Come get to know the David Lawrence Center, presented byFGCU's Psychology Department and Psychology Club. For more than 55 years, DLC has been committed to ensuring behavioral health care is available to everyone in need through education, prevention, intervention and treatment. DLC delivers care throughout the community through six distinct centers of operation, including mental health, addiction recovery, emergency services, awareness and prevention, virtual care, and children and young adults. To learn more about the lifesaving and life-changing services and programs offered by David Lawrence Centers, visit DLCenters.org.

Our office an many of our amazing RSOs will be out sharing the wonderful ways to get connected at FGCU with current and perspective Eagles!

Join RA Hailey for an art event! Enjoy free food, making bracelets, painting, and interacting with other residents!

Join RA Elena for a pizza and movie night to engage in a social event with other residents on the 4 High Hallway! 

PLEASE NOTE: THIS IS A TWO-DAY EVENT! PLEASE ENSURE YOU ATTEND BOTH DAYS OR YOU WILL MISS OUT ON CONTENT. - Monday, November 10th: 3-5PM - Wednesday, November 12th: 3-5PM Goal: Equip learners with enough understanding to confidently use and critically evaluate AI tools. Level: Basic Target Audience: Students, Staff, and Faculty from FGCU. IMPORTANT NOTE: Topics are sequenced, please have the asynchronous portions completed by the start date of the synchronous events (November 10th).  Class Structure:  This program is administered through Canvas. Please be patient as you will be granted access to the classroom as soon as possible. Be sure to check your email for your invitation to the Canvas Classroom. Topics:         Asynchronous             1. A Brief History of AI             2. What is AI and Its Many Branches             3. How Machines Learn             4. Generative AI & LLMs                 Synchronous             November 10 (3-5 PM)                 5. Fundamentals of Prompt Engineering                 6. Context Engineering             November 12 (3-5 PM)                 7. Foundational Models and Tools                 8. Sample Use Cases

Goal: Equip learners with enough understanding to confidently use and critically evaluate AI tools. Level: Basic Target Audience: Students, professionals, and community members with no prior AI background Topics:         Asynchronous A Brief History of AI What is AI and Its Many Branches How Machines Learn (basic ML concepts) Generative AI & LLMs Ethical and Responsible AI Use Synchronous     6. Fundamentals of Prompt Engineering     7. Context Engineering     8. Foundational Models and Tools     9. Sample Use Cases