IE/MFG/SE 5358 - Industrial Data Analytics (Fall 2024)
Graduate course, The University of Texas at El Paso, Department of Industrial, Manufacturing and Systems Engineering, 2024
Course Description: This course serves as an introduction to data analytics, focusing on its application in industrial settings. The curriculum is structured to introduce students to the fundamentals and complexities of data mining through a series of modules: (1) an overview of data analytics, (2) preprocessing of industrial data, (3) mining frequent patterns and correlations, (4) part classification, (5) cluster analysis, (6) exploration of data mining software, and (7) practical application of data analytics techniques using Python. This course equips students with both a foundational understanding of general data analytics methods and the skills to apply these techniques to solve industry-specific problems. This is a cross-listed course for both undergraduate and graduate students, and graduate students are required to do a course project.
Class Enrollment: 22 Graduate students enrolled in this course.
Student Evaluation: 4.4/5.0