  • For others*: Dkr. 8250 = 1100 Euro

*Paying participants who are members of the Sensometric Society get a free copy of the following book (worth approx. 10% of course fee): T. Næs, P.B. Brockhoff and O. Tomic, (2010). Statistics for Sensory and Consumer Science, John Wiley & Sons

Evaluation and Diplomas

To pass the full 2,5 ECTS course, active participation in all activities is required. Grades: Pass/Fail.

Please find further information regarding course requirements and registration on

http://www2.compute.dtu.dk/courses/02930/



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