Ce document regroupe les codes TIKZ des figures utilisées pour le cours "Champ magnétique créé par des courants électriques" situé à la page http://femto-physique.fr/electromagnetisme/biot_et_savart.php
Ce document regroupe les codes TIKZ des figures utilisées pour le cours "Interactions magnétiques" situé à la page http://femto-physique.fr/electromagnetisme/Interaction magnétique.php
Voor seminarie kregen wij de opdracht een moirépatroon op bestelling te maken. We moesten aanvankelijk het niveaulijnpatroon vinden waarvan de glanskrommen afgeronde vierkanten voorstellen. Gezien we hier vrij snel in geslaagd waren, hebben we de opdracht uitgebreid. Ons uiteindelijke doel werd het maken van vier moirépatronen, met name de vier symbolen van het kaartspel. In dit verslag staat stap voor stap uitgeschreven hoe we tot dit resultaat zijn gekomen, van functies met twee variabelen tot het uiteindelijke plotten van de moirépatronen met het computeralgebrapakket Sage.
Source: https://www.ctan.org/tex-archive/info/symbols/comprehensive
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We all have a good reason to learn a new language; discovering our roots, passion for travel, academic purposes, pure interest etc. However most of us find it hard to become conversationally fluent in a new language while we use traditional resources for learning like textbooks and tutorials on the internet. In this paper we propose a novel approach to learn a new language. We aim to develop an intelligent browser extension, LanGauger, that will help users learn foreign languages. This application will allow users to look up words while they are browsing, by highlighting the text to be learned. The application will then provide a translation of the word, its pronunciation and its usage context in sentences. In addition, this intelligent tutor will also remember what words have been seen by the user, and quiz them on these words at appropriate times. While testing the recall of the user, this feature will also allow users to frequently think about the language and use it.
Research about recommendation systems has increased due to the amount of information that it is available to individuals. In the music context these systems help the individual to filter and discover new songs according the individual's taste. Most of the business music companies use a recommendation system, based on the characteristics of a song listened by an individual, but a group recommendation system is still underexplored. For a shared environment when there is music, the songs selection will be more efficient if a group recommendation system is used. The goal of this project is to develop a music recommendation for a group that, is sharing the same environment, taking into consideration the context. For this reason, in this work we will employ the Spotify API to recover the data of playlists that were listened by an individual, collecting its preferences and adding them to the others individuals playlists.
João Gabriel Bracaioli
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