14 courses with the subject AIA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
AIA 100Selected Topics1-6
Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.
This course is designed to equip students with an understanding of the fundamental concepts of digital automation. The course will explore the convergence of digital technologies with traditional automation processes and highlight the impact of this transformation on industry.
Explore how Generative AI technologies can be leveraged to enhance organizational performance and efficiency. Learn the principles and practices of applying AI in various business scenarios, understanding its potential and limitations, ethical considerations, and its transformative impact on industries.
Course is designed to equip students with an understanding of the fundamental concepts of digital automation. Explores the convergence of digital technologies with traditional automation processes, highlights the impact of this transformation on the industry.
Provides in-depth analysis of semantic data storage and integration within the realm of AI. Covers methodologies, tools, and best practices needed to store, manage, and integrate semantic data effectively to enhance business operations and decision-making.
AIA 330Applications and Dashboards in Digital Automation3
Provides students with theoretical understanding and hands-on experience designing, implementing, and managing applications and dashboards used in digital automation. Course focuses on how to extract, analyze, visualize, and communicate data effectively for decision-making processes in the digital automation context.
AIA 340Process Reengineering using Digital Automation3
The course explores various digital automation technologies, their applications in reengineering business processes, and the practical skills needed to implement these technologies effectively.
Course provides an in-depth exploration of AI applications and the process of delivering AI-driven solutions. Covers methodologies, tools, and best practices needed to develop, deploy, and manage AI solutions that add value to business operations.
Provides an in-depth exploration of the application of artificial intelligence (AI) within various business systems. Covers methodologies, tools, and best practices needed to develop, implement, and manage AI-driven solutions in real-world business solutions.
This course is focused on understanding the principles and applications of sensor technologies and Internet of Things (IoT) in digital automation. Students will learn how to collect and manage sensor data and use IoT platforms to facilitate smart automation processes.
