Data and Decisions - Accelerated (Flipped Classroom)
Case/Problem Study
Main Campus
Course Description
Accelerated Data and Decisions is a first-year MBA course in statistics and regression analysis. The course is taught using a flipped classroom model that combines extensive online materials with a more lab-based classroom approach. Traditional lecture content will be learned through online videos, simulations, and exercises, while time spent in the classroom will be discussions, problem solving, or computer lab sessions. Content covered includes sampling techniques, hypothesis testing, t-tests, linear regression, and prediction models. The group regression project is a key component of the course, and all students will learn the statistical software package R. The accelerated course is designed for students with strong quantitative backgrounds. Students taking this course need to be comfortable with mathematical notation, algebra, and basic probability. Students without quantitative backgrounds should consider enrolling in the base version of the course.
OIT 276
Units: 3
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Typically Offered
Not Available
Grading Basis
GSB Letter Graded
Class Level
Graduate School of Business
Instructional Mode
In Person
Gen Ed Requirement(s)
None
