| Your selection returns no results. |
|
Friday, April 7, 2023
|
|
«
3/22
-
4/19
»
|
-
CANCELLED:
Online Teaching and Learning Strategies
- Location: Online
- Contact: CITS Instructional Development
- Description: A rigorous four-week, fully online certification course that introduces faculty to the current research and best practices for online teaching and learning. Using their own discipline-specific course materials for activities, faculty will work independently, collaboratively with peers from across campus, and with Instructional Designers to design and build one unit of online instruction in a myCourses site. This unit will meet the Quality Online Course Review Rubric criteria and be a model that faculty can reference and replicate as they continue to develop their upcoming fully online course(s).
- Topical Areas: Training, Workshop, audience: Faculty
|
|
3:00 PM
-
5:00 PM
|
-
Cookies, Condoms and Contraception with Planned Parenthood
- Location: Center for Women, Gender & Sexuality
- Cost: N/A
- Contact: Center for Women, Gender & Sexuality
- Description: Shannon Morrell, a representative of the Planned Parenthood League of Massachusetts, will join us in the Center for Women, Gender & Sexuality (located in room 207 of the Campus Center) to talk and answer questions about contraception, etc.
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Student Organizations, Student Affairs
|
|
3:00 PM
-
4:00 PM
|
-
Financial Aid FAFSA Help Labs LARTS 202
- Location: > See description for location
- Contact: > See Description for contact information
- Description: Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in LARTS 202 on Wednesdays and Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid.
Contact Mark Yanni
myanni@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
|
|
«
4/5
-
5/3
»
|
-
Your Action is Needed - GIC Annual Enrollment
- Location: UMass Dartmouth
, 285 Old Westport Road, Dartmouth, MA
- Contact: Benefits
- Description: The GIC has announced major changes to the benefits offered such as:
-Tufts Navigator and Tufts Spirit will discontinue. If you do not select a new health plan by the close of business on May 3, you will be defaulted into a similar plan and you will not be able to make any changes until next year's open enrollment.
-Two new plans are replacing the UniCare Basic plan
-Some health plan options will change based on your place of residence
-National Plan has changed from UniCare Basic to Harvard Pilgrim Access America
-Other changes such as increased premiums, co-payments, new prescription provider, and new flex spending provider.
Your action is needed prior to May 3 to ensure coverage continues to meet your needs.
We strongly encourage you to attend one of the 2 remaining information sessions:
-April 14th via Zoom from 10am - 11am. Registration is required, please register at: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA
-April 20th at Main Auditorium from 2pm - 3pm. No registration is required
- Link: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA
- Topical Areas: Faculty, Staff and Administrators, Human Resources
|
|
10:00 AM
-
11:15 AM
|
-
Joint Seminar of Accounting and Finance Department and Center for Scientific Computing and Data Science Research
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The Accounting and Finance Department and Center for Scientific Computing and Data Science Research announce the following research joint seminar.
Speaker: Assistant Professor. Qing Yan (Towson University)
Title: Hedge Fund Performance Prediction with Machine Learning
Date: Friday, April 7, 2023
Time: 10:00-11:15 AM
Location: via Zoom Meeting
https://umassd.zoom.us/j/4387551509?pwd=bVB2QzdtRmFCdkk1WTVQSUxHMS9iQT09
Meeting ID: 438 755 1509
Abstract: We use machine learning to dynamically identify and optimally combine the predictors of hedge fund performance. The portfolio formed based on the machine learning models has an out-of-sample alpha of 7.8% per year. The importance of each predictor varies over time, but among the 22 predictors we consider, the consistently important predictors are average return, maximum return, alpha, systematic risk, and beta activity. Machine learning provides valuable, unique information about future hedge fund performance that is not captured by individual predictors.
For additional information, please contact Prof. Hongkang Xu at hxu5@umassd.edu or Prof. Scott Field at sfield@umassd.edu.
- Topical Areas: Faculty, Students, Accounting and Finance, _Charlton College of Business, Mathematics
|
|
10:30 AM
-
12:00 PM
|
-
Inquiring on Budgets and Running PeopleSoft Financial Reports
- Location: Online
- Contact: Jean Schlesinger
- Description: Learn how to run PeopleSoft Financial Reports GL7045 Revenue and Expense, GM7047 Rev and Expense Projects, GL7062 Transaction Detail Report and GL7079 open Encumbrance Report and look up your budget. Watch Accounting 101 Video prior to the event.
Zoom Link and prerequisite video/handout will be sent upon registration.
- Link: https://my.umassd.edu/group/procurement-videos
- Topical Areas: audience: Staff, audience: Faculty, Training
|
|
10:00 AM
-
11:15 AM
|
-
Accounting and Finance Department Research Seminar
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The Accounting and Finance Department announces the following research seminar.
Speaker: Assistant Professor. Qing Yan (Towson University)
Title: Hedge Fund Performance Prediction with Machine Learning
Date: Friday, April 7, 2023
Time: 10:00-11:15 AM
Location: via Zoom Meeting
https://umassd.zoom.us/j/4387551509?pwd=bVB2QzdtRmFCdkk1WTVQSUxHMS9iQT09
Meeting ID: 438 755 1509
Abstract: We use machine learning to dynamically identify and optimally combine the predictors of hedge fund performance. The portfolio formed based on the machine learning models has an out-of-sample alpha of 7.8% per year. The importance of each predictor varies over time, but among the 22 predictors we consider, the consistently important predictors are average return, maximum return, alpha, systematic risk, and beta activity. Machine learning provides valuable, unique information about future hedge fund performance that is not captured by individual predictors.
For additional information, please contact Prof. Hongkang Xu at hxu5@umassd.edu.
- Topical Areas: Faculty, General Public, Staff and Administrators, Accounting and Finance, _Charlton College of Business
|
|
2:00 PM
-
3:00 PM
|
-
Virtual Drop-in Study Abroad Advising
- Location: > See description for location
- Contact: International Programs Office
- Description: Have a quick question about study abroad? Would you like to start planning your study abroad experience? Meet us over zoom with your questions! Students will be seen on a first-come, first-served basis. Please email intl_programs@umassd.edu for zoom link.
- Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
|
