The Butte College Automotive Program provides its students with a quality, NATEF (National Automotive Technician Education Foundation) certified automotive training program. The program gives the student the basic skills needed to start a career in the automotive industry and encourages the life- long learning needed to succeed in the workforce.
The Butte College Automotive Technology Program has two NATEF Certified programs. One is the American Honda PACT program. The PACT program is a partnership with American Honda and Butte College in which the student�s area of study is centered on Honda and Acura vehicles. The CORE program is also NATEF certified but rather than concentrating the studies on a specific manufacturer, the CORE program covers all makes and models. In Fall 2017 we introduced our partnership with Subaru and now offer the FORD ACE program as another factory alternative for our students. Spring 2019 we rolled out our newest edition, Diesel Technology. This program will cover light and medium duty over the road diesel powered vehicles. Successful completion of our program offers the automotive industry a technician who can perform their job description at or above entry level technician.
Ford Ace Coordnator
Develope and grow the Ford ACE program for students
Heldlamp Aiming Tool
PICO Diagnostic Kit
Hot Flush Transmission Cooler Flusher
Hand Tools
Provide students wiht up-to-date tooling found in industry
Auto Lifts
Replaced lifts that failed safety testing
Subaru U cooridnator
Grow and build Subaru U partnership
Department SLO's found that due to COVID 19 and the challenges that came with it caused a deficit in learning from students while in remote instruction. Then when we toggled to F2F the absences related to quarantine ruled caused a GREAT loss of instructional time for students.
Program: Automotive Technology (AUT) | ||||||||||||||||||||||||||
Part A - Demographics | ||||||||||||||||||||||||||
Student Characteristics - Unduplicated Student Headcount - Program | ||||||||||||||||||||||||||
Term | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2015FA | 191 | 168 | 87.96% | 22 | 11.52% | 1 | 0.52% | 7 | 3.66% | 128 | 67.02% | 54 | 28.27% | 2 | 1.05% | 0 | 0.0% | |||||||||
2016FA | 185 | 171 | 92.43% | 11 | 5.95% | 3 | 1.62% | 6 | 3.24% | 130 | 70.27% | 46 | 24.86% | 3 | 1.62% | 0 | 0.0% | |||||||||
2017FA | 153 | 143 | 93.46% | 9 | 5.88% | 1 | 0.65% | 7 | 4.58% | 104 | 67.97% | 40 | 26.14% | 2 | 1.31% | 0 | 0.0% | |||||||||
2018FA | 133 | 123 | 92.48% | 10 | 7.52% | 0 | 0.0% | 10 | 7.52% | 89 | 66.92% | 34 | 25.56% | 0 | 0.0% | 0 | 0.0% | |||||||||
2019FA | 152 | 138 | 90.79% | 14 | 9.21% | 0 | 0.0% | 11 | 7.24% | 114 | 75.0% | 24 | 15.79% | 3 | 1.97% | 0 | 0.0% | |||||||||
Term | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2015FA | 191 | 106 | 55.5% | 58 | 30.37% | 10 | 5.24% | 8 | 4.19% | 4 | 2.09% | 1 | 0.52% | 4 | 2.09% | |||||||||||
2016FA | 185 | 93 | 50.27% | 69 | 37.3% | 8 | 4.32% | 4 | 2.16% | 7 | 3.78% | 0 | 0.0% | 4 | 2.16% | |||||||||||
2017FA | 153 | 70 | 45.75% | 57 | 37.25% | 15 | 9.8% | 3 | 1.96% | 4 | 2.61% | 0 | 0.0% | 4 | 2.61% | |||||||||||
2018FA | 133 | 61 | 45.86% | 53 | 39.85% | 10 | 7.52% | 2 | 1.5% | 5 | 3.76% | 0 | 0.0% | 2 | 1.5% | |||||||||||
2019FA | 152 | 69 | 45.39% | 59 | 38.82% | 10 | 6.58% | 2 | 1.32% | 6 | 3.95% | 0 | 0.0% | 6 | 3.95% | |||||||||||
Term | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2015FA | 191 | 7 | 3.66% | 6 | 3.14% | 4 | 2.09% | 104 | 54.45% | |||||||||||||||||
2016FA | 185 | 9 | 4.86% | 2 | 1.08% | 5 | 2.7% | 92 | 49.73% | |||||||||||||||||
2017FA | 153 | 8 | 5.23% | 3 | 1.96% | 2 | 1.31% | 80 | 52.29% | |||||||||||||||||
2018FA | 133 | 5 | 3.76% | 12 | 9.02% | 3 | 2.26% | 60 | 45.11% | |||||||||||||||||
2019FA | 152 | 10 | 6.58% | 5 | 3.29% | 2 | 1.32% | 80 | 52.63% | |||||||||||||||||
Student Characteristics - Unduplicated Student Headcount - College | ||||||||||||||||||||||||||
Term | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2015FA | 12,652 | 6,034 | 47.69% | 6,456 | 51.03% | 162 | 1.28% | 639 | 5.05% | 7,628 | 60.29% | 3,750 | 29.64% | 634 | 5.01% | 1 | 0.01% | |||||||||
2016FA | 12,394 | 5,805 | 46.84% | 6,415 | 51.76% | 174 | 1.4% | 674 | 5.44% | 7,507 | 60.57% | 3,601 | 29.05% | 612 | 4.94% | 0 | 0.0% | |||||||||
2017FA | 11,888 | 5,490 | 46.18% | 6,189 | 52.06% | 209 | 1.76% | 654 | 5.5% | 7,224 | 60.77% | 3,411 | 28.69% | 598 | 5.03% | 1 | 0.01% | |||||||||
2018FA | 11,954 | 5,464 | 45.71% | 6,307 | 52.76% | 183 | 1.53% | 905 | 7.57% | 6,904 | 57.75% | 3,468 | 29.01% | 676 | 5.66% | 1 | 0.01% | |||||||||
2019FA | 11,141 | 4,980 | 44.7% | 5,999 | 53.85% | 162 | 1.45% | 670 | 6.01% | 6,533 | 58.64% | 3,160 | 28.36% | 774 | 6.95% | 4 | 0.04% | |||||||||
Term | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2015FA | 12,652 | 7,430 | 58.73% | 3,012 | 23.81% | 771 | 6.09% | 472 | 3.73% | 343 | 2.71% | 66 | 0.52% | 558 | 4.41% | |||||||||||
2016FA | 12,394 | 7,048 | 56.87% | 3,122 | 25.19% | 811 | 6.54% | 447 | 3.61% | 374 | 3.02% | 67 | 0.54% | 525 | 4.24% | |||||||||||
2017FA | 11,888 | 6,613 | 55.63% | 3,232 | 27.19% | 777 | 6.54% | 435 | 3.66% | 352 | 2.96% | 73 | 0.61% | 406 | 3.42% | |||||||||||
