ENGR 316 - Applied Engineering Analysis for Manufacturing

Credits: 5
Variable Credit Course: No

Lecture Hours: 55
Lab Hours: 0
Worksite/Clinical Hours: 0
Other Hours (LIA/Internships): 0

Course Description: Introduction to the computational tools, methods, and practices used in the analysis of data related to engineering. Explore and evaluate data sets; solve technical problems using the principles of mathematics and statistics; review the fundamentals of programming using engineering software tools; and produce industry standard documentation to communicate analysis results.

Prerequisite: Admission to BASAMD program and Dept. Chair permission.
Meets FQE Requirement: No
Integrative Experience Requirement: No

Student Learning Outcomes

Determine the characteristics of data sets by utilizing industry standard practices and techniques [identify, classify, and evaluate].
Solve technical problems by analyzing data sets and applying principles of mathematics and statistics.
Demonstrate the use of engineering software tools by utilizing and developing programming scripts to analyze data sets.
Develop a data analysis report by applying industry standard practices and reviewing and referencing industry reports and case studies.

Course Contents

Engineering problem solving.
Setup and use of software tools.
Fundamentals of python programming.
Introduction to data mining and data storage.
Fundamentals of data quality, import, parsing, and visualization.
Fundamentals of Applied Engineering Analysis.
Fundamentals of statistical methods.
Decision making and presentation of results.

Instructional Units: 5