Data Analytics for Sustainability (2025/2026: Periode 2)

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Cursusdoel

Please note: the information in the course manual is binding.

After completing the course, students can:
  • Translate sustainability issues into a data-oriented question and identify the correct methods and tools to treat the question.
  • Understand and explain different data analysis methods and tools.
  • Apply R & Python script languages and associated libraries to process data from different formats, visualise and conduct a data-driven analysis.
  • Derive and report practical implications of the data-driven research.
  • Create impactful materials to communicate to decision-makers.

Vakinhoudelijk

Decision-makers are increasingly faced with the necessity to make complex, sustainability-related decisions. With the ever-increasing amount of data available from a variety of sources, data analysis emerges as an important tool to exploit this data to provide insights for decision-makers.
The aim of this course is to equip students with cutting-edge programming methods and tools for analyzing various data types commonly encountered in sustainability studies. Students will learn how to use use open-source programming tools, R and Python, to process, visualize, and analyze data from multiple sources. The course offers different modules focused on specific areas: Geospatial Data, Text Mining, and Energy System Modelling. Each module introduces advanced, domain-specific data analysis techniques.

The course includes a mandatory programming module to learn the basics of programming and preparing students for the different modules they can choose. Students can then choose two of the following optional modules: Geospatial Data, Text Mining, Energy System Modelling. This choice allows students to tailor their learning and develop a personalized portfolio of data analysis skills.

Even though we propose a mandatory module for programming, some experience and basic knowledge of programming is recommended.

Werkvormen

Lectures

Tutorials

Toetsing

Eindresultaat

Verplicht | Weging 1% | ECTS 7,5

Ingangseisen en voorkennis

Ingangseisen

Je moet inschreven staan voor een van de volgende opleidingen:

  • Innovation Sciences
  • Sustainable Development
  • Sustainable Business and Innovation
  • Energy Science
  • Water Science and Management

Je moet een geldige toelatingsbeschikking hebben

Voorkennis

Er is geen informatie over benodigde voorkennis bekend.

Voertalen

  • Engels

Cursusmomenten

Gerelateerde studies

Tentamens

Er is geen tentamenrooster beschikbaar voor deze cursus

Verplicht materiaal

Er is geen informatie over de verplichte literatuur bekend


Aanbevolen materiaal

Er is geen informatie over de aanbevolen literatuur bekend

Coördinator

dr. J.P.G. van der Pol j.p.g.vanderpol@uu.nl

Docenten

dr. S.J. Norder s.j.norder@uu.nl
dr. M. Gibescu M.Gibescu@uu.nl
dr. J.P.G. van der Pol j.p.g.vanderpol@uu.nl
dr. L.E. Ramirez Camargo l.e.ramirezcamargo@uu.nl

Inschrijving

Let op: deze cursus is niet toegankelijk voor studenten van andere faculteiten, bijvakkers mogen zich dus niet inschrijven.

Inschrijving
Van maandag 15 september 2025 tot en met vrijdag 26 september 2025

Inschrijving niet geopend
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