Catalog Course Search Details

 Department:    ENGR

 Course #:    316

 Credits:    5

 Variable:     No

 IUs:    5

 CIP:    15.0613

 EPC:    MATPDBAS

 REV:    2024

 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  

Prerequisite: Admission to BASAMD program and Dept. Chair permission.

Contact Hours (based on 11 week quarter)

Lecture: 55

Lab: 0

Other: 0

Systems: 0

Clinical: 0

Intent: Distribution Requirement(s) Status:  

Vocational Preparatory N/A  

Equivalencies At Other Institutions

Learning Outcomes

After completing this course, the student will be able to:

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

General Education Learning Values & Outcomes

Revised August 2008 and affects outlines for 2008 year 1 and later.

Course Contents

1. Engineering problem solving.
2. Setup and use of software tools.
3. Fundamentals of python programming.
4. Introduction to data mining and data storage.
5. Fundamentals of data quality, import, parsing, and visualization.
6. Fundamentals of Applied Engineering Analysis.
7. Fundamentals of statistical methods.
8. Decision making and presentation of results.