- Specific services
- .NET development
- Mathematical optimization
- UX - User Experience
- Web application
Academic information management and mathematical optimization for the automatic distribution of workplace internships.
- Initial objective
The Faculty of Pharmacy wanted the platform to automatically distribute at least 80% of workplace internships.
The platform developed by Spiria achieves an 85 to 90% of automated internship distribution rate.
Increase in the internship distribution to employee ratio.
The Mandate | A complex assignment
Université Laval’s Faculty of Pharmacy needed to develop an automated internship management system. Indeed, the faculty has undergone major changes in its undergraduate programs, including a growing student body and increasing restructuring of the periods and types of mandatory workplace internships.
The Université Laval’s UGO platform developed by Spiria meant to help the Faculty of Pharmacy to minimize the manual interventions required to manage internships and avoid the various errors related to the decentralization of its administrative information.
A Critical Project for the Faculty
students per year
An increase of approximately 25% in the number of students joining the curriculum.
41 weeks per student. Previously, only 4 four-week blocks.
types of workplaces
Previously, only 2 types of workplaces would host internships.
full-time employees before the UGO Web application
Dedicated to managing manual internship distribution.
The new platform must manage the distribution of
internships in real-time time according
to the following variables :
- The Registration and geographic preferences of each student
- The Internship periods
- The corresponding Course type
- The Availability of workplaces and of clinical faculty lecturers that provide internships
- Tens of thousands of possibilities derived from all variables assigned through mathematical optimization.
The UGO system
Reuse the core of the UGO-Université de Montréal platform implemented by Spiria for the Université de Montréal.
Adapt the mathematical engine to the variables and specifics of the Faculty of Pharmacy.
Improve the platform with new interfaces and add specific rules.