PowerPoint Presentation

Enrollment Strategies: Responding to the Mandates and Local Success Strategies CCCCIO Fall 2015 ConferenceSCHEDULING FOR STUDENT SUCCESSCCCCIO FALL CONFERENCE 2015

Craig Justice, Ph.D. (Economics)Vice President for InstructionIrvine Valley CollegePast President, CCCCIOcjustice@ivc.edu10/25/2015Craig Justice, Irvine Valley College210/25/2015Craig Justice, Irvine Valley College3Tools Demonstrated Today: Room Utilization Report (EXHIBIT 1)Scheduling Course Summary Report (EXHIBIT 2)Targeting by Department (EXHIBIT 3)FTES Reconciliation Report (EXHIBIT 4)

The Punch Line: We need an easily monitored dashboard that shows if goals and targets are being met and an easy tool to add/delete sections of courses to hit targets.

10/25/2015Craig Justice, Irvine Valley College4The Goal: Build a multi-term student-centered schedule that:Offers sections throughout the day, across the week, evenings, and online Is based on students preferences and data about their needs (work schedules, educational plans, etc.)Utilizes classroom space optimally Is efficient in terms of WSCH/FTEF or FTES/WFCHIs automated with opportunities to adjust

SCHEDULING: THE REALITYThe Reality: Course scheduling is often a manual, iterative process not fully-informed by data and prone to expedient, but not optimal, solutionsRoom utilization challenges (e.g. the Thursday night gap)Uncritical use of schedule roll-overs that dont adapt to trends and changes in students needsDomination by faculty preferences over students needs (or, the Nordstrom schedule)

See Exhibit One (Room Utilization-BSTIC 103)10/25/2015Craig Justice, Irvine Valley College5Utilization Report

EXHIBIT 1: Room

BSTIC 103: A 60-seat, auditorium style classroom with excellent multi-media.Shows use of the room by any single department or all departmentsA quick, easy-to-read visual to find gaps in schedulingNote Thursday evening gap - speculation as why this happens more on Th?

10/25/2015Craig Justice, Irvine Valley College6

DEPARTMENT-LEVEL DATAThe Goal: Hit an FTES Target that is consistent with 30+ enrollment per sectionThe Growth Rule: In departments with high fill-rates (say, 80% and up), add one section of highest-demand courseThe Data: Dean reviews data about fill-rates, room utilization, and FTES targets with their Department Chairs.

See Exhibit 2 (Scheduling Course Summary Report)10/28/2015Craig Justice, Irvine Valley College77EXHIBIT 2: Scheduling Course SummaryNote total section count for Anthro: SP2016=14, FA2015=15, SP2015=17.Analysis indicates that seat capacity in Anthro 2 has fallen from 313 in FA2015 to 231 in SP2016, a reduction of 82 seats.Anthro 2 had a fill-rate in FA2015 of 89.1% with 6 sections offered. Add here.10/25/2015Craig Justice, Irvine Valley College8

DEPARTMENT-LEVEL: ANTHROThe Reality: Courses get scheduled by the chair, reviewed by Dean. Does the Dean provide effective leadership to address challenges in the department (e.g. thin adjunct pool) while pushing to make the targets? The Deans Analysis: Dean must effectively assert management rights: Not scheduling a section that would get 25-30 students denies access and suffers opportunity cost of 2.5-3.0 FTES revenue.

See Exhibit 3 (TARGETS BY DEPARTMENT)10/25/2015Craig Justice, Irvine Valley College9EXHIBIT 3: Scheduling Course SummaryNote total section count for Anthro: SP2016=14 ( was FA2015=15, SP2015=17).Analysis indicates that seat capacity in Anthro 2 has fallen from 313 in FA2015 to 231 in SP2016, a reduction of 82 seats.Anthro 2 had a fill-rate in FA2015 of 89.1% with 6 sections offered. Action: add 1 section.10/25/2015Craig Justice, Irvine Valley College10

