To continue to align state university degree programs with the economic development and workforce needs of the state, the Florida Board of Governors has identified several Areas of Programmatic Strategic Emphasis. These targeted degree areas include:

Click here to see a list of UWF degree programs which have been identified as serving these areas of emphasis.

Student credit hours are calculated by multiplying course enrollment by course credit hours. The numbers included in this table represent the student credit hours generated from courses offered by the department in the Fall and Spring semesters. In CICS, this is determined using the DPT1 and/or DPT2 field listed on the course section (see RCSO).

The weighted student credit hour totals displayed in the table are calculated using the following weighting factors:

Lower Divisionx1.0
Upper Divisionx1.2
Graduatex1.6

For more detail on the numbers displayed in this table, see the Academic Affairs Budget Office website. Student credit hour reports are in the Financial Information section under Student Credit Hours Per Semester.

Please note that the table does not include student credit hours generated from student exchange courses (those with a location code of "IE" or "NE") while the student credit hour reports on the website include these hours. For some departments this will cause a small discrepancy between the two sources. You may click on any row in the student credit hour reports on the website to see a complete breakdown of each course included in the total. The location code for each course is displayed in that breakdown.

Faculty FTE History • Exercise Science and Community Health
Faculty Name 2008 2009 2010 2011 2012
Francis Bridges 0.0 N/A* 1.0 1.0 1.0
Ludmila Cosio Lima 0.0 N/A* 1.0 1.0 1.0
Christopher Dake 0.0 N/A* 0.3 0.3 0.3
Marcia Dove 0.0 N/A* 0.0 0.0 1.0
Daniel Drost 0.0 N/A* 0.0 1.0 1.0
Richard Frazee 0.0 N/A* 1.0 1.0 1.0
Eric Greska 0.0 N/A* 0.0 0.0 1.0
Andrew Holdnak 0.0 N/A* 1.0 1.0 1.0
Robert Isosaari 0.0 N/A* 1.0 1.0 1.0
Youngil Lee 0.0 N/A* 0.0 0.0 1.0
Patricia Malley 0.0 N/A* 0.0 1.0 1.0
Steven Philipp 0.0 N/A* 1.0 1.0 1.0
Matthew Ruckman 0.0 N/A* 0.0 0.0 1.0
Stuart Ryan 0.0 N/A* 1.0 1.0 1.0
Petra Schuler 0.0 N/A* 1.0 1.0 0.0
Chenxiang Song 0.0 N/A* 1.0 1.0 1.0
John Todorovich 0.0 N/A* 1.0 1.0 1.0
Xuan Van Tran 0.0 N/A* 1.0 1.0 1.0
Debra Vinci 0.0 N/A* 1.0 1.0 1.0
Green Waggener 0.0 N/A* 0.0 0.0 1.0
Christopher Wirth 0.0 N/A* 0.0 0.0 1.0
Franco Zengaro 0.0 N/A* 1.0 1.0 0.0
Department Total 0.0 N/A* 13.3 15.3 19.3

Tenured Faculty Tenure Earning Faculty Non-Tenure Earning Faculty
 
* Line detail is not available for Fall 2009

Departmental growth capacity represents a department's ability to support more students by offering more courses or raising course enrollment. The growth capacity rank identifies the departments with the greatest need of more faculty lines to support its current student credit hour load. This ranking is determined by dividing the department's weighted fall/spring student credit hours by the number of regular line-item instructional faculty in the department at the start of that academic year. These numbers are displayed in the Student Credit Hours table and the # of FTE Faculty by Tenure Status table, respectively. Departments with lower rank values have less capacity for growth based on this calculation than those with higher rank values.

The complete growth capacity ranking of all academic departments is available for each year displayed in the table. To see the complete ranking, click on the academic year in the heading of the table.

