Iteration 1 Summary
Business Context: A university aims to optimize the assignment of teachers to courses to maximize the overall teaching quality, measured by the sum of grades assigned to each course-teacher pair, while respecting constraints on teacher availability and course requirements.
Optimization Problem: Maximize the total teaching quality by assigning teachers to courses based on their grades. Constraints include ensuring each course is assigned exactly one teacher and each teacher is assigned to no more than a specified number of courses.
Objective: maximize ∑(Grade_ij × X_ij) where Grade_ij is the grade for teacher i teaching course j, and X_ij is a binary decision variable indicating whether teacher i is assigned to course j.
Tables Created: 2
Tables Modified: 1
Tables Deleted: 0
Key Change: Schema changes include creating tables for decision variables and constraint bounds, and updating business configuration logic to handle scalar parameters and formulas.
Status: Complete
Confidence: high
Next Focus: Ready for convergence
Mapping Adequacy: mostly_good
Business Configuration Parameters: 2

Triple Expert Data: Values were determined based on typical university course and teacher capacities, ensuring realistic teaching loads and quality grades.