2018FA | 11,954 | 6,512 | 54.48% | 3,279 | 27.43% | 812 | 6.79% | 426 | 3.56% | 393 | 3.29% | 64 | 0.54% | 468 | 3.92% | |||||||||||
2019FA | 11,141 | 5,630 | 50.53% | 3,188 | 28.62% | 782 | 7.02% | 369 | 3.31% | 369 | 3.31% | 69 | 0.62% | 734 | 6.59% | |||||||||||
Term | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2015FA | 12,652 | 428 | 3.38% | 381 | 3.01% | 297 | 2.35% | 5,219 | 41.25% | |||||||||||||||||
2016FA | 12,394 | 446 | 3.6% | 390 | 3.15% | 239 | 1.93% | 4,626 | 37.32% | |||||||||||||||||
2017FA | 11,888 | 535 | 4.5% | 388 | 3.26% | 229 | 1.93% | 4,259 | 35.83% | |||||||||||||||||
2018FA | 11,954 | 509 | 4.26% | 339 | 2.84% | 157 | 1.31% | 3,974 | 33.24% | |||||||||||||||||
2019FA | 11,141 | 508 | 4.56% | 390 | 3.5% | 50 | 0.45% | 3,689 | 33.11% | |||||||||||||||||
Part B - Program Success, Retention, Efficiency | ||||||||||||||||||||||||||
Course Enrollment (Duplicated) - Productivity - Outcomes - Program | ||||||||||||||||||||||||||
Enrollments | Success | Retention | ||||||||||||||||||||||||
Term | Sections | Census | End | Students/Section | Fill Rate | FTEF | FTES | FTES/FTEF | # | % | # | % | Denominator | |||||||||||||
2015FA | 24 | 464 | 443 | 19.33 | 82.42% | 3.85 | 80.62 | 20.94 | 332 | 71.86% | 441 | 95.45% | 462 | |||||||||||||
2016FA | 24 | 463 | 443 | 19.29 | 82.24% | 3.85 | 80.41 | 20.88 | 341 | 74.13% | 440 | 95.65% | 460 | |||||||||||||
2017FA | 23 | 397 | 377 | 17.26 | 73.11% | 3.68 | 69.77 | 18.95 | 314 | 78.5% | 377 | 94.25% | 400 | |||||||||||||
2018FA | 23 | 316 | 300 | 13.74 | 58.2% | 3.68 | 58.86 | 15.98 | 248 | 78.73% | 299 | 94.92% | 315 | |||||||||||||
2019FA | 24 | 365 | 356 | 15.21 | 65.41% | 4.03 | 63.80 | 15.82 | 0 | 0 | 0 | |||||||||||||||
Part C - Degrees and Certificates Awarded | ||||||||||||||||||||||||||
Program - Number of Degrees and Certificates Awarded | ||||||||||||||||||||||||||
Year | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA/AS | 8 | 7 | 87.5% | 1 | 12.5% | 0 | 0.0% | 0 | 0.0% | 4 | 50.0% | 4 | 50.0% | 0 | 0.0% | 0 | 0.0% | |||||||||
CA | 24 | 23 | 95.83% | 1 | 4.17% | 0 | 0.0% | 0 | 0.0% | 16 | 66.67% | 8 | 33.33% | 0 | 0.0% | 0 | 0.0% | |||||||||
2016-17 | ||||||||||||||||||||||||||
AA/AS | 7 | 6 | 85.71% | 0 | 0.0% | 1 | 14.29% | 0 | 0.0% | 3 | 42.86% | 4 | 57.14% | 0 | 0.0% | 0 | 0.0% | |||||||||
CA | 16 | 15 | 93.75% | 0 | 0.0% | 1 | 6.25% | 0 | 0.0% | 7 | 43.75% | 8 | 50.0% | 1 | 6.25% | 0 | 0.0% | |||||||||
2017-18 | ||||||||||||||||||||||||||
AA/AS | 12 | 11 | 91.67% | 1 | 8.33% | 0 | 0.0% | 0 | 0.0% | 6 | 50.0% | 6 | 50.0% | 0 | 0.0% | 0 | 0.0% | |||||||||
CA | 28 | 27 | 96.43% | 1 | 3.57% | 0 | 0.0% | 0 | 0.0% | 17 | 60.71% | 11 | 39.29% | 0 | 0.0% | 0 | 0.0% | |||||||||
2018-19 | ||||||||||||||||||||||||||
AA/AS | 16 | 16 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 8 | 50.0% | 8 | 50.0% | 0 | 0.0% | 0 | 0.0% | |||||||||
CA | 25 | 25 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 13 | 52.0% | 12 | 48.0% | 0 | 0.0% | 0 | 0.0% | |||||||||
2019-20 | ||||||||||||||||||||||||||
AA/AS | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 50.0% | 1 | 50.0% | 0 | 0.0% | 0 | 0.0% | |||||||||
Year | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA/AS | 8 | 4 | 50.0% | 4 | 50.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
CA | 24 | 15 | 62.5% | 8 | 33.33% | 0 | 0.0% | 1 | 4.17% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
2016-17 | ||||||||||||||||||||||||||
AA/AS | 7 | 5 | 71.43% | 1 | 14.29% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 14.29% | |||||||||||
CA | 16 | 7 | 43.75% | 6 | 37.5% | 0 | 0.0% | 0 | 0.0% | 1 | 6.25% | 0 | 0.0% | 2 | 12.5% | |||||||||||
2017-18 | ||||||||||||||||||||||||||
AA/AS | 12 | 10 | 83.33% | 1 | 8.33% | 1 | 8.33% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
CA | 28 | 15 | 53.57% | 9 | 32.14% | 3 | 10.71% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 3.57% | |||||||||||
2018-19 | ||||||||||||||||||||||||||
AA/AS | 16 | 5 | 31.25% | 7 | 43.75% | 3 | 18.75% | 0 | 0.0% | 1 | 6.25% | 0 | 0.0% | 0 | 0.0% | |||||||||||
CA | 25 | 11 | 44.0% | 9 | 36.0% | 4 | 16.0% | 0 | 0.0% | 1 | 4.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
2019-20 | ||||||||||||||||||||||||||
AA/AS | 2 | 1 | 50.0% | 0 | 0.0% | 1 | 50.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Year | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA/AS | 8 | 1 | 12.5% | 0 | 0.0% | 0 | 0.0% | 6 | 75.0% | |||||||||||||||||
CA | 24 | 1 | 4.17% | 1 | 4.17% | 1 | 4.17% | 14 | 58.33% | |||||||||||||||||
2016-17 | ||||||||||||||||||||||||||
AA/AS | 7 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 3 | 42.86% | |||||||||||||||||
CA | 16 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 8 | 50.0% | |||||||||||||||||
2017-18 | ||||||||||||||||||||||||||
AA/AS | 12 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 9 | 75.0% | |||||||||||||||||
CA | 28 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 20 | 71.43% | |||||||||||||||||
2018-19 | ||||||||||||||||||||||||||
AA/AS | 16 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 5 | 31.25% | |||||||||||||||||
CA | 25 | 1 | 4.0% | 0 | 0.0% | 0 | 0.0% | 8 | 32.0% | |||||||||||||||||
2019-20 | ||||||||||||||||||||||||||
AA/AS | 2 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||||||||
College - Number of Degrees and Certificates Awarded | ||||||||||||||||||||||||||
