The Scientific Adventure

SCAN aims to appreciate the scientific approach as a whole, from the sampling strategy and experimental design, to data analysis (hypothesis, sampling plan, data collection, descriptive statistics, inferential statistics) and communication of results. A 4-day mission at sea in the Lerins Islands allows students to collect their own data which they then analyze and communicate.

program: Science & Society
code name: SCAN
module family: #Environment & Data Analysis  
credits: 6 ECTS
semester: Fall (semester 1)

UN Sustainable Development Goals:

 

LEARNING OUTCOMES

 Students should

  • develop and carry a study or research program with the appropriate objectives and methods
  • design and conduct appropriate sampling strategy and experimental design
  • analyze scientific data (descriptive and inferential statistics)
  • format results, draw reliable conclusions and communicate (spoken, written and presentational skills)

TOPICS

  • The Scientific approach
  • Sampling & experimental design
  • Descriptive statistics
  • Hypothesis testing
  • Lab: 3-day field trip at Sea (Iles de Lérins, Cannes) to collect the data used in the project
  • Workshop: coaching on the project advancement

INSTRUCTORS

  • Christophe MOCQUET (UCA), course coordinator
  • Aldine AMIEL (IRCAN lab, UCA)
  • Steeve COMEAU (CNRS LOV, Sorbonne)
  • Lionel GUIDI (CNRS LOV, Sorbonne)
  • Luisa MANGJIALAJO (ECOSEAS lab)
  • Eric ROTTINGER (IRCAN lab, UCA)

ASSESSMENT

  • Written examination (midterm & final)
  • Project: oral presentation and article (on the field trip project)
The other Semester 1 modules
The other #Environmental Data analysis modules