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Senior marketing management class helps NB100! small businesses develop brand identity and create strategic marketing plan
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News & Public InformationThe new program in Ocean Observing, Modeling, and Management of Offshore Wind will begin enrolling students in spring 2025
David Campos Anchieta recently received the award for a paper he presented at the ASA meeting in Sydney, Australia
Students, faculty, alumni, and friends of UMass Dartmouth convened in the Marketplace on campus to honor five Corsairs for their outstanding professional and community contributions.
Greater Fall River Development Corporation Scholarship will support Fall River area students while at UMass Dartmouth
Senior marketing management class helps NB100! small businesses develop brand identity and create strategic marketing plan
Awards were given for Outstanding Scholarship by Graduate and Undergraduate students and Outstanding Mentorship by Faculty on Scholarship
Justice Geraldine Hines, Martin Kurzweil, and Steve Pemberton to be honored during 2024 Commencement Ceremony
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Event CalendarItalian Studies invites you to enjoy a year of Spaghetti Westerns. Starting in the 1960s Italian directors began to apply their own artistic approach and their own political and social concerns to the old-fashioned western genre. The result? Some of the most artistically exciting movies of the 1960s and 1970s. All films will be screened in LARTS-111 at 7:00. For questions write msneider@umassd.edu.
Dashanna Hanlon will share her perspective as a Black Doula on Reproductive Rights and Advocacy in Action. Come find out about career pathways in birthing justice, what does a birth Doula do? She will discuss her role in fighting the black maternal mortality health epidemic in the United States. Light Refreshments will be served. Bring your friends! Sponsored by Women's and Gender Studies and Health & Society. Room CCB 340
Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in LARTS 203 on Wednesdays and Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid. Contact Mark Yanni myanni@umassd.edu
Observatory Open House For updates on weather conditions please refer to www.assne.org
Mechanical Engineering (MNE) Senior Design (Capstone) Presentations April 30, 2024 9:00 a.m. - 4:30 p.m. (Poster and prototype preview begins at 8:00 a.m.) Woodland Commons The Mechanical Engineering Department is proud to share this highly anticipated event with students, faculty, staff, family, friends, and any other interested guests! This is a culmination of the Class of 2024's Senior year team project with industry, or UMD research faculty. Attend all day, or come and go as your schedule allows. For more information please contact Dr. Hamed Samandari/Instructor (hsamandari@umassd.edu) or Sue Cunha/Administrative Assistant (scunha@umassd.edu).
Topic: Multi-phase Algorithm Design for Accurate and Efficient Model Fitting Location: Claire T. Carney Library (LIB), Room 314 Zoom Conference Link: https://umassd.zoom.us/j/98963429286 Meeting ID: 989 6342 9286 Passcode: 283650 Abstract: Recent research applies soft computing techniques to fit software reliability growth models. However, runtime performance and the distribution of the distance from an optimal solution over multiple runs must be explicitly considered to justify the practical utility of these approaches, promote comparison, and support reproducible research. This paper presents a meta-optimization framework to design multi-phase algorithms for this purpose. The approach combines initial parameter estimation techniques from statistical algorithms, the global search properties of soft computing, and the rapid convergence of numerical methods. Designs that exhibit the best balance between runtime performance and accuracy are identified. The approach is illustrated through nonhomogeneous Poisson process and covariate software reliability growth models, including a cross-validation step on data sets not used to identify designs. The results indicate the nonhomogeneous Poisson process model considered is too simple to benefit from soft computing because it incurs additional runtime with no increase in accuracy attained. However, a multi-phase design for the covariate software reliability growth model consisting of the bat algorithm followed by a numerical method achieves better performance and converges consistently, compared to a numerical method only. The implementation of a framework-designed algorithm into a software reliability tool is demonstrated. The proposed approach also supports higher-dimensional covariate software reliability growth model fitting suitable for implementation in further tools. Co-Advisor(s): Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Ruolin Zhou, 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. Lance Fiondella via email at lfiondella@umassd.edu