Review Assessment Report

Part 1: Contact & Program Identification

Report Year and Contact Information
Academic YearModified ByDate Modified
2020-2021[email protected]2021-11-30T21:10:58.952Z
SchoolName of ProgramCourses
BITArtificial Intelligence and Machine Learning CertificateNone

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
This is a new certificate program. Certificate will be assessed during the 2021-2022 academic year.

Part 3: Data Review

2018-20192019-20202020-2021
Annual number of graduate awards is greater than 10000
Number of declared majors000
Average Class Sizen/an/an/a
Annual Average Class withdrawal rate is 30% or below (SAGE 35%)n/an/an/a
Annual C-Pass rate for coursework is 60% or aboven/an/an/a
Average class fill rate at 60% or above capacity within a term or over a yearn/an/an/a
Graduate Transfer to 4-year Schoolsn/an/an/a
Full-time Faculty Coverage by Sectionn/an/an/a
Summarize how your program met or did not meet the target measures based on the data above
New certificate program. No data available.

Part 4: Program Learning Outcome Analysis

Learning OutcomePopulation or Course(s) AssessedDescriptionSummary of Assessment Results
1. Apply common artificial intelligence (AI) concepts and methodologies, including neural networks/Deep Learning, machine learning, Natural Language Processing, Computer Vision, and data science, for analysis and decision making.
AIML 2010
    Data unavailable.
    2. Apply artificial intelligence (AI) project development and machine learning life cycle to address social and business issues, opportunities, and problems.
    AIML 1010
      Data unavailable.
      3. Apply statistical analysis and machine learning algorithms to predict usefulness of artificial intelligence (AI) programming solutions.
      AIML 2010, BCIS 1330
        Data unavailable.
        4. Use appropriate programming languages to implement artificial intelligence (AI) solutions.
        AIML 2010
          Data unavailable.
          5. Evaluate issues of bias, culture, environment, ethics, regulations, and professional expectations in the field of artificial intelligence (AI) and machine learning.
          AIML 1010
            Data unavailable.
            Interpretation of Assessment findings
            New certificate program. Program will be assessed for the 2021-2022 academic year.

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

            Upcoming YearChanges Planned for the upcoming yearData Motivating this change
            2021-2022
            2021-2022
            2021-2022
            Please select all of the following that characterize the types of changes described in the above action plan
            2021-2024 CNM - Digital Services
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