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Spring 2020 - Applied Learning Practicum (INTR-799-06) - Full TermPamela SmithMore info

Spring 2020 - Data Science & Big Data Analy (ITS-836-52) - Full TermMultiple Instructors More info

Spring 2020 - Infer Stats in Decision-Making (DSRT-734-05) - Second Bi-TermMultiple Instructors

Fall 2019 - Applied Learning Practicum (INTR-799-03) - Full TermPamela SmithMore info

Fall 2019 - InfoTech Import in Strat Plan (ITS-831-05) - First Bi-TermMultiple Instructors More info

Spring 2020 - Data Science & Big Data Analy (ITS-836-52) - Full Term

InformationSpring 2020 - Data Science & Big Data Analy (ITS-836-52) - Full Term

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Big Data Analytics

iden�fy fundamental concepts of Big Data management and analy�cs. become competent in recognizing challenges faced by applica�ons dealing with very large volumes of data as well as in proposing scalable solu�ons for them. be able to understand how Big Data impacts business intelligence, scien�fic discovery, and our day-to-day life.

Course Descrip�on: In this course the students explore key data analysis and management techniques, which applied to massive datasets are the cornerstone that enables real-�me decision making in distributed environments, business intelligence in the Web, and scien�fic discovery at large scale. In par�cular, students examine the map-reduce parallel compu�ng paradigm and associated technologies such as distributed file systems, no-sql databases, and stream compu�ng engines. This highly interac�ve course is based on the problem-based learning philosophy. Students are expected to make use of technologies to design highly scalable systems that can process and analyze Big Data for a variety of scien�fic, social, and environmental challenges.

Course Objec�ves/Learner Outcomes:

Course Objec�ves/Learner Outcomes:

Upon comple�on of this course, the student will:

 

Prerequisites: There are no prerequisites for this course.

Books and Resources:

Required Text EMC Educa�on Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc

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