Average-time-computation

The tracking framework is event based, so the App sends events the instant they happen: to evaluate the average time spent in a lesson we need to run a calculation. Tracking is anonymous by design: the App does not require a login, so we don’t know anything about users. We do track a device id, but we know that in a school environment we will likely have multiple users using the same device. We track app launch events, steps in a lesson, pause and resume events and hub connection events. We attach a session_id to every event where we define a “session” as the time interval when the App is active (sending events) with pauses not longer than 10 minutes, so if the user is not active on the App for more than 10 minutes, a new session is started.

Prime-Power-Tester

Given a natural number as an input, we can check if this number is a prime power.

Waterhouse-s-Theorem

Python Code for Waterhouse's classification theorem on Elliptic curves, defined over a finite field

FEV1-Project

Forced Expiratory Volume in one second (FEV1), measures the volume that a person can exhale in the first second of a forceful expiration after a full inspiration. This measure will be used as an indicator of lung function in this project.