Course Name

Course code

Note

{{< fa circle-info >}} Course overview
Short description (2–3 lines): what the course is about, its scope, and what participants will practically learn.

Level: Beginner / Intermediate
Period: 2025–2026
Software: QGIS

{{< fa user-group >}} Instructors

  • Name Surname — Course coordinator
    Affiliation · email · website

  • Name Surname — Lecturer / Tutor
    Affiliation · email

{{< fa list-check >}} Tutorials

This course is structured as a sequence of tutorials. Each tutorial includes learning objectives, step-by-step instructions, and (where relevant) exercises.

  • Tutorial 1 – Installing QGIS
    Type: Intro · Level: Beginner

  • Tutorial 2 – Spatial Data Models
    Type: Theory · Level: Beginner

  • Tutorial 3 – Working with Vector Data
    Type: Practical · Level: Beginner–Intermediate

  • Tutorial 4 – Applied Analysis Exercise
    Type: Exercise · Level: Intermediate

{{< fa pen-to-square >}} Assignments

(Include only if applicable)

  • Assignment 1 – Title
    Short description of the task and expected output.
    Deadline: DD Month YYYY · Weight: XX%

  • Assignment 2 – Title
    Short description.

{{< fa diagram-project >}} Workflow Summary

At a glance, the course follows this workflow:

  1. Setup and orientation
  2. Core concepts and methods
  3. Applied GIS workflows
  4. Practice, exercises, and reflection

{{< fa toolbox >}} Resources

{{< fa desktop >}} Software & Tools

  • QGIS (version X.X or later)
  • Required plugins (if any)

{{< fa database >}} Data

  • Dataset name — short description and source

{{< fa book-open >}} References & Documentation

  • Official QGIS documentation
  • Tutorials, manuals, or readings

{{< fa list-ul >}} Prerequisites

  • Basic GIS knowledge (recommended)
  • Familiarity with spatial data formats (optional)

{{< fa circle-question >}} Practical Information

  • Expected workload
  • How support is provided (class sessions, email, forum, etc.)
  • Submission or participation notes (if relevant)

{{< fa heart >}} Acknowledgements

Data providers, contributors, funding bodies, or reused materials.

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