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Dec 26, 2024
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MOIS 000/5304 - Integrated Technologies and Big Data (3 cr.)
Prerequisites
OPMG 5201 and MOIS 3201 (or equivalent)
Description
In this course, we will look at the phenomenon of big data from multiple perspectives: practical, theoretical, statistical, etc. Possible solutions to the problem of big data involve compression, mining, cleaning, database design, visualization, interface design, security, etc. Specifically, this course examines information management in the context of massive sets of data, provides students proficiency with a variety of data analysis tools, and exposes learners to varied data platforms as well as skills and concepts related to data mining and statistical analysis within a business context. Typically, the data mining process is not complete until the results that are produced are predictive to allow for adequate insight into the business. Topics may include: uses of data mining, data mining algorithms, Market Basket Analysis, data cleaning, data visualization and predictive analysis tools and techniques. Students will work on application areas that create or use big data and will be expected to work on relevant projects and to give presentations (mainly focusing on the 5 key Big Data use cases: Big Data exploration, enhanced 360o view of the customer, security/intelligence, extension, operations analysis, and data warehouse augmentation
Team-teaching: The academic professor is responsible for all issues related to the delivery and administration of academic content and course work. The industry representative will assist the academic professor in the planning, delivery and assessment of the practical work which my represent up to 50% of the course load.
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