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- DSA Technical Session 6
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- 2024 ASEE Annual Conference & Exposition
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Emily Nutwell, The Ohio State University; Thomas Bihari, The Ohio State University; Thomas Metzger, The Ohio State University
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Data Science & Analytics Constituent Committee (DSA), Diversity
with little to noprior data science, computing, or math background. Courses use both synchronous andasynchronous delivery methods to maximize learner flexibility while providing opportunities toengage in real time with instructors and peers. All courses emphasize projects to provideopportunities for learners to apply courses concepts to real-world problems. A terminal 2-semester capstone course incorporates all three disciplines into a final culminating team project.This paper will focus on the conceptualization of the computer science (CS) portion of thecurriculum. As an applied master’s program, much of the CS curriculum takes inspiration fromindustry frameworks such as CRISP-DM and Agile project management to contextualizeconcepts. The
- Conference Session
- DSA Technical Session 7
- Collection
- 2024 ASEE Annual Conference & Exposition
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Tony Maricic, New York University Tandon School of Engineering; Nisha Ramanna, New York University Tandon School of Engineering; Alison Reed, New York University Tandon School of Engineering; Rui Li, New York University; Jack Yang, New York University Tandon School of Engineering
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Data Science & Analytics Constituent Committee (DSA)
Engineering in 2009 from the Imperial College of London and his doctoral degree in 2020 from the University of Georgia, College of Engineering.Jack Yang, New York University Tandon School of Engineering ©American Society for Engineering Education, 2024 An Interactive Platform for Team-based Learning Using Machine Learning ApproachAbstractThis complete evidence-based paper explores the feasibility of developing an interactiveplatform with chatbot feature to facilitate project-based learning. Teamwork pedagogy is widelyused in engineering courses, particularly in first year (cornerstone) and senior-year (capstone)design courses, but also across the curriculum. Faculty have several
- Conference Session
- DSA Technical Session 7
- Collection
- 2024 ASEE Annual Conference & Exposition
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Isil Anakok, Virginia Polytechnic Institute and State University; Kai Jun Chew, Embry-Riddle Aeronautical University, Daytona Beach; Holly M Matusovich, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University
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Data Science & Analytics Constituent Committee (DSA)
can be effectively andresponsibly integrated into different types of engineering courses.Regarding specific courses, we found that people teaching first-year courses reported GAI wasinfluencing thinking about assessment. This relatively high recognition might reflect thefoundational nature of these courses, where incorporating innovative technologies could play asignificant role in shaping early educational experiences. In contrast, Capstone Courses, oftenbeing the culmination of academic programs, showed a notable number of acknowledgments.This suggests that even in advanced stages of education, where comprehensive projects andpractical applications are prevalent, the potential of GAI to influence and enhance educationalpractices is widely
- Conference Session
- DSA Technical Session 5
- Collection
- 2024 ASEE Annual Conference & Exposition
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Duo Li, Shenyang Institute of Technology; Elizabeth Milonas, New York City College of Technology; Qiping Zhang, Long Island University
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Data Science & Analytics Constituent Committee (DSA)
Science in Capstone, Internship, Senior Project, physics, biology, chemistry, Context humanities 7 Math and Statistics Calculus, discrete structures, probability theory, elementary statistics, statistics, linear algebra.Step 3: Define Geographic Regions Table 4 below identifies the U.S. Geographical regions used in the earlier study [12], thestates in each region and the representative cities used in the Indeed search to acquire job data forthe present study. Table 4: Regions, States in Regions, and Representative Cities in Regions Regions States from which Degree Program Curriculum Data
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- DSA Technical Session 5
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- 2024 ASEE Annual Conference & Exposition
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Karl D. Schubert FIET, University of Arkansas; Shantel Romer, University of Arkansas; Stephen R. Addison, IEEE Educational Activities; Tina D Moore; Laura J Berry, North Arkansas College; Jennifer Marie Fowler, Arkansas State University; Lee Shoultz, University of Arkansas; Christine C Davis
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Data Science & Analytics Constituent Committee (DSA)
regional specialization makes partnerships with industrysignificantly easier and more likely for guest lectures, student field trips, mid-term team projects,and Practicum/Capstone partnerships.Once we had the vision, mission, strategy, and model in place, it was time to focus oncollaborating to make this happen. We chose to do so through three workshops per year. Fall andWinter Workshops were where we share experiences and progress, and regular status meetingsand the Summer Workshop is focused on pedagogy. The workshops and meetings are our nexttopic.Education Theme Meetings & WorkshopsEach year, the education theme hosts various events to continue participation and engagementacross the theme. These events include: - Annual DART All Hands
- Conference Session
- DSA Technical Session 5
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- 2024 ASEE Annual Conference & Exposition
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Mehmet Ergezer, Wentworth Institute of Technology; Mark Mixer, Wentworth Institute of Technology; Weijie Pang, Wentworth Institute of Technology
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Data Science & Analytics Constituent Committee (DSA), Diversity
traditional curriculum (Applied statistics for research, Datascience foundations, and one DS Elective) with the aforementioned advanced undergraduate courses,streamlining the academic path for students interested in a quicker progression toward a Master’s in DataScience.As in the two-year program, 4 + 1 students undertake a comprehensive capstone project spread across twosemesters, during which they engage in extensive research, write a detailed treatise, and present theirwork, showcasing their mastery of Data Science concepts and methodologies.F. Minor and Related ClassesIn addition to the undergraduate and graduate programs, we also have developed a Data Science minor.The Data Science minor provides students with the necessary analytical skills to
- Conference Session
- DSA Technical Session 5
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- 2024 ASEE Annual Conference & Exposition
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Nicolas Leger, Florida International University; Maimuna Begum Kali, Florida International University; Stephanie Jill Lunn, Florida International University
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Data Science & Analytics Constituent Committee (DSA)
projects” [28, p.1 ], or the “procedure of automatic extraction ofdata from websites using software” [34], or “an interactive method for website and some otheronline sources to browse for and access data” [35]. Other definitions also extend thesedefinitions by suggesting the collection of unstructured data from the web into structured ones in“a central database or spreadsheet” [36]. Web scraping is also referred to as web crawling, butsome argue that web scraping is the extraction of data from a website, whereas web crawling isthe identification of target Uniform Resource Locator (URL) links [34]. Broucke et al. extend onthis and suggest that the crawling term refers to the ability of the program to navigate web pageson its own with the