Capstone – Project Charter
Using Neural Networks to Unearth Patterns of Consumer Behavior
A Collaboration Between
Company Supervising Team
Course Info & Engagement Details
|School||University of the District of Columbia (UDC)|
|Engagement Format||Capstone - Small Team Consulting Project - Students work in small groups of 2-6 directly with faculty and host company project champions on developing real solutions to real-world challenges.|
|Program||Computer Science and Information Technology|
|Course||The Use of Conscious AI to Improve Business Performance|
|Meeting Day & Time||Monday and Wednesday 4:30pm-5:50pm|
|Student Time Commitment||4-7 Hours Per Week|
|Company Time Commitment||1 Hour|
|Duration||9 weeks (02/29/2020 - 04/30/2020)|
There are currently no students assigned.
December 20, 2019
Collaboration request published. Companies may express interest in participating.
December 29, 2019
School faculty will begin interviewing interested companies and discuss project ideas.
February 21, 2020
Final date for companies to express interest in participating.
February 21, 2020
OFFICIAL PROJECT LAUNCH: We’ll find a time on this day to web conference you into our class to kickoff the project.
February 28, 2020
School faculty and project champion finalize project charter, legal documents, and background materials.
April 30, 2020
OFFICIAL PROJECT END: We’ll find a time on this day to web conference you into our class to close the project.
Key Milestones & Project Process
February 24, 2020 - KICKOFF MEETING @ 5:00 PM ET
Kristi, the Consumer Orbit’s SVP of Analytics / CIO will web conference into class to discuss her product, vision, and the project scope
Prepare for kickoff meeting by familiarizing yourself with Consumer Orbit’s website: https://www.consumerorbit.com
March 6, 2020 - Get Up-To-Speed on Consumer Orbit's Data
Online search data sample and schema from across 200 different retailer and shopping comparison websites:
- How is the data generated?
- How large is the data set?
- What is the data schema and structure?
- Design the input and output of the neural network
March 27, 2020 - Conduct and carry out initial predictive modeling/classification/regression through the use of LSTM (Long-Short Term Memory) neural network architecture of online search data
- Conduct and carry out initial predictive modeling/classification/regression
- Complete LSTM Portion of the project
April 17, 2020 - Reexamine online search data with DNC (Differentiable Neural Computer) architecture to discover and predict consumer behavior patterns
May 6, 2020 - Perform a comparative study and theoretical analysis of the two different results
Pay special attention will be given to potential bias and application research.
Report the results to the company