Master Calendar

Starting in the upcoming Fall 2025 academic term, all academic courses will use the new Ultra Course View (UCV) of HuskyCT. This workshop will provide an overview of UCV and we will cover creating & organizing content, copying content from previous semesters, communicating with students, assessment tools, basics of the Gradebook, and other useful features.August 26, 11:00-12:00 Presenter: Jordan Vinikoor Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3551 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3551)

The meeting will explain what NDRS is, what we look to achieve, the resource we are for students, and the events that we put on. In addition, the meeting will heavily focus on the Annual Fall Intramural Negotiation Competition (AFINC) that will be hosted two weeks after the meeting.

All faculty and staff who are teaching any course that involves writing are invited to join us. This orientation is required for all graduate students who intend to teach or assist with a W course or lab. Register for this session here: https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3461 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3461)

In this session, you will learn to set up and manage your Gradebook to accurately record and calculate student grades in the new Ultra Course View of HuskyCT. We will cover specific settings and features such as the different types of calculations, using categories, and working with the different Gradebook views that are available to instructors. We will also cover how to send a grade column to Student Admin for midterm and final grade submission. Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3562 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3562)

Interested in joining a fraternity or sorority? Come meet members from all the fraternities and sororities on campus! 

Registration Required https://cetl.uconn.edu/programs-and-events/new-ta-orientation-programs-and-services/

Required orientation for foundation year students in the Stamford and Online Program. This orientation is virtual; the Practicum Education Office will email the invite to students.

The exhibiting artists are Marsha Borden, Helena Chastel, Kathryn Frund, Phoebe Godfrey, Hugh MacDonald, Bob Pavlik, Dan Potter, and R. Douglass Rice. Open Air 2025 is open daily and will remain on view through October 6, 2025. June 19, 2025 iis the last day to visit indoor art exhibitions. Exhibitions inside the AVS Gallery will resume on September 11, 2025

The UConn Claude D. Pepper Older Americans Independence Center (i.e., UConn Pepper Center), plans to submit an application for competitive renewal to the National Institute on Aging at NIH. At this time, the UConn Pepper Center Pilot/Exploratory Studies Core (PESC) seeks letters of intent (LOIs) for studies to be included in the application. Studies selected for inclusion in the application will be funded contingent upon continued funding of the UConn Pepper Center. We are seeking Letters of Intent (LOIs) for 1-year pilot and exploratory studies that focus on enhancing function and independence in older adults while also advancing knowledge in the UConn Pepper Center theme of Precision Gerontology, and that will support future grant applications. We welcome a variety of research approaches, ranging from biological to clinical/behavioral to health services/community-based research. Projects focusing on cognition and behavior, host defense and immunity, voiding and continence, and mobility and falls are of particular interest. For proposed studies involving human subjects research, secondary data analysis-based projects are encouraged. Projects involving primary data collection are allowed but must be sufficiently feasible to complete within 1 year. LOIs are due by September 10, 2025 Full-time UConn and JAX faculty are eligible to apply for PESC funding. Priority will be given to junior faculty/early-stage investigators as well as established investigators pursuing aging-related research (relevant to Precision Gerontology) as a new area of research. Investigators may request up to $50,000 (direct costs) for a 1-year pilot project. Those interested in submitting an LOI are strongly encouraged to contact the PESC Co-Leaders Dr. Lisa Barry (libarry@uchc.edu) Dr. Blanka Rogina (rogina@uchc.edu) and to visit the UConn Pepper Center website to learn more about the theme of Precision Gerontology and the UConn Pepper Center Research Resource Cores. https://health.uconn.edu/pepper-center/ Those seeking to apply for UConn PESC funding must submit the following by September 10, 2025: 1. A 1-page Letter of Intent (LOI) that includes:Brief description of the Specific Aims, Significance, and Approach; Statement as to how the proposed study aligns with the UConn Pepper Center theme of Precision Gerontology; Statement of how the proposed study will utilize applicable UConn Pepper Center Research Resource Cores. 2. On a separate page, a brief budget and timeline 3. NIH Biosketch for Principal Investigator. Please send LOIs to Ms. Laura Masi (masi@uchc.edu) Individuals selected to submit full proposals will be notified by the PESC Co-Leaders.

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

Dissertation Title: Effects of Collagen Peptide Supplementation on Bone Metabolism, Inflammation, and Recovery in Female Endurance Runners Doctoral Field: Nutritional Sciences

Abstract:Multivariate time series (MTS) analysis is critical for modeling complex temporal systems in many range of real-world domains, including finance, healthcare, and climate science. However, the high dimensionality, evolving dependencies, and non-stationary dynamics of MTS data pose significant challenges for building robust and generalizable forecasting models. Traditional statistical and deep learning methods for time series forecasting have largely focused on modeling temporal signals, often overlooking the knowledge that could improve model forecasting accuracy and adaptability. To bridge this gap, we propose knowledge informed time series analysis.The first work explores the external structural knowledge that captures the inter-variable relationships for continual multivariate time series forecasting. In dynamic temporal systems where the inter-variate dependencies shift as new regimes emerge, our method effectively guides the model to identify and leverage structural knowledge for time series forecasting. By selectively replaying informative samples from the learned representation space, the model memorizes previously learned knowledge, maintaining strong forecasting performance across both past and newly encountered regimes. Recent efforts have explored the use of large language models (LLMs) for time series forecasting, in our second approach, we leverage the semantic knowledge embedded in their pre-trained spaces for time series forecasting via a cross-modal prompt learning framework. Our approach first tokenizes decomposed time series components into semantically meaningful patches, creating embeddings aligned with LLM token spaces. We then select semantic anchors and align them with time series embeddings by maximizing their cosine similarity in a shared representation space. These aligned anchors serve as dynamic prompts, conditioning the model to better handle diverse temporal patterns. Through extensive experiments on benchmark datasets, we show that our framework not only surpasses state-of-the-art baselines but also have the improved interpretability.Beyond the current exploration of structural and semantic knowledge in multivariate time series, we aim to further investigate RAG enhanced time series foundation models and cross-modal knowledge integration to advance time series analysis.

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

This sesion will cover options for creating and arranging materials in your HuskyCT Ultra Course View course in ways that minimize confusion for students. We will discuss various organizational strategies, such as how to develop a straightforward Course Content page, the different types of content options, using Learning Modules and Folders for organization, as well as controlling the visibility of content to students. We will also cover options for adding multimedia elements to your course such as Kaltura videos, as well integrating third-party platforms, aka LTIs.August 27, 11:00-12:00 Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3561 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3561)

The fair takes place from 11:00 a.m. to 2:00 p.m.

Identify common components of games; •Discover the power of games as a tool for learning (and more); •Differentiate the steps of game creation; •Assess the applicability of games to your contexts; •Gather resources for designing/implementing your own games Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3564 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3564)

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

GI Grand Rounds conferences take place weekly on Wednesdays at noon via Webex. Please contact Amy Pallotti to be added to detailed conference announcement emails.