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Design and Analysis of Experiments

WZ3223Elective Modules5 ECTSEnglishsummer semesterZentralinstitut für Ernährungs- und Lebensmittelforschung (ZIEL) - Institute for Food & Health
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You learn principles and methods for planning and evaluating experiments as well as fundamental statistical procedures. By the end you will be able to choose appropriate experimental designs, analyze data in R (descriptively and inferentially), and interpret and communicate results correctly.

What you will be able to do

  • Discuss advantages and disadvantages of different experimental designs
  • Understand general statistical concepts
  • Identify concrete statistical questions
  • Develop approaches to solving given statistical problems
  • Analyze datasets with R
  • Evaluate statistical results correctly
  • Communicate statistical information understandably

What the module consists of

  • LectureDelivery of theory and concepts
  • Group workApplication and discussion in small groups
  • ExercisesPractical practice of statistical methods
  • Computer hands-on trainingImplementation of the analysis in R
  • Student presentationsCommunication and presentation of results
  • Homework / self-studyDeepening and pre-/post-processing of the material

Teaching method

  • LectureIntroduction to concepts and methods
  • Group workDevelopment and discussion of solutions
  • DiscussionsCritical reflection and deepening
  • Exercises / examples / demonstrationsPractical application of theory
  • Computer hands-on trainingConcrete data analysis in R
  • Student presentationsTraining in presentation and communication
  • Students' self-dependent study of relevant literatureIndependent review and deepening
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