Skagit Valley College

Catalog Course Search Details

New Course: this course was added after the last catalog

 Course Title:   Applied Strength of Materials for Manufacturing

 Title Abbreviation:   APP STRENGTH/MATERI/MANF

 Department:    PHYS

 Course #:    316

 Credits:    5

 Variable:     No

 IUs:    6

 CIP:    15.0613

 EPC:    MATPDBAS

 REV:    2024


 Course Description  

Introduction to the equipment, standards, and practices used in the testing of manufacturing materials. Review and adopt industrial safety practices; use laboratory equipment to conduct standard tests, and collect data on manufacturing materials; retain, organize, share, analyze, and visualize data; and develop solutions to engineering mechanics problems.

 Prerequisite  

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

Additional Course Details

Contact Hours (based on 11 week quarter)

Lecture: 33

Lab: 44

Other: 0

Systems: 0

Clinical: 0


Intent: Distribution Requirement(s) Status:  

Vocational Preparatory N/A  

Equivalencies At Other Institutions

Other Institution Equivalencies Table
Institution Course # Remarks
N/A

Learning Outcomes

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

  1. Demonstrate the use of industrial safety practices by reviewing and following all individual and team safety instructions.
  2. Conduct standard material tests by following industry standard processes and practices.
  3. Analyze and graph material test data by using computational software tools and industry standard processes and practices.
  4. Solve engineering mechanics problems by following a standard problem-solving method that includes the use of computational software tools.

General Education Learning Values & Outcomes

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

Course Contents

  1. Safety training.
  2. Introduction to manufacturing materials.
  3. Destructive vs. non-destructive testing.
  4. Equipment familiarization.
  5. Standard tests.
  6. Data collection, analysis, and visualization.
  7. Engineering problem solving methods.