TERMTOT SECADDSECCTR WFCHOL OSHPT OSHLL OSHTS OSHTOT OSHTOT WFCHCEN FTESWSCH FTEFENRL SEC CRS FILL RATEFTESWFCHWSCH*FTEF*FTESSECFTESSECDepartment: Anthropology - ADD 1 SECTION OF ANTHRO 2TO INCREASE ACCESS BY 45-60 SEATSSp 1614130390012420000.00.0000.000.00Sp 151730912502656665283988.81.186193.883.88Sp 141930918403161785764191.11.286714.114.11By adding only sections of courses that have 80%+ fill-rates, student demand (based on prior terms) is enhanced. UNKNOWN FACTORS: has student demand changed?, does adding one more section of a popular course diminish enrollment in other courses? In scheduling practices at this time, there's only one way to find out: experimentation.This "VPI REVIEW" is discussed with the deans, who have in their goals (related to their evaluation) "reaching FTES targets for their departments." Each has had staff development training using "Crucial Conversations" by Patterson, et al. When all else fails, management rights can be asserted; however, it's best when faculty understand the objectives and goals and become advocates of scheduling for growth and creating a student-centered schedule.DEPARTMENT-LEVEL: ANTHROHave a Crucial Conversation: The Deans conversation with the department chair is crucial because the outcome matters so much to bothUse the Growth Business Rule: A net addition to sections of a course need not be fully enrolled the first semester its offered. (Use fill-rates of 80%, not 95%) to trigger the addition)Use block scheduling: Block scheduling minimizes students scheduling conflicts

10/25/2015Craig Justice, Irvine Valley College11SCHEDULING OUTCOMESOutcome 1: A two-year (four-semester) schedule created in the scheduling Information Management System (IMS)Outcome 2: Data-infused business rules built-in to schedule lead to optimal schedulesOutcome 3: Once a student centered schedule is generated, proceed to the staffing step

10/25/2015Craig Justice, Irvine Valley College12COLLEGE FTES TARGETSCollege Targets: If departments and divisions reach their targets, the college will too (usually)Resident FTES: Monitor for apportionmentGrowth Targets, Summer ShiftsCollege-size Thresholds (SB 361)Non-resident (NR) FTES: Target for NR tuitionIf NR students are a target population, the college should schedule to serve their needs

See EXHIBIT 4 (FTES RECONCILIATION REPORT)10/25/2015Craig Justice, Irvine Valley College13EXHIBIT 4: FTES RECONCILIATION REPORTTo meet our college growth target, resident FTES must reach 9,985FTES.Our medium-sized college target is now about 9,840 FTES.IVC is attempting to grow its primary term FTES by focusing on high fill-rate courses.Summer 2016 will need to grow by nearly 400 FTES over last year to hit our desired FTES Target.10/25/2015Craig Justice, Irvine Valley College14

Whats Next?For all of us CIOs: Continue to develop tools that illustrate effective scheduling best practices and share them with CCCCIO. For software developers: Create automated tools based on scheduling best practices that can be incorporated into any IMS (People Soft, Banner, DataTel, Workday, et al.)Thank you.10/25/2015Craig Justice, Irvine Valley College15Enrollment Management in a Multi-College DistrictSheri BergerVice President, Academic Affairs, Pierce College10/25/2015Craig Justice, Irvine Valley College16District and College GoalsDistrictCollege Maximize FTES Maximize Revenue Additional Considerations District Enrollment Trends District Growth Potential Maximize FTES Maximize Revenue Additional Considerations Strategic Master Plan Enrollment Management Plan Specialized Programs College Enrollment Trends Facilities Utilization College Growth Potential Initiatives

Whats the target?How did we get here?State InfluencesStarts with the proposed Governors January budget.P2 ReportingReality sets inMay Revise and Final BudgetPresidential LevelNegotiationsNegotiationsNegotiationsSurprises!

Growth Scenarios

How are we doing?HeadcountsEnrollmentsFill RatesQuarterly Projections

Fall Demonstration by Accounting Method

Plan for Enrollment ManagementProduced by the Enrollment Management CommitteeA standing committee of the College CouncilConsists of faculty, staff, and administrators across campusAligned with the Colleges Strategic Master PlanMonitored by the Enrollment Management CommitteeA progress dashboard, created by the Office of Institutional Effectiveness, presented twice a year to the committee

Enrollment Management at a Single College Managing Enrollment and EfficiencyThrough A Decrease In Student Headcount

