Engineering Measurement and Data Analysis

Catalog description

The course will introduce students to fundamentals of experimental design, measurement systems and applied data analysis techniques and includes 'hands-on' laboratory exercises with sensors and computer-based data acquisition. Emphasis is on general concepts and their practical application towards engineering problems. The goal of the class is to build needed background, skills and vocabulary to develop students' experimental practice rather than focusing on the underlying fundamentals of distinct areas. Students will develop more topic/media-specific knowledge through a team experimental project. Prerequisites include a course in statistics (e.g. ST 370 , ST 515 or equivalent) and some coursework or experience involving scientific programming (e.g. CE 536 or 537 ; Matlab, Python, R, Igor Pro, IDL). Appropriate background can be determined via discussion with instructor.