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Prof. John R. White
courses identified here have additional online course information
for use within the courses taught by Prof. White at UMass-Lowell.
In some cases, significant course content is provided via detailed
Lecture Notes. In all cases, general information about course administration,
course content, grading policy, course goals, etc. is provided.
Also, since most of my courses use Matlab quite extensively, links
to a variety of Matlab examples for the various courses are also
provided. I hope you find some of this stuff useful! Enjoy!!!
For those students actually taking these courses from me, you can
check out my formal grading policy for both my undergraduate and
graduate courses by clicking
here. The correspondence between the numerical grade and letter
grade given here is used consistently for all my courses, with a
slightly different distribution between my undergraduate and graduate
(10.303 or 14.301)
This course overviews the basic properties of fluids, the
study of fluid statics and fluid flow systems, and the development
and application of the appropriate mass, momentum, and energy
balance relationships needed to solve a variety of practical
problems. Emphasis is on the ability to apply the basic principles
to the design and analysis of engineering systems.
This course represents an introduction to mathematical modeling
and to the various solution techniques available to solve
and analyze the resultant differential equations. The emphasis
in this first course in differential equations is on the development
of basic skills for the modeling and analysis of physical
systems governed by one independent variable (ODEs).
Solving with Matlab
This course develops problem solving skills for a broad range
of technical applications. Matlab will be used as the programming
environment, since it gives all the key elements of a full
programming language, yet its large inventory of built-in
functions and relatively concise syntax allows the solution
of complex problems within short, well-structured programs.
This course highlights several key analytical and computational
techniques from the field of applied engineering mathematics.
The primary focus is on the solution of ordinary and partial
differential equations using both analytical and numerical
methods. Computer work using the Matlab and FEMLAB packages
(24.509 or 22.554)
This course provides an introduction to the analytical
and computational aspects of system dynamics. Emphasis is
on the generalized state variable approach to describing a
system's transient behavior. Specific topics include matrix
fundamentals, time and frequency domain simulation methods,
transfer functions, stability analysis, and an introduction
to control systems. Matlab and Simulink are used extensively.
updated by Prof. John R. White (Jan. 2006)
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