Deborah WulffVice President, Academic Affairs Cuesta College10/25/2015Craig Justice, Irvine Valley College26In depth analysis of county/district demographicsIn depth analysis of student enrollments and programsAnnual Program Review Data Sets -AnalysisPROGRAM REVIEW DASHBOARD Enrollment Division/Discipline/CourseStudent Demand (Fill Rate) Division/Discipline/CourseEfficiency (FTES/FTEF) Division/Discipline/CourseStudent Success Course Completion Division/Discipline/CourseSuccess by Modality Division/Discipline/CourseDegrees and Certificates Awarded Division/Discipline/CourseDemographics Division/Discipline/CoursePROGRAM REVIEW DASHBOARD LINKS (DISAGGREGATED)Student Demand (Fill Rate) DisaggregatedEfficiency (FTES/FTEF) DisaggregatedStudent Success Course Completion Disaggregated http://www.cuesta.edu/aboutcc/planning/research/Program_Review_Data.html

We are like many California Community Colleges: Traditional Enrollment is Decreasing

Finding & developing tools to help manage enrollment and maintain efficiencyEnrollment Management Committee

Reestablished a Workload CommitteeDeveloped common terminologyReviewed and developed data setsMade recommendations

Quadrants

Course Efficiencies

Program Efficiencies

QuadrantsX-axis Fill Rate (80%)Y-axis FTES/FTEF (15)

SemesterTermDivisionDepartment Unmet DemandRegionFTESTotal for Sections:FTES/FTEFFTESFill RateMedian Section LimitCount of Sections

Program Efficiencies Quadrant

Workload Committee Recommendation

Programs located in the lower left quadrant reveal challenges in scheduling, loading and efficiency. Departments were tasked with analyzing Fall 2014 and Spring 2015 schedules, loads, room assignment, program efficiency and define a plan for increasing program efficiency.

Developed reporting tools.

Dashboard for Managing Enrollment DataBryan ReeceVice President, InstructionCrafton Hills College10/25/2015Craig Justice, Irvine Valley College42

Prepared and Presented byBryan Reece, Ph.D.VPI, Crafton Hills College43Implementing Enrollment StrategiesStrategiesDataEncourage low unit students to take one more classExpand high demand sectionsRecruit from feeder schools with lower attendance at you collegeMarket workforce development related coursed to local businessesExpand concurrent enrollmentOffer more online sectionsOffer course acceleration sequencesExpand tutoring center usageStudent load informationStudent contact informationWait list analysisClassroom availabilitySalary informationCourse descriptionsEnrollment data by feeder schoolOpen seatsAcademic support services usage

44Phase 1Physical Files1,000s of filesFiles located all over campusDifficult to accessDifficult to aggregatePhase 2Home Grown Programs1,000s of programsDigital files in small programsDifficult to pull dataDifficult aggregate dataPhase 3Enterprise Systems3-5 systems with dozens of bolt-onsTechnical skills to access dataCanned reports are often difficult to readCustoms reports need to be processed by R&PSystems do not speak to each other Phase 4Dashboards and DataMartsTechnical skill to code dashboardAll data can be integratedAll data configured to your needsDashboards available 24/7Finding the Information/DataDashboard ExamplesCurrent RFTES, Enrollment, and Unduplicated HeadcountActive Section EnrollmentsHigh School Enrollment by Fall TermNumber of Students on Wait List by Section and CourseRoom Number SearchOpen Sections by Late Start Sections and DisciplineOnline Open Sections by Late Start Sections and DisciplineEmails and Phone for Actively Enrolled StudentsEmails and Phones for Students Enrolled in Cancelled SectionsEmails of Students Actively Enrolled by Term in Current RFTES46CCCCO Data MartNot available

IBM CognosIntegrates with SPSS, powerful, robust$26,592 + $6,000 annually

Entrinsik InformerAlready owned report tool & integrated with Colleague$27,000 less 50% discount$13,500 = WINNER!Cal PASS Data MartNot availableVery expensive

