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.
Recent
Thesis template for Institute for Dynamic Systems and Control (IDSC) at the Swiss Federal Institute of Technology (ETH) Zurich. (Downloaded 10 May 2016)
@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
Modelo de Relatório Técnico/Acadêmico em conformidade com ABNT NBR 10719:2015 Informação e documentação Relatório técnico e/ou científico Adapatado para modelo do CPAI
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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