CoDa-course online is the online version of the CoDaCourse imparted at the University of Girona. This course is accredited by the Association for Compositional Data (CoDa-Association) since 2017 and by the International Association for Mathematical Geosciences (IAMG) since 2011. It was supported by the Statistical Modelling Society (SMS) and the International Association for Statistical Computing (IASC). Course development, instruction, evaluation and other educational processes are tailored to the distance learner.


Structure:

  • The CoDa course is structured into five chapters and one appendix:
    1. Chapter 1. The geometric structure of the sample space (first pages)
    2. Chapter 2. Exploratory analysis and distributions on the simplex (first pages)
    3. Chapter 3. Data pre-processing: irregular data (first pages)
    4. Chapter 4. Linear regression models (first pages)
    5. Chapter 5. On the analysis of grouped data (first pages)
    6. Appendix: Some typical compositional problems (first pages)

    • The course includes two itineraries: basic and advanced. All students must do the basic part. The advanced part is voluntary. The student, depending on her/his interests can choose to make the advanced parts that she/he wishes.

  • Each chapter includes some guided activities to consolidate and develop the theoretical and practical concepts introduced in corresponding chapter. It is highly recommended that students do these activities.
  • Each chapter concludes with a set of exercises that students must do and submit for evaluation.
  • All chapters are accompanied by an extensive and current bibliography.


Specific material for the course:

  • A Course Textbook is provided.
  • All data files required for the course activities are made available to those enrolled.


Course development:

  • A teacher-tutor will be assigned to each student enrolled in the course.
  • Those enrolled in the course can send in any specific queries via email. Inquiries will normally be answered within a week.
  • The evaluation exercises sent in by the student will normally be evaluated and corrected within 15 days.
  • Each student can set their own pace based on their personal time commitments. Commencing from the date of registration, each student has one year in which to complete the practical worksheets, the course activities and evaluation exercices.


All course instructors are expert researchers in the field of Compositional Data Analysis:

  • Carles Barceló-Vidal, PhD in Statistics. Emeritus Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Germà Coenders, PhD in Management Sciences. Full Professor of the Economics Department of the University of Girona.
  • Marc Comas-Cufí, PhD in Statistics. Tenure-eligible lecturer of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Pepus Daunis-i-Estadella, PhD in Statistics. Associate Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Juan-José Egozcue-Rubí, PhD in Physics. Emeritus Full Professor of the Department of Applied Mathematics III of the Polytechnic University of Catalonia.
  • Berta Ferrer-Rosell, PhD in Tourism. Associate Professor of Business Administration and Tourism Department the University of Lleida.
  • Jan Graffelman, PhD in Statistics. Associate Professor of Statistics and Operations Research Department the Polytechnic University of Catalonia.
  • Josep-Antoni Martín-Fernández, PhD in Statistics. Full Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Glòria Mateu-Figueras, PhD in Statistics. Associate Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Maribel Ortego, PhD in Applied Mathematics. Associate Professor of the Department of Civil Environmental Engineering (Applied Mathematics and Statistics sction) of the Polytechnic University of Catalonia.
  • Javier Palarea-Albaladejo, PhD in Statistics. Associate Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Vera Pawlowsky-Glahn, PhD in Mathematics. Emeritus Full Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Santiago Thió Fernández-de-Henestrosa, PhD in Computer Science. Associate Professor of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.
  • Marina Vives-Mestres, PhD in Statistics. Researcher of the Computer Science, Applied Mathematics and Statistics Department of the University of Girona.


For further information about the course structure and have a preliminary look please visit CoDa-classroom and login as a Guest