Year | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA/AS | 1,281 | 499 | 38.95% | 772 | 60.27% | 10 | 0.78% | 1 | 0.08% | 635 | 49.57% | 588 | 45.9% | 57 | 4.45% | 0 | 0.0% | |||||||||
AA-T/AS-T | 265 | 119 | 44.91% | 142 | 53.58% | 4 | 1.51% | 0 | 0.0% | 191 | 72.08% | 67 | 25.28% | 7 | 2.64% | 0 | 0.0% | |||||||||
CA | 536 | 340 | 63.43% | 187 | 34.89% | 6 | 1.12% | 1 | 0.19% | 236 | 44.03% | 275 | 51.31% | 24 | 4.48% | 0 | 0.0% | |||||||||
CC | 750 | 359 | 47.87% | 380 | 50.67% | 10 | 1.33% | 1 | 0.13% | 451 | 60.13% | 263 | 35.07% | 35 | 4.67% | 0 | 0.0% | |||||||||
CE | 16 | 2 | 12.5% | 14 | 87.5% | 0 | 0.0% | 2 | 12.5% | 5 | 31.25% | 9 | 56.25% | 0 | 0.0% | 0 | 0.0% | |||||||||
2016-17 | ||||||||||||||||||||||||||
AA/AS | 1,155 | 500 | 43.29% | 644 | 55.76% | 11 | 0.95% | 0 | 0.0% | 589 | 51.0% | 517 | 44.76% | 49 | 4.24% | 0 | 0.0% | |||||||||
AA-T/AS-T | 303 | 135 | 44.55% | 167 | 55.12% | 0 | 0.0% | 1 | 0.33% | 217 | 71.62% | 80 | 26.4% | 5 | 1.65% | 0 | 0.0% | |||||||||
CA | 549 | 335 | 61.02% | 206 | 37.52% | 6 | 1.09% | 0 | 0.0% | 270 | 49.18% | 259 | 47.18% | 20 | 3.64% | 0 | 0.0% | |||||||||
CC | 948 | 413 | 43.57% | 528 | 55.7% | 3 | 0.32% | 6 | 0.63% | 570 | 60.13% | 337 | 35.55% | 35 | 3.69% | 0 | 0.0% | |||||||||
CE | 16 | 6 | 37.5% | 10 | 62.5% | 0 | 0.0% | 0 | 0.0% | 2 | 12.5% | 10 | 62.5% | 4 | 25.0% | 0 | 0.0% | |||||||||
2017-18 | ||||||||||||||||||||||||||
AA/AS | 1,143 | 450 | 39.37% | 684 | 59.84% | 3 | 0.26% | 1 | 0.09% | 585 | 51.18% | 515 | 45.06% | 42 | 3.67% | 0 | 0.0% | |||||||||
AA-T/AS-T | 367 | 151 | 41.14% | 207 | 56.4% | 8 | 2.18% | 1 | 0.27% | 256 | 69.75% | 105 | 28.61% | 5 | 1.36% | 0 | 0.0% | |||||||||
CA | 537 | 355 | 66.11% | 175 | 32.59% | 3 | 0.56% | 0 | 0.0% | 263 | 48.98% | 256 | 47.67% | 18 | 3.35% | 0 | 0.0% | |||||||||
CC | 870 | 412 | 47.36% | 443 | 50.92% | 5 | 0.57% | 2 | 0.23% | 518 | 59.54% | 304 | 34.94% | 46 | 5.29% | 0 | 0.0% | |||||||||
CE | 16 | 6 | 37.5% | 9 | 56.25% | 0 | 0.0% | 1 | 6.25% | 3 | 18.75% | 11 | 68.75% | 1 | 6.25% | 0 | 0.0% | |||||||||
2018-19 | ||||||||||||||||||||||||||
AA/AS | 1,068 | 428 | 40.07% | 624 | 58.43% | 7 | 0.66% | 0 | 0.0% | 529 | 49.53% | 503 | 47.1% | 36 | 3.37% | 0 | 0.0% | |||||||||
AA-T/AS-T | 436 | 184 | 42.2% | 241 | 55.28% | 5 | 1.15% | 0 | 0.0% | 330 | 75.69% | 99 | 22.71% | 7 | 1.61% | 0 | 0.0% | |||||||||
CA | 617 | 401 | 64.99% | 214 | 34.68% | 1 | 0.16% | 1 | 0.16% | 287 | 46.52% | 313 | 50.73% | 16 | 2.59% | 0 | 0.0% | |||||||||
CC | 838 | 458 | 54.65% | 365 | 43.56% | 4 | 0.48% | 10 | 1.19% | 532 | 63.48% | 261 | 31.15% | 35 | 4.18% | 0 | 0.0% | |||||||||
CE | 21 | 4 | 19.05% | 17 | 80.95% | 0 | 0.0% | 1 | 4.76% | 1 | 4.76% | 16 | 76.19% | 3 | 14.29% | 0 | 0.0% | |||||||||
2019-20 | ||||||||||||||||||||||||||
AA/AS | 124 | 63 | 50.81% | 59 | 47.58% | 0 | 0.0% | 1 | 0.81% | 53 | 42.74% | 69 | 55.65% | 1 | 0.81% | 0 | 0.0% | |||||||||
AA-T/AS-T | 47 | 16 | 34.04% | 30 | 63.83% | 0 | 0.0% | 0 | 0.0% | 33 | 70.21% | 14 | 29.79% | 0 | 0.0% | 0 | 0.0% | |||||||||
CA | 49 | 33 | 67.35% | 15 | 30.61% | 1 | 2.04% | 0 | 0.0% | 12 | 24.49% | 36 | 73.47% | 1 | 2.04% | 0 | 0.0% | |||||||||
CC | 59 | 40 | 67.8% | 18 | 30.51% | 0 | 0.0% | 0 | 0.0% | 37 | 62.71% | 18 | 30.51% | 4 | 6.78% | 0 | 0.0% | |||||||||
Year | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA/AS | 1,281 | 777 | 60.66% | 248 | 19.36% | 112 | 8.74% | 39 | 3.04% | 23 | 1.8% | 5 | 0.39% | 77 | 6.01% | |||||||||||
AA-T/AS-T | 265 | 170 | 64.15% | 54 | 20.38% | 18 | 6.79% | 7 | 2.64% | 5 | 1.89% | 0 | 0.0% | 11 | 4.15% | |||||||||||
CA | 536 | 375 | 69.96% | 92 | 17.16% | 23 | 4.29% | 8 | 1.49% | 8 | 1.49% | 6 | 1.12% | 24 | 4.48% | |||||||||||
CC | 750 | 501 | 66.8% | 152 | 20.27% | 37 | 4.93% | 9 | 1.2% | 20 | 2.67% | 1 | 0.13% | 30 | 4.0% | |||||||||||
CE | 16 | 0 | 0.0% | 8 | 50.0% | 8 | 50.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
2016-17 | ||||||||||||||||||||||||||
AA/AS | 1,155 | 689 | 59.65% | 225 | 19.48% | 111 | 9.61% | 41 | 3.55% | 25 | 2.16% | 7 | 0.61% | 57 | 4.94% | |||||||||||
AA-T/AS-T | 303 | 182 | 60.07% | 78 | 25.74% | 20 | 6.6% | 7 | 2.31% | 5 | 1.65% | 2 | 0.66% | 9 | 2.97% | |||||||||||
CA | 549 | 352 | 64.12% | 110 | 20.04% | 38 | 6.92% | 8 | 1.46% | 14 | 2.55% | 2 | 0.36% | 25 | 4.55% | |||||||||||
CC | 948 | 589 | 62.13% | 214 | 22.57% | 50 | 5.27% | 25 | 2.64% | 27 | 2.85% | 6 | 0.63% | 37 | 3.9% | |||||||||||
CE | 16 | 1 | 6.25% | 11 | 68.75% | 1 | 6.25% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 3 | 18.75% | |||||||||||
2017-18 | ||||||||||||||||||||||||||
AA/AS | 1,143 | 678 | 59.32% | 251 | 21.96% | 92 | 8.05% | 39 | 3.41% | 23 | 2.01% | 7 | 0.61% | 53 | 4.64% | |||||||||||
AA-T/AS-T | 367 | 206 | 56.13% | 95 | 25.89% | 19 | 5.18% | 10 | 2.72% | 15 | 4.09% | 1 | 0.27% | 21 | 5.72% | |||||||||||
CA | 537 | 359 | 66.85% | 104 | 19.37% | 39 | 7.26% | 6 | 1.12% | 14 | 2.61% | 4 | 0.74% | 11 | 2.05% | |||||||||||
CC | 870 | 546 | 62.76% | 205 | 23.56% | 56 | 6.44% | 18 | 2.07% | 23 | 2.64% | 5 | 0.57% | 17 | 1.95% | |||||||||||
CE | 16 | 1 | 6.25% | 6 | 37.5% | 6 | 37.5% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 3 | 18.75% | |||||||||||
2018-19 | ||||||||||||||||||||||||||
