REMSY
Overview

REMSY is a project for developing a REsource Management SYstem to aid in scheduling and collecting information on tutoring at Old Dominion University. This project is being developed by the CS410 2013 "Blue Team".

Key Features:

  • Students can sign up to attend tutoring sessions offered by University programs from their mobile devices.
  • Allows for verification of student and tutor presence at scheduled sessions.
  • Records "turn away" for students seeking tutoring in courses for which it is not available.
  • Allows for students to apply to be tutors, form their own study groups/sessions, and provide their fellow students with help in courses for which the University does not offer tutoring.
  • Tracks student use of tutoring resources for analysis by University program administrators and instructors.

Problem Statement
A program's ability to operate is constrained by the availability of their equipment, personnel, and workspaces. It is therefore important that an organization have a customizable system to manage said resources.
Problem Characteristics
  • Locations of resources/events vary.
  • Organizations have diverse resources. What needs to be tracked?
  • Data is not readily available/accessible for processing.
  • There is misuse of program resources.
  • Clients and employees are prone to committing entry/process errors.
  • Current tracking systems are cumbersome.
Who is the customer?
Organizations that provide training and tutoring services (specifically ODU).
Goal
The purpose of our design will be to develop a customizable system for managing various equipment, locations, and personnel in an adaptable and productive manner.
Objectives
The developed system should exhibit the following characteristics:
  • Adaptable to specific datasets
  • Support shared data and resources between separate programs
  • Single management process from top to bottom
  • Minimizes risk of input error
  • Does not overly burden employees/clients
  • Tracks adherence to resource schedule
  • Mines usage data to identify resource surpluses/deficits