For students in STEM programs, learning about data analytics is a critical piece of the curriculum. Unfortunately, most students only have access to fixed, static data that can’t be collected and analyzed in real-time, which doesn’t simulate the business environments they will work in after graduation.

Today, the industry demands “translators” who can make connections between data and data analytical techniques to drive operational improvements — and that training must start in the classroom before entering the professional world.

Related content: How data and technology will drive the future of higher ed

University of California, Davis, has embedded this thinking into our curriculum for years, working with OSIsoft — a leader in operational technology and developer of the PI System — to form the backbone of our energy management, sustainability operations, and student programs.

Educating students using real-world problems, with real-world data

Improving the art of winemaking

Winemaking has evolved into a blend of art and science, leaning heavily on winemaker expertise as well as critical production markers. It’s susceptible to changes in soil, drought, process issues, human error, and more.

About the Author:

Kiernan Salmon is Product Developer of Facilities Energy & Engineering at UC Davis. Jill Brigham is Executive Director, Sustainable Wine & Food Processing Center, UC Davis.


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