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Diversity, Equity, and Inclusion

In Partnership with Istituto Lorenzo de' Medici

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Partnered with Istituto Lorenzo de' Medici for the past three decades, Marist offers several bachelor degrees, a master’s degree program, a one-year, study-abroad First-Year Florence Experience (FFE), traditional semester study abroad for Marist juniors and seniors, and the Pre-College program for rising high school juniors and seniors.

Marist University and Istituto Lorenzo de' Medici share a similar vision and mission in their approaches to education. These core values, of excellence in education, the importance of community, and the principle of service, are the foundation for this unique partnership.

Istituto Lorenzo de' Medici is authorized by the Ministry of Public Education in Italy, in addition to being an accredited member of many European and international educational organizations. LdM holds private agreements with all major Florence museums for student access to exclusive sites, artworks, and other events with additional campuses in Rome, Tuscania, and Venice.

Marist-Italy is an official branch campus recognized by Marist University’s accrediting body the Middle States Commission on Higher Education.  The degrees offered by Marist-Italy are U.S. University Degrees granted with all the same rights and privileges as those issued at the Marist Main Campus.

Marist University’s Mission

Marist is dedicated to helping students develop the intellect and character required for enlightened, ethical, and productive lives in the global community of the 21st century.

Istituto Lorenzo de' Medici’s mission

Istituto Lorenzo de' Medici is committed to providing a high quality education that enables students to realize their own potential, develop and apply their creativity, and interact successfully with the community worldwide.

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Marist allows me the freedom to explore a range of interests without being pigeonholed, and that’s been a big part of my personal and academic growth here.

 

 

 

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Brian Gormanly

Senior Professional Lecturer of Computer Science
Computing Technology Department, School of Computer Science and Mathematics

In our capping courses students are investigating using AI models to aid in the discovery of supporting literature for academic and scientific research. Our system aims to not only recommend suitable literature but also evaluate its relevance to the existing work, providing the user with clear reasoning behind the suggestion. If viable, we intend to integrate this technology as a real-time literature recommendation system for our open-source editor called Agora. In this work, we focus on overcoming hallucinations and ensuring suggestions are not misleading or fabricated. While initial findings using zero-shot prompting techniques yielded very little, we found using few-shot prompt engineering we could achieve truthful and useful inference from the system.

In other classes, we explore the limitations and benefits of using generative AI for increasing productivity while programming. We highlight how beneficial the tool is for debugging assistance and generating “boiler-plate” portions of code, and how effective it can be at suggesting particular algorithms to solve use-case requirements. We also reinforce the dangers of relying on the tool too early in students' development through example and experimentation.

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