Javascript must be enabled for the correct page display

Visualizing and optimizing the topography learning process using SlimStampen

IJsselmuiden, Max, M.J.H. van (2021) Visualizing and optimizing the topography learning process using SlimStampen. Master's Thesis / Essay, Human-Machine Communication.

[img] Text
Thesis_Max_van_IJsselmuiden_Feedback_SlimStampen.pdf
Restricted to Registered users only

Download (2MB)

Abstract

De begeleider en/of auteur heeft geen toestemming gegeven tot het openbaar maken van de scriptie. The supervisor and/or the author did not authorize public publication of the thesis.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Borst, J.P. and Rijn, D.H. van
Degree programme: Human-Machine Communication
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 09 Sep 2021 11:39
Last Modified: 09 Sep 2021 11:39
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/26072

Actions (login required)

View Item View Item