Multidisciplinary and interdisciplinary teaching in the Utrecht AI program: Why and how?

Publication date

2020-05-15

Authors

Janssen, ChrisORCID 0000-0002-9849-404XISNI 0000000427320370
Nouwen, RickORCID 0000-0001-9571-4644ISNI 0000000398065728
Overvliet, Krista EORCID 0000-0002-3537-8172ISNI 0000000396426710
Adriaans, FransISNI 0000000392618088
Stuit, SjoerdORCID 0000-0003-3891-2171ISNI 0000000419434423
Deoskar, TejaswiniISNI 0000000126124499
Harvey, Ben M.ISNI 0000000419439662

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

Multidisciplinary and interdisciplinary education can provide relevant insights to ubiquitous computing and other fields. In this article, we share our experience with multidisciplinary and interdisciplinary teaching in the two-year Artificial Intelligence Research Master’s program at Utrecht University, the Netherlands. In particular, we zoom in on our motivation for, and experience with, revising courses in which non-engineering topics can be related to a more engineering inclined audience, and vice-versa.

Keywords

artificial intelligence, Multi-disciplinarity, Interdisciplinarity, Multidisciplinary, Interdisciplinary, teaching, Taverne

Citation

Janssen, C P, Nouwen, R W F, Overvliet, K E, Adriaans, F W, Stuit, S M, Deoskar, T & Harvey, B M 2020, 'Multidisciplinary and interdisciplinary teaching in the Utrecht AI program : Why and how?', IEEE Pervasive Computing, vol. 19, no. 2, pp. 63-68. https://doi.org/10.1109/MPRV.2020.2977741