The instructor types used for the Average Class Size table and the Percent of student credit hours taught by instructor type table do not correspond directly to the instructor type listed on the instructor's record on the course offering in CICS (see RIND and/or RCSO). The instructor type listed in CICS is referred to as the reported instructor type and the instructor type used for the tables is referred to as the effective instructor type. The effective instructor type is calculated as follows:

If the reported instructor type is:

The low enrollment courses table displays the number of courses at the undergraduate and graduate level which have enrollment beneath the standard benchmark value for that level. The standard benchmark value is 20 students for undergraduate courses and 15 students for graduate courses. The following rules apply to both the count and the percentage of low enrollment courses:

  Faculty Line Search Request Template -- 2013 - 2014 Faculty Searches Help

Department Name: Exercise Science and Community Health

  1. Describe how this faculty line will advance UWF's legislative and strategic priorities in the applicable categories:
    • Economic Development/Workforce Demand

    • Science, Technology, Engineering, and Mathematics (STEM)

      REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

      Exercise Science is a science degree that incorporates skills that range
      from biology, anatomy, physiology, and biochemistry to engineering
      (i.e., biomechanics). HLES labs are actively engaged in scientific
      inquiry. HLES labs use sophisticated technology in innovative ways for
      both research and instruction purposes.

    • Accreditation Requirements

    • Niche programs with growth potential

      REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

      The Exercise Science program continues to grow. Currently we are
      nearing 400 students and we expect the trend to continue.

  2. Any additional information to further explain the request such as comments on evidence of quality, general education requirements, significant pressure points, Emerald Coast offerings, online courses, etc:

    REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

    Our Exercise Science program continues to grow, but we are missing
    scholar/instructors in two important content areas including (a) motor
    learning and (b) motor development. Although the program is currently
    endorsed by the American College of Sport Medicine as an indicator of
    quality, the current instruction for motor learning and motor
    development is being taught primarily by adjuncts and instructors that
    only meet minimum requirements for SACS. This is a program deficiency.

  3. If this request is for a tenure-earning position, explain why a tenure-earning position is needed:

    REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

    This request is for a full-time, tenure-earning position for a faculty
    member in exercise science with a specialty area in motor learning.
    Motor learning is a specialized field that is considered a critical
    element to a fully-rounded exercise science program. The motor learning
    field requires faculty who are current in their field because the
    innovation and changes in the field occur quickly as with most science
    related programs. A tenure track faculty member will stay engaged in
    the profession and generate new knowledge through research endeavors to
    enhance the visibility, value, and status of the Exercise Science
    program. In addition to enhancing the growing undergraduate program in
    Exercise Science program, a tenure-track faculty member in motor
    learning will attract graduate students and increase the value of the
    graduate program in exercise science. As a result, the tenure track
    position in motor learning will increase the quality, reputation, and
    value of the Exercise Science program within HLES.

  4. a. General Description of Workload Assignment:

    REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

    As a tenure-track position, the faculty member would be expected to have
    3-3 teaching load for 9-months with a 3-hour research expectation per
    semester. This is congruent with other faculty members in the
    department with teaching expectations and can accommodate the increasing
    enrollment in Exercise Science.

    Specific courses that this individual might teach include the following:

    FALL: PET 5052 - Motor Learning
    PET 4213 - Success in Sports
    PET 4691 - Exercise Testing for Special Populations

    SPRING: PET 5216 - Success in Sports
    HLP 3510 - Measurement and Evaluation in Health, Leisure, and Sports
    PET 4691 - Exercise Testing and Prescription +L
    OR
    PET XXXX - Motor Learning (need to add course for UG motor learning to
    complete quality of UG program)



    b. Explain how the workload/courses are currently being covered by the department:

    REQUEST #1: Exercise Science/Motor Learning Tenure-Track Faculty Member

    Currently, courses are being taught by minimally qualified adjuncts,
    instructors, or occasionally faculty. Increasing student enrollment
    growth calls for multiple sections of these courses to be taught. We
    have reached capacity for current faculty and often have to provide
    overload to meet student demand for these courses.

    5. Please review the enrollment data for the department shown below. Refer to this data to answer the questions that follow.

