Advanced Filtering Field Definitions

Monitor

Campus = Campus Code (Example: M)

CampusName = Full Campus Name (Example = Main)

College = College Code

CourseNumber = Course Number (Example = 1101)

Department = Department Code

Division = Division Code

EnrollmentRatio = Average enrollment divided by average course enrollment cap

Status = Enrollment Ratio is High, Low, or On Track

  • High: Courses are "high" if the Enrollment Ratio is greater than 85%
  • Low: Courses are "low" if the Enrollment Ratio is less than 25%
  • On Track: courses are "on track" if the Enrollment Ratio is 25-85%

Subject = Subject Code (Example: ACCT)

Term = Term Code (Example: 202008)

Title = Course Title (Example: Introduction to Chemistry)

 

Align

AverageSeats = Average section size

Campus = Campus Code (Example: M)

CampusName = Full Campus Name (Example = Main)

CandidateDetail = Additional information explaining the Candidate Type (Examples: Standard Addition, Low Demand, New Course)

CandidateSections = Difference between Needed sections and Offered sections

CandidateType = Type of candidate created by Astra’s recommendations (Examples: Addition, Reduction, No Action)

College = College Code

CourseNumber = Course Number (Example = 1101)

Department = Department Code

Division = Division Code

HistoricSeatsNeeded = Number of seats needed based upon historical analysis

PlannedSections = Number of sections that will be offered after the schedule changes have been completed in the SIS

PredictedSeatsNeeded = Number of seats needed based upon predict analysis

SeatsNeeded = Number of seats recommended based upon the analysis

SeatsOffered = Number of seats offered for all sections in the analyzed term

SectionsOffered = Number of sections imported from SIS for the analyzed term

SectionsNeeded = Number of sections recommended based upon the analysis

SectionsVariance = Difference between Needed sections and Offered sections

Status = Selected status from the status column (Examples: Reviewed, Approved, Scheduled, Blocked)

Subject = Subject Code (Example: ACCT)

Term = Term Code (Example: 202008)

Title = Course Title (Example: Introduction to Chemistry)

TopCandidate = Recommendations that potentially have the highest impact


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