Computer Programming: Root Finding for Engineers

This course provides the basic principle of root finding method (solving nonlinear equations) to solve various mechanical engineering problems. Students will practice how to implement the mathematical principles into the user-friendly computer code, i.e., Matlab, to numerically solve nonlinear equations. Prerequisite: students must possess basic math skills in algebra and calculus and elementary computer programming skills before enrolling this course.

Please note: WSU Badge Courses are for non-degree seeking students. Degree seeking students cannot enroll in a badge course.  If you are unsure of your student status, please contact us at 316-978-7579 or workforce@wichita.edu and we’ll provide assistance. 

Course Objectives:
Upon successful completion of this course, students will be able to:

  1. To identify nonlinear equations in mechanical engineering systems.
  2. To introduce principle of root finding methods (solving nonlinear equations).
  3. To practice the implantations of mathematical principles into the user-friendly computer code.
  4. To identify advantages and disadvantages on each root finding method.
  5. To critically evaluate obtained mathematical solutions to analyze and design mechanical engineering systems.

Credit Hours

Successful completion of this badge is awarded 0.5 online hours of credit. Workload for completion is based on the expectation that students will spend a minimum of 7.5 hours in instruction over the length of the badge and an additional 15 hours on preparation, readings, studying, writing, research and other assignments as determined by the badge instructor. Activities will involve working online, participating in asynchronous activities, and other offline work.

Grading Scale: Badge/No Badge

Evaluation: 100% completion of badge criteria

Instructors: 

Gisuk Hwang

Dr. Hwang currently works in Department of Mechanical Engineering at Wichita State University as an assistant professor. Prior to this, he worked in Environmental Energy Technologies Division at Lawrence Berkeley National Laboratory (2010-2013) as a post-doctoral fellow after he earned his M.S. (2006) and Ph.D. (2010) from the Department of Mechanical Engineering at the University of Michigan, in the field of polymer electrolyte membrane fuel cells and thermal energy management systems. His research interests are the development and optimization of the nano-/micro-scale heat and energy transport/conversion systems using modeling and experiments.

Categories: 

CRNs

CRN Course # Term
26707 ME 320BD Spring 2018