-
OER and GenAI – October 23, 2024
Join us for an interactive online workshop where we will explore the challenges, contradictions, and opportunities at the intersection of Artificial Intelligence (AI) and Open Educational Resources (OER).
-
Generative AI: Its Implications and Opportunities, for Policy, Pedagogy and Practice within the Mathematical Sciences
Generative Artificial Intelligence (AI) describes algorithms, including ChatGPT, Google’s Gemini, and Microsoft’s Copilot, that can be used to create new content, including text, computer code, images, and audio. Whilst the technologies are themselves not new, recent advances in the field have led to a new era where the way in which we approach content creation is fundamentally changing at a rapid pace.
-
GenAI Maker Session: Developing Quizzes and Problem Sets with Generative AI – October 8, 2024
Explore practical strategies for creating engaging quizzes and problem sets using Generative AI. This online session will provide best practices for developing these materials, followed by hands-on time to craft your own in a supportive, collaborative environment.
-
GenAI Staff Community of Practice | September 26, 2024
Are you a UBC staff member from CTLT, LTHub, or involved in the teaching and learning space, such as instructional designers, educational developers, and faculty support. Are you curious about Generative AI or eager to share your experiences with these tools? We invite you to join CTLT’s monthly community of practice.
-
Generative AI Studios | September 4, 11, 18, 25 and 26
These sixty minute, weekly sessions – facilitated by Technologists and Pedagogy Experts from the CTLT – are designed for faculty and staff at UBC who are using, or thinking about using, Generative AI tools as part of their teaching, researching, or daily work.
-
UBC Certificate in Artificial Intelligence (AI) in Digital Media – Free Online Information Session | August 20
The UBC Certificate in AI in Digital Media is a part-time program teaching automation in creative projects and addressing AI bias, accountability, and transparency. Attend an info session to learn about the program.
-
Introduction to Machine Learning: Neural Networks | August 14
In this UBC Library workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems.
-
Introduction to Large Language Models (LLMs) | August 21
This UBC Library workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, and how to fine-tune a pre-trained LLM for your own data.
-
Generative AI Studios | July 31 & August 7, 14, 21, 28
These sixty minute, weekly sessions – facilitated by Technologists and Pedagogy Experts from the CTLT – are designed for faculty and staff at UBC who are using, or thinking about using, Generative AI tools as part of their teaching, researching, or daily work.
-
Introduction to Machine Learning: Classification and Clustering | August 7
This workshop offered by the UBC Library, explores machine learning models for clustering and classification, crucial for insights from large datasets.
-
Introduction to Large Language Models (LLMs) | July 24
This workshop from the UBC Library focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLMs.
-
Introduction to Machine Learning: Regression Models | July 31
This UBC Library workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts.
-
Introduction to Machine Learning: Neural Networks | July 17
A UBC library workshop on the fascinating world of neural networks, powerful models for solving complex and nonlinear problems.
-
Introduction to Machine Learning: Classification and Clustering | July 10
This workshop with the UBC Library explores machine learning models for clustering and classification, crucial for extracting insights from large datasets.
-
GenAI in Teaching and Learning 101 | August 14
The session by the CTLT covers large language models like ChatGPT and their teaching implications, with practical integration tips for education.