Course Description
Strength of Materials, ENGR 151
Fundamental concepts of how objects deform or fail under loading, and related concepts by analyzing stretching, bending and torsion of beams/ rods along with their stress and strain analysis; Stress and strain analysis in pressure vessels; strength and elastic instability (buckling).
Key Information
Credit: 6 quarter units /
4 semester units credit
UC Merced, Engineering
Course Credit:
Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.
UC Berkeley:
Unit Credit
UC Davis:
Course Equivalence: UCD ENG 104 Mechanics of Materials
UC Irvine:
Unit Credit
UC Los Angeles:
Unit Credit
UC Merced:
Major Requirement: Common Core course for most Engineering Majors
UC Riverside:
General Education: Elective units
UC San Diego:
Unit Credit
UC San Francisco:
Unit Credit
UC Santa Barbara:
Course Equivalence: ME 15 at UCSB
UC Santa Cruz:
Unit Credit
Prerequisites
ENGR 057 UG C- AND ENGR 045 UG C-
Course Fees
1. Smart textbook by Cengage Learning (MindTap® Engineering,1 term (6 months) Goodno/Gere's Mechanics of Materials, SI Edition, 9th Edition) 2. ProctorU fees for final exam (TBD) 3. Mathworks MATLAB
More About The Course
Course Fees
1. Smart textbook by Cengage Learning (MindTap® Engineering,1 term (6 months) Goodno/Gere's Mechanics of Materials, SI Edition, 9th Edition),
2. ProctorU fees for final exam (TBD),
3. Mathworks MATLAB,
4. Ability/ interactive resource for Zoom meetings
Course Creator
Sachin Goyal
- Understanding biomechanical symptoms of Parkinson's Disease from the perspective of feedback control theory
- Modeling constitutive laws of biological filaments from their atomistic structures
- Understanding biomechanical symptoms of Parkinson's Disease from the perspective of feedback control theory
- Modeling constitutive laws of biological filaments from their atomistic structures