LaTeX templates and examples — Theses
LaTeX thesis templates to help you navigate an important step in your career. These thesis templates, many provided by universities as official layout guidelines, include sections to add author information, along with placeholder chapters for your introduction, background, method, results, conclusion / discussion, references, and appendices.
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@Author: Jacem Chaieb @Date: 2015-07-26 13:42:06
(An unofficial) Bangor Electronic Engineering Dissertation LaTeX Class. This is a heavily modified version of Cameron Gray's "bangorcsthesis", the official Computer Science Thesis LaTeX Class - bangorcsthesis
Modelos de documento a ser utilizado no projeto de graduação.
Een uitstekende template werd ons aangeleverd door Bruno Volckaert. Je kan de broncode hier downloaden of hier een voorbeeld-pdf bekijken. Deze template wordt door het decanaat aanbevolen als vervanger van de template die hier vroeger te vinden was wegens minder problemen met het bladformaat bij het drukken. Let op: in deze stijl is er per hoofdstuk een referentielijst. Indien dit niet gewenst is, kan je in de intro en elk chapter op het einde \bibliographystyle{phdbib} en \bibliography{PhD} weglaten, en dit éénmaal toevoegen op het einde van het hoofdbestand PhD.tex na de includes van de verschillende hoofdstukken. (Downloaded from
An example template of how to create a dissertation style for UWE Bristol (BSc Mathematics/Mathematics and Statistics programme) with margins compatible with MS Word templates (so correct for page limit rules). This also allows you to separate out References and Bibliography entries.
Thesis template for Pacific University Capstone Thesis based on the template for Cambridge University uses PhDThesisPSnPDF Class MIT License (c) 2015 Krishna Kumar
A thesis/report template.
Template para apresentação do Trabalho de Conclusão de Curso do alunos do Bacharelado em Sistemas de Informação da UFRPE.
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.
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