Data Analytics for Sustainability (2023/2024: 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 provide students with state-of-the-art programming methods and tools to analyse different types of data frequently encountered when working on sustainability issues. Using open-source programming tools (R & Python), the students will learn how to treat, visualise and analyse data from a variety of sources. Different modules with specific foci (Programming, GeoSpatial data, Text Mining, and Energy System Modelling) are offered in this course. Each of these modules focuses on its own, domain-specific advanced data analysis techniques. Knowledge about programming and statistics is highly recommended for this course.

Students will first choose between Programming and Geospatial Data for their first module. The second choice will be between Text Mining and Energy System Modelling for their second module. By choosing topics of their interest, students can build their own portfolio of data analysis competencies.

Werkvormen

Lectures

Tutorials

Toetsing

Eindresultaat

Verplicht | Weging 100% | ECTS 7,5

Ingangseisen en voorkennis

Ingangseisen

Je moet inschreven staan voor een van de volgende opleidingen:

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

Je moet een geldige toelatingsbeschikking hebben

Voorkennis

All courses use programming languages (R and/or Python), knowledge of these languages is required to follow this course.

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 18 september 2023 tot en met vrijdag 29 september 2023

Na-inschrijving
Van maandag 23 oktober 2023 tot en met dinsdag 24 oktober 2023

Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien