What it covers
- Students indicate intended courses and seat type preferences (on-campus, online, hybrid)
- Demand aggregation per course, section and program cohort
- Confidence scoring (high, medium, low) based on historical conversion rates
- Advisor checkpoint flags: overload, prerequisite gaps and progression risk
- Feeds directly into the scheduling engine's section planning inputs
- Capacity versus demand gap analysis before the timetable is built
