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Introduction to Maple
Instructor: David
Harrington
Content: Maple is software that "does
mathematics" for you. Remember learning to differentiate,
integrate, find limits etc in your math course? - now
Maple does that all for you, so you can concentrate on
interpreting your data. This module is an introduction to
Maple that will focus on the some basic aspects that may
be of use to most chemists: (i) how to plot data and
equations in various ways, (ii) how to solve equations,
(iii) how to solve differential equations (think rate
equations here), (iv) Chemical examples will used
throughout, such as equilibrium calculations, membrane
transport, chemical kinetics, etc.
Teaching Objectives
At the conclusion of this course, you should:
Understand the purpose of Maple and basic use of the
software in the worksheet mode.
Know how to plot data and equations in various ways.
Know how to solve equations, both analytically and
symbolically.
Know to solve differential equations (think rate equations
here)
Understand the most commonly used commands of Maple, and
the simpler aspects of the Maple programming language.
Text
There is no textbook, but various resources are provided
by MapleSoft through the Maple Portal that is installed
with the Maple software.
Summary of classes
Introduction to Maple, the worksheet interface, and input
modes. Floating point numbers: how to get them and how
accurate are they, and a little bit about plotting.
Variables and evaluations; sets, lists and sequences;
solving equations (one equation).
Numeric solution of one equation. Solving more than one
equation.
Integration and differentiation. Plotting.
Solving differential equations. Examples: Kinetics of
A->B->C, Particle-in-a-box solutions.
Working with pieces. Introduction to programming.
More on programming. Example: a molar mass calculator.
Vectors and Matrices. Example: Balancing chemical
equations.
This will be an introduction to the subject, and will not
assume any
significant programming or mathematical knowledge. (An
Advanced Maple
module may be offered later, for those with prior
programming
experience.)
Delivery: Approximately eight 1.5-hour
lectures.
Assessment: Approximately six weekly
assignments.
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