AA/AS | 1,068 | 583 | 54.59% | 260 | 24.34% | 102 | 9.55% | 33 | 3.09% | 36 | 3.37% | 8 | 0.75% | 46 | 4.31% | |||||||||||
AA-T/AS-T | 436 | 225 | 51.61% | 144 | 33.03% | 24 | 5.5% | 12 | 2.75% | 10 | 2.29% | 2 | 0.46% | 19 | 4.36% | |||||||||||
CA | 617 | 385 | 62.4% | 136 | 22.04% | 52 | 8.43% | 10 | 1.62% | 12 | 1.94% | 4 | 0.65% | 18 | 2.92% | |||||||||||
CC | 838 | 496 | 59.19% | 203 | 24.22% | 60 | 7.16% | 25 | 2.98% | 22 | 2.63% | 7 | 0.84% | 25 | 2.98% | |||||||||||
CE | 21 | 2 | 9.52% | 11 | 52.38% | 6 | 28.57% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 2 | 9.52% | |||||||||||
2019-20 | ||||||||||||||||||||||||||
AA/AS | 124 | 82 | 66.13% | 19 | 15.32% | 9 | 7.26% | 5 | 4.03% | 2 | 1.61% | 0 | 0.0% | 7 | 5.65% | |||||||||||
AA-T/AS-T | 47 | 21 | 44.68% | 16 | 34.04% | 4 | 8.51% | 4 | 8.51% | 0 | 0.0% | 1 | 2.13% | 1 | 2.13% | |||||||||||
CA | 49 | 32 | 65.31% | 13 | 26.53% | 2 | 4.08% | 1 | 2.04% | 0 | 0.0% | 0 | 0.0% | 1 | 2.04% | |||||||||||
CC | 59 | 39 | 66.1% | 14 | 23.73% | 3 | 5.08% | 1 | 1.69% | 1 | 1.69% | 0 | 0.0% | 1 | 1.69% | |||||||||||
Year | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2015-16 | ||||||||||||||||||||||||||
AA-T/AS-T | 265 | 10 | 3.77% | 3 | 1.13% | 9 | 3.4% | 131 | 49.43% | |||||||||||||||||
AA/AS | 1,281 | 40 | 3.12% | 22 | 1.72% | 70 | 5.46% | 576 | 44.96% | |||||||||||||||||
CA | 536 | 18 | 3.36% | 18 | 3.36% | 34 | 6.34% | 221 | 41.23% | |||||||||||||||||
CC | 750 | 33 | 4.4% | 17 | 2.27% | 18 | 2.4% | 324 | 43.2% | |||||||||||||||||
CE | 16 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 2 | 12.5% | |||||||||||||||||
2016-17 | ||||||||||||||||||||||||||
AA-T/AS-T | 303 | 10 | 3.3% | 6 | 1.98% | 12 | 3.96% | 146 | 48.18% | |||||||||||||||||
AA/AS | 1,155 | 48 | 4.16% | 23 | 1.99% | 54 | 4.68% | 498 | 43.12% | |||||||||||||||||
CA | 549 | 13 | 2.37% | 10 | 1.82% | 23 | 4.19% | 218 | 39.71% | |||||||||||||||||
CC | 948 | 47 | 4.96% | 21 | 2.22% | 29 | 3.06% | 435 | 45.89% | |||||||||||||||||
CE | 16 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||||||||
2017-18 | ||||||||||||||||||||||||||
AA-T/AS-T | 367 | 27 | 7.36% | 8 | 2.18% | 13 | 3.54% | 150 | 40.87% | |||||||||||||||||
AA/AS | 1,143 | 67 | 5.86% | 22 | 1.92% | 36 | 3.15% | 486 | 42.52% | |||||||||||||||||
CA | 537 | 24 | 4.47% | 16 | 2.98% | 17 | 3.17% | 174 | 32.4% | |||||||||||||||||
CC | 870 | 56 | 6.44% | 34 | 3.91% | 20 | 2.3% | 296 | 34.02% | |||||||||||||||||
CE | 16 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 3 | 18.75% | |||||||||||||||||
2018-19 | ||||||||||||||||||||||||||
AA-T/AS-T | 436 | 24 | 5.5% | 9 | 2.06% | 21 | 4.82% | 188 | 43.12% | |||||||||||||||||
AA/AS | 1,068 | 52 | 4.87% | 27 | 2.53% | 42 | 3.93% | 434 | 40.64% | |||||||||||||||||
CA | 617 | 24 | 3.89% | 9 | 1.46% | 8 | 1.3% | 220 | 35.66% | |||||||||||||||||
CC | 838 | 39 | 4.65% | 9 | 1.07% | 19 | 2.27% | 315 | 37.59% | |||||||||||||||||
CE | 21 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 3 | 14.29% | |||||||||||||||||
2019-20 | ||||||||||||||||||||||||||
AA-T/AS-T | 47 | 3 | 6.38% | 0 | 0.0% | 1 | 2.13% | 1 | 2.13% | |||||||||||||||||
AA/AS | 124 | 3 | 2.42% | 1 | 0.81% | 4 | 3.23% | 6 | 4.84% | |||||||||||||||||
CA | 49 | 1 | 2.04% | 1 | 2.04% | 0 | 0.0% | 3 | 6.12% | |||||||||||||||||
CC | 59 | 1 | 1.69% | 0 | 0.0% | 1 | 1.69% | 5 | 8.47% | |||||||||||||||||
Program (Major Requirements Only) - Median Months to Complete for Degrees Awarded | ||||||||||||||||||||||||||
2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | ||||||||||||||||||||||
Type | Median | Median | Median | Median | Median | |||||||||||||||||||||
AA/AS | 38 | 34 | 29 | 35 | 43 | |||||||||||||||||||||
Program (All Requirements) - Median Months to Complete for Degrees and Certificates Awarded | ||||||||||||||||||||||||||
2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | ||||||||||||||||||||||
Type | Median | Median | Median | Median | Median | |||||||||||||||||||||
AA/AS | 68 | 70 | 47 | 58 | 95 | |||||||||||||||||||||
CA | 36 | 34 | 29 | 24 | ||||||||||||||||||||||
College (Major Requirements Only) - Median Months to Complete for Degrees Awarded | ||||||||||||||||||||||||||
2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | ||||||||||||||||||||||
Type | Median | Median | Median | Median | Median | |||||||||||||||||||||
AA-T/AS-T | 29 | 29 | 29 | 29 | 34 | |||||||||||||||||||||
AA/AS | 34 | 32 | 34 | 34 | 31 | |||||||||||||||||||||
College (All Requirements) - Median Months to Complete for Degrees and Certificates Awarded | ||||||||||||||||||||||||||
2015-16 | 2016-17 | 2017-18 | 2018-19 | 2019-20 | ||||||||||||||||||||||
Type | Median | Median | Median | Median | Median | |||||||||||||||||||||
AA-T/AS-T | 36 | 34 | 36 | 41 | 46 | |||||||||||||||||||||
AA/AS | 46 | 46 | 48 | 53 | 60 | |||||||||||||||||||||
CA | 10 | 12 | 11 | 17 | 8 | |||||||||||||||||||||
CC | 6 | 10 | 5 | 5 | 3 | |||||||||||||||||||||
CE | 15 | 57 | 8 | 10 | ||||||||||||||||||||||
Part D - Number of Courses Offered: Enrollment/Fill Rates | ||||||||||||||||||||||||||
Fall 2015 | Fall 2016 | Fall 2017 | Fall 2018 | Fall 2019 | ||||||||||||||||||||||
Course | Mode | Title | Sects | Enrlmts | Success | Fill Rate | Sects | Enrlmts | Success | Fill Rate | Sects | Enrlmts | Success | Fill Rate | Sects | Enrlmts | Success | Fill Rate | Sects | Enrlmts | Success | Fill Rate | ||||
