100% of proceeds support nonprofits helping veterans and first responders with treatment-resistant mental health, while also expanding education and peer support access for all.

FREE Post Race activities: Pilates at 10:30 AM & Yoga at 12PM

How to register to compete for the 5k (Race starts at 8:30 AM)

$5 for FIU students with valid Panther ID

Are you in the honors college and need volunteer hours?

Sign up here:https://www.givepulse.com/event/550655-Shatter-the-Stigma-5k-RunWalk-for-Psychedelics

Join us Sunday, February 23, 2025, for the 1st Shatter the Stigma 5K Run/Walk as we recognize the promising potential of psychedelics for mental health treatment and beyond. Especially for Veterans & First Responders struggling with hard to treat mental health. According to recent RAND report 8 million Americans took psychedelics in the past year. This is 2.5 million more users than 2019 estimates of 5.5 million users. As new research comes out and public perception shifts, more and more people will use psychedelics. We will run/walk to raise awareness and reduce harm and stigma reduction through education and resources in this quickly growing area of treatment.

On the morning of Sunday, February 23rd runners and walkers of all abilities, advocates, and affected individuals will come together on the beautiful grass area at Florida International University, Graham Center Lawns. Money raised will support local charity Heal Our Heroes Foundation, a non-profit focused on bringing affordable alternative treatments to veterans and first-responders. In addition, two other well respected charities - Zendo Project and Fireside Project -  that focus on helping the general public, including our Veterans & First reponders, to ensure that they have the tools to navigate psychedelics so we can live, grow, and be healthy together.

Learn more about the initiative and sign up at fiusps.com/charity-run 

Overview:
This course introduces students to AI and data science fundamentals, including machine learning, data preprocessing, and deep learning. Students work on real-world applications and complete a final showcase project.

Topics by Week:

1. Introduction to AI and Data Science – Overview of ML, data types, and applications.
2. Machine Learning Fundamentals – Model training, fitting, and evaluation.
3. Exploratory Data Analysis (EDA) – Data cleaning and visualization techniques.
4. Classification – Implementing K-Nearest Neighbors.
5. Regression – Linear regression and model complexity.
6. Clustering – K-means and hierarchical clustering.
7. Association – Apriori algorithm and rule discovery.
8. Outlier Detection – Z-Score, IQR, and clustering-based methods.
9. Deep Learning – Neural networks and CNN basics.

Workshop focused on increasing recognition and understanding of imposter syndrome, as well as learning tips and tricks to reduce the impact on daily life.

C9 | SWE Convos

Overview:
A unique, interactive series designed to bridge the gap between academia and industry. Each week, industry leaders from top tech companies share their career journeys, experiences, and insights into the transition from school to the workforce. Students gain invaluable exposure to real-world perspectives, learn about industry trends, and receive practical advice for building their careers. The open Q&A sessions encourage students to engage directly with professionals, fostering meaningful connections and personalized guidance.

Key Features:

• Weekly guest speakers from diverse roles and tech sectors.
• Discussions on career paths, challenges, and success stories.
• Insights into current industry demands and future trends.
• Opportunities to network and build professional relationships.
• Open Q&A for students to ask specific career-related questions.

By participating in SWE Convos, students will gain firsthand knowledge about the realities of the tech industry, prepare for their transition into professional roles, and expand their understanding of career development beyond technical skills.

C1: Crunch Convos (Python)

Overview:
An interactive course focusing on Python fundamentals and advanced data structures. Designed to prepare students for technical interviews, it emphasizes problem-solving, algorithms, and hands-on coding.

Units:

1. Python Fundamentals – Variables, functions, conditionals, and loops.
2. Linked Lists – Basic operations, runtime complexity, and problem-solving.
3. Strings and Arrays – Manipulations, two-pointer solutions, sliding windows.
4. Stacks and Queues – Implementation and common use cases.
5. Review – Linked lists, hashmaps, and mock interviews.
6. Binary Trees – Core concepts and recursive traversal implementations.
7. Binary Trees II – Search trees, DFS, BFS, and iterative traversal methods.
8. Graphs – Representations, BFS, DFS, and graph-related problems.
9. Dynamic Programming and Graphs Review – Advanced problem-solving and interview prep.

Final Review – Comprehensive review and skill polishing.

Workshop designed to help students learn skills of self-compassion to combat self-critique and increase ability to manage ability to manage stress, anxiety, sadness and other difficult emotions with self-kindness and love.

Open to All University Students – Join Us Online via Zoom or In Person for C10: Crunching Bioinformatics! 

This semester at CODE CRUNCH Florida International University —  C10: Crunching Bioinformatics

 Fridays, 3 PM - 4 PM | Weekly Spring 2025
Unlock the secrets of biological data with Python! ‍ This course introduces students to bioinformatics, covering:
 DNA/RNA Analysis
 Protein Structures
 Machine Learning Applications in Biology

Work on real-world projects and gain hands-on coding experience for biomedical engineering and healthcare innovation. No prior experience needed—Freshmen, graduates, and alumni from any university are welcome! 

 RSVP Now: lu.ma/codecrunch
More Info: CODECRUNCH.CS.FIU.EDU

Let’s innovate together! #CodeCrunch #CrunchingBioinformatics #PythonForBiology #DataScience #Bioinformatics #MachineLearning #HealthcareInnovation #FIUTechCommunity

Global Brigades as an organization want to engage and inform students to discuss upcoming initiatives, share updates, and strengthen community bonds. These meetings typically include an overview of the organization's mission, event announcements, opportunities for involvement, and details about upcoming brigade trips.

* Funded by SGA and Open to all Students*

Overview:
This course introduces students to AI and data science fundamentals, including machine learning, data preprocessing, and deep learning. Students work on real-world applications and complete a final showcase project.

Topics by Week:

1. Introduction to AI and Data Science – Overview of ML, data types, and applications.
2. Machine Learning Fundamentals – Model training, fitting, and evaluation.
3. Exploratory Data Analysis (EDA) – Data cleaning and visualization techniques.
4. Classification – Implementing K-Nearest Neighbors.
5. Regression – Linear regression and model complexity.
6. Clustering – K-means and hierarchical clustering.
7. Association – Apriori algorithm and rule discovery.
8. Outlier Detection – Z-Score, IQR, and clustering-based methods.
9. Deep Learning – Neural networks and CNN basics.

Workshop aimed to create a discussion for students surrounding external and internal factors that impact body image while providing healthy tips and tricks to increase one’s body acceptance.

Conflicts in relationships are common and are an important part as we get to know people and desire closeness. Workshop focused on learning skills for managing conflicts in relationships. Workshop will explore skills that are research-based and successful for addressing relationship conflicts.