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). 

Course description:
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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.
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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.

Learning Objectives:

1. Students will learn to extract and process data from sensors.
2. Students will design and apply descriptive and predictive statistics and uncertainty analysis
3. to analyze this data.
4. Students will use technical software (MATLAB) required to perform these analyses.
5. Students will be able to design and implement an intuitive user experience (UX) via
6. visualizations that provide meaningful insights gleaned from the analyses.

Week #	Assignment Released	Assignment Due
1	Biweekly 1
2		Biweekly 1
3	Biweekly 2
4		Biweekly 2
5	Biweekly 3
6		Biweekly 3
7	Biweekly 4
8		Biweekly 4
9	In-class presentations	Teamwork Evaluation 1
10		Mini-project due
11	Biweekly 6
12		Biweekly 6
13	Biweekly 7
14		Biweekly 7
15	In-class Presentations	Teamwork Evaluation 2
16		Final project due

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Explorer: Educator Package:

• Content for 1 semester-long course
• Downloadable industry standard code
• Video access
• Powerpoint slides
• Assignment problems with solution manual
• Capstone project statements with code
• Formative and summative rubrics

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Deep Impact: Educator Package:

• Content for 2 semester-long courses
• Downloadable industry standard code
• Video access
• Monthly webinars
• Powerpoint slides
• Assignment problems with solution manual
• Capstone project statements with code
• Formative and summative rubrics

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