Program and Discipline Improvement Process Computer Science

Transcription

1 Program and Discipline Improvement Process Computer Science 1. FTE and headcount a. FTE b. Students (unduplicated headcount) c. Enrollments (duplicated headcount) % change from prior year % change from prior year % change from prior year Notes: Data reflect students enrolled in the following discipline courses during the year: CS: 101, 120, 140, 145, 215, 240, 289 Full-time equivalent (FTE) is the total number of credits enrolled within the discipline throughout the academic year divided by FTE is the equivalent of 1 student enrolled in 15 credits through fall, winter, and spring quarters. Tech-prep and college in the high school enrollments are excluded Co-op and WAOL enrollments are excluded for all disciplines except early childhood education of 13

2 2. Courses and sections offered a. Courses b. Sections c. Percent of sections taught by full-time faculty Notes: Data include all classes with at least one enrollment (tech-prep and college in the high shcool are excluded). Co-op and WAOL courses are excluded for all disciplines except early childhood education. Clustered courses count as one section per cluster. Learning contracts and cooperative courses are exluded from the count of sections (2b) and the percent of sections taught by full-time faulcty (2c). 2 of 13

3 3. Enrollments by mode of learning Enrollments (duplicated headcount) Percent of program Past 5 years Past 5 years Face-to-face % Hybrid 12 3% Online - WCC 0 0% Notes: Data include all students who have taken at least one face-to-face, hybrid, or online course within the discipline during the year (tech-prep and college in the high shcool are excluded). Co-op and WAOL courses are excluded for all disciplines except early childhood education. 3 of 13

4 4. Enrollments by student demographics Age Students (unduplicated headcount) Percent of program Past 5 years Past 5 years Under % % % 40 and above 7 2% Disability 24 8% 4 of 13

5 4. Enrollments by student demographics, continued Ethnicity Students (unduplicated headcount) Percent of program Past 5 years Past 5 years African American 4 2% Asian / Pacific Islander 18 7% Hispanic 18 7% Native American 2 1% Multi-racial / other 23 9% White % First generation % 5 of 13

6 4. Enrollments by student demographics, continued Full-time/part-time Students (unduplicated headcount) Percent of program Past 5 years Past 5 years Full-time % Part-time 98 32% Mixed 16 5% Gender Female 47 15% Male % Notes: Full-time/part-time status is determined by the number of quarters a student is enrolled as either full-time or part-time during the academic year (excluding summer). For each academic year, students are considered to be full-time if they attended at least 2 quarters full-time, part-time if they attended at least 2 quarters part-time, and mixed if they enrolled for only 2 quarters of the year, with 1 quarter full-time and 1 quarter part-time. 6 of 13

7 4. Enrollments by student demographics, continued Students (unduplicated headcount) Percent of program Past 5 years Past 5 years Pell awarded 88 28% Running Start 51 16% Student of color 65 26% Notes: Pell data are currently unavailable prior to of 13

8 5. Course-specific data Course a. Enrollments (duplicated headcount) b. Sections c. Average class size d. Fill rate CS 101: Computers and software CS 120: HTML fundamentals CS 140: Computer programming I CS 145: Computer programming II CS 215: C & c++ programming 8 of 13

9 5. Course-specific data Course a. Enrollments (duplicated headcount) b. Sections c. Average class size d. Fill rate CS 240: Data structure and algorithm CS 289: learning contract Notes: Data include all credit classes with at least one enrollment (tech-prep and college in the high school classes are excluded). Co-op and WAOL courses are excluded for all disciplines except early childhood education. Clustered classes are included in enrollment (a) and section (b) data, but excluded in the calculation of average class size (c) and fill rate (d). Co-op courses and learning contracts are included in enrollment data only (excluded in count of sections, average class size, and fill rate). Enrollment data reflect total students per class per quarter. Clustered classes count as one enrollment per cluster per quarter, regardless of the number of courses within the cluster a student is enrolled. Course fill rate is calcuated as the sum of course enrollments divided by sum of class capacites for all sections of the course. Average fill rate for the discipline is calculated as the sum of all discipline enrollments / sum of all discipline class capacities. 9 of 13

10 6a. Student performance: Course completion by mode of learning Enrollment (duplicated headcount) Marginal Noncompletion Average Course success rate success (% earning an A through C, or S) rate rate course Grade distribution (% earning (% earning grade College Discipline C- to D-, or P) F, U, W, V, I) (4 point scale) Successful Marginal Non-completion College-wide Face-to-face 31,745 80% 7% 14% 3.01 Hybrid 1,782 79% 5% 16% 3.09 Online - WCC 5,744 78% 7% 16% 3.02 Discipline-specific Face-to-face % 6% 23% 2.88 Hybrid 12 92% 0% 8% of 13

11 Notes: Vertical lines reresent the college-wide course success rate for each modality. Horizontal bars represent the discipline-specific course success rates. Data include all credit classes with at least one enrollment (tech-prep and college in the high school classes are excluded). Co-op and WAOL courses are excluded for all disciplines except early childhood education. N and * grades are excluded. Enrollment data reflect total students per class per quarter. Clustered classes count as one enrollment per cluster per quarter, regardless of the number of courses within the cluster a student is enrolled. Each course within a cluster is included in course success data, even when students are enrolled in multiple courses within a cluster). 11 of 13

12 6b. Student performance: Individual course completion rates Enrollment (duplicated headcount) Marginal Noncompletion Average Course success rate success (% earning an A through C, or S) rate rate course Grade distribution (% earning (% earning grade College Disc. Course C- to D-, or P) F, U, W, V, I) (4 point scale) Successful Marginal Non-completion College overall 39,536 79% 6% 14% 3.01 Discipline overall % 6% 23% 2.89 CS 101: Computers and software 23 87% 0% 13% 3.28 CS 120: HTML fundamentals 12 75% 0% 25% 3.09 CS 140: Computer programming I % 7% 26% 2.83 CS 145: Computer programming II % 5% 20% 2.95 CS 240: Data structure and algorithm 26 77% 8% 15% of 13

13 Notes: Vertical lines reresent the college-wide course success rate. Gray horizontal bars represent the discipline-specific course success rate. Blue horizontal bars represent course-specific succes rates. Data include all credit classes with at least one enrollment (tech-prep and college in the high school classes are excluded). Co-op and WAOL courses are excluded for all disciplines except early childhood education. Excludes N and * grades. Enrollment data reflect total students per class per quarter. For the college and discipline totals, clustered classes count as one enrollment per cluster per quarter, regardless of the number of courses within the cluster a student is enrolled. For course-specific data, students are counted for each course they are enrolled, regardless of clustering. Course success data include all courses within a cluster, even when students are enrolled in multiple courses within a cluster. Results for courses with fewer than 10 enrollments have been omitted (marked with an asterisk). College-wide course success rate represents all courses included in the program/discipline improvement process. 13 of 13