Sample Course Syllabus:
Evaluation and Presentation of Experimental Data
Created by an award-winning University Professor. Content presented at the National Academy of Engineering (NAE) Frontiers of Engineering Education (FOEE).
Today’s technology climate has created a data-driven economy. Several technical fields generate large amounts of data. These large-scale datasets are analyzed to understand the societal, social, environmental, financial, economic, and technology impacts of the products, services, and policies that generate them. The mission of this course is to immerse students in the technical challenges associated with contemporary data analytics.
To achieve this mission, the course will introduce students to modules covering the state-of-the-art in real-time sensor data acquisition and ‘app’ design. Lectures will provide the relevant technical and mathematical background to enable students to capture, analyze, and present data from sensors.
Student groups will receive bi-weekly assignments that will cover several technical aspects of the course. The final deliverable for this class will be a fully functional ‘app’ that will feature relevant sensor data acquisition and signal processing. Student groups will make a sales pitch for their ‘app’ in Week 10 of the class.
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