LaTeX templates and examples — Reports

Exemple de rapport pour les TIPE (Travaux d'Initiative Personnelle Encadrés) pour les concours d'entrée aux écoles d'ingénieurs à partir de la session 2017. Il y a surtout des exemples sur les différentes manières de composer des équations ainsi que comment introduire des portions de code Python pour illustrer son propos. NB: le script TeXcount pourra vous être utile car il permet de compter les mots utilisés dans chaque section d'un document LaTeX. Vous en trouverez une version en ligne à l'adresse http://app.uio.no/ifi/texcount/online.php Il suffit d'y copier l'ensemble du document (via Ctrl-A/Ctrl-C puis Ctrl-V dans la fenêtre idoine) pour obtenir le récapitulatif tout en bas de la page qui s'ouvre alors. (You can also get the word count in Overleaf by clicking on "Word Count" at the top of the file list panel.)

En el siguiente informe se muestran los datos obtenidos en el laboratorio numero 1 de circuitos y dispositivos, el cual se basa en circuitos en serie y paralelo, y cuales son sus voltajes corrientes y potencias.

Voila le rapport d'anglais pour le groupe du vendredi

A stylized lab report for college chemistry classes. Designed specifically for the Santa Rosa Junior College Chemistry courses, but will generalize to any chem lab classes.

Project Report Template for Department of Mechanical Engineering, Vidya Pratishthan's College of Engineering, Baramati

O trabalho descreve um simples aplicativo desenvolvido em para sistema android studio

Séries temporelles

We were asked to design our own Electrocardiogram. Obviously, recording heart beats without any noise is a real challenge. Seeing the prices of those kinds of devices, we could already imagine that reaching great performances with our means would be difficult. However, the real goal of this project was to be able to analyze the different problems we encountered and to think about possible improvements we could have provided to overcome them.

Principal Components Analysis (PCA) and Canonical Correlation Analysis (CCA) are among the methods used in Multivariate Data Analysis. PCA is concerned with explaining the variance-covariance structure of a set of variables through a few linear combinations of these variables. Its general objectives are data reduction and interpretation. CCA seeks to identify and quantify the associations between two sets of variables i.e Pulp fibres and Paper variables.PCA shows that the first PC already exceeds 90% of the total variability. According to the proportion of variability explained by each canonical variable , the results suggest that the first two canonical correlations seem to be sufficient to explain the structure between Pulp and Paper characteristics with 98.86%. Despite the fact that the first the two canonical variables keep 98% of common variability, 78% was kept in the pulp fiber set and about 94% of the paper set as a whole. In the proportion of opposite canonical variable,there were approximately 64% for the paper set of variables and 78% for the pulp fiber set of variables kept for the two respectively.