|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Differential calculus of functions of one variable, including: limits, continutiy, differentiation, and differentiation rules. Problems are evaluated from theoretical, procedural, and engineering perspectives.
-
3.00 Credits
Applications of derivative, anti-differentiation, definite and indefinite integrals, and integration by substitution.
-
4.00 Credits
Limits, derivatives, applications of the derivative, antiderivatives and definite integrals.
-
4.00 Credits
Applications of the integral, transcendental functions, techniques of integration, series and sequences of real numbers, Taylor series, power series, parametric equations and polar coordinates.
-
2.00 Credits
Applications of the integral, and techniques of integration.
-
3.00 Credits
The purpose of this course is for transferring in a lower level non-remedial mathematics or statistics course that is not equivalent to one of existing course in mathematics or statistics at The Citadel. A student will allow to get credit for this course more than once as soon as the covered topics of the courses transferred in are distinct.
-
3.00 Credits
Set algebra including relations and functions, propositional and predicate logic, combinatorics, graphs, and applications of these to various areas of computer science.
-
4.00 Credits
The analytical geometry of two and three dimensions, the differential and integral calculus of functions of two or more variables, and vector differential calculus.
-
4.00 Credits
An integrated course in linear algebra and differential equations. Topics include differential equations of the first order and degree, linear differential equations of higher order, systems of differential equations, the Laplace transform, vector spaces, bases, linear transformations, systems of linear equations, algebra of matrices, and determinants.
-
3.00 Credits
Systems of linear equations, algebra of matrices, inverses, determinants, vector spaces with emphasis on Euclidean vector spaces, bases, subspaces, transformations, eigenvalues and eigenvectors, and quadratic forms.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|