AUT-1 | Intro-Automotive Tech | 2 | 72 | 49.3% | 60.0% | 2 | 72 | 59.72% | 60.0% | 2 | 70 | 52.86% | 58.33% | 2 | 50 | 51.02% | 41.67% | 2 | 77 | 64.17% | ||||||
AUT-2 | Honda Express Service | 1 | 16 | 87.5% | 66.67% | 1 | 17 | 64.71% | 70.83% | 1 | 14 | 100.0% | 58.33% | 1 | 9 | 77.78% | 37.5% | 1 | 11 | 45.83% | ||||||
AUT-3 | HB | Honda PACT Special Auto Elect | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 48.0% | |||||||||||||
AUT-6 | Auto Electrical Systems Lec | 1 | 20 | 85.0% | 100.0% | 1 | 16 | 93.75% | 80.0% | 1 | 12 | 100.0% | 60.0% | 1 | 18 | 100.0% | 90.0% | 1 | 9 | 45.0% | ||||||
AUT-7 | Auto Elect Systems Lab | 1 | 20 | 100.0% | 100.0% | 1 | 16 | 93.75% | 80.0% | 1 | 12 | 100.0% | 60.0% | 1 | 18 | 94.44% | 90.0% | 1 | 9 | 45.0% | ||||||
AUT-8 | Auto Engines Lec | 1 | 21 | 85.71% | 105.0% | 1 | 22 | 86.36% | 110.0% | 1 | 22 | 95.45% | 110.0% | 1 | 10 | 100.0% | 50.0% | 1 | 17 | 85.0% | ||||||
AUT-9 | Auto Engines Lab | 1 | 20 | 85.0% | 100.0% | 1 | 22 | 77.27% | 110.0% | 1 | 22 | 77.27% | 110.0% | 1 | 10 | 100.0% | 50.0% | 1 | 17 | 85.0% | ||||||
AUT-20 | Auto Suspension Systems Lec | 1 | 21 | 80.95% | 105.0% | 1 | 18 | 94.44% | 90.0% | 1 | 13 | 92.31% | 65.0% | 1 | 18 | 100.0% | 90.0% | 1 | 10 | 50.0% | ||||||
AUT-21 | Auto Suspension Sys Lab | 1 | 21 | 95.24% | 105.0% | 1 | 17 | 100.0% | 85.0% | 1 | 13 | 92.31% | 65.0% | 1 | 18 | 94.44% | 90.0% | 1 | 10 | 50.0% | ||||||
AUT-22 | Auto Heating & AC Lec | 1 | 20 | 90.0% | 100.0% | 1 | 21 | 90.48% | 105.0% | 1 | 20 | 100.0% | 100.0% | 1 | 12 | 91.67% | 60.0% | 1 | 18 | 90.0% | ||||||
AUT-23 | Auto Heating & AC Lab | 1 | 20 | 90.0% | 100.0% | 1 | 21 | 76.19% | 105.0% | 1 | 20 | 90.0% | 100.0% | 1 | 13 | 76.92% | 65.0% | 1 | 18 | 90.0% | ||||||
AUT-30 | Engine Performance Lec | 1 | 15 | 85.71% | 75.0% | 1 | 15 | 71.43% | 75.0% | 1 | 16 | 68.75% | 80.0% | 1 | 16 | 81.25% | 80.0% | 1 | 10 | 50.0% | ||||||
AUT-31 | Engine Performance Lab | 1 | 14 | 92.86% | 70.0% | 1 | 13 | 76.92% | 65.0% | 1 | 16 | 81.25% | 80.0% | 1 | 14 | 100.0% | 70.0% | 1 | 9 | 45.0% | ||||||
AUT-41 | HB | Specialized Auto Elect | 2 | 38 | 68.42% | 76.0% | 2 | 35 | 48.57% | 70.0% | 2 | 33 | 69.7% | 66.0% | 2 | 33 | 54.55% | 66.0% | 1 | 21 | 84.0% | |||||
AUT-42 | HB | Adv. Specialized Auto Elec | 1 | 13 | 7.69% | 52.0% | 1 | 13 | 84.62% | 52.0% | 1 | 4 | 100.0% | 16.0% | 1 | 4 | 50.0% | 16.0% | 0 | 0 | ||||||
AUT-52 | Auto Transmissions Lec | 1 | 20 | 55.0% | 100.0% | 1 | 21 | 90.48% | 105.0% | 1 | 19 | 63.16% | 95.0% | 1 | 16 | 81.25% | 80.0% | 1 | 14 | 70.0% | ||||||
AUT-53 | Auto Transmissions Lab | 1 | 19 | 63.16% | 95.0% | 1 | 21 | 80.95% | 105.0% | 1 | 21 | 80.95% | 105.0% | 1 | 18 | 83.33% | 90.0% | 1 | 14 | 70.0% | ||||||
AUT-56 | Manual Transmission Lec | 1 | 16 | 75.0% | 80.0% | 1 | 21 | 95.0% | 105.0% | 1 | 17 | 100.0% | 85.0% | 1 | 6 | 83.33% | 30.0% | 1 | 14 | 70.0% | ||||||
AUT-57 | Manual Transmission Lab | 1 | 14 | 78.57% | 70.0% | 1 | 21 | 85.0% | 105.0% | 1 | 17 | 94.44% | 85.0% | 1 | 6 | 83.33% | 30.0% | 1 | 14 | 70.0% | ||||||
AUT-60 | Hybrid & Alternative Fuel Tech | 1 | 11 | 100.0% | 55.0% | 1 | 15 | 66.67% | 75.0% | 1 | 11 | 90.91% | 55.0% | 1 | 13 | 92.31% | 65.0% | 1 | 9 | 45.0% | ||||||
AUT-73 | Over the Road Diesel Veh Lec | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 75.0% | ||||||||||||||
AUT-74 | Over the Road Diesel Veh Lab | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 15 | 75.0% | ||||||||||||||
AUT-114 | Auto Body Repair | 1 | 16 | 87.5% | 80.0% | 1 | 11 | 63.64% | 55.0% | 0 | 0 | 0 | 0 | 0 | 0 | |||||||||||
AUT-200 | Chassis, Eng, Elect, Aut Skill | 1 | 19 | 42.11% | 154.17% | 1 | 22 | 63.64% | 145.83% | 1 | 8 | 33.33% | 104.17% | 1 | 8 | 50.0% | 58.33% | 1 | 15 | 91.67% | ||||||
AUT-201 | Emiss, Trans Auto Skills Pract | 1 | 18 | 38.89% | 1 | 13 | 7.69% | 1 | 17 | 64.71% | 1 | 6 | 66.67% | 1 | 7 | |||||||||||
Part E - Student Success | ||||||||||||||||||||||||||
Student Success - Program | ||||||||||||||||||||||||||
Gender | Age | Local Cumulative GPA at Start of Term | ||||||||||||||||||||||||
Term | Total | Male | Female | < 18 | 18-24 | 25-49 | 50+ | < 2.0 | 2.0 - 2.5 | 2.6 - 3.0 | 3.1 - 3.5 | > 3.5 | No GPA | |||||||||||||
2015FA | 71.86% | 73.08% | 58.14% | 57.14% | 71.02% | 76.64% | 0.0% | 42.86% | 80.92% | 83.19% | 86.27% | 87.88% | 41.18% | |||||||||||||
2016FA | 74.13% | 74.36% | 61.9% | 66.67% | 69.21% | 86.47% | 66.67% | 54.39% | 70.0% | 83.33% | 90.16% | 88.89% | 53.23% | |||||||||||||
2017FA | 78.5% | 79.09% | 69.23% | 44.44% | 78.91% | 79.53% | 87.5% | 61.54% | 79.66% | 85.85% | 86.89% | 96.43% | 54.1% | |||||||||||||
2018FA | 78.73% | 80.69% | 56.0% | 52.63% | 79.38% | 82.35% | 73.33% | 83.33% | 92.94% | 96.77% | 100.0% | 42.86% | ||||||||||||||
African | Americn | Pacific | Unknwn/ | Foster | Econ | |||||||||||||||||||||
Term | Total | White | Hispanic | Asian | Americn | Indian | Islander | Other | DSPS | Youth | Veteran | Disadv | ||||||||||||||
2015FA | 71.86% | 71.84% | 78.0% | 60.0% | 62.5% | 88.89% | 100.0% | 26.67% | 30.77% | 37.5% | 37.5% | 75.29% | ||||||||||||||
2016FA | 74.13% | 79.58% | 66.67% | 74.19% | 50.0% | 63.64% | 91.67% | 33.33% | 50.0% | 53.33% | 77.73% | |||||||||||||||
2017FA | 78.5% | 78.49% | 80.0% | 73.68% | 66.67% | 75.0% | 83.33% | 81.48% | 33.33% | 88.89% | 81.69% | |||||||||||||||
