Articles — Project / Lab Report

Now in its third year, the STEM Fellowship Big Data Challenge is a competition that helps high school students get excited about Data Science and its potential to support inquiry-based learning and problem solving.

AME Fall '17 Senior Design

This report gives an overview of the various machine learning algorithms implemented to detect certain comments that may appear insulting to another participant on a social networking platform. Feature selection was performed using n-grams, and the WEKA machine learning toolkit was used to build supervised learning clasifiers, that provided an accuracy of 82% on the test dataset. The dataset was obtained from the popular data science competition portal, Kaggle.

Relatório final de estágio

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

No SQL db

The idea behind Quiz Challenger was to create knowledgeable environment in which user can share and enhance knowledge by giving and accepting challenge. The Quiz challenger is developed on JavaScript used for front-end and node JS used for back-end development. To dealt with database we use MongoDB.

Ever since the invention of the camera, people started speculating the birth of a video-camera that would take live moving-footage of anything. Videos were to be stored on tapes and reviewed as much as the taker or who owns the footage pleases. Audience depended on the owner of the video. As technology advanced, taking videos became easier and thus its sharing too. Videos can be taken from phones and uploaded right away to social media sites. Tampering with videos and changing their ownership became not only possible but simple. Different methods have been used to determine whether the videos are as they were when taken or not. Some of these methods will be investigated in this report.

Mieliśmy do rozwiązania problem, który polegał na tym, że po otrzymaniu sygnału z anten sieci komórkowej musieliśmy zlokalizować dany telefon w budynku wydziału MiNI. Do określenia były współrzędne x, y oraz piętro w budynku. Projekt ten wykonywaliśmy w ośmioosobowej grupie. Co tydzień spotykaliśmy się na zajęciach, gdzie omawialiśmy postępy w zadaniu i stawialiśmy sobie nowe cele, zadania, a także rozpatrywaliśmy potencjalne problemy. Stworzyliśmy także grupę dyskusyjną, gdzie omawialiśmy rezultaty działań i zawieraliśmy istotne spostrzeżenia nt. projektu. Powstała również wspólna przestrzeń dyskowa, gdzie udostępnialiśmy sobie nawzajem różne dane, skrypty, wyniki, informacje, dokumenty, poradniki, wykresy i statystyki.