JaspersoftGood platform$45,000

TableauPowerful, robust, awesome$27,000 + $150/end user + $300/developer

Dashboard Options47Group DiscussionShare something that helps you with enrollment planning, student focused schedule building, or managing productivity.Scheduling Course SummaryININSTR000510/25/20156:49 AMPage 1 of 1SchoolDepartment - Course ID - Section IDSecCountExcludedSectionsNetSectionsCensEnrollMaxEnrollAvailSeatsFillRateCensusFTESPotentialFTESCensus FTES / Potential FTESFaculty Contract HoursTOTOSHTOTWFCHWaitlistCountSocial and Behavioral Sciences203121918,5418,5410.0%3.88210.00397.00607.00Administration of Justice140145575570.0%0.0015.0027.0042.00AJ 10210145450.0%0.000.003.003.0060035-McCaughey, Colin10145450.0%0.000.003.003.00AJ 10510140400.0%0.003.000.003.0060015-McCaughey, ColinTh 09:30AM-10:45 (B 259)10140400.0%0.003.000.003.00AJ 10710140400.0%0.000.003.003.0061240-Mauney, MontyTTh 05:30PM-06:45 (B 259)10140400.0%0.000.003.003.00AJ 15010130300.0%0.000.003.003.0060055-McMillan, RexMW 05:30PM-06:45 (B 259)10130300.0%0.000.003.003.00AJ 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1221218918910.0%0.0012.0054.0066.0066895-Kehlenbach, StefanF 03:00PM-05:50 (BSTIC 219)10145450.0%0.000.003.003.0066900-Kil, Joon10145450.0%0.000.003.003.0066905-Jasieniecki, CarolT 07:00PM-09:50 (BSTIC 118)10145450.0%0.000.003.003.0066930-Cemo, JamesTTh 02:00PM-03:15 (BSTIC 219)10145450.0%0.000.003.003.0066935-Lopez, EdM 02:00PM-04:50 (BSTIC 219)10145450.0%0.000.003.003.0066945-Kehlenbach, StefanTh 07:00PM-09:50 (BSTIC 219)10145450.0%0.000.003.003.0066955-Schwarz, CarlMW 09:30AM-10:45 (BSTIC 219)10145450.0%0.000.003.003.0066960-Jasieniecki, CarolW 02:00PM-04:50 (BSTIC 219)10145450.0%0.000.003.003.0066965-Kil, Joon10145450.0%0.003.000.003.0066975-Rivera, KellyTTh 08:00AM-09:15 (BSTIC 219)10145450.0%0.000.003.003.0066990-Prather, MichaelMW 07:00PM-09:50 (BSTIC 219)10145450.0%0.000.003.003.0067000-Cemo, JamesMW 05:00PM-06:15 (BSTIC 219)10145450.0%0.000.003.003.0067005-Lopez, EdTTh 09:30AM-10:45 (BSTIC 219)10145450.0%0.000.003.003.0067010-Rivera, KellyTTh 11:00AM-12:15 (BSTIC 116)10145450.0%0.000.003.003.0067015-Kil, Joon10145450.0%0.003.000.003.0067020-Chang, DianeMW 02:00PM-04:50 (B 248)10145450.0%0.000.003.003.0067025-Kil, Joon10145450.0%0.003.000.003.0067040-Frame, StewartTTh 07:00AM-08:50 (EL TORO HS)110000.000.003.003.0069730-Jasieniecki, CarolTTh 07:00AM-08:50 (A 307B)101000.000.003.003.0069805-Frame, StewartMW 08:00AM-09:15 (BSTIC 219)10145450.0%0.000.003.003.0070015-Cemo, JamesTTh 10:00AM-11:15 (ATEP B101B)10136360.0%0.000.003.003.0070070-Kil, Joon10145450.0%0.003.000.003.00PS 1 H11020200.0%0.003.000.003.0067385-Kil, JoonF 09:00AM-11:50 (BSTIC 219)11020200.0%0.003.000.003.00PS 1210145450.0%0.003.000.003.0069815-Kil, JoonMW 12:30PM-01:45 (BSTIC 219)10145450.0%0.003.000.003.00PS 1410145450.0%0.000.003.003.0066920-Sahani, ShirinTTh 12:30PM-01:50 (BSTIC 