Teacher Education Community Hours
Wednesday, November 20, 2024 3:30–5:30 PM
- DescriptionJoin the Office of Teacher Education for a collective version of office hours. Meet program directors and staff, ask questions, offer feedback, do homework, hang out, eat FREE food, and build community in the Neag School.
- Websitehttps://events.uconn.edu/neag-school-of-education/event/201358-teacher-education-community-hours
- CategoriesAcademic Support, Student Activities
More from Master Calendar
- Nov 204:00 PMAmerican Dreams? An Encounters DialogueAMERICA AND IMMIGRATIONThe topic of Immigration dominated this year's elections. According to a Pew Research study, 61% of voters identified the issue of immigration as a top concern more than in years past. As the Brooking Institute explains, the United States is fundamentally built upon the contributions of immigrants. No other country in the world hosts as extensive an immigrant population as America. With the notable exception of individuals descended from Indigenous peoples and enslaved Africans, the majority of the population can trace some aspect of their lineage to immigrants, whether from recent arrivals or those who came centuries ago. Despite being a nation predominantly composed of immigrants and their descendants, citizenship remains elusive for some, and one of the most contentious social and political challenges of contemporary society. The ongoing debates surrounding who is permitted to enter the country, who is eligible to work, who can establish a family, and who can attain American citizenship continue to profoundly influence our political landscape.We invite you to participate in a structured conversation exploring the historical backdrop of U.S. immigration policies, the economic ramifications of immigration, and the personal narratives of individuals who are building their lives in a new country and making a home away from home. Encounters programs dive deep into subjects through facilitated, small-group dialogues followed by a question-and-answer style conversation with our UConn faculty and community partners. This event is hosted by the Democracy & Dialogues Initiative (https://humanrights.uconn.edu/areas-of-focus/democracy-dialogues/) and co-sponsored by the Connecticut Collaborative on Poverty, Criminal Justice, and Race (https://www.ctcollaborativeinfo.org/)This event is FREE and open to the public with dinner provided.
- Nov 204:00 PMGroup Fitness Class – 50/50For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Nov 204:00 PMGroup Fitness Class – BarreFor the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Nov 204:00 PMGroup Fitness Class – Spin (45)For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).
- Nov 204:00 PMHartford Workshop: Notetaking for Success
- Nov 204:00 PMStatistics Colloquium: Tumulesh Solanky, University of New Orleans, Distinguished Alumni AwardSome issues related to implementation and generalization of the partition problem formulations for normal populations Presented by Tumulesh Solanky, Chair and Professor, Department of Mathematics, The University of Louisiana System Foundation and Michael and Judith Russel Professor in Data Science/Computational Sciences, University of New OrleansWednesday, November 20, 2024, 4:00 PM, AUST 202 Coffee will be served at 3:30 pm in the Noether Lounge (AUST 326)Webex Meeting Link (https://uconn-cmr.webex.com/uconn-cmr/j.php?MTID=m5f080e0cca019d81183d412aec1dcc5b)Abstract: In the area of selection and ranking, partitioning of treatments by comparing them to a control treatment is an important statistical problem. For over eighty years this problem has been investigated by a number of researchers via various statistical designs to specify the partitioning criteria and optimal strategies for data collection. We have studied various aspects of several key formulation available in literature from a practitioner's point of view. The focus of the presentation would be on the design proposed in Tong (1969) which had utilized Bechhofer's (1954) indifference-zone concept to partition treatments with respect to the control population. This formulation, had united a number of other formulations available in the statistical literature, and has since seen considerable interest from researchers. Focusing on the versatility of the Tong's formulation and its applications, a generalization of the Tong's formulation is presented to partition the treatments in the indifference zone as a separate identifiable group without altering basic idea of indifference zone. It is shown that the Tong's formulation is a limiting case of the proposed generalized formulation. For the proposed generalization, a purely sequential procedure and a two-stage procedures are presented along with their theoretical properties. An example is provided to illustrate the proposed generalization and several other procedures available in the literature.Bio: Tumulesh Solanky is a professor and chair of mathematics at the University of New Orleans (UNO), where he has been teaching for over three decades. For the past 16 years, he has also served as the department chair. Additionally, he holds the Michael and Judith Russell Professorship in Data/Computational Sciences. Throughout his career, Dr. Solanky has secured several hundred thousand dollars in sponsored research and has contributed extensively to academic literature, publishing books, book-chapters, and journal articles. Apart from his research and teaching, Dr. Solanky has served on various university committees and professional organizations. In recognition of his exceptional teaching and service, he received the Seraphia D. Leyda University Teaching Fellow Award in 2009 and the Cooper Mackin Medallion in 2018, the latter awarded to a faculty or staff member for outstanding contributions in support of the University's mission.