{{ role === 'staff' ? 'Administrative Configuration' : 'Professor Preferences' }}

{{ role === 'staff' ? 'Capture every hard & soft constraint before sending the run to the MILP solver.' : 'Update your teaching availability and preference constraints.' }}

Constraint Builder

Term Configuration

30-minute blocks enforced

Semester Dates

Semester Start Date

First day of classes

Semester End Date

Last day of classes

Duration: {{ semesterDuration }} weeks

Number of Weeks

Must match semester duration

Days (comma separated)

Invalid day names

Day Start Time Day End Time Lunch Start Lunch End

Classrooms

No classrooms defined.

Room {{ idx + 1 }}

Instructors

No instructors defined.

Instructor {{ idx + 1 }}

Allow Lunch Back-to-Back Preference

Availability (JSON array of {"day":"Mon","period_index":0})

Courses

No courses defined.

Course {{ idx + 1 }}

Type Weekly Hours Instructor ID Expected Enrollment

Students & Cohorts

No students defined.

Student {{ idx + 1 }}

Enrolled Courses

Add courses first to enable enrollment

{{ course.id }} - {{ course.name }}

Soft Constraint Weights

Adjust weights for soft constraints. Higher weights mean stronger preference enforcement.

S1: Student Conflict Weight (w₁) Penalize student schedule conflicts S2: Instructor Compactness Weight (w₂) Penalize gaps between instructor's courses S3: Preferred Time Slots Weight (w₃) Penalize evening (after 18:00) & lunch scheduling

Raw JSON Preview

Identify Yourself

Weekly Availability

Click 30-minute slots to toggle. Red means unavailable.

Preferences

Allow Lunch Teaching

Willing to teach during 12:00-13:00 block.

Back-to-Back Preference

CourseOptimizer AI

Thinking

Ask anything about the schedule

Counterfactual Analysis

Test "what-if" scenarios to understand constraints and trade-offs.

Generate or select a schedule first to run what-if analysis.

Query Type

Course or Instructor Day to Avoid

Course Week

Required: Course must be scheduled at this specific week

Day Time Period

Course Week (optional - leave blank for all weeks) Day Time Period

Course Room

Course Time Period

Result

Feasible

Original objective: {{ whatIfResult.original_objective?.toFixed(2) || 'N/A' }}

Alternative objective: {{ whatIfResult.alternative_objective?.toFixed(2) || 'N/A' }}

Change: {{ whatIfResult.objective_difference >= 0 ? '+' : '' }}{{ whatIfResult.objective_difference?.toFixed(2) || 'N/A' }}

Soft Constraints:

S1 (Conflicts): {{ whatIfResult.soft_constraints.S1_student_conflicts?.weighted_penalty?.toFixed(2) || '0.00' }}

S2 (B2B): {{ whatIfResult.soft_constraints.S2_instructor_compactness?.weighted_penalty?.toFixed(2) || '0.00' }}

S3 (Lunch): {{ whatIfResult.soft_constraints.S3_preferred_time_slots?.weighted_penalty?.toFixed(2) || '0.00' }}

Showing alternative schedule on calendar

Infeasible

{{ whatIfResult.iis_summary.num_constraints_in_iis || 0 }} conflicting constraints

Explanation

{{ run.run_id }} {{ run.status === 'time_limit_feasible' ? 'Time Limit' : run.status }}

Objective: {{ run.objective_value ? Math.round(run.objective_value) : '—' }}

No feasible solution

Solver error occurred

{{ semesterTitle }} Schedule Visualization

View Schedule for: Showing only courses for {{ (currentRunInput?.instructors || inputForm.instructors).find(i => i.id === viewingProfId)?.name || viewingProfId }}

Optimal Schedule Found Good Schedule Found (Time Limit Reached) Infeasible Problem Solver Error

{{ calendarEvents.length }} course sessions scheduled • Objective: {{ Math.round(currentResult.objective_value) }} {{ currentResult.improvement_summary }} No valid schedule exists that satisfies all hard constraints. Check the AI Assistant for details. {{ currentResult.diagnostics?.error || 'An error occurred during optimization' }}

No schedule generated yet.

Infeasible Problem

No valid schedule exists that satisfies all hard constraints.

Conflicting Constraints (IIS):

{{ constraint }}
... and {{ currentResult.diagnostics.iis.length - 10 }} more

Check the AI Assistant tab for a detailed explanation.

Solver Error

An error occurred during optimization.

Error Details:

Check the AI Assistant tab for more information.

Time Limit Reached: The solver found a good schedule but didn't reach optimality within the 5-minute time limit.

Soft Constraint Breakdown:

• Student Conflicts: {{ Math.round(currentResult.soft_constraint_summary.S1_student_conflicts.weighted_penalty) }} (weight: {{ currentResult.soft_constraint_summary.S1_student_conflicts.weight }})

• Instructor Compactness: {{ Math.round(currentResult.soft_constraint_summary.S2_instructor_compactness.weighted_penalty) }} (weight: {{ currentResult.soft_constraint_summary.S2_instructor_compactness.weight }})

• Preferred Time Slots: {{ Math.round(currentResult.soft_constraint_summary.S3_preferred_time_slots.weighted_penalty) }} (weight: {{ currentResult.soft_constraint_summary.S3_preferred_time_slots.weight }})

Viewing Alternative Schedule: This is the what-if scenario result.

{{ calendarEvents[activeTooltipIndex].courseName || calendarEvents[activeTooltipIndex].courseId }}

Room: {{ calendarEvents[activeTooltipIndex].room }}

Instructor: {{ calendarEvents[activeTooltipIndex].instructor }}

Time: {{ calendarEvents[activeTooltipIndex].timeString }}

Day: {{ calendarEvents[activeTooltipIndex].dayName }}