DATA MANAGEMENT AND ANALYSIS FOR INDUSTRIAL ENGINEERS

Prerequisites & course information

Requisites: I SY E 210 , B M E 325 , E C E 331 , MATH 331 , MATH/STAT 309 , 409, 410, 431 , STAT 311 , 324 , or member of Engineering Guest Students Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Demonstrate knowledge of fundamental industrial database management strategies Audience: Undergraduate 2. Apply data preprocessing, visualization, and modeling techniques Audience: Undergraduate 3. Apply industrial database management techniques using structured query language (SQL) Audience: Undergraduate 4. Use leading programming software to perform data regression analysis Audience: Undergraduate 5. Create and solve a real-life industrial data analytics problem, and present results effectively to audience Audience: Undergraduate Learning Outcomes: 1. Demonstrate knowledge of fundamental industrial database management strategies Audience: Undergraduate 2. Apply data preprocessing, visualization, and modeling techniques Audience: Undergraduate 3. Apply industrial database management techniques using structured query language (SQL) Audience: Undergraduate 4. Use leading programming software to perform data regression analysis Audience: Undergraduate 5. Create and solve a real-life industrial data analytics problem, and present results effectively to audience Audience: Undergraduate