Full schedule#

The course runs for 10 weeks with a following structure:

Weekly timeline Details
Week 1

    Challenge introduction phase

    • 25.-26.9. Kick-off event at Aalto University, Espoo (physical)
    • Find the Kick-off event Programme here!
    • Introduction to the challenge theme, networking with stakeholders, forming teams
    • A half-a-day public seminar with all the participants and collaborators
    • A 1,5-day workshop with the participants and key mentors
    • Getting to know the societal context of the challenge as a team
Week 2-3

    Challenge specification phase

    • Analyzing the broad challenge, learning insights, and getting familiar with data and tools
    • Specification of the team's problem/sub-challenge, gathering resources and contacting stakeholders
    • Online mentoring session: short presentations of each team (5-10 min) and feedback discussion on October 5th, between 2-5 pm
    • Deadline to submit final actionable problem presentations to Digicampus (Oct 12th noon). Written feedback given on Friday 13th on Digicampus
    • 12.-13.10 Data science training at CSC (hybrid), not compulsory, but recommended for those experts who work on data processing and automation
Week 4-5

    Prototyping/ideation phase

    • Rapid ideation of solutions and testing data and tools
    • Online mentoring sessions (All Groups) on October 19th between 2-5 pm - Instructions for prototyping/ideation phase
    • Online mentoring sessions (30 min/team) on October 26th between 2-5 pm
    • 1.11. Mid-term Seminar at the University of Turku with groups and mentors' interaction and feedback day (physical) - Presentation of the solution ideas
Week 6-9

    Solution-building phase

    • Teams work at their own pace on their solutions based on feedback/mentoring
    • Online mentoring sessions (30 min/team) on November 9th, 16th and 23rd between 2-5 pm
Week 10

    Finalization phase

    • Online pitching rehearsals and final group status check (all groups) on November 30th at 2-4 pm
    • 1.12. Final seminar and challenge feedback and summary session at Otaniemi, Espoo (physical)
    • Groups pitch their solutions to the rest of the course, stakeholders, and general audience

Data Science training at CSC#

Geocomputing with Puhti supercomputer#

In this course we will learn the basics of Geocomputing on a supercomputer through a combination of lectures and hands-on activities. The main focus of the course is the Puhti supercomputer, and all the exercises are hands-on. The CSC services discussed in this course are Free-of-charge for academic research, education, and training purposes for Finnish higher education Institutions and state research institutes (subsidized by the Ministry of Education and Culture, Finland). Most of the course content also applies to LUMI supercomputer, which is available for academi users and private business. This course is dedicated to academic researchers planning to use Puhti supercomputer and for data analysts from private companies planning to use LUMI supercomputer. Take a look and undertands more about CSC geocomputing.

Important!

  • Two days course at 12-13.10.2023

  • Course is offered free of charge

  • Registration closed!

👉 Check the open material

Learning outcomes#

After the course the participants should have the skills and knowledge needed to start using CSC supercomputer Puhti for their spatial analysis and spatial data processing tasks. In detail, participants will learn:

  • How to get account and access to Puhti (as part of the prerequisites).

  • How to connect to a supercomputer, and where to store your data (Allas).

  • How to use the modules and the batch job system.

  • How to install own software to a supercomputer (Tykky).

  • How to run your R or Python scripts or GDAL commands on one or several cores.

  • How to use QGIS and other pre-installed GIS-software via the Puhti webinterface.

  • How to get help.

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