2018FA | 78.73% | 71.76% | 82.01% | 88.46% | 100.0% | 84.62% | 100.0% | 90.91% | 50.0% | 88.89% | 78.52% | |||||||||||||||
Student Success - College | ||||||||||||||||||||||||||
Gender | Age | Local Cumulative GPA at Start of Term | ||||||||||||||||||||||||
Term | Total | Male | Female | < 18 | 18-24 | 25-49 | 50+ | < 2.0 | 2.0 - 2.5 | 2.6 - 3.0 | 3.1 - 3.5 | > 3.5 | No GPA | |||||||||||||
2015FA | 70.89% | 68.56% | 73.16% | 73.93% | 68.7% | 75.7% | 77.95% | 41.39% | 62.42% | 74.41% | 84.46% | 88.98% | 62.86% | |||||||||||||
2016FA | 73.37% | 72.0% | 74.63% | 77.34% | 71.65% | 77.04% | 77.9% | 46.67% | 65.0% | 76.59% | 85.42% | 88.93% | 67.0% | |||||||||||||
2017FA | 72.41% | 71.15% | 73.33% | 76.04% | 70.91% | 75.9% | 74.52% | 45.94% | 63.26% | 74.96% | 85.32% | 88.69% | 65.84% | |||||||||||||
2018FA | 78.54% | 76.82% | 79.93% | 79.7% | 77.67% | 80.84% | 76.64% | 55.02% | 73.32% | 82.96% | 89.06% | 91.18% | 70.93% | |||||||||||||
2019FA | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | |||||||||||||||||||
African | Americn | Pacific | Unknwn/ | Foster | Econ | |||||||||||||||||||||
Term | Total | White | Hispanic | Asian | Americn | Indian | Islander | Other | DSPS | Youth | Veteran | Disadv | ||||||||||||||
2015FA | 70.89% | 72.63% | 67.87% | 74.1% | 61.38% | 65.01% | 67.51% | 72.46% | 72.03% | 53.15% | 70.31% | 71.28% | ||||||||||||||
2016FA | 73.37% | 75.24% | 70.01% | 75.78% | 65.58% | 66.36% | 76.19% | 78.02% | 72.27% | 53.63% | 72.45% | 74.36% | ||||||||||||||
2017FA | 72.41% | 74.86% | 68.44% | 76.91% | 61.44% | 66.2% | 70.31% | 77.87% | 68.92% | 58.64% | 78.67% | 72.6% | ||||||||||||||
2018FA | 78.54% | 80.19% | 75.98% | 82.66% | 68.08% | 72.89% | 76.56% | 82.63% | 79.9% | 66.39% | 76.96% | 82.55% | ||||||||||||||
2019FA | 100.0% | 100.0% | 100.0% | 100.0% | ||||||||||||||||||||||
Part F - Persistence | ||||||||||||||||||||||||||
Focused Persistence - Program (one year) | ||||||||||||||||||||||||||
Term | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2015FA | 177 | 61.02% | 157 | 64.33% | 19 | 31.58% | 1 | 100.0% | 7 | 28.57% | 120 | 58.33% | 48 | 75.0% | 2 | 0.0% | 0 | |||||||||
2016FA | 170 | 57.06% | 158 | 58.23% | 10 | 50.0% | 1 | 0.0% | 6 | 50.0% | 117 | 56.41% | 45 | 60.0% | 2 | 50.0% | 0 | |||||||||
2017FA | 142 | 57.04% | 132 | 57.58% | 9 | 55.56% | 0 | 7 | 14.29% | 97 | 57.73% | 36 | 63.89% | 2 | 50.0% | 0 | ||||||||||
2018FA | 114 | 59.65% | 104 | 60.58% | 10 | 50.0% | 0 | 10 | 30.0% | 77 | 58.44% | 27 | 74.07% | 0 | 0 | |||||||||||
2019FA | 145 | 0.0% | 132 | 0.0% | 13 | 0.0% | 0 | 11 | 0.0% | 111 | 0.0% | 21 | 0.0% | 2 | 0.0% | 0 | ||||||||||
Term | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2015FA | 177 | 61.02% | 96 | 59.38% | 55 | 69.09% | 10 | 70.0% | 7 | 28.57% | 4 | 50.0% | 1 | 0.0% | 4 | 50.0% | ||||||||||
2016FA | 170 | 57.06% | 86 | 54.65% | 63 | 57.14% | 8 | 75.0% | 4 | 50.0% | 7 | 57.14% | 0 | 2 | 100.0% | |||||||||||
2017FA | 142 | 57.04% | 62 | 54.84% | 55 | 63.64% | 14 | 57.14% | 3 | 33.33% | 4 | 50.0% | 0 | 4 | 25.0% | |||||||||||
2018FA | 114 | 59.65% | 54 | 55.56% | 45 | 64.44% | 6 | 66.67% | 2 | 100.0% | 5 | 40.0% | 0 | 2 | 50.0% | |||||||||||
2019FA | 145 | 0.0% | 66 | 0.0% | 57 | 0.0% | 9 | 0.0% | 2 | 0.0% | 5 | 0.0% | 0 | 6 | 0.0% | |||||||||||
Term | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2015FA | 177 | 61.02% | 7 | 85.71% | 6 | 33.33% | 4 | 50.0% | 99 | 67.68% | ||||||||||||||||
2016FA | 170 | 57.06% | 9 | 44.44% | 2 | 50.0% | 5 | 60.0% | 85 | 64.71% | ||||||||||||||||
2017FA | 142 | 57.04% | 8 | 75.0% | 3 | 33.33% | 2 | 50.0% | 73 | 58.9% | ||||||||||||||||
2018FA | 114 | 59.65% | 5 | 60.0% | 12 | 41.67% | 2 | 100.0% | 52 | 59.62% | ||||||||||||||||
2019FA | 145 | 0.0% | 9 | 0.0% | 5 | 0.0% | 2 | 0.0% | 80 | 0.0% | ||||||||||||||||
Focused Persistence - College (one year) | ||||||||||||||||||||||||||
Term | Total | Male | Female | Unknown | Age 17 & Under | Age 18-24 | Age 25-49 | Age 50+ | Unknown | |||||||||||||||||
2019FA | 8,924 | 0.0% | 4,048 | 0.0% | 4,755 | 0.0% | 41 | 0.0% | 629 | 0.0% | 5,926 | 0.0% | 2,159 | 0.0% | 210 | 0.0% | 0 | |||||||||
2018FA | 9,475 | 55.43% | 4,274 | 56.48% | 5,050 | 54.51% | 49 | 51.02% | 857 | 42.24% | 5,985 | 57.33% | 2,425 | 55.75% | 208 | 51.44% | 0 | |||||||||
2015FA | 10,407 | 59.52% | 4,941 | 59.72% | 5,330 | 59.27% | 77 | 63.64% | 606 | 63.04% | 6,784 | 60.66% | 2,732 | 55.89% | 285 | 59.65% | 0 | |||||||||
2016FA | 10,044 | 59.74% | 4,674 | 60.59% | 5,220 | 58.68% | 63 | 77.78% | 631 | 63.87% | 6,585 | 60.64% | 2,563 | 56.5% | 265 | 58.87% | 0 | |||||||||
2017FA | 9,573 | 58.24% | 4,398 | 59.44% | 5,000 | 57.12% | 61 | 62.3% | 615 | 61.79% | 6,313 | 58.83% | 2,411 | 56.24% | 234 | 53.42% | 0 | |||||||||
Term | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
2019FA | 8,924 | 0.0% | 4,430 | 0.0% | 2,725 | 0.0% | 639 | 0.0% | 321 | 0.0% | 319 | 0.0% | 62 | 0.0% | 428 | 0.0% | ||||||||||
2018FA | 9,475 | 55.43% | 5,048 | 54.91% | 2,734 | 55.27% | 691 | 61.36% | 350 | 50.0% | 331 | 50.76% | 57 | 59.65% | 264 | 63.64% | ||||||||||
2015FA | 10,407 | 59.52% | 6,037 | 58.46% | 2,538 | 61.39% | 659 | 65.55% | 396 | 54.55% | 296 | 57.09% | 54 | 57.41% | 427 | 60.66% | ||||||||||
