IE 1062 - DATA MINING

Minimum Credits: 3
Maximum Credits: 3
This is an introductory data analytics class that requires probability as a prerequisite. The objective is to prepare students to effectively collect and analyze data and to teach data-driven thinking, problem-solving and decision-making. In this class, we will cover various statistics and data mining methodologies and use them to analyze real-world problems.
Academic Career: Undergraduate
Course Component: Lecture
Grade Component: Letter Grade
Course Requirements: PREQ: IE 1070 and IE 0015; LEVEL: Sophomores and above; PROG: Swanson School of Engineering

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