MA 207
Intro to Math Software
This course provides an introduction to the use of several commercial and
open-source software packages which are useful to mathematics students
and professional mathematicians. The students will acquire a knowledge
of basic programming concepts through computer-aided lectures and
projects and learn how to use each system for symbolic and numerical
problem solving and visualization. Examples will be taken from linear
algebra (operations with vectors and matrices, solving linear equations),
discrete mathematics (elementary combinatorics, basic graphs),
visualization of functions, numerical solution of nonlinear equations,
descriptive statistics, elementary probability and simulations. The
software (e.g. Maple, Matlab, R) presented in the course will enhance
each student's presentation, visualization, and problem-solving skills.
Prerequisites: MA103, MA122.
This course provides an introduction to the use of several commercial and
open-source software packages which are useful to mathematics students
and professional mathematicians. The students will acquire a knowledge
of basic programming concepts through computer-aided lectures and
projects and learn how to use each system for symbolic and numerical
problem solving and visualization. Examples will be taken from linear
algebra (operations with vectors and matrices, solving linear equations),
discrete mathematics (elementary combinatorics, basic graphs),
visualization of functions, numerical solution of nonlinear equations,
descriptive statistics, elementary probability and simulations. The
software (e.g. Maple, Matlab, R) presented in the course will enhance
each student's presentation, visualization, and problem-solving skills.
Prerequisites: MA103, MA122.
This course provides an introduction to the use of several commercial and
open-source software packages which are useful to mathematics students
and professional mathematicians. The students will acquire a knowledge
of basic programming concepts through computer-aided lectures and
projects and learn how to use each system for symbolic and numerical
problem solving and visualization. Examples will be taken from linear
algebra (operations with vectors and matrices, solving linear equations),
discrete mathematics (elementary combinatorics, basic graphs),
visualization of functions, numerical solution of nonlinear equations,
descriptive statistics, elementary probability and simulations. The
software (e.g. Maple, Matlab, R) presented in the course will enhance
each student's presentation, visualization, and problem-solving skills.
Prerequisites: MA103, MA122.
