Survey to Collect Feedback on Proposed New Program Criteria for Artificial Intelligence, Machine Learning (AI/ML) and similarly named programs

* 1. Program Criteria for Artificial Intelligence, Machine Learning, and Similarly Named Programs

These program criteria apply to computing programs using artificial intelligence, machine learning, or similar terms in their titles.

3. Student Outcomes
In addition to outcomes 1 through 5, graduates of the program will also have an ability to: 6) Apply artificial intelligence theories, models, and techniques to design and implement AI-based solutions that solve complex problems.

5. Curriculum
The curriculum requirements are in addition to the General Criteria curriculum requirements and specify topics, but do not prescribe specific courses. These requirements are:

a. At least 42 semester credit hours (or equivalent) of artificial intelligence (AI) coursework that must cover the following:

1. Fundamental AI topics:
a. AI foundations, such as reasoning, heuristic search, and knowledge representation.
b. Programming, data structures, and algorithms.
c. Data and knowledge engineering.
d. Machine learning, including deep learning.
e. Design and implementation of AI solutions.
f. AI system architecture and infrastructure.
g. Ethics and responsible AI.

2. Advanced AI topics that build on the fundamental topics to provide depth.

3. Application area: Coverage of at least one application area at uses AI.

4. A major project that requires integrating and applying knowledge and skills acquired in earlier coursework.

b. Mathematics and Statistics: At least 9 semester credit hours (or equivalent) must include statistical inference and modeling, linear algebra, probability, data visualization, and optimization topics.


Please rate your support (or lack thereof) for the proposed criteria shown above.