In this course offered by Spatial Ecology, students are introduced to an array of powerful open-source geocomputation tools and machine learning methodologies under the Linux environment. Those with no exposure to programming under Linux are able to gain skills and confidence in using advanced open source data processing routines. Meanwhile, those with a programming background benefit by enhancing their modelling and coding skills.

Our aim is to equip attendees with powerful tools and endow them with the ability to continue independent development. The skills acquired on this course will be beneficial, not only for GIS applications but for general data processing and applied statistical computing in various fields. These skills lay the foundation for career development as a geographic data scientist.

Dates

On-line teaching: September to November 2025 (8 weeks)

• Lectures: Starting 16 September until 09 October, every Tuesday & Thursday 11:00 – 14:45 UTC (CEST 13:00, EDT 07:00, PDT 08:00)
• Catch-up session: Tuesday 14 October at 11:00 – 14:45 UTC (CEST 13:00, EDT 07:00, PDT 08:00)
• Catch-up session: Thursday 16 October at 11:00 – 14:45 UTC (CEST 13:00, EDT 07:00, PDT 08:00)
• Lectures resume: 21 October until 13 November, every Tuesday & Thursday 11:00 – 14:45 UTC (21 & 23 Oct CEST 13:00, EDT 07:00, PDT 08:00; thereafter check your time zone due to the end-summer time change)*

* See full day-time list at “preliminary course programme“. All classes will be recorded.

5-day in-person workshop in Matera, Italy

• 24 – 28 November, coding hackathon (Highly recommended).

For course reviews from last year’s course, please click here for 2023 and here for 2024.

Info

• Registration (for the on-line course and on-site workshop in Matera)
• Directions – Accommodation (for the on-site in Matera)

Registration is on a first-come, first-served basis and closed when 30 participants have enrolled. Find more registration info here.

Click here to view the full course programme on the official website.

Photo by Planet Volumes on Unsplash.