This program will provide students with an overview of the fundamental concepts in applied digital automation. The program will explore the convergence of digital technologies with traditional automation processes and highlight the impact of this transformation on industry. The program covers the foundations of digital automation including: applications and dashboards; predictive analytics; process automation; sensor and IIOT data management; and generative AI.
Learning Outcomes
- Identify and describe the conceptual and practical significance of digital automation processes, tools, and techniques.
- Demonstrate the understanding and application of key technologies used in Digital Automation
- Analyze the application of these technologies in various industrial scenarios and define their impact on productivity, efficiency, and innovation.
- Analyze future trends in digital automation to assess and evaluate the potential implications on industry and society.
Courses (18 Credits)
- AIA 210: Foundations of Digital Automation
- AIA 328: Predictive Analytics for Digital Automation
- AIA 330: Applications and Dashboards in Digital Automation
- AIA 340: Process Reengineering using Digital Automation
- AIA 427: Sensor and IoT Data in Digital Automation
- AIA 430: Generative AI in Digital Automation
Admission Requirements
- Must enter program no later than first semester of junior year.
- The minor is open to Syracuse University undergraduate students in good standing with the approval of their home college.
If you have additional questions about a specific minor, please speak with your academic advisor or email profstudiesminors@syr.edu.