Grading Scheme

The grading scheme for the course, as well as links to specific requirements for each assignment/deliverable and evaluation sheets, are given in the table below. Due dates for each assignment/deliverable can be found on the course Calendar. Please note:

There is a 25% penalty per day for any late submissions. "Late" means handed in after the deadline. Thus, if the deadline is 5pm and you hand in an assignment at 5:01pm, you will be penalized. The penalties are cumulative. If an assignment is due at 5pm on Monday and you hand it in at 5:01pm on Tuesday (two days late), your grade will be (1-25%)^2 of the grade you would have received had you turned it in on time.

Some assignments are "Individual" and team members are individually responsible for completing the assignment on time and will receive an individual grade. Many assignments are "Team" assignments and a single deliverable is handed in by the team. In most cases, all team members will receive the same grade on these assignments. However, the course staff reserves the right to "break up" any group's work and grade individually. This will be done if we feel the work or work quality has not been evenly distributed between group members.

The evaluation sheets provide a sense of what we are looking for with each deliverable. You should keep in mind, though, that the evaluation is not strictly binary. In other words, just because you have "checked off" each component described in the evaluation sheet does not ensure that you will receive a perfect score.

Below is the points breakdown for all assignments/deliverables for the course, sorted chronologically:

* Grades for these will be the average of the TA and Instructor grades; peer review grades will be used to provide feedback.
** Evaluation Sheets are subject to minor changes.

Featured Project

# Problem

During the exam week, it is very difficult to find a seat in the library. Sometimes students cannot find a satisfying seat even if they walk through the library all around. Some students complain about unknown traffic in the library. For more convenient library seats seeking, students would like to know which other seats are empty ahead of time in order to decide whether they will go to the library and where to find available seats.

# Solution Overview

We will design a sensor-based device for each table to detect occupancy. The occupancy data will be uploaded through wifi to the cloud. There will be three states for each seat: occupied by people, occupied by items, or unoccupied. Then we will design an APP to visualize these data.

# Components

## The sensing subsystem:

• Data preprocessing and WiFi module to transfer data (ESP32)

• Multi-kinds of sensors to detect objects and collect data

• Wired power supply to support long-term real-time detection

## Human-computer interaction subsystem:

• Database server to store the collected data

• APP on the phone that allows clients to check the status of library seats

• It can indicate whether the seat is occupied with people (reserved by personal items), occupied without people, or available

# Criteria of Success

• Classify three different states of seats (occupied by people, occupied by items, or unoccupied)

• The accuracy of detecting whether a seat is reserved by items is above 90%

• The accuracy of detecting whether a seat is occupied by people is above 95%

• The sensor-based device APP is user-friendly and accurately visualizes the seat occupation

• The states of the seats get updated every 1 minute in the APP

• Adaptive to different kinds of table in the library (flexibility)

• Implement the database server bidirectionally: upload data from the device and download data to the APP

Item	Team / Individual Score	Points	Evaluation Sheet**
Project Selection Form	Individual	5	None
Lab Notebook	Individual	50	PDF
Weekly TA Meetings	Team	N/A	None
Weekly Team Update Meeting	Team	3/session	None
Team Contract	Team	5
Project Proposal	Team	25	PDF
PCB Design Exercise	Individual	10	PDF
Soldering Exercise	Individual	10	PDF
Design Document Requirements and Verification	Team	40	PDF
Individual Progress Report	Individual	25	PDF
Mock Demo	Individual	5	None
Final Demo *	Team	150	PDF
Final Presentation *	Individual	50	PDF
Final Report: Technical	Team	30	PDF
Final Report: English/Format	Team	20	PDF
Peer Reviews (2 total)	Individual	40 (total)	None
Teamwork & Participation	Individual	20	None

Grading Scheme

Seat U: Sensing System for Real-time Library Seat Occupation Detection

Featured Project