219)10145450.0%0.000.003.003.00PS 1710145450.0%0.000.003.003.0067045-Prather, MichaelMW 07:00PM-09:50 (BSTIC 219)10145450.0%0.000.003.003.00PS 2120230300.0%0.000.0010.0010.0066940-Crammer, CaleTTh 04:00PM-06:35 (BSTIC 219)10115150.0%0.000.005.005.0066970-Sahani, ShirinTTh 04:00PM-06:35 (BSTIC 219)10115150.0%0.000.005.005.00PS 410145450.0%0.000.003.003.0066950-Chang, DianeTTh 11:00AM-12:15 (BSTIC 219)10145450.0%0.000.003.003.00PS 510145450.0%0.000.003.003.0066995A-Crammer, CaleT 07:00PM-09:50 (BSTIC 219)10145450.0%0.000.003.003.00Psychology434391,8881,8880.0%0.0054.0077.50131.50PSYC 1170178608600.0%0.0027.0024.0051.0067685-Tucker, Kari10145450.0%0.000.003.003.0067690-Tucker, KariTTh 08:00AM-09:15 (A 307A)10145450.0%0.003.000.003.0067700-Murray, AndreaM 03:45PM-06:35 (BSTIC 101)10173730.0%0.000.003.003.0067710-Lee, DavidW 07:00PM-09:50 (A 210)10140400.0%0.000.003.003.0067715-Susskind, JoshMW 08:00AM-09:15 (A 307A)10145450.0%0.000.003.003.0067725-Bellas, PatriciaTh 07:00PM-09:50 (A 307A)10145450.0%0.000.003.003.0067735-Taylor, YemmyMW 12:30PM-01:45 (BSTIC 120)10145450.0%0.003.000.003.0067740-Cassens, MichaelTTh 12:30PM-01:45 (BSTIC 103)10160600.0%0.003.000.003.0067775-Taylor, YemmyTTh 11:00AM-12:15 (BSTIC 101)10173730.0%0.003.000.003.0067780-McIntosh, SarahTTh 05:30PM-06:45 (A 307A)10145450.0%0.000.003.003.0067800-Cassens, MichaelMW 02:00PM-03:15 (A 210)10140400.0%0.003.000.003.0067815-Lee, DavidTTh 02:00PM-03:15 (A 307A)10145450.0%0.000.003.003.0067830-Cassens, MichaelMW 09:30AM-10:45 (BSTIC 101)10173730.0%0.003.000.003.0067850-Mis, BenjaminMW 11:00AM-12:15 (BSTIC 103)10160600.0%0.003.000.003.0067855-Tucker, KariTTh 09:30AM-10:45 (A 307A)10145450.0%0.003.000.003.0067875-Tucker, Kari10145450.0%0.003.000.003.0070000-Mounsey, KimberlyTTh 04:00PM-05:15 (ATEP B101B)10136360.0%0.000.003.003.00PSYC 1 H11020200.0%0.003.000.003.0069945-Cassens, MichaelTTh 02:00PM-03:15 (A 210)11020200.0%0.003.000.003.00PSYC 105141801800.0%0.006.009.0015.0067695-Rudmann, JerryT 07:00PM-09:50 (A 307A)10145450.0%0.000.003.003.0067750-Mis, BenjaminMW 12:30PM-01:45 (A 307A)10145450.0%0.003.000.003.0067865-Tucker, KariTTh 11:00AM-12:15 (A 307A)10145450.0%0.003.000.003.0069790-Marino, ValerieMW 02:00PM-03:15 (A 307A)10145450.0%0.000.003.003.0069835-Lee, DavidTTh 07:45AM-09:35 (BECKMAN)110000.000.003.003.00PSYC 10 H11020200.0%0.003.000.003.0067835-Tucker, KariF 09:00AM-11:50 (A 307A)11020200.0%0.003.000.003.00PSYC 10610145450.0%0.000.003.003.0067810-Taylor, Yemmy10145450.0%0.000.003.003.00PSYC 1110145450.0%3.000.003.0068755-Mis, BenjaminTTh 03:30PM-04:45 (A 307A)10145450.0%3.000.003.00PSYC 1510125250.0%0.000.004.004.0068760-Cassens, Michael10125250.0%0.000.004.004.00PSYC 16010145450.0%0.000.001.501.5067825-Rudmann, Bari10145450.0%0.000.001.501.50PSYC 23031051050.0%0.000.0012.0012.0067760-Bellas, PatriciaF 08:00AM-12:15 (B 116)10135350.0%0.000.004.004.0067790-Cassens, MichaelTTh 