An Introductory Multidisciplinary Data Science Course Incorporating Experiential Learning

2019 ◽  
pp. 33-49
Author(s):  
Nelson Wong ◽  
Jalal Kawash
Keyword(s):  
Experiential Learning ◽  
Data Science ◽  
Multidisciplinary Data

scholarly journals 2021 Undergraduate Big Data Challenge: Infodemiology for the Future of Digital and Public Health

2021 ◽  
pp. 1-20
Keyword(s):  
Public Health ◽  
Big Data ◽  
Experiential Learning ◽  
Scientific Inquiry ◽  
Data Science ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Research Projects ◽  
Independent Research ◽  
Learning Program

STEM Fellowship’s Undergraduate Big Data Challenge (UnBDC) is an inquiry-driven and experiential learning program that invites students from across the country to strengthen their problem-solving and critical thinking skills while gaining familiarity with the fundamentals of data science. By allowing students to undertake independent research projects that tackle realworld public health and bioinformatics problems, the BDC fosters scientific inquiry and prompts new and innovative ideas.

Community Involvement and Benefits From an International Service Learning Program

2017 ◽  
Vol 2 (7) ◽  
pp. 5-12 ◽  
Author(s):  
Lata A. Krishnan ◽  
Christi Masters ◽  
Jennifer M. Simpson
Keyword(s):  
Service Learning ◽  
Experiential Learning ◽  
Community Involvement ◽  
Learning Program ◽  
Short Term ◽  
International Service Learning ◽  
International Service ◽  
Short Term Study ◽  
Service Activities ◽  
Study Abroad Program

Service learning (SL) is a form of experiential learning in which students are involved in community service activities that are related to academic course objectives. A key aspect that separates SL from other forms of experiential learning is the mutually beneficial nature of the service activities. Much of the SL and international SL (ISL) literature has focused on positive learning outcomes for students, with much less focus on the benefits of SL to the community. Speech, Language, and Hearing Services (SLHS) in Zambia is an intensive SL short-term study abroad program. This paper describes the benefits to the community via the SLHS in Zambia program.

Model-Based Clustering and Classification for Data Science

2019 ◽  
Author(s):  
Charles Bouveyron ◽  
Gilles Celeux ◽  
T. Brendan Murphy ◽  
Adrian E. Raftery
Keyword(s):  
Data Science ◽  
Model Based Clustering ◽  
Model Based ◽  
Clustering And Classification
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