2016FA | 10,044 | 59.74% | 5,579 | 58.81% | 2,624 | 60.52% | 701 | 65.05% | 381 | 61.15% | 321 | 55.14% | 56 | 64.29% | 382 | 59.95% | ||||||||||
2017FA | 9,573 | 58.24% | 5,155 | 57.15% | 2,736 | 59.47% | 666 | 63.21% | 368 | 55.71% | 307 | 55.37% | 66 | 57.58% | 275 | 61.09% | ||||||||||
Term | Total | DSPS | Foster Youth | Veteran | Econ Disadvantg | |||||||||||||||||||||
2019FA | 8,924 | 0.0% | 438 | 0.0% | 340 | 0.0% | 34 | 0.0% | 3,428 | 0.0% | ||||||||||||||||
2018FA | 9,475 | 55.43% | 445 | 59.1% | 288 | 48.61% | 124 | 58.06% | 3,612 | 64.87% | ||||||||||||||||
2015FA | 10,407 | 59.52% | 394 | 66.24% | 343 | 53.35% | 269 | 61.34% | 4,847 | 65.4% | ||||||||||||||||
2016FA | 10,044 | 59.74% | 406 | 66.01% | 343 | 55.1% | 201 | 63.68% | 4,219 | 68.62% | ||||||||||||||||
2017FA | 9,573 | 58.24% | 473 | 66.6% | 330 | 50.3% | 192 | 66.15% | 3,903 | 64.9% | ||||||||||||||||
Part G - Faculty Demographics | ||||||||||||||||||||||||||
Faculty Gender/Age - Program | ||||||||||||||||||||||||||
Term | Total | Male | Female | Unknown | Age 35 & Under | Age 36-49 | Age 50+ | Unknown | ||||||||||||||||||
Fall 2015 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 20.0% | 1 | 20.0% | 3 | 60.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 2 | 100.0% | 0 | 0.0% | |||||||||||
Fall 2016 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 20.0% | 1 | 20.0% | 3 | 60.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 2 | 100.0% | 0 | 0.0% | |||||||||||
Fall 2017 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 20.0% | 1 | 20.0% | 3 | 60.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 50.0% | 0 | 0.0% | 1 | 50.0% | 0 | 0.0% | |||||||||||
Fall 2018 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 20.0% | 1 | 20.0% | 3 | 60.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 50.0% | 0 | 0.0% | 1 | 50.0% | 0 | 0.0% | |||||||||||
Fall 2019 | ||||||||||||||||||||||||||
Full-time | 6 | 6 | 100.0% | 0 | 0.0% | 0 | 0.0% | 1 | 16.67% | 1 | 16.67% | 4 | 66.67% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 50.0% | 1 | 50.0% | 0 | 0.0% | |||||||||||
Faculty Ethnicity - Program | ||||||||||||||||||||||||||
Term | Total | White | Hispanic | Asian | African American | American Indian | Pacific Islander | Unknown/Other | ||||||||||||||||||
Fall 2015 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Fall 2016 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Fall 2017 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Fall 2018 | ||||||||||||||||||||||||||
Full-time | 5 | 5 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Fall 2019 | ||||||||||||||||||||||||||
Full-time | 6 | 6 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part-time | 2 | 2 | 100.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | |||||||||||
Part H - Faculty Load | ||||||||||||||||||||||||||
Faculty Load - Program | ||||||||||||||||||||||||||
Term | Total | Full-Time | Overld/Load Bank | Part-Time | Voluntary Overld | Contract Services | Admin Load | |||||||||||||||||||
2015FA | 3.85 | 2.52 | 1.03 | 0.30 | ||||||||||||||||||||||
2016FA | 3.85 | 2.64 | 0.66 | 0.30 | 0.25 | |||||||||||||||||||||
2017FA | 3.68 | 2.62 | 0.56 | 0.25 | 0.25 | |||||||||||||||||||||
2018FA | 3.68 | 2.72 | 0.46 | 0.25 | 0.25 | |||||||||||||||||||||
2019FA | 4.03 | 3.14 | 0.65 | 0.25 | ||||||||||||||||||||||
Faculty Load - College | ||||||||||||||||||||||||||
Term | Total | Full-Time | Overld/Load Bank | Part-Time | Voluntary Overld | Contract Services | Admin Load | |||||||||||||||||||
2015FA | 192.80 | 65.21 | 10.62 | 89.85 | 26.71 | 0.42 | ||||||||||||||||||||
2016FA | 196.15 | 68.03 | 11.00 | 83.57 | 0.25 | 32.83 | 0.43 | |||||||||||||||||||
2017FA | 206.16 | 68.00 | 13.20 | 84.57 | 0.31 | 39.57 | 0.52 | |||||||||||||||||||
2018FA | 196.89 | 73.33 | 10.46 | 86.95 | 0.34 | 25.48 | 0.33 | |||||||||||||||||||
2019FA | 190.92 | 76.45 | 13.39 | 83.76 | 16.97 | 0.36 | ||||||||||||||||||||
Part I - SURE Report Data | ||||||||||||||||||||||||||
Year | Revenue | Cost | Rev to Cost Ratio | |||||||||||||||||||||||
2015-16 | $823,208 | $875,794 | 0.94 | |||||||||||||||||||||||
2016-17 | $819,105 | $794,191 | 1.03 | |||||||||||||||||||||||
2017-18 | $1,015,018 | $908,609 | 1.12 | |||||||||||||||||||||||
2018-19 | $905,005 | |||||||||||||||||||||||||
2019-20 | $205,813 | |||||||||||||||||||||||||
Part J - Program Percentage of Total Distict FTES | ||||||||||||||||||||||||||
Term | % of Total FTES | |||||||||||||||||||||||||
2015FA | 1.61% | |||||||||||||||||||||||||
2016FA | 1.64% | |||||||||||||||||||||||||
2017FA | 1.47% | |||||||||||||||||||||||||
2018FA | 1.29% | |||||||||||||||||||||||||
2019FA | 1.67% | |||||||||||||||||||||||||
We promote the importnace of not only getting a COA but an AS degree.
We make tax payers.
IMPLEMENTED RECOMMENDATIONS
Build out the 6000sqFt - With the passage of Measure J the Automotive program is actively pursuing approval for funding the completion of the 6000 sq. ft. undeveloped area at the Skyway Center. The build out will fulfill our commitment to providing training needed in industry. As recommended by our advisory committee members, a diesel technology class is missing from our program and without expanding our footprint we can’t offer any more classes or increase class size to reduce the wait list.
