The Scientific Adventure

This course aims at comprehending the scientific approach as a whole with a focus on sampling strategy and data analysis (hypothesis, sampling design, data collection, descriptive statistics, inferential statistics, communication of the findings).

 

SCAN | #Environment & Data Analysis | 4 ECTS
 

Semester 1 (Fall)

 

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, SKEMA), 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