Thursday, April 8, 2021
6:50pm-8:00pm
Registration for this event is now closed. Please contact Matthesa Gregg, Engineering Design Programs Assistant, at matthesa@mie.utoronto.ca if you were unable to register and would like to attend.
Join us as we celebrate the student projects that were created as a result of our Capstone program.
The Capstone program is an opportunity for fourth-year undergraduate students to work on design projects that meet specific client needs. The students work in teams to address real world problems presented by our industry partners. This showcase is the culmination of the program where students display their projects and prototypes.
Attendees will be able to learn more about our students’ innovative design projects and interact with the project teams.
Event Schedule
6:30PM – Students enter Zoom meeting room and disperse into breakout rooms
6:50PM – Event registrants begin entering Zoom meeting room
6:55PM – Opening Remarks-Prof. Dionne Aleman
7:00-8:00PM – Event attendees move between breakout rooms to visit projects
8:00PM – Event ends
Project Listing
Please note, project teams will be unavailable for networking during their grading period.
Finance and Risk Management
- SCP-European Senior Housing Investment Attractiveness Analysis (Grading 7:40-8:00PM)
- DESSA-Designing a Financial Literacy Education Framework to Empower the Next Generation of Young Adults (Grading 7:20-7:40PM)
- FINA- Change Request Prediction (Grading 7:20-7:40PM)
Healthcare and Social Services
- SK- Advancing Radiology with User-Friendly Machine Learning (Grading 7:40-8:00PM)
- HSC- Creating a Voice Recognition System for Image Guided Brain Surgery at SickKids Hospital (Grading 7:20-7:40PM)
- UHT- St.Michael’s Emergency Department Simulation for Zone Overcrowding (Grading 7:40-8:00PM)
- NYGH1- Measuring Operating Cost Savings from the 6S Supply Cart Optimization Project and Redesigning Inventory Management Policies at North York General Hospital (Grading 7:40-8:00PM)
- morLAB2-Web-based scenario creation interface for a pandemic simulator (Grading 7:20-7:40PM)
- morLAB3- Stop the Spread: COVID-19 Public Health Policy Decision Support (Grading 7:40-8:00PM)
- morLAB4- C.O.P.S: COVID-19 Outcome Prediction System (Grading 7:40-8:00PM)
- NYGH2- Medication Administration Compliance & Hospital Acquired Conditions (HACs) Dashboard (Grading 7:40-8:00PM)
- LEAP- Analyzing Inequalities in the Canadian Public Health System (Grading 7:20-7:40PM)
- CSSE- Rethinking Social Purpose Organizations: A Common Approach Repository (Grading 7:00-7:20PM)
Sports Analytics
- CB-A Decision Support System for Canada Basketball Roster Selection (Grading 7:00-7:20PM)
- CBJ-Sentimental Analysis for Hockey Scouting (Grading 7:00-7:20PM)
- CSIP-Improved Ranking Methods to Evaluate and Predict Athlete Performance (Grading 7:00-7:20PM)
Information Systems, Data Visualization, and User Interfaces
- MM- COVID19 TravelSafe Navigation Tool (Grading 7:20-7:40PM)
- morLAB2-Web-based scenario creation interface for a pandemic simulator (Grading 7:20-7:40PM)
- TORCHI- Applying User Centered Design to Revive a Professional Community (Grading 7:40-8:00PM)
- CSIP-Improved Ranking Methods to Evaluate and Predict Athlete Performance (Grading 7:00-7:20PM)
- DESSA-Designing a Financial Literacy Education Framework to Empower the Next Generation of Young Adults (Grading 7:20-7:40PM)
Predictive analytics: Machine learning and forecasting
- MM- COVID19 TravelSafe Navigation Tool (Grading 7:20-7:40PM)
- SK- Advancing Radiology with User-Friendly Machine Learning (Grading 7:40-8:00PM)
- NYGH1- Measuring Operating Cost Savings from the 6S Supply Cart Optimization Project and Redesigning Inventory Management Policies at North York General Hospital (Grading 7:40-8:00PM)
- iNAGO- A Road-Trip Planner Personalized for Your Interests (Grading 7:20-7:40PM)
- morLAB4- C.O.P.S: COVID-19 Outcome Prediction System (Grading 7:40-8:00PM)
- HSC- Creating a Voice Recognition System for Image Guided Brain Surgery at SickKids Hospital (Grading 7:20-7:40PM)
- ECC2- Automation of Weather Forecast Data Summarization (Grading 7:20-7:40PM)
- CD2-Improving Ceridian’s Multiple Time Series Forecasting Module Accuracy (Grading 7:00-7:20PM)
Retail/Supply Chain Management
- CD1- Evaluating Retail & Hospitality Workforce Schedules with Discrete Event Simulation (Grading 7:00-7:20PM)
- CTC1- Delivery Optimization Model for Canadian Tire Corporation (Grading 7:00-7:20PM)
- CTC2- A Machine Learning Approach to Predict Transload Performance via Cubes per Load (Grading 7:00-7:20PM)
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Questions? Contact Matthesa Gregg, Engineering Design Programs Assistant, at matthesa@mie.utoronto.ca or 416-978-6409
Registration
Registrations are closed for this event.
