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Dec 26, 2024
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BBA 110 - Fundamentals of Design Thinking and Data ScienceSemester Hours: 3
Fall, Spring
This course introduces Design Thinking concepts in the context of Data Science. Design Thinking is an iterative process to understand user requirements and redefine business problems to identify solutions that may not be apparent. Design Thinking is critically important to solve problems in a creative way in our business, society, and daily lives. Data Science techniques will include constructing models to predict outcomes and discover underlying patterns, exploring the scientific method for data-driven projects, understanding data analytics tools including machine-learning algorithms, and acquiring skills in data visualization techniques. Throughout this course, students will learn how to use design thinking, powered by data science techniques, through industry-use cases and hands-on labs.
Prerequisite(s)/Course Notes:
MKT101, FIN101, MGT110. Junior class standing or above. May not be taken on a Pass/D+/D/Fail basis.
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