Events

UMassD Drone Club, Sponsored by ECE

UMassD Drone Club Kickoff Meeting December 3,2021 4:30PM Library 205 JOIN US Presentation & Demonstration of Racing Drones by UMD Alum, Mr. James Mohler Join the Club, Learn how to fly a Drone, Race on a Simulator. All majors and class levels are welcome. It's never too early or late to join a club! Pizza and Soft Drinks will be provided. Sponsored by The Department of Electrical & Computer Engineering *For further information, please contact Dr. Dayalan Kasilingam via email at dkasilingam@umassd.edu.

MONDAY NIGHT CLASS - Meditation Discussion

Are you a meditator or curious about meditation? Have questions or experiences to discuss? Want to hear about other people's experiences? MONDAY NIGHT CLASS may be for you! ALL FORMS of yoga, meditation, mindfulness and contemplative practice can provide serious health benefits. Regular practice is needed but can be difficult without a support group. MONDAY NIGHT CLASS is a WEEKLY ONLINE SALON-style meeting for discussion of contemplative practice. It's free and open to all. The "SALON" concept refers to people gathering for lively informal conversation, often on literary and philosophical topics. BEGINNING September 27, we'll meet ONLINE every Monday, from 7:00-8:30pm For info contact Jerry Solfvin, PhD, at JSOLFVIN@UMASSD.EDU FREE & OPEN TO ALL. Register in advance at: https://umassd.zoom.us/meeting/register/tJUpc-muqTsiHdHYkvFounmHQy86Xtxpsykk

Last day of Fall classes

Fall classes end today.

Women In Engineering Hovercraft Workshop & Competition

Participants in the halls are invited to create a hovercraft with a team over the course of the Fall Semester with the Women In Engineering Peer Mentor for 2021-2022, McKenzie Ferarri, on scheduled Wednesday evenings from 7:00 to 9:00 PM in room 130 of Spruce Hall. See posters on how to scan and sign up. For more information contact McKenzie Ferarri at mferrari@umassd.edu *Enter Spruce Hall through the main entrance facing Parking Lot 8. Please remember to keep your face covering on at all times you are inside a building. Wednesdays 7-9 PM Dec 8th

Study Day

Today is Study Day.

Moonlight Breakfast

Moonlight Breakfast is back! Take a break from studying and join us at The Grove for a late night breakfast. First seating is from 10:00-11:00pm and second seating is from 11:00pm-12:00am.

Final exams begin

Examinations begin today.

Honors College Info Session

Join us in learning more about the Honors College on campus.

MONDAY NIGHT CLASS - Meditation Discussion

Are you a meditator or curious about meditation? Have questions or experiences to discuss? Want to hear about other people's experiences? MONDAY NIGHT CLASS may be for you! ALL FORMS of yoga, meditation, mindfulness and contemplative practice can provide serious health benefits. Regular practice is needed but can be difficult without a support group. MONDAY NIGHT CLASS is a WEEKLY ONLINE SALON-style meeting for discussion of contemplative practice. It's free and open to all. The "SALON" concept refers to people gathering for lively informal conversation, often on literary and philosophical topics. BEGINNING September 27, we'll meet ONLINE every Monday, from 7:00-8:30pm For info contact Jerry Solfvin, PhD, at JSOLFVIN@UMASSD.EDU FREE & OPEN TO ALL. Register in advance at: https://umassd.zoom.us/meeting/register/tJUpc-muqTsiHdHYkvFounmHQy86Xtxpsykk

EAS PhD Proposal Defense Presentation by Christopher J. Hixenbaugh

EAS PhD Proposal Defense Presentation by Christopher J. Hixenbaugh Date: December 14, 2021 Time: 2:00 p.m. Topic: A Model-Free Deep Reinforcement Learning Approach to UUV Control with Mixed Numerical Precision Zoom Teleconference: For meeting access please contact Anne-Marie Bedard at abedard1@umassd.edu. Abstract: Control systems for Unmanned Undersea Vehicles (UUVs) are typically implemented using Proportional Integral Derivative (PID) control systems. PID control systems for UUVs are resource-intensive to tune because they require several engineers, marine operators, and ship crew to spend time offshore to tune the controller. Furthermore, PID controllers rely on complex dynamic system models that contain assumptions to reduce the computational complexity of the models but degrade the controller's performance if an environmental condition is encountered that conflicts with an assumption. In this study, a Deep Reinforcement Learning control system based on the Deep Deterministic Policy Gradient (DDPG) algorithm is studied for a UUV control system. The DDPG algorithm is model-free, meaning that a complex dynamic system model is not needed to learn and provide optimal control performance. Secondly, Deep Reinforcement Learning control systems are tuned autonomously, which can greatly reduce the resources needed for controller tuning. One drawback to Deep Reinforcement Learning is that it can be more computationally and resource-intensive than is acceptable for some situations. To improve upon this, this study will investigate how mixed floating-point precision with loss scaling can be used to reduce the time and computational resources needed to train the DDPG agent. ADVISOR(S): Dr. Alfa Heryudono, Department of Mathematics (aheryudono@umassd.edu, 508-999-8516) COMMITTEE MEMBERS: Dr. Scott Field, Department of Mathematics Dr. Firas Khatib, Department of Computer and Information Science Dr. Ming Shao, Department of Computer and Information Science Dr. Eugene Chabot, Naval Undersea Warfare Center Division Newport NOTE: All EAS Students are ENCOURAGED to attend.

Athletics Drop in Q&A Session

Come join our coaches to learn more about our Varsity sports and intramural offerings, a chance to get all your questions answered.

Financial Aid drop in Q and A session

Come get all your financial aid questions answered with a Financial Aid Representative and an Admissions counselor. Topics range from filing FAFSA to scholarships and general admissions questions.