LaTeX templates and examples — Reports

Um template para acelerar a produção de trabalhos para o curso de Engenharia Elétrica da UTFPR campus Pato Branco

Modelo de trabalho acadêmico utilizando LaTeX baseado nas normas da ABNT para o CEFET-MG.

This is a template for students that are going to graduate in Computer Engineering at the Federico II University of Naples.

Template pour le rapport de stage de 3e année à Télécom SudParis en formation Ingénieur. Version 2021 avec : - nouveau logo IP Paris - changement des noms de certaines sections - meilleur positionnement de l'année par rapport au logo et de la boîte vis-à-vis du trait horizontal de bas de page

The university-level STEM Fellowship Big Data Challenge involves undergraduate students using data science tools to undertake team-based research projects broadly related to the field of epidemiology.

This is a template prepared for the AguaClara Team at Cornell University. Each subteam is asked to use this template to create reports for documenting each semester's work. Do good work, and do it often!

Università degli studi di Napoli Federico II Scuola Politecnica e delle Scienze di Base Corso di Laurea Magistrale in Ingegneria Informatica Tesi di Laurea Magistrale in Big Data Analytics and Business Intelligence Artificial Bee Colony Influence Maximization

Magnificent

The CPU scheduling is the basis of multi-programming operating systems. By switching the CPU among processes, the operating system can make the computer more productive. The scheduler controls the way processes are managed in the operating system. Linux supports preemptive multitasking, this means that the process scheduler decides which process runs and when. Balance performance across different computer configurations is one challenge in modern operating systems.Linux has two separate process-scheduling algorithms. If a Linux system performs similar tasks in a regular manner, it could be useful to implement optimizations to the Linux scheduler to optimize the performance of those tasks. In this project, we analyze and evaluate the impact of changing the kernel values on the performance of the calculation of 8,765,4321 digits of pi using the Leibniz formula measuring the time that the system takes to perform the calculation.