Review Assessment Report

Part 1: Contact & Program Identification

Report Year and Contact Information
Academic Year	Modified By	Date Modified
2020-2021	geguchi@cnm.edu	2021-11-19T20:37:45.576Z

School	Name of Program	Courses
BIT	Computer Science Degree	CSCI 1152,BCIS 1110,CSCI 2201,COMM 1130,CSCI 2251,MATH 1520,MATH 1510

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.

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

	2018-2019	2019-2020	2020-2021
Annual number of graduate awards is greater than 10	9	28	25
Number of declared majors	701	666	656
Average Class Size	24.2	23.1	22.1
Annual Average Class withdrawal rate is 30% or below (SAGE 35%)	12%	15%	14%
Annual C-Pass rate for coursework is 60% or above	76%	71%	67%
Average class fill rate at 60% or above capacity within a term or over a year	82%	79%	77%
Graduate Transfer to 4-year Schools	n/a	54%	n/a
Full-time Faculty Coverage by Section	48%	50%	60%

Summarize how your program met or did not meet the target measures based on the data above
The program exceeded all targets, and still has room for improvement. The average fill rate, average retention rate, and average C-pass rate exceeded the target from 2018-2021. The annual number of graduates exceeded the target from 2019-2021. In 2020-2021: - The average fill rate for our classes was 77%, which exceeds the target 60% by 17%. - The average retention rate for our classes was 86%, which exceeds the target 70% by 16%. - The average C-pass rate for our classes was 67%, which exceeds the target 60% by 7%. - The annual number of graduates was 25, which exceeds the target by 15. The low number of graduates likely reflects the fact that the majority of CS students enter the program to acquire a BS, and do not work towards an AS. However, the increase in graduates from 9 in 2018 to 25 in 2021 indicates a growing interest in the AS. A trend we will watch is the declining C-Pass rate. This may be due to recent faculty changes, and could indicate a need to standardize grading.

Summarize how your program met or did not meet the target measures based on the data above

The program exceeded all targets, and still has room for improvement. The average fill rate, average retention rate, and average C-pass rate exceeded the target from 2018-2021. The annual number of graduates exceeded the target from 2019-2021. In 2020-2021: - The average fill rate for our classes was 77%, which exceeds the target 60% by 17%. - The average retention rate for our classes was 86%, which exceeds the target 70% by 16%. - The average C-pass rate for our classes was 67%, which exceeds the target 60% by 7%. - The annual number of graduates was 25, which exceeds the target by 15. The low number of graduates likely reflects the fact that the majority of CS students enter the program to acquire a BS, and do not work towards an AS. However, the increase in graduates from 9 in 2018 to 25 in 2021 indicates a growing interest in the AS. A trend we will watch is the declining C-Pass rate. This may be due to recent faculty changes, and could indicate a need to standardize grading.

Part 4: Program Learning Outcome Analysis

Learning Outcome	Population or Course(s) Assessed	Description	Summary of Assessment Results
Able to solve problem cross network and platform via both lower and higher level API	CSCI 2251	Final Exam Test or Quiz Class Project Instructor Observation Homework Assignments	Semester project -- student present their ability of integrating learned topics and work with others as a team. A student team is composed by two to three student members. Semester project and programming assignments and tests/exams are used to demonstrate the ability of system integration and software development life cycle.
Apply algorithms to problems involving complex computation, compare and analyze different approaches of computation problems	CSCI 2201	Final Exam Test or Quiz Instructor Observation Homework Assignments	From the assignments, programming, and exams students will demonstrate their computational thinking methodologies, algorithm design, and program solving skills
Apply appropriate data structure, access of data, operate data stored in the both internal and external computation devices	CSCI 1152/1151	Final Exam Test or Quiz Class Project In-class Activities Instructor Observation Homework Assignments	From the programming assignments and semester project, student will apply different data structures to solve computational problems.
Apply software package (such as MATLAB) to solve computation problems.	CSCI 1153	Final Exam Test or Quiz Class Project In-class Activities Instructor Observation Homework Assignments	The MATLAB programming assignment provide students different ways of solving their engineering equations and problems.
Apply the principles of a variety computation theories and techniques to solve problems.	CSCI 2201	Final Exam Test or Quiz	The results of the assignments are used to measure the outcome of theory learning.
Demonstrate an understanding of algorithm, problem solving by creating algorithmic solutions, and provide practical implementations.	CSCI 2251	Final Exam Test or Quiz Instructor Observation Homework Assignments	Programming assignments and tests/exams are used to demonstrate the level and capacity of understanding and implementations.
Demonstrate an understanding of algorithm, problem solving by creating algorithmic solutions, and provide practical implementations.	CSCI 2251	Final Exam Test or Quiz Instructor Observation Homework Assignments	Programming assignments and tests/exams are used to demonstrate the level and capacity of understanding and implementations.
Develop moderate complex computer programs using programming languages	CSCI 1152/1151	Homework Assignments In-class Activities Class Project Final Exam Test or Quiz	Programming assignments and Exams are the evaluation method for the ability of how to develop a computation solution.
Develop the knowledge of computational thinking skills and build the fundamental structures for agent-based computer modeling.	CSCI 1108 – CS For All: Introduction to Computer Modeling	Final Exam Test or Quiz Class Project In-class Activities Homework Assignments	Students use the NetLogo programming environment to model the real-world activities which bring them from conceptual thinking to reality.
Write programs using predefined functions and procedures, conditional statements, control structures, matrix computations, and graphing and plotting (using MATLAB).	CSCI 1153	Final Exam Test or Quiz Instructor Observation Homework Assignments	Get familiar with the widely used engineering tool, MATLAB, not only model the real problems but also provide adequate programming for students to implement their learning.

Interpretation of Assessment findings
N/A

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

Upcoming Year	Changes Planned for the upcoming year	Data 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

Back