|
Timetable optimisation |
  
|
|
Timetable optimisation |
|
The students timetables module greatly enhances automatic optimisation . The following points are dealt with here:
Classes
Lessons for different students may take place in the class at the same time. If students are assigned to a particular lesson, Untis will itself determine when lessons can take place simultaneously.
Student timetables
Nearly all the points that apply to the optimisation of class timetables are also taken into account when student timetables are optimised. The required parameters (e.g. minimum/maximum lunch break, periods per day etc.) are taken from the student's class.
The weightings are also derived from those of the class. However, a student is naturally not weighted as highly as a class. The more students there are taking a lesson, the higher the relevant weightings.
Cluster conditions
The first phase of optimisation is the allocation run, when all lessons are distributed in the time grid.
The swap optimisation run that follows transposes periods based on class timetables.
Lessons contained in cluster conditionsare scheduled at the same time during allocation optimisation. These conditions do not apply during swap optimisation, and lessons can be moved independent of one another.