AI for All Education and Training

This initiative aims to generate interest, broaden the participation of underrepresented groups, diversify education pathways, foster multidisciplinary research, and advance careers in AI. Building upon the A&M-SA’s AI infrastructure, this initiative can be strategically accomplished by developing AI curricula, educating students, and providing AI training for faculty, researchers, and staff. Four population groups are targeted:

1. All computing majors at both Undergraduate and Graduate levels at A&M-SA;
2. All non-computing majors at A&M-SA;
3. Faculty members, researchers, and staff at A&M-SA who wish to integrate AI into their current or future research but don’t know how to start; and
4. Faculty members of local Alamo CCs and HSs who want to integrate AI  knowledge, skills, and tools into their classrooms and work or professional development. 

AI Certificates for All Computing Majors at A&M-SA

Effective Fall 2024, to earn an AI Certificate, students complete the following three courses at each of the undergraduate (UG) and graduate (G) levels to learn the concepts of Artificial Intelligence, Machine Learning & Deep Learning, and Big Data Systems/Analytics.  

1. Undergraduate AI Certificate with the three required courses
   • CSCI 4313 Artificial Intelligence
   • CSCI 4314 Big Data Systems
   • CSCI 4341 Machine Learning

2. Graduate AI Certificate with the three required courses
   • CSCI 5313 Artificial Intelligence
   • CSCI 5315 Big Data Analytics
   • CSCI 5341 Machine Learning and Deep Learning

AI Minor for All Majors at A&M-SA (proposing, in process)

This ‘Non-Technical’ Applied Minor in Artificial Intelligence (AI) integrates critical AI literacy skills and concepts into teaching and learning practices. The Minor in AI is designed to provide all students at Texas A&M University-San Antonio with a strong foundation in AI literacy skills and AI thinking, in all academic disciplines, ensuring that A&M-SA graduates have the skills necessary to succeed in the workforce increasingly defined by evolving AI technologies.  

To earn a ‘Non-Technical’ Applied Minor in AI, students will complete six courses listed below:

Four ‘non-technical’ computer science courses (12 hrs)

• CSCI 1345 Introduction to AI
• CSCI 2345 AI and Data
• CSCI 3345 AI Ethics & Policy
• CSCI 4345 Generative AI in Action

Two electives (6 hrs) selected from AI-integrated or designated courses in each respective discipline.

Computer Science:

• CSCI 4313 Artificial Intelligence, CSCI 4314 Big Data Systems, CSCI 4341 Machine Learning

Cybersecurity:

• CSEC 3321 Information Technology, CSEC 3313 Artificial Intelligence (AI) for Cyber Defense

AI Training Workshop for Faculty. Researchers, Educators, Staff, and MS Students

The AI Training Workshop will offer faculty, researchers, educators, and staff unique opportunities to incorporate AI technologies, tools, and principles into their research, teaching practices, and professional development. This aims to promote collaborative multidisciplinary research in diverse fields including but not limited to community health, biology, psychology, sociology, computer science, cyber security, criminology, data science, mathematics, economics, finance, education, and more.