09:00AM-10:50 (B 116)10135350.0%0.000.004.004.0067795-Czerniawski, JenniferMW 05:00PM-06:50 (B 116)10135350.0%0.000.004.004.00PSYC 2010145450.0%0.000.003.003.0067840-Staff,W 04:00PM-06:50 (A 307A)10145450.0%0.000.003.003.00PSYC 33031351350.0%0.003.006.009.0067755-Mis, Benjamin10145450.0%0.000.003.003.0067785-Boucquey, VeroniqueW 07:00PM-09:50 (B 259)10145450.0%0.000.003.003.0067860-Mis, BenjaminTTh 12:30PM-01:45 (A 307A)10145450.0%0.003.000.003.00PSYC 3210173730.0%0.003.000.003.0067845-Taylor, YemmyTTh 09:30AM-10:45 (BSTIC 101)10173730.0%0.003.000.003.00PSYC 3310145450.0%0.000.003.003.0067705-Murray, AndreaMW 02:00PM-03:15 (BSTIC 118)10145450.0%0.000.003.003.00PSYC 3720290900.0%0.000.006.006.0067745-Susskind, JoshM 07:00PM-09:50 (A 307A)10145450.0%0.000.003.003.0067770-Tucker, Kari10145450.0%0.000.003.003.00PSYC 37 H11020200.0%0.003.000.003.0068765-Taylor, YemmyMW 09:30AM-10:45 (A 307A)11020200.0%0.003.000.003.00PSYC 53031351350.0%0.003.006.009.0067730-Bellas, PatriciaW 07:00PM-09:50 (A 307A)10145450.0%0.000.003.003.0067765-Taylor, YemmyMW 11:00AM-12:15 (A 307A)10145450.0%0.003.000.003.0067805-Taylor, Yemmy10145450.0%0.000.003.003.00Sociology212198988980.0%0.0030.0033.0063.00SOC 1111104504500.0%0.0015.0018.0033.0063110-Chambers, Elizabeth10145450.0%0.003.000.003.0063120-Truitt, TremaineMW 04:00PM-06:50 (BSTIC 118)10145450.0%0.000.003.003.0063130-French, JimTTh 11:00AM-12:15 (BSTIC 118)10145450.0%0.000.003.003.0063140-Burkhalter, LizTTh 08:00AM-09:15 (BSTIC 118)10145450.0%0.000.003.003.0063145-Fanego, ChrisTTh 07:45AM-09:35 (BECKMAN)110000.000.003.003.0063165-Chambers, ElizabethF 09:30AM-12:20 (BSTIC 118)10145450.0%0.003.000.003.0063180-Hollenbaugh, RobertM 07:00PM-09:50 (BSTIC 118)10145450.0%0.003.000.003.0063195-Hollenbaugh, RobertTTh 12:30PM-01:45 (BSTIC 118)10145450.0%0.003.000.003.0063200-Chambers, ElizabethMW 09:30AM-10:45 (BSTIC 118)10145450.0%0.003.000.003.0063215-Fanego, ChrisMW 08:00AM-09:15 (BSTIC 118)10145450.0%0.000.003.003.0063225-Martinez, HectorMW 12:30PM-01:45 (BSTIC 118)10145450.0%0.000.003.003.00SOC 1 H11020200.0%0.003.000.003.0063220-Chambers, ElizabethMW 11:00AM-12:15 (BSTIC 118)11020200.0%0.003.000.003.00SOC 1010145450.0%0.003.000.003.0063125-Chambers, Elizabeth10145450.0%0.003.000.003.00SOC 23031351350.0%0.000.009.009.0063150-Burkhalter, LizTTh 09:30AM-10:45 (BSTIC 118)10145450.0%0.000.003.003.0063190-Chambers, Elizabeth10145450.0%0.000.003.003.0063210-Truitt, TremaineMW 04:00PM-06:50 (BSTIC 118)10145450.0%0.000.003.003.00SOC 2010145450.0%0.003.000.003.0063170-Hollenbaugh, Robert10145450.0%0.003.000.003.00SOC 304042032030.0%0.006.006.0012.0063135A-Hollenbaugh, RobertW 07:00PM-09:50 (BSTIC 101)10173730.0%0.003.000.003.0063155A-Tucker, Kari10145450.0%0.000.003.003.0063185A-Cassens, MichaelMW 12:30PM-01:45 (A 210)10140400.0%0.003.000.003.0063205A-Hunt, MatthewTTh 03:30PM-04:45 (BSTIC 118)10145450.0%0.000.003.003.00Totals203121918,5418,5410.0%3.88210.00397.00607.00SPRING 