Study programme 2020-2021Français
Data Sciences V : reproducible research
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-BIOG-077
  • GROSJEAN Philippe
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais030000Q1

      Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19)
      • Production of individual or group work, essay, report, dissertation...
      Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19)
      Evaluation of a practical exercise submitted in the form of a Github repository

      Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)

      • Production of individual or group work, essay, report, dissertation...

      Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)

      Evaluation of a practical exercise submitted in the form of a Github repository

      Content of Learning Activity

      The chapters of this AA are : 

      - Code organization, OOP
      - Code testing & code optimization
      - Packages & continuous integration
      - Databases SQL & noSQL
      - Parallel and cloud computing

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable.

      Other Recommended Reading

      Barnier, J., 2018. Introduction à R et au tidyverse (https://juba.github.io/tidyverse/index.html). Ismay, Ch. & Kim A.Y, 2018. Moderndive: An introduction to statistical and data science via R (http://moderndive.com). Wickham, H. & Grolemund, G, 2017. R for data science (http://r4ds.had.co.nz). Chambers, J.M., 2008. Software for data analysis. Programming with R. Springer, New York, 498pp. Dagnelie, P., 2007. Chambers, J.M., 1998. Programming with data. A guide to the S language. Springer, New York, 469pp. Fortner, B., 1995. The data handbook. A guide to understanding the organization and visualization of technical data. Springer, New York, 350pp.

      Mode of delivery

      • Mixed

      Type of Teaching Activity/Activities

      • Travaux pratiques
      • Exercices de création et recherche en atelier
      • Projet sur ordinateur
      • Etudes de cas

      Evaluations

      The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

      (*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
      Date de génération : 09/07/2021
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