Artificial intelligence for all
The overall goal of Artificial Intelligence for All is the development of Artificial Intelligence (AI) courses and an interdisciplinary certificate that will expose all college students to AI, while building capacity for the development of a four-year degree in applied AI. This project aims to serve the national interest by increasing community colleges’ capacity to attract and train students in AI.
The four-year grant will be implemented at MDC in collaboration with University of Florida’s Department of Engineering Education, Texas A&M University- Commerce's Department of Higher Education and Learning Technologies and the non-profit organization AI4ALL. The project will also count with the support from subject matter experts from companies like IBM, AWS, and Microsoft.
Course Offerings
As part of this grant, MDC is offering the courses AI Thinking, Machine Learning Foundations, Applied AI in Business and AI & Ethics. Scholarship opportunities will be available for MDC students residing in Miami-Dade County that enroll in these classes. The funds will be applied at the in-state tuition rate after all other resources available to cover tuition and fees have been applied.
Upcoming classes starting on Fall 2023.
| Courses | Class Number | Days | Time | Starting Date | Modality | Campus |
|---|---|---|---|---|---|---|
| CAI 1603C AI Thinking | 11932 | T | 11:15 a.m. - 12:55 p.m. | 8/21/2023 | BL (Blended) | Hialeah |
| CAI 1603C AI Thinking | 12475 | TR | 9:50 a.m. - 11:05 a.m. | 8/21/2023 | P (In Person) | Wolfson |
| PHI 2680 AI & Ethics | 11536 | TR | 8:25 a.m. - 9:40 a.m. | 8/21/2023 | P (In Person) | North |
| GEB 1432 Applied AI in Business | 11947 | M | 11:15 p.m. - 12:55 p.m. | 8/21/2023 | BL (Blended) | Hialeah |
| CAI 1603C AI Thinking | 12728 | M | 6:00 p.m. - 7:40 p.m. | 9/11/2023 | BL (Blended) | North |
| CAI 2651C Machine Learning Foundations | 12731 | M | 7:50 p.m. - 9:30 p.m. | 9/11/2023 | BL (Blended) | North |
| CAI 1603C AI Thinking | 10165 | S | 9:00 a.m. - 1:20 p.m. | 9/25/2023 | LV (MDC Live) | Kendall |
| GEB 1432 Applied AI in Business | 11474 |
W | 5:40 p.m. - 9:00 p.m. | 9/25/2023 | LV (MDC Live) | Wolfson |
| CAI 2651C Machine Learning Foundations | 12929 |
S | 9 a.m. – 1:20 p.m. | 9/25/2023 | LV (MDC Live) | Kendall |
| PHI 2680 AI & Ethics | 12443 |
M | 11:15 a.m. - 12:55 p.m. | 10/23/2023 | BL (Blended) | Hialeah |
| GEB 1432 Applied AI in Business | 9993 | TR | 6:40 p.m. - 9:10 p.m. | 10/23/2023 | LV (MDC Live) | North |
Outcomes
As part of this National Science Foundation (NSF) grant, the School of Engineering and Technology (EnTec) is working on the following areas:
- Provide industry-based professional development for MDC faculty to develop and pilot AI courses, and to integrate AI into existing courses.
- Adapt previously developed and tested AI courses from University of Florida for use in a credit-granting AI program at MDC.
- Create interdisciplinary courses that make an AI certificate available and relevant to all MDC students.
- Establish multiple student entry points into AI for traditional students and existing professionals. The project seeks to meet students where they “are”: geographically, economically, and academically.
- Provide support mechanisms that engage and encourage underrepresented minorities students to study AI.
Leadership Team
- Antonio Delgado, (P.I.), VP of Innovation and Technology Partnerships, MDC
- Joseph A. Weathers (Co-P.I.), Instructor, School of Engineering and Technology, MDC
- Sarah Rodriguez (Co-P.I.), Associate Professor, Department of Higher Education and Learning Technologies, TAMUC
- Diego Alvardo (Co-P.I.), Lecturer, Department of Engineering Education, UF
Contact Information
Yeny Jimenez
Grant Project Manager, AI for ALL
School of Engineering, Technology and Design
Office: North Campus, Room 1245
Email: ynuneztr@mdc.edu
Sponsor
Full support for this work was provided by the National Science Foundation Advanced Technological Education (ATE) program under Award No. 2115153. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
