Request an AI Course Designation
A UF AI course designation is a standard and required part of the UF course approval process. The AI Curriculum Committee (AICC) reviews course submissions. The AICC includes leading UF AI faculty representing all colleges at UF and AI² Center staff. To be considered for this designation, submit the form that best describes your undergraduate course.
Choose From Five AI Course Categories
Through the AI course designation process, the AICC reviews and vets your course to ensure it meets UF AI course content requirements and that the course is assigned at least one of these five AI literacy categories:
Use-AI
Use and Apply AI
Apply AI knowledge, concepts, and applications in different scenarios. AI course content is over 50%.
Know-AI
Know and Understand AI
Know the basic functions of AI and how to correctly use AI applications. AI course content is over 50%.
Build-AI
Evaluate and Create AI
Use higher-order thinking skills to evaluate, appraise, predict, and design with AI applications. AI course content is over 50%.
Ethical-AI
AI Ethics/Policy
Examine AI and policy, fairness, accountability, transparency, ethics, and safety. AI course content is over 50%.
Enable-AI
AI Enabled
Support AI through related knowledge and skill development, such as programming or statistics. AI course content is 10-49%.
A Designation Increases the Visibility of Your AI Course on Campus
Assigning a category helps your students find AI courses offered across campus. The category assignment also helps students understand the type and level of AI content to expect in the course. The AI designated courses include assignments that directly address the Student Learning Outcomes (SLOs) aligned with the five AI literacy categories.
Most courses fit into only one primary category designation. If you want to request multiple AI categories, contact the chair of the UF AI Curriculum Committee at ai@ufl.edu for guidance. For example, a course containing 100% AI-related content wanting to choose two designations could be a course that has content that contains 50% AI know and understand and 50% AI ethics.
Form Submission Tips
On the second page of your form submission:
- For the “Title of request” enter the course title, course prefix, and course number.
- For the “Description of request” enter “Requesting AI Course Designation.”
Include Student Learning Outcomes (SLOs)
SLOs describe the knowledge, skills, and attitudes we expect students to acquire from the course. In your submission, include SLO language verbatim that matches the course category.
Know AI
SLO1. Identify, describe, and/or explain the components, requirements, and/or characteristics of AI.
SLO2. Recognize, identify, describe, define, and/or explain applications of AI in multiple domains.
Use-AI
SLO3. Select and/or utilize AI tools and techniques appropriate to a specific context and application.
Ethical-AI
SLO4. Develop, apply, and/or evaluate contextually appropriate ethical frameworks to use across all aspects of AI.
Build-AI
SLO5. Assess the context-specific value or quality of AI tools and applications.
SLO6. Conceptualize and/or develop tools, hardware, data, and/or algorithms utilized in AI solutions.
Enable-AI
Any of the six SLOs may be used:
- SLO1. Identify, describe, and/or explain the components, requirements, and/or characteristics of AI.
- SLO2. Recognize, identify, describe, define, and/or explain applications of AI in multiple domains.
- SLO3. Select and/or utilize AI tools and techniques appropriate to a specific context and application.
- SLO4. Develop, apply, and/or evaluate contextually appropriate ethical frameworks to use across all aspects of AI.
- SLO5. Assess the context-specific value or quality of AI tools and applications.
- SLO6. Conceptualize and/or develop tools, hardware, data, and/or algorithms utilized in AI solutions.
The difference is in the amount (%) of content covered in the course.
Review UF AI Course Syllabi Requirements
For your submission, include the AI category and SLO verbiage associated with that category. Including the verbatim statements for the SLOs of the AI category is a required part of AI courses and syllabi.
Review this example of a successful AI designated syllabus.
Upload your syllabus after you create and submit the request. Use the “Add Document” button to upload the syllabus.
You must also include a weekly schedule of topics and some description of each assignment. Topics and assignments that directly relate to SLOs must be clearly noted with the specific SLOs in the syllabi.
| Week | AI-Related Topic | Provide # of Contact Hours of AI-Related Content | Provide Details: AI-Related Readings, Projects, and Assignments |
| 1 | |||
| 2 | |||
| 3 |
Prepare and Submit Your Submission
Before submitting an undergraduate course for review, select an AI course designation category and ensure your syllabus aligns with AI course designation requirements and SLOs. If you have any questions, submit them here.
AI Curriculum Committee Members
| Name | Title | College | Role |
| Hans van Oostrom | Founding Chair and Associate Professor | Herbert Wertheim College of Engineering | Chair |
| Garrett Beatty | Instructional Associate Professor; Assistant Dean for Innovation & Entrepreneurship | College of Health and Human Performance | Member |
| Ragnhildur Bjarnadottir | Assistant Professor | College of Nursing | Member |
| Melanie Correll | Associate Professor | College of Agricultural and Life Sciences | Member |
| Jim Hoover | Clinical Professor | Warrington College of Business | Member |
| Kati Migliaccio | Dean | College of Agricultural and Life Sciences | Member |
| Francois Modave | Professor | College of Medicine | Member |
| Mindy McAdams | Professor | College of Journalism and Communications | Member |
| Roberta Pileggi | Associate Dean for Advanced and Graduate Education; Associate Professor | College of Dentistry | Member |
| Mattia Prosperi | Professor | College of Public Health and Health Professions | Member |
| Jane Southworth | Department Chair and Professor | College of Liberal Arts and Sciences | Member |
| David Therriault | Associate Professor | College of Education | Member |
| Mackenzie Donovan | Associate Director of Operations, Programs, and Initiatives | AI² Center | Staff |
| Jenna Molen | Project Manager | AI² Center | Staff |
Frequently Asked Questions
In a university course on AI, students will typically learn about topics including but not limited to:
- The history and foundations of AI
- Problem-solving techniques, such as search and planning
- Knowledge representation and reasoning, including formal logic and ontologies
- Machine learning, including supervised, unsupervised, and deep learning
- Natural language processing, including you understand and generate human language
- Perception, including computer vision and sensor-based AI
- Robotics, including robot planning and control
- Ethical, legal, policy, and other social implications of AI
- How to design and implement AI systems
- Theoretical and practical issues related to AI systems
If you teach a course that you are submitting for AI designation and do not see your course AI topic listed, please contact us at ai@ufl.edu.
Your submission goes to the AI Curriculum Committee (AICC). We review each submission for the percentage of AI content included within the course. Then we verify this percentage using the syllabus you provided. We also check the accuracy for the AI category requested.
The AICC meets monthly to review, discuss, and vote on all course submissions. The committee chooses one of these options:
- Approved
- Conditionally Approved (small administrative change)
- Recycle (go back to submitter)
- Deny
Designated flow of the UF Course approval system:
- Department
- College
- AI Curriculum Committee (AICC)
- University Curriculum Committee (UCC)
- Statewide Course Numbering System (SCNS)
- Registrar (OUR)
- Catalog (CAT)
- Student Academic Advisement System (SASS)
- College