• Read more about Slide Smarter: Presentations with Order and Clarity that Reach Students

This 45-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded.

This workshop includes an informational overview, a hands-on practice portion, and Q&A.

The use of automated bots, AI assistants, or other meeting recording devices are prohibited without the prior approval of event coordinators.

-----------

• Read more about Slide Smarter: Presentations with Order and Clarity that Reach Students

This 45-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded.

This workshop includes an informational overview, a hands-on practice portion, and Q&A.

The use of automated bots, AI assistants, or other meeting recording devices are prohibited without the prior approval of event coordinators.

-----------

• Read more about Designing Data for Everyone: Accessible Tables and Charts that Tell a Story

This 60-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded. The use of automated bots, AI assistants, or other meeting recording devices is prohibited without the prior approval of event coordinators.

-----------

• Read more about Designing Data for Everyone: Accessible Tables and Charts that Tell a Story

This 60-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded. The use of automated bots, AI assistants, or other meeting recording devices is prohibited without the prior approval of event coordinators.

-----------

• Read more about Smart Links and Lists: Direct Students with Clear, Descriptive Text

This 45-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded. The use of automated bots, AI assistants, or other meeting recording devices is prohibited without the prior approval of event coordinators.

-----------

• Read more about Smart Links and Lists: Direct Students with Clear, Descriptive Text

This 45-minute session is reserved for ASU faculty, staff, and Teaching Assistants.

This workshop will be held online and will be partially recorded. The use of automated bots, AI assistants, or other meeting recording devices is prohibited without the prior approval of event coordinators.

-----------

• Read more about Health Talks — When Clinicians Become Family Caregivers

Becoming a caregiver for a family member is hard under the best of circumstances, but being a clinician and a caregiver can add a whole new layer of complication to the role. Sometimes their family members' health care teams welcome their input; sometimes they resent it. Their own family members may want them involved in care but not always.

• Read more about From Leader to Professional: Building Professional Skills for Barrett Student Leaders: Two-Part Webinar Series- Part 2: Career & Self-Development Pathways

Discover practical tools to prepare for internships, research opportunities, and professional experiences. Practice using the STAR method in mock interviews, learn to manage your email effectively, and gain access to career resources such as LinkedIn workshops and headshots. Student leaders will leave ready to model confidence, professionalism, and career readiness for their mentees and peers.

• Read more about From Leader to Professional: Building Professional Skills for Barrett Student Leaders: Two-Part Webinar Series- Part 1: Professional Communication & Presence

Learn strategies for developing a professional voice in emails, texts, and digital communication. Build confidence in conversations with mentees and peers, and explore personal branding tools such as LinkedIn QR codes, POPL cards, and professional nametags to strengthen your presence as a student leader.

• Read more about Python: Deep Learning

Introduces the capabilities of Python when applying modern algorithmic techniques for understanding a vast dataset. Makes use of the pandas module to filter data to train a Machine Learning model within Jupyter. GPU acceleration using Numba will also be demonstrated.