Cost: $100

This course provides basic computer programming skills using a user-friendly programing language, i.e., Matlab. Students will learn practical skills how to develop computer codes to numerically solve engineering problems. This course includes data types, flow control, functions, plotting, simulation, and numerical methods. Prerequisite: students must possess basic numerical analysis and interpreting skills before enrolling this course.

Course Objectives

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

  1. To introduce computational tool for mechanical engineering systems.
  2. To visualize engineering data in 2D and 3D plots.
  3. To write scripts and functions to formulate mechanical engineering problems.
  4. To solve linear and nonlinear equations numerically.
  5. To critically evaluate obtained mathematical solutions to analyze and design 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.

Credit Criteria

Grading Scale:

Evaluation: 100% completion of badge criteria

Instructor

Gisuk Hwang

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.