Add to ORKGWe will discuss how enrollment data and faculty/advisor input can be used to maximize schedule efficiency in course offerings and providing for student success. We will also discuss how best to monitor and rearrange course schedules in light of actual enrollment
Many Computer Science courses at Umeå University run at 50%-pace and students take two courses simul...
[First Paragraph] Developing the master schedule and subsequent student schedules is one of the most...
Presenters and participants will engage in conversations related to data-informed decision making fo...
Abstract-A typical problem in an academic environment is trying to find the best set of courses to o...
Abstract: This paper proposes a class-course-faculty timetabling assigning model for an educational ...
At Rollins, rather than have students register for classes during orientation, faculty members are r...
Methods and procedures for modeling university student populations, predicting course enrollment, al...
We examine how using information on unconstrained demand can improve operational decisions. Specific...
Faculty workload calculations are complex and an institution’s mission directs the level of faculty ...
This paper describes a scheduling system to fulfill the timetabling needs of the Computer Science pr...
In the university, course scheduling and preparation for each semester can be defined as the process...
Community Colleges have been striving to increase student retention and completion. Students are bus...
At most institutions of higher education COVID-19 forced the delivery of courses on-line. This has ...
How much release time should a chair receive? What is the cost per unit for a particular academic pr...
This paper formulates a multi objective zero-one course scheduling model. Through an optimization pr...
Many Computer Science courses at Umeå University run at 50%-pace and students take two courses simul...
[First Paragraph] Developing the master schedule and subsequent student schedules is one of the most...
Presenters and participants will engage in conversations related to data-informed decision making fo...
Abstract-A typical problem in an academic environment is trying to find the best set of courses to o...
Abstract: This paper proposes a class-course-faculty timetabling assigning model for an educational ...
At Rollins, rather than have students register for classes during orientation, faculty members are r...
Methods and procedures for modeling university student populations, predicting course enrollment, al...
We examine how using information on unconstrained demand can improve operational decisions. Specific...
Faculty workload calculations are complex and an institution’s mission directs the level of faculty ...
This paper describes a scheduling system to fulfill the timetabling needs of the Computer Science pr...
In the university, course scheduling and preparation for each semester can be defined as the process...
Community Colleges have been striving to increase student retention and completion. Students are bus...
At most institutions of higher education COVID-19 forced the delivery of courses on-line. This has ...
How much release time should a chair receive? What is the cost per unit for a particular academic pr...
This paper formulates a multi objective zero-one course scheduling model. Through an optimization pr...
Many Computer Science courses at Umeå University run at 50%-pace and students take two courses simul...
[First Paragraph] Developing the master schedule and subsequent student schedules is one of the most...
Presenters and participants will engage in conversations related to data-informed decision making fo...