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Wednesday, May 22, 2024
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5/29
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Blended Teaching: Designing Meaningful Content Connections
- Location: Online
- Contact: CITS Instructional Development
- Description: An engaging two-week, fully online certification course that introduces faculty to current research and best practices for blended teaching and learning. Using their discipline-specific course materials for activities, faculty will work independently, and collaboratively with peers from across campus, and with Instructional Designers to design and build one unit of blended instruction that can be incorporated into their course(s), to enhance student engagement and meaningful content connections. This unit of instruction will meet the Quality Blended Course Review Rubric criteria and be a model that faculty can reference and replicate as they continue to develop their upcoming blended course(s) on a myCourses site.
- Topical Areas: Training, Workshop, audience: Faculty
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| All Day |
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Wait List Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Wait List ends for the Maymester session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE Maymester 3-week session
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| All Day |
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Add/Drop Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Add/Drop period for 100% refund ends for the Maymester session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE Maymester 3-week session
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| All Day |
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Wait List Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Wait List ends for the 6-week session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE 6-week session
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| All Day |
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Wait List Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Wait List ends for the 8-week session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE 8-week session
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| All Day |
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Add/Drop Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Add/Drop period for 100% refund ends for the 8-week session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE 8-week session
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| All Day |
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Add/Drop Ends
- Location: Online
- Contact: Online & Continuing Education
- Description: Summer 2024 Add/Drop period for 100% refund ends for the 6-week session.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Summer, OCE 6-week session
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10:00 AM
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12:00 PM
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ELEE Research Component of PhD Qualifier Exam by Muhammad Mudassir Jawaid-ECE Department
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: COMPARING THE ROBUSTNESS TO PARAMETER MISMATCH OF INFOTAXIS AND MAP SEARCH STRATEGIES
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/99998476640
Meeting ID: 999 9847 6640 Passcode: 688944
Abstract:
Conventional target search algorithms can be categorized as either exploratory or exploitative. Exploratory methods prioritize comprehensive space exploration without incorporating acquired information. These approaches are well suited for high-clutter environments where individual detections hold low confidence. In contrast, exploitative algorithms heavily rely on existing data to refine their search. They excel in low-clutter scenarios where detections possess high fidelity. This thesis delves into a comparative robustness analysis of the performance between exploitative search strategies, specifically Maximum A Posteriori (MAP), and an advanced search strategy known as Infotaxis, which integrates both exploration and exploitation strategies. For this purpose, our focuses on assessing the robustness of MAP and Infotaxis under conditions of parametric mismatch during the Bayesian update and measurement processes. Parametric mismatch refers to the error conditions when the true probability of detection (PD) and probability of false alarm (PFA) utilized in the measurement function deviates from the model assumed estimated probability of detection (PD) and estimated probability of false alarm (PFA) in the Bayesian update function (BUF). Parametric mismatch conditions arise due to incorrectly calibrated computational models, impacting system accuracy and reliability. Numerical simulations consisting of 1000 Monte Carlo trials demonstrate that Infotaxis outperform MAP. These simulations conducted under varying search area size illustrate the superior efficacy of Infotaxis in comparison to MAP, showcasing its robustness and effectiveness in target search.
Advisor:
Dr. John R. Buck, Chancellor Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Ana Doblas, Assistant Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth;
Dr. Paul J. Gendron, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
*For further information, please contact Dr. John R. Buck via email at jbuck@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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2:00 PM
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3:00 PM
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Qualtrics Branching
- Location: > See description for location
- Cost: Free!
- Contact: CITS Instructional Development
- Description: This is an intermediate Qualtrics workshop that explores different means of skipping or repeating questions in a survey. Topics covered include skip logic, display logic, blocks and block branching, as well as loop and merge. Previous survey experience equivalent to the Getting Started with Qualtrics workshop is required.
This workshop will take place via Zoom teleconference. The Zoom meeting link will be sent to registered participants via email the morning of the workshop. For more information about Zoom, visit http://instructionaldev.umassd.edu/zoom .
For more information about this workshop, contact Rich Legault at 508-999-8799 or email rlegault@umassd.edu.
- Topical Areas: Training, Workshop, audience: Everyone, Faculty Development
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