Additional Full Time Faculty - The validation team recommends hiring two full-time faculty members who would reduce current overloads, allow for the department to offer an accelerated schedule reducing student’s time in the program from 2.5 semesters to 2 semesters, provide for additional student advising support, and allow for the incorporation of a full fledge alternative fuels program. This class could generate additional revenue if built in collaboration with Contract Education. In Fall 2015 one additional Full-Time faculty member was added. While the new faculty member did allow for the addition of the alternative fuel class, it did not reduce overload or increase student to instructor contact in the lab.
RECOMMENDATIONS TO BE ADDRESSED
Hire Lab Assistant - Two (2) full time instructors are needed to cover the Diesel Technology Class and work as a lab assistant, the second instructor would also work as a lab assistant and teach existing classes thus relieving instructor overload.
We want to continue to grow the diesel program. Now that COVID is spooling down and classes are F2F and starting to normalize, we expect it to grow in number of students. Also, a recent partnership with PAC Car (Kenworth/Peterbilt) will give more factory specific training to our students.
Strategy 1 - Support Industry Partner Coordinator
Subaru U Coordinator
Our partnership with American Honda has proven to be a draw for our automotive program. Recently we have added a partnership with Subaru Of America (SOA). Thus far, SOA has donated over $200,000 in diagnostic equipment, training aids and vehicles to your program. Currently we have graduated 6 students from that partnership program, and all are working full time at dealerships. The Department Chair currently is tasked with maintaining and promoting this program. The responsibilities of managing the department, teaching overload and the Subaru U partnership is proving to be too much. To maintain this partnership and prevent its loss a coordinator, much like the PACT coordinator is needed. This partnership provides a career pathway for students wanting to work in a Subaru dealership. To maintain these partnerships, create and maintain relationships with employers and support the students transition from school to the workforce a Subaru u Coordinator is needed. The coordinator must visit the students and service managers in our service areas and that includes Redding in the north and Davis to the south. The coordinator must also ensure the currency of faculty and coordinate factory training as needed. The department asks for the development of the position and reassign time for the Subaru U Coordinator be 20% and the stipend of $6,622.12 become part of the annual Automotivebudget.
Strategy 2 - Diesel Technology Program
Foster and Grow the Diesel Technology Program
Even though the Diesel Technology Program has suffered through Camp Fire challenges, COVID 19 challenges, it continues to grow. As the program grows, the need for training aids specific to the program are needed. With the social distancing needed to instruct F2F and even after that subsides a dump truck is needed for a training aid. Currently we burrow one from the HEO program on campus, but we are limited with time and what we can do mechanically to the truck. We are currently looking for a solution and can move forward if funding is available.
Strategy 3 - Increase Department Chair to Chair II
Increase Department Chair to level II.
The last program review in 2014 recommended that the Department Chair be increased from its current level. In the years that followed, the program has grown with the addition of the Alternative Fuels class and its instructor, a partnership with Subaru of America and now the Diesel Program. With all that the Chair is still teaching in overload, responsible for the Subaru partnership and mentoring the new instructors. Additional reassign time is needed to perform the duties expected to the level that is expected by the college. The department asks the chair position to be increased to Chair II.
Strategy 4 - Maintain a Professional Looking Facility
Replace flooring in classrooms and lab. Paint Classrooms
Flooring in the classrooms were "value engineered" during the remodel of the Skyway Center. Paint was applied to the floors and it is now peeling up creating a very unsightly and unprofessional look. In the shop area the floors were sealed but the slip hazard that comes with the work being performed has never been addressed. The department would like a non-slip sealant added to the shop floors and flooring added to the classrooms to eliminate the peeling paint. Our partnerships wiht Subaru and Honda ask that factory color schemes be applied to lecture rooms. The paint is starting to show wear and needs re painted. When the painting is done, we ask that SC112 represent Honda PACT and 103 represent Subaru.
Strategy 5 - Hire 1 FT Faculty Member
The department has/will be short two full time faculty members as of May 2021. One to retirement and one to an unexpected death. To continue to deliver a quality automotive and diesel program, the department needs to replace on FT Faculty member at a minimum.
There are very few associate faculty members that can instruct during the day as those with the correct qualifications have FT jobs. We CAN NOT rely on associate faculty to teach the needed classes. If we rely on existing FT faculty, time to completion will increase as will instructor overload.
Strategy 6 - Program Recruiter
Employ a recruiter to service local areas and promote the program and its offering.
FT faculty in the department visit high schools in the area during breaks but need to have a dedicated recruiter to effectively promote the program.
Strategy 7 - Auto Body Repair Classes
Develop a stackable certificate in Auto Body Repair.
We keep getting calls from body shops in the area telling us the need to produce entry level body persons. This will also provide another high paying occupation for our students.
CAP Program
Butte College houses the (Smog Referee Station) California Consumer Assistance Program (CAP) on a long-term lease which generates $12,000 annually.
Strong Work Force (SWF)
$40,971.91
American Honda Contributions:
2 new cars $44,500
Subaru Of America
3 New Cars $128000
Original Priority | Program, Unit, Area | Resource Type | Account Number | Object Code | One Time Augment | Ongoing Augment |
Description | Supporting Rationale | Potential Alternative Funding Sources | Prioritization Criteria | |||
1 | Automotive Technology | Personnel | $120,000.00 | $120,000.00 | ||
Replace FT Faculty | The department will be short 2 FT faculty members as of May 21. One FT faculty replacement is needed to keep from extending the time of completion for students. |
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2 | Automotive | Operating Expenses | $0.00 | $1,775.00 | ||
Increase position to Chair II | The last program review in 2014 recommended that the Department Chair be increased from its current level. In the years that followed, the program has grown with the addition of the Alternative Fuels class and its instructor, a partnership with Subaru of America and now the Diesel Program. With all that the Chair is still teaching in overload, responsible for the Subaru partnership and mentoring the new instructors. Additional reassign time is needed to perform the duties expected to the level that is expected by the college. The department asks the chair position be increased to be Chair II. |
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3 | Automotive | Personnel | 110005161094800 | 51240 | $0.00 | $6,787.00 |
Reassign time and stipend for Subaru U Coordinator | Our partnership with American Honda has proven to be a draw for our automotive program. Recently we have added a partnership with Subaru Of America (SOA). Thus far, SOA has donated over $200,000 in diagnostic equipment, training aids and vehicles to your program. Currently we have graduated 6 students from that partnership program, and all are working full time at dealerships. The Department Chair currently is tasked with maintaining and promoting this program. The responsibilities of managing the department, teaching overload and the Subaru U partnership is proving to be too much. To maintain this partnership and prevent its loss a coordinator, much like the PACT coordinator is needed. This partnership provides a career pathway for students wanting to work in a Subaru dealership. To maintain these partnerships, create and maintain relationships with employers and support the students transition from school to the workforce a Subaru u Coordinator is needed. The coordinator must visit the students and service managers in our service areas and that includes Redding in the north and Davis to the south. The coordinator must also ensure the currency of faculty and coordinate factory training as needed. The department asks for the development of the position and reassign time for the Subaru U Coordinator be 20% and the stipend of $6,622.12 become part of the annual Automotive budget or funded by Perkins Funds. |
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4 | Automotive | Facilities | $5,000.00 | $0.00 | ||
Paint Interior Walls | Per our contract with industry partners, one classroom should be dedicated to the respective program and represent its colors. Due to heavy-year round utilization, the original paint is getting soiled. The program need to paint SC128 with Honda PACT colors and SC112 with Subaru USA colors. Also floors need resurfaced with nonslip coating. |
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5 | Automotive Technology | Personnel | $0.00 | $50,000.00 | ||
Recruiter | Need a full time recruiter to promote program. |
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