Course: Data Analysis and
Applied Statistics

  • Level: Master 1
  • Period: Semester 1
  • Language: English
  • Credits: 3 ECTS
  • Teacher/Coordinator: Pierre Vandendriessche

Main Objectives

To take into account the multiple backgrounds, this course is designed to improve basic and advanced knowledge of statistics and probabilities.

Skills Developed

Being able to master all relevant statistical tools related to statistical quality control, process control and R&D in Food Science.



General Content

Tutorial class essentially, interactive lecture, problems, real case studies

  • Basic Statistics: tables, charts
  • Numerical descriptive measures
  • Basic probabilities (events, Bayes, conditional)
  • Discrete distributions (Binomial, Poisson, Hypergeometric…)
  • Continuous Distributions (Normal, Fisher, Student…)
  • Sampling
  • Confidence Intervals (mean, proportion…)
  • Hypothesis Testing
  • Single and Multiple Sample tests (parametric and non parametric)
  • ANOVA (one way, two ways, randomized block design)
  • Post Hoc Tests (Tukey…)



Presentation of case study analyze in groups of 3 or 4 students.

  • 50% written presentation (Power point)
  • 50% oral presentation


Pierre Vandendriessche
Professor, Head of Food Science Department
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