|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
This course provides students with practical statistical tools for analyzing a variety of data. Students will learn how to choose which statistical test to implement, how to apply computer software to conduct tests, and how to interpret the statistical results. Topics include discussion of frequency distributions, measures of central tendency and variation, exploratory data analysis, probability, hypothesis testing and inferences about proportions and means (one and two populations), analysis of variance, correlation, linear regression, and nonparametric statistics. Prerequisites: College math placement above Math 1150 or successful completion of Math 1150 or higher with grade of "C" or better.
-
5.00 Credits
This course is a thorough treatment of differentiation and an introduction to integration. Topics include the definition of derivative, limits and continuity, differentiation, applications of the derivative, definite and indefinite integrals, the Fundamental Theorem of Calculus, techniques of integration, and applications of integration. Prerequisites: College math placement level or successful completion of Math 1170 or Math 1180 with grade of "C" or better
-
5.00 Credits
This course continues the study of the definite and indefinite integrals and leads to a study of improper integrals and infinite series. Topics include advanced techniques of anti-differentiation, numerical integration techniques and error bounding, applications of the integral, improper integrals, an introduction to differential equations, infinite series, parametric equations, and polar coordinates. Prerequisites: Successful completion of Math 1221 with grade of "C" or better
-
1.00 - 5.00 Credits
This course will provide flexibility in offering an in-depth review of topics of immediate importance and topical interest. These topics will go beyond the introductory courses in examining specific aspects of the subject matter.
-
4.00 Credits
The course covers mathematical topics essential for work in computer science. Topics include: number bases, mathematical induction, sets, relations, functions, congruence, recursion, combinations and permutations, probability, graphs, trees, logic, Boolean algebra, and proof techniques. Computing related problems and examples are integrated throughout the course. Prerequisites: MATH 1150 College Algebra (Minimum grade: 1.67 GPA Equivalent) Or A score of 79 or higher on the College Level Math (0167) placement test Or An ACT math score of 26 or higher
-
4.00 Credits
This is a calculus-based first course in the study of probability and statistics. Topics include descriptive statistics and statistical graphs, probability theories, random variables (discrete, continuous, and joint), statistical intervals, hypothesis testing, two-sample inference, and regression (linear and multiple). Additional topics may include analysis of categorical data, analysis of variance, control charts, and Bayesian method.
-
5.00 Credits
Topics in this course include solid analytic geometry, vectors in space, scalar and vector products, vector functions and derivatives/integrals, multi-variable functions, partial derivatives, alternative coordinate systems, and double and triple integrals. The geometry of space curves, line and surface integrals, cural and gradient divergence, and Stokes' theorem are also included. Emphasis will be on learning relevant mathematical methods. Prerequisites: Successful completion of Math 1222 with a grade of "C" or better
-
4.00 Credits
This course includes vectors and vector spaces, matrices, matrix algebra, linear systems of equations, determinants, linear transformations, eigenvalues and eigenvectors. Students will also be expected to construct proofs relating to linear dependence and/or independence, the span of a set of vectors, and whether a set of vectors satisfies the vector space axioms.
-
4.00 Credits
The content of this course covers first and second ordinary differential equations with applications, higher order linear equations, constant coefficients, differential operators, variation of parameters, power series methods, Laplace transforms, and solving systems of differential equations. The student will also be introduced to numerical methods for solving differential equations.
-
1.00 Credits
This course will introduce the student to the general role of the healthcare provider as well as the specific role of the Medical Laboratory Technician. Students will learn about and practice infection control and safety, medical terminology, healthcare ethics, venipuncture technique, specimen processing, and quality assurance. The course will run the first half of the fall semester and will meet once a week for 2 hours.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2025 AcademyOne, Inc.
|
|
|