Review Assessment Report

Part 1: Contact & Program Identification

Report Year and Contact Information
Academic YearModified ByDate Modified
2020-2021geguchi@cnm.edu2021-12-06T23:18:38.695Z
SchoolName of ProgramCourses
BITCSCI Flex Gen EdCSCI 1152,CSCI 1151,CSCI 1108,CSCI 1153

Part 2: Program Summary

Provide a high level review of the program to include highlights, successes, challenges, significant changes, and significant resources needed to support the program
The Computer Science (CSCI) program was initiated by the School of Mathematics, Sciences, and Engineering (MSE) then transferred to the School of Business and Information Technology (BIT) in Spring 2016. The CSCI program is based on the undergraduate curriculum guidelines published in “Computer Science Curricular 2013” by the ACM/IEEE joint task force. Our two major goals are: 1) enable graduates to pursue science/technology degrees at the colleges/universities of their choice 2) gain national recognition as an exceptional program in order to increase opportunities for graduates The biggest challenge of 2020-2021 year for the CSCI program has been COVID-19. In additional to the typical remote-learning issues, the program temporarily lost key senior faculty. The addition of two new CS faculty members in Fall 2020 helped prevent an impact to students, but the year was challenging. Regardless, the program persevered and with their valuable experience, the faculty are ready to help the program thrive and grow.

Part 3: Data Review

2018-20192019-20202020-2021
Annual number of graduate awards is greater than 10n/an/an/a
Number of declared majorsn/an/an/a
Average Class Size18.920.322.4
Annual Average Class withdrawal rate is 30% or below (SAGE 35%)13%24%17%
Annual C-Pass rate for coursework is 60% or above65%55%59%
Average class fill rate at 60% or above capacity within a term or over a year63%68%75%
Graduate Transfer to 4-year Schoolsn/an/an/a
Full-time Faculty Coverage by Section82%69%90%
Summarize how your program met or did not meet the target measures based on the data above
The program exceeded most targets, except C-pass rate. There is still has room for improvement. The average fill rate and average retention rate exceeded the target from 2018-2021. In 2020-2021: - The average fill rate for our classes was 75%, which exceeds the target 60% by 15%. - The average retention rate for our classes was 83%, which exceeds the target 70% by 13%. - The average C-pass rate for our classes was 59%, which undershot the target 60% by 1%. The C-pass rate did not meet the target. This may be due to a number of factors. Possible factors include: - The overall difficulty of Computer Science subject material - Recent faculty changes - Need to standardize grading. - Areas of teaching need improvement We will be actively exploring improving all of these areas.

Part 4: Program Learning Outcome Analysis

Learning OutcomePopulation or Course(s) AssessedDescriptionSummary of Assessment Results
1.Critical Thinking
CSCI 1108, CSCI 1151, CSCI 1152, and CSCI 1153.
  • Final Exam
  • Test or Quiz
  • Homework Assignments
  • Class Project
  • In-class Activities
From the assignments, programming, and exams students will demonstrate their computational thinking methodologies, algorithm design, and program solving skills
3.Quantitative Reasoning
CSCI 1108, CSCI 1151, CSCI 1152, and CSCI 1153.
    Programming assignments and tests/exams are used to demonstrate the level and capacity of understanding and implementations.
    2.Information and Digital Literacy
    CSCI 1108, CSCI 1151, CSCI 1152, and CSCI 1153.
    • Final Exam
    • Test or Quiz
    • Class Project
    • In-class Activities
    • Homework Assignments
    The results of the assignments are used to measure the outcome of theory learning.
    Interpretation of Assessment findings
    N/A

    Part 5: Additional Action Plan in Support of Student Learning (If Appropriate)

    Upcoming YearChanges Planned for the upcoming yearData Motivating this change
    2021-2022
    Streamline the teaching of CSCI-1108, CSCI-1151, CSCI-1152, CSCI-2251
    Graduation numbers and C-passing rate
    2021-2022
    Establish a new elective course to allow student to explore and expand their computation scope.
    Enrollment and retention rate
    2021-2022
    Organize as key staff members retire
    Dr. Chu Jong will be retiring beginning in 2022. This report would also like to congratulate Dr. Chu Jong on his retirement and recognize his incredible contributions to the program. Dr. Jong dedicated himself to the program for many years and the program is the better for it. His shoes will be hard to fill and his loss will be challenging, but we wish him the best personally and professionally. Thank you, and best of luck, Chu.
    Please select all of the following that characterize the types of changes described in the above action plan
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