    Student Credit Hours - Fall/Spring
    08/09 09/10 10/11 11/12 12/13 +/-
    Lower
    4283 4408 4454 4307 4399 ↑  2.71%
    Upper
    7803 8240 9102 9649 10539 ↑ 35.06%
    Graduate
    994 882 919 719 647 ↓ 34.91%


    Fall Headcount (# of majors by specialization)
    Specialization 2008 2009 2010 2011 2012 +/-
    Undergraduate
    08372C: HEALTH ED/COMMU HLTH  1   0   0   0   0  ↓ ∞
    31053A: HLTH,LEI&EX SCI/UNDC  5   2   0   0   0  ↓ ∞
    31053B: HLES/EXERCISE SCI  174   238   295   348   398  ↑ 129%
    31053D: HLES/PHYSICAL ED  66   60   57   43   25  ↓ 62%
    31053I: HLES/ATH TRAINING  20   10   29   34   13  ↓ 35%
    31053J: HLES/PHY ED TEACH ED  0   0   1   6   12  ↑ ∞
    31053K: HLES/PE TEACH PENDIN  0   0   0   0   5  ↑ ∞
    31053N: HLES/ATH TRNG PA  68   89   82   79   34  ↓ 50%
    51013A: ATHLETIC TRAIN EDUC  0   0   0   0   19  ↑ ∞
    51013B: ATHL TRAIN *PEND*  0   0   0   0   58  ↑ ∞
    51033A: HEALTH ED/COMMU HLTH  11   3   1   0   0  ↓ ∞
    51033B: COMMUNITY HEALTH ED  34   51   45   43   52  ↑ 53%
    52093B: HRRM/HOSP RSRT SPA  0   0   1   0   0 
    =
    52093C: HOSP REC RSRT MGMT  190   196   203   198   196  ↑  3%
    †3105: HLES/NON-DEGREE  11   6   6   3   1  ↓ 91%
    †3105 U: HLES/UG/NON-DEGREE  6   11   21   23   24  ↑ 300%
    †5103 U: COM HLT ED/UG/NON-DG  0   0   0   2   0 
    =
    TOTAL 586 666 741 779 837 ↑ 43%
    Graduate
    30995C: MSA/HEALTH CARE ADM  24   33   37   36   38  ↑ 58%
    31055A: HLES/PHYSICAL ED  27   21   14   10   12  ↓ 56%
    31055E: HLES/EXERCISE SCI  25   22   22   20   11  ↓ 56%
    51035D: HEALTH ED/PSYCHO-SOC  4   2   0   0   0  ↓ ∞
    51035F: HLTH ED/HLTH PRO&WLN  1   0   0   0   0  ↓ ∞
    51035H: COM HLT ED/PSYCH-SOC  4   5   8   7   1  ↓ 75%
    51035I: COM HLT ED/AGING STD  3   2   3   1   1  ↓ 67%
    51035J: COM HLT ED/PROM&WLN  6   5   4   9   12  ↑ 100%
    †3105 G: HLES/GRAD/NON-DEGREE  2   1   8   5   4  ↑ 100%
    †5103 G: COM HL ED/GR/NON-DEG  0   1   2   2   2  ↑ ∞
    †520F G: MSA/HEALTHCARE/GR/ND  0   1   2   2   4  ↑ ∞
    TOTAL 96 93 100 92 85 ↓ 11%
    † indicates non-degree major


