Provost  Learning
Sustained Analysis across Engineering
Demonstration of the use of
MATLAB in Core  Mechanical
Engineering Courses
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Innovation    Grant
Curriculum using Same Software
RIT  2006
  P. V e n k a t a r a m a n                                   M e c h a n i c a l   E n g i n e e r i n g
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Current use of analysis software in engineering education, in the core courses, in all institutions, is spotty and inconsistent. It is discontinuous and hardly does justice to the phenomenal power that these tools can bring to problem solving and concept visualization. It is instructor dependent based on particular teaching philosophy, prejudice, and depth of knowledge of the tool.

It is difficult to recommend universal adoption of the same software in all courses (where it is possible) unless it can be shown to be effective. To become a useful instrument in student's learning, it must be tried out in the complete sequence. To become part of the experience there must be a resource from where the faculty and the students can be shown how it can be incorporated. This web site delivers such a resource.

The faculty and the student should possess some knowledge of MATLAB (must have used it before)  in order that this site be effective.  This site is not recommended for learning MATLAB.   There are  links in the resources menu for accomplishing that.  However, for the student, a formal exposure would be the most effective.

The Horizontal menu at the top invites you visit the following core courses in Mechanical Engineering: Statics, Strength of Materials, Dynamics, Thermodynamics, Fluid Mechanics, Heat Transfer, Machine Design, System Dynamics, Statistics, and Matrix applicationsMost of the problems are chosen from examples in the current text books recommended for these courses.   This makes the site immediately relevant.

There are three problems under each course and
each problem is completely solved establishing the steps and
then re-solved using MATLAB implementing the same steps
with the solution accompanied by graphics (if expected) and the code annotated with programming notes

The site should be easy for students to self learn. It is expected that the students will become the strongest advocate in utilization of the same software to deliver analysis in all of their courses.

The first menu Resources  leads you to additional useful web sites created by the author through other Provost Innovation Grants




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