Capstone – Project
Developing a Project Matching Algorithm for Student Teams
A Collaboration Between
CapSource makes building and scaling industry-integrated project-based experiential learning programs easy. Through a combination of software and services, CapSource helps educators match with companies and design projects based on narrow academic requirements. CapSource is looking to develop a project matching algorithm that successfully provides educators recommendations on what student teams should be formed for projects. The philosophy behind project matching is to take inputs from students and match students into well-rounded, diverse teams on projects that they want to work on. Eventually, we want to offer this as an additional feature as part of the experiential learning process for educators to run in their courses.
Project Topics
Data Management
Product Design & Development
Software Design & Development
Company Information
Company | CapSource |
HQ | New York |
Revenue | Unlisted |
Employees | 10-25 |
Stage | Established Startup |
Hiring Potential | Follow-on Projects, Formal Internship, Entry Level Full-Time, Upper Level Full-Time |
Website | http://www.capsource.io |
Company Overview
Experiential Learning Program Details
School | Lehigh University |
Engagement Format | Capstone - Small Team Consulting Project - Students work in consulting teams of 3-5 directly with faculty and client liaisons on developing real solutions to real-world challenges. |
Course | Computer Science and Business Capstone |
Level |
|
Students Enrolled | 120, Project Teams of 4-6 |
Meeting Day & Time | TBD |
Student Time Commitment | 4-7 Hours Per Week |
Company Time Commitment | 1 Hour |
Duration | 44.29 Weeks |
Program Timeline
Touchpoints & Assignments | Due Date | Type | |
---|---|---|---|
Lehigh Capstone Project Fair
Lehigh Capstone Project Fair |
February 4th, 2021 | Event na | |
Student Program Registration Deadline on CapSource
Student Program Registration Deadline on CapSource |
February 12th, 2021 | Event na | |
Project Kickoff Evaluation
Project Kickoff Evaluation |
February 12th, 2021 | Event na | |
Upload Milestone #1 Deliverable
Upload Milestone #1 Deliverable
|
March 8th, 2021 | Submission Required submission-required | |
Temperature Check Survey Due
Temperature Check Survey Due |
March 12th, 2021 | Event na | |
Upload Milestone #2 Deliverable
Upload Milestone #2 Deliverable
|
April 5th, 2021 | Submission Required submission-required | |
Upload Milestone #3 Deliverable
Upload Milestone #3 Deliverable
|
May 10th, 2021 | Submission Required submission-required | |
End of Term PEER Evaluation
End of Term PEER Evaluation |
May 14th, 2021 | Event na | |
End of Term SELF Evaluation
End of Term SELF Evaluation |
May 14th, 2021 | Event na |
Key Project Milestones
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March 8, 2021 - Initial User Research and Analysis
Understand how our project processes work and delve into project matching in your own perspective, a company perspective, and an educator perspective.
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- Run through the process with the Partnerships team to learn how projects are built
- What are the current steps that the CapSource team takes to connect educators with companies?
- How does CapSource build the scope out with educators and companies?
- What part do students play?
- What part do educators play?
- What part do companies play?
- Connect with experiential educators to understand how they utilize project matching in their experiential learning programs.
- How do educators currently use project matching?
- What are the biggest pain points educators have with project matching?
- What are the biggest gains educators have due to project matching?
- How could we make this process easier for educators?
- Connect with companies who have gone through the process to understand what kind of students they want to work with.
- Should companies play a part in project matching?
- What would companies want as a part of project matching?
- Run through the process with the Partnerships team to learn how projects are built
Suggested Deliverable:
Technical report and presentation that includes findings and analysis from user research.
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April 5, 2021 - Algorithm Recommendations and Data Architecture Development
Synthesis data and develop recommendations for variables that are necessary inputs to satisfy users.
- How can we make the process easy for educators?
- How can we make the process easy for students?
- What are educators trying to accomplish through project matching?
- How can we visualize information valuable to educators about the project matching process?
- How can we match students to the projects they want?
- How can we create well-rounded teams for educators to manage?
- How can companies be allowed to work with the students they want?
Research standard algorithms in use for similar applications. Develop recommendations on the algorithm approach and begin mapping out the data architecture on the variables and their relationships.
Suggested Deliverable:
Technical report and presentation that includes recommendations on variables and algorithm approach and the data architecture developed.
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May 10, 2021 - Project Matching Algorithm Implementation
Develop and implement the project matching algorithm.
Suggested Deliverable:
Efficient and tested algorithm that successfully inputs variables from all stakeholders and delivers the results that educators desire.
Project Resources
There are no resources currently available
Industry Mentors
There are currently no supervisors assigned.
Academic Mentors
Assigned Students
There are currently no students assigned.