Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design (collection)

Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design

doi:10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff.v1

Datacite citation style:

Saunders-Smits, Gillian; van der Niet, Astrid; Claij, Cilia (2023): Dataset accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/47cda6be-f4a5-4db3-9634-c074aee1f0ff.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

choose version: version 2 - 2023-12-21 (latest)

version 1 - 2023-12-12

categories

keywords

Cooperative Education, Multidisciplinary Design, Project Based learning, Robotics, Student Experience

time coverage

2023

by Gillian Saunders-Smits

, Astrid van der Niet , Cilia Claij

This collection contains the datasets accompanying the SEFi 2023 paper: Educating Future Robotics Engineers In Multidisciplinary Approaches In Robot Software Design that was published during the SEFI conference in Dublin in September 2023.

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