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IMSE 433

Industrial Data Analytics

Catalog2026-2027
Credits3 units
LevelUpper Division
Standard

Overview

Description

Industrial Data Analytics is a course that covers the principles and practices of analyzing large data sets in industrial settings. Students learn about data acquisition, preprocessing, visualization, modeling, and interpretation from various sources. Emphasizes is on statistical analysis, machine learning, and data mining techniques used in industry. Students work with real-world data sets and be able to apply data analytics techniques to make data-driven decisions in industrial settings.

Requirements

Prerequisites

STAT 352CHE 245
Original catalog text

Prerequisites

Prerequisite(s):STAT 352, CHE 245

Units

Lecture3

Catalog Details

Offering

Offered: Every Fall

Terms

fall

Attributes

Standard

Learning Outcomes

  • identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.
  • recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.
  • develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.