Skip to content
You are using an unsupported browser. For best results please use the latest versions of Chrome, Edge, Firefox or Safari.

Connect+Learn: Second SIS Ask Us Session

Join Connect+Learn for the second SIS Ask Us session. These sessions are for administrative staff and faculty users of applications and processes managed by SIS. The Ask Us sessions are designed to address ‘How To’ pre-submitted questions related to system usage and functionality.

Connect+Learn: Monthly SIS training resources & support session

Join us on the first Thursday of each month for an informative Connect+Learn session on SIS Training Resources & Support, tailored primarily for new ROSI users. The Student Information Systems (SIS) group manages enterprise student and curriculum applications, and processes for the University.

Connect+Learn: Monthly SIS training resources & support session

Join us on the first Thursday of each month for an informative Connect+Learn session on SIS Training resources & support, tailored primarily for new ROSI users. The Student Information Systems (SIS) group manages enterprise student and curriculum applications, and processes for the University.

Connect+Learn: Count and registration cleanup

Join us for a Connect+Learn session on Count and Registration Cleanup. This session will guide staff in academic units through the process of interpreting the initial count procedures instructions from P&B.

Thursday@3: Exploring AI powered Assistants on the ITS Private Cloud

In this session we will explore how artificial intelligence is transforming access to information at EIS. Jose will outline EISgpt, a suite of advanced AI-powered assistants built using Meta Llama 3 and integrated with the Danswer AI Enterprise platform.

Thursday@3 – Bridging Gaps: The Role of Human in the Loop in Generative AI

In this session the critical role of human oversight in mitigating biases within Generative AI systems in the university context will be explored. Join our Acting CIO Donna Kidwell for a discussion of emergent strategies and real-world applications that ensure AI models are not only technically robust but also socially responsible.