ESI 6630: Advanced Artificial Intelligence for Industrial Engineers

University of Central Florida

Understanding and building advanced AI systems. Methodologies including deep neural, graph neural and convolutional networks, transformers, and generative modeling will be presented for analyzing real-world Industrial Engineering problems.

Average GPA: 4.00

Grade distribution records: 15 students across 1 terms.

Grade distribution

GradeStudentsPercent
A1386.7%
W16.7%

Based on 15 student grade records across 1 term and 1 professor.

Instructors

Still loading. This can take a moment on a slow connection.

Loading My Class Grades