20151765778384%FALL 20151563172487%ACTION EXPECTED: Add one section of Anthro 2 in an available prime time module.Note: Anthro 2 had an 89% fill-rate inf FA2015.Capacity will rise to 734 and fill-rate should reach 80%.Sections cut from 6 to 4 (-82 seats).1ST DAY OF FALL 2015:SPRING 15Anthropology14113631724930.871546961363.172.40.8715469613301242Anthropology1711665778312683.91%66.4079.130.8430.0026.0056.00ANTH 1606296351550.843304843329.635.10.84330484331261845ANTH 17073413531296.6%34.5435.760.9718.007.0025.0069165-Gabriella, WendyF 09:30AM-12:20 (B 311)1014875270.644.87.50.6430364935-Gabriella, WendyMW 12:30PM-01:45 (B 304)1017475198.67%7.407.500.993.002.005.0069170-Abbruzzese, MarkM 07:00PM-09:50 (BSTIC 120)101434520.95555555564.34.50.9555555556033464945-Gabriella, WendyTTh 02:00PM-03:15 (BSTIC 101)1017273198.63%7.207.300.993.002.005.0069175-Gabriella, WendyMW 02:00PM-03:15 (BSTIC 101)1017473-11.01369863017.47.31.0136986301303564950-Abbruzzese, MarkTh 07:00PM-09:50 (A 210)1013540587.5%3.504.000.880.003.003.0069180-Loeffler, Chris1014845-31.06666666674.84.51.06666666670332464955-Gabriella, WendyF 09:30AM-12:35 (A 210)1014440(4)110.0%4.844.401.103.000.003.0069185-Gabriella, WendyTTh 11:00AM-12:15 (BSTIC 101)101717320.97260273977.17.30.97260273973031464960-Loeffler, Chris1014145491.11%4.104.500.913.000.003.0090245-Loeffler, ChrisMW 08:00AM-09:15 (A 210)1011240280.31.240.330364970-Loeffler, ChrisMW 08:00AM-09:15 (A 210)1013840295.0%3.804.000.953.000.003.00ANTH 1 H1102020012213031265015-Loeffler, ChrisTTh 09:30AM-10:45 (A 210)1013740392.5%3.704.000.933.000.003.0064135-Loeffler, ChrisTTh 08:00AM-09:15 (A 210)11020200122130312ANTH 26062252906577.59%22.7629.340.786.0013.0019.00ANTH 13101354050.8753.540.87530364965-Payton, JimmieW 07:00PM-09:50 (A 305)10128401270.0%2.804.000.700.003.003.0064100-Loeffler, ChrisMW 11:00AM-12:15 (A 210)101354050.8753.540.87530364975-Gabriella, WendyMW 11:00AM-12:15 (BSTIC 118)1014145491.11%4.104.500.913.000.003.00ANTH 2606280313330.89456869012831.30.894568690112618564980-Payton, JimmieM 07:00PM-10:05 (A 210)10126401465.0%2.864.400.650.003.003.0064990-Gabriella, WendyTTh 12:30PM-01:45 (B 311)10146752961.33%4.607.500.613.001.004.0064995-Gabriella, Wendy1014445197.78%4.404.500.980.003.003.00Social and Behavioral Sciences181141676870800311330.8584280895682.93795.5587758370.8584280895225340.5565.565000-Gabriella, Wendy1014045588.89%4.004.500.890.003.003.00Administration of Justice13013458531730.862523540547.1354.64198689960.8625235405152540ANTH 2 H1102520(5)125.0%2.502.001.253.000.003.00AJ 102101324080.83.240.803364985-Loeffler, ChrisTTh 08:00AM-09:15 (A 210)1102520(5)125.0%2.502.001.253.000.003.0062615-Mauney, MontyTh 07:00PM-09:50 (B 259)101324080.83.240.8033ANTH 310124401660.0%2.404.000.600.003.003.00AJ 103101354050.8753.540.87530365005-Clifford, RobT 07:00PM-09:50 (A 