Set load caps and competencies
Each faculty member gets a maximum teaching load and a set of courses they are competent to teach.
Faculty & duties
Faculty workload and course allocation
Flip the population and the same engine works: faculty rank the courses they want to teach, load caps and competency requirements act as constraints, and the head of department publishes an allocation instead of negotiating one.
Same problem, different population.
Teaching-load allocation is the same constrained matching problem as elective allocation, except the head of department has to keep working with everyone afterwards.
- Load caps set by regulation and by contract
- Competency requirements limiting who can teach what
- The same popular courses claimed by the same senior faculty every year
- Exam and invigilation duties distributed by whoever answers email last
- A negotiation that costs the HoD weeks of goodwill each semester
How it works
How Allotix runs faculty workload allocation
Faculty rank what they want to teach
Preferences are collected in a controlled window, exactly as they are from students.
Publish the allocation
Run the engine against caps and competencies, then publish the result with the priority rule attached. The outcome belongs to the process, and nobody has to defend it personally.
What you get
Built for this allocation, not adapted to it
- Per-faculty teaching load caps
- Competency requirements per course
- Ranked teaching preferences
- Seniority or rotation-based priority
- Published allocation with the rule on record
FAQ
Faculty workload allocation: frequently asked questions
Can we rotate priority so the same faculty do not always win?
That is exactly what a stated priority rule is for. Rather than seniority alone, the priority basis can encode a rotation, so a faculty member who received their first choice last cycle is ordered lower in the next. The rule is published with the result, which is what makes it defensible.
Related allocations
Section & lab batch allocation
Split a cohort into sections, lab groups or tutorial batches under real capacity limits.
Open elective allocation
The classic: rank the electives, respect the seat matrix, publish a defensible result.
Project & guide allotment
Match students to supervisors and project topics without the annual politics.