The Induced Course Load Matrix (ICLM) model is used to determine Full Time Equivalent
Student (FTES) distribution across the colleges. The ICLM uses historical information
to predict which courses a student will take, based on their major. Current and historical
ICLM reports can be retrieved on the Institutional Research website.
The following table represents a sample ICLM report. It shows actual (unduplicated)
Headcount Majors by college (column on the left). This is followed by the actual FTES
those students generated in each college. The total for each row shows the total FTES
generated by the majors in each college across the University. The total for each
column shows the FTES generated by each college through the courses it offered to
all students of the University.
In this example, the College of Applied Sciences and Arts (ASA) generated 3,954.40
FTES through delivering its courses. Within that number, 3,039.13 FTES were generated
by CASA’s own students (their own majors), and 172.00 FTES were generated by Business
majors enrolling in CASA’s courses. Majors from Education enrolling in CASA’s courses
generated 60.72 FTES, and Engineering majors generated 64.42 FTES, etc.
In the same way that ICLM shows which students generated the FTES for a given college,
it can also predict the FTES that will be required for each college when future plans
for students (Headcount Majors) are input. The historical relationships between majors
and FTES generated are used to predict FTES requirements.
Using the data (above) as an example, the FTES required in CASA to teach 5,331 CASA
majors would be 3,039.13. Similarly, the FTES required in CASA to teach 5,032 Business
majors would be 172.00. In this way, the FTES required in each college to serve the
planned student population (Headcount Majors) in future years can be determined; planned
Headcount Majors for each college are the input, and the FTES required for each college
are the output.
