Quantitative Methods in Tourism

Master in Tourism and Sustainable Development · TIDES · ULPGC

Christian González Martel
christian.gonzalez@ulpgc.es

Department of Quantitative Methods in Economics and Management · ULPGC

Juan M. Hernández Guerra
juan.hernandez@ulpgc.es

Department of Quantitative Methods in Economics and Management · ULPGC

April 23, 2026

Instructors

Christian González Martel

Modules I & II · Introduction to R · Visual exploratory analysis

Juan M. Hernández Guerra

Module III · Introduction to machine learning

Please email us to make an appointment before coming to tutorials.

Contents

Module I

Introduction to R

  • Data in R
  • Data wrangling
  • Basic statistics with R

Module II

Visual exploratory analysis

  • One-variable visualisation
  • Multiple-variables visualisation
  • Editing reproducible documents

Module III

Introduction to machine learning

  • Regression models
  • Classification models
  • Text classification (NLP)

Practical information

Starts 23 April 2026
Classroom EA 0.1
Official exam dates June 8 · June 29, 2026
Campus Virtual aep26.ulpgc.es · course 2942 — announcements and final grade
Course repo https://github.com/chrglez/quantitative-methods-master-tides
Licence CC BY-SA 4.0

Schedule · Modules I & II

30 h over 6 days of 5 h · 16:00–21:00 at classroom EA 0.1 · short break around 18:00.

Day First half · lecture Second half · hands-on
1 Data in R · Git & GitHub Guided exercise
2 Data wrangling (tidyverse) Guided exercise
3 Basic statistics with R Graded exercise
4 One-variable visualisation Graded exercise
5 Multi-variable visualisation Graded exercise
6 Editing reproducible documents Final submission

Evaluation system

Weights

  • In-class exercises · 50 %
    • Guided exercises · 25 %
    • Proposed exercises · 25 %
  • Final exercise · 50 %
  • Pass threshold · 50 % overall

Weighting across modules

Important

Modules I and II combined count as 50 % of the subject mark. Module III accounts for the other 50 %.

So within the first half of the subject, each module weighs the same: Module I contributes 25 % and Module II contributes 25 % of the final subject mark.

How you submit

Every in-class and final exercise is handed in via a Pull Request from your personal fork of the course repository on GitHub:

  1. Fork https://github.com/chrglez/quantitative-methods-master-tides.
  2. Clone your fork and branch off main at the start of every day.
  3. Solve the template (.R for Days 1–5, .qmd for Day 6), commit and push the branch to your fork.
  4. Open a Pull Request targeting chrglez:main with title Day N — Your Full Name.
  5. I review with inline comments. PRs are never merged — they are the audit trail of your submission.

Campus Virtual is used only for announcements and the final grade. The full Git workflow is covered in the first hour of Day 1.

Resources

Let’s get started

Welcome aboard.