SPECIAL TOPICS IN ENGINEERING ANALYTICS AND OPERATIONS RESEARCH
Various special topics in engineering analytics and operations research, such as machine learning, data management and analysis, optimization, etc.
Prerequisites & course information
Requisites: None Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: Yes, unlimited number of completions Last Taught: Spring 2026 Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in engineering analytics and operations research Audience: Both Grad & Undergrad 2. Apply key theories, concepts, and methods in engineering analytics and operations research, using appropriate tools, processes, and/or software Audience: Both Grad & Undergrad 3. Apply, analyze, or evaluate advanced theories, concepts, or methods in engineering analytics and operations research Audience: Graduate Learning Outcomes: 1. Identify and describe key theories, concepts, and methods in engineering analytics and operations research Audience: Both Grad & Undergrad 2. Apply key theories, concepts, and methods in engineering analytics and operations research, using appropriate tools, processes, and/or software Audience: Both Grad & Undergrad 3. Apply, analyze, or evaluate advanced theories, concepts, or methods in engineering analytics and operations research Audience: Graduate
Sources
- Course catalogue ↗2026-2027