Current Students

DSGN 295: Data Driven Decision Making

Description

You live in a data revolution where data is more accessible than ever before. This highly interactive and technology-enabled course teaches students how to collect data and then use it for making good decisions in a design context. The course will feature some online learning and substantial in-class team-based and individual-based data collection and analysis. We also will discuss how proven data investigation techniques can lead to innovative insights that radically change the direction of designs leading to innovation. At the end of the course, students will be comfortable using statistical techniques such as paired tests, decision making through confidence intervals, and regression analysis. Finally, design claims, such as “Our product performs at least 50% better than our competition” must be supported by statistical hypothesis testing and students will learn how these types of claims can be justified.

Prerequisites

None.

Quarter Offered

Fall

DSGN 295 Data Driven Decision Making, Section 20
Meets Tuesday and Thursday, 12:30 to 1:50 p.m. in Frances Searle 1421
Instructor: Bruce Ankenman

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