    Degrees Awarded (by specialization)
    Specialization 08/09 09/10 10/11 11/12 12/13 +/-
    Undergraduate
    08372C: HEALTH ED/COMMU HLTH  1   0   0   0   1 
    =
    31053B: HLES/EXERCISE SCI  42   38   57   70   87  ↑ 107%
    31053D: HLES/PHYSICAL ED  16   16   19   10   6  ↓ 63%
    31053I: HLES/ATH TRAINING  8   11   9   15   11  ↑ 38%
    31053N: HLES/ATH TRNG PA  0   0   1   0   0 
    =
    31053P: HLES/PARKS, REC&LEI  1   2   0   1   0  ↓ ∞
    51013A: ATHLETIC TRAIN EDUC  0   0   0   0   4  ↑ ∞
    51033A: HEALTH ED/COMMU HLTH  16   1   2   2   0  ↓ ∞
    51033B: COMMUNITY HEALTH ED  2   11   25   12   19  ↑ 850%
    52093B: HRRM/HOSP RSRT SPA  1   0   0   3   0  ↓ ∞
    52093C: HOSP REC RSRT MGMT  39   49   48   62   47  ↑ 21%
    TOTAL 126 128 161 175 175 ↑ 39%
    Graduate
    30995C: MSA/HEALTH CARE ADM  10   12   9   13   16  ↑ 60%
    31055A: HLES/PHYSICAL ED  14   10   12   5   3  ↓ 79%
    31055E: HLES/EXERCISE SCI  12   10   8   13   1  ↓ 92%
    51035B: HEALTH ED/MANAGEMENT  0   1   0   0   0 
    =
    51035D: HEALTH ED/PSYCHO-SOC  2   0   2   0   0  ↓ ∞
    51035H: COM HLT ED/PSYCH-SOC  5   0   3   4   1  ↓ 80%
    51035I: COM HLT ED/AGING STD  0   2   1   1   0 
    =
    51035J: COM HLT ED/PROM&WLN  2   3   3   2   5  ↑ 150%
    TOTAL 45 38 38 38 26 ↓ 42%


  5. Please explain why any undergraduate degree specializations* with fewer then 15 majors have not been deleted:

    Not applicable to this request

  6. Please explain why any graduate degree specializations* with fewer then 10 majors have not been deleted:

    Not applicable to this request

    * Does not include non-degree specializations (indicated with a † above)

  7. Additional information that will be used to evaluate capacity:

    # of FTE Faculty by Tenure Status
      Fall 2008 Fall 2009 Fall 2010 Fall 2011 Fall 2012
    Tenure & Tenure Earning 10.0 9.0 10.0 10.0 11.0
    Non-Tenure Earning 3.0 3.3 3.3 5.3 8.3

    Avg. student credit hours taught by
    full-time tenure earning and tenured faculty
    2010/2011 2011/2012 2012/2013
    224.95 198.51 N/A‡

    ‡ Data not yet available for this term


    # (%) of low enrollment courses
    (undergrad: <20, grad: <15)
      10/11 11/12 12/13
    Undergraduate 27 ( 15.3%) 29 ( 16.6%) 41 ( 22.5%)
    Graduate 14 ( 60.9%) 16 ( 80.0%) 10 ( 66.7%)


    Average Class Size
      Fall 2010 Fall 2011 Fall 2012
    Reg Adj TA ESC All Reg Adj TA ESC All Reg Adj TA ESC All
    Lower 26.6 24.7 28.0 0.0 26.2 30.6 28.1 27.4 0.0 28.8 36.3 28.6 30.3 0.0 31.2
    Upper 36.2 34.2 26.5 0.0 34.6 30.1 29.6 0.0 45.0 30.2 30.4 27.7 29.0 0.0 29.7
    Graduate 11.3 8.5 15.0 0.0 11.1 8.7 12.0 0.0 0.0 9.0 10.1 0.0 0.0 0.0 10.1


    Percent of student credit hours taught by instructor type
      10/11 11/12 12/13
    Reg Adj TA ESC Reg Adj TA ESC Reg Adj TA ESC
    Lower 20.2% 49.5% 30.3% 0.0% 16.6% 52.7% 30.7% 0.0% 25.9% 53.9% 20.2% 0.0%
    Upper 52.5% 37.6% 10.0% 0.0% 54.3% 41.8% 1.1% 2.8% 75.5% 22.1% 0.9% 1.4%
    Graduate 81.6% 15.3% 3.2% 0.0% 82.0% 10.4% 0.0% 7.7% 100.0% 0.0% 0.0% 0.0%
    Total 43.6% 40.3% 16.2% 0.0% 43.5% 44.0% 10.4% 2.1% 60.9% 31.3% 6.9% 0.9%