210)10124401660.0%2.404.000.600.003.003.0063655-McCaughey, ColinMW 09:30AM-10:45 (B 259)101354050.8753.540.875303ANTH 410117402342.5%1.704.000.433.000.003.00AJ 105101324080.83.240.803365010-Loeffler, ChrisMW 09:30AM-10:45 (A 210)10117402342.5%1.704.000.433.000.003.0063575-McMillan, RexM 07:00PM-09:50 (B 259)101324080.83.240.8033ANTH 910125401562.5%2.504.000.630.003.003.00AJ 1061013045150.666666666734.50.666666666703364940-Loeffler, ChrisTTh 11:00AM-12:15 (A 210)10125401562.5%2.504.000.630.003.003.0063565-McCaughey, Colin1013045150.666666666734.50.6666666667033AJ 1191012645190.57777777782.64.50.577777777803363110-McCaughey, Colin1012645190.57777777782.64.50.5777777778033AJ 23031161160111.611.613693562830-Jones, ThomasT 07:00PM-09:50 (B 259)1014440-41.14.441.1033862990-McCaughey, ColinMW 11:00AM-12:15 (B 259)1014440-41.14.441.13033090090-Schmidt, TimothyW 07:00PM-09:50 (ATEP B101B)101283680.77777777782.83.60.7777777778033AJ 2501014040015.335.33104462575-Mauney, MontyF 06:00PM-09:50 (B 259)1014040015.335.331044AJ 4202788020.9757.880.975336263045-McCaughey, ColinT 11:00AM-12:15 (B 259)101404001441303163390-McMillan, RexMW 05:30PM-06:45 (B 259)101384020.953.840.950331AJ 51013545100.77777777783.54.50.777777777830362740-McCaughey, Colin1013545100.77777777783.54.50.7777777778303AJ 8101344060.853.440.8530362805-McCaughey, ColinTh 09:30AM-10:45 (B 259)101344060.853.440.85303Anthropology14113668709410.942172073366.870.90.9421720733302151ANTH 160633033660.98214285713333.60.98214285711211233469165-Gabriella, WendyF 09:30AM-12:20 (B 311)101576030.955.760.95314169170-Abbruzzese, MarkM 07:00PM-09:50 (BSTIC 120)1014545014.54.51033169175-Gabriella, WendyMW 02:00PM-03:15 (BSTIC 101)1017573-21.02739726037.57.31.0273972603325469180-Loeffler, Chris1014645-11.02222222224.64.51.02222222220331469185-Gabriella, WendyTTh 11:00AM-12:15 (BSTIC 101)101717320.97260273977.17.30.9726027397325990245-Loeffler, ChrisMW 08:00AM-09:15 (A 210)101364040.93.640.93035ANTH 1 H1102220-21.12.221.1303764135-Loeffler, ChrisTTh 08:00AM-09:15 (A 210)1102220-21.12.221.13037ANTH 13101374030.9253.740.92530364100-Loeffler, ChrisMW 11:00AM-12:15 (A 210)101374030.9253.740.925303ANTH 2606279313340.891373801927.931.30.8913738019121022264070-Payton, JimmieTh 07:00PM-09:50 (A 210)1012440160.62.440.603364075-Loeffler, ChrisTTh 09:30AM-10:45 (A 210)101384020.953.840.95303164080-Gabriella, Wendy101434520.95555555564.34.50.955555555603364110-Gabriella, WendyMW 12:30PM-01:45 (BSTIC 101)101717320.97260273977.17.30.972602739732564130-Loeffler, ChrisMW 09:30AM-10:45 (A 210)101384020.953.840.95303164145-Gabriella, WendyTTh 12:30PM-01:45 (B 304)1016575100.86666666676.57.50.8666666667325

&R&"Arial,Bold"&16EXHIBIT 2ININSTR0005SchoolDepartment - Course ID - Section IDSecCountExcludedSectionsNetSectionsCensEnrollMaxEnrollAvailSeatsFillRateCensusFTESPotentialFTESCensus FTES / Potential FTESFaculty Contract HoursTOTOSHTOTWFCHWaitlistCount