In addition to selecting courses , you have the following options for defining optimisation parameters.
Modify current student-course assi…
Checking this box means that any existing student course choices will be disregarded during the optimization.
Locked clusters: stud.-course.alloc.fix
Checking this box means that the current allocation of the students will not be changed with locked clusters.
The optimisation number determines the depth of the search for solutions. The larger the number, the more combinations Untis will search in order to find a solution. Valid entries are 1 to 9. No combinations will be skipped if you select 9.
Number of clusters to be created
Max. number of courses per cluster
You can use this parameter to limit the number of courses that are to be scheduled in one cluster.
Max. number of choice changes (Stud.-Co-Ch)
It is usually the goal to find solutions where no student takes two courses in the same cluster since such a solution forces the student to choose other courses, i.e. to change his/her course choice.
However, if it is not possible to find a solution without student clashes, you can also search for solutions that cause students to change their course choices. Enter the maximum number of student course choice changes allowed.
Weighting parameters are used to define to what degree some of the conditions should be taken into account during optimisation. In addition to a weighting value for observing the minimum and maximum number of students per course, there is also a weighting value for the importance of avoiding student clashes.
Once you are satisfied with the course choices, click on <Continue> in order to start actual optimisation .