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MA 0103 - Intermediate Algebra

(MA 0103 is designed to prepare a student for MA 1313 College Algebra) Two hours lecture. Two hours laboratory. Real numbers,algebraic expressions, factoring, algebraic fractions,linear equations/inequalities, quadratic equations, Pythagorean Theorem. Does not count toward any degree.

Delivery Method: Online, Internet or Web-based
Semester: Spring, Summer, and Fall
Sample Syllabus (pdf)

MA 1313 - College Algebra

(Students with credit in MA 1713 will not receive credit for this course; Prerequisite: ACT math subscore 20, or grade of C or better in MA 0103).Two hour lecture. Two hours laboratory. Review of fundamentals; linear and quadratic equations; inequalities; functions; simultaneous equations; topics in the theory of equations.

Delivery Method: Online, Internet or Web-based
Semester: Spring, Summer, and Fall
Sample Syllabus (pdf)

MA 1323 - Trigonometry

(Students with credit in MA 1713 will not receive credit for this course; Prerequisite: ACT Math subscore 24, or grade of C or better in MA 1313). ;Three hours lecture. The trigonometric functions: identities; trigonometric equations; applications.

Delivery Method: Online, Internet or Web-based
Semester: Spring, Summer, and Fall
Sample Syllabus (pdf)

MA 1423 - Problem Solving Reals

(Prerequisite: C or better in MA 1413). Three hours lecture.  Proportions, percent problems, probability, counting  principles,statistics. (For Elementary of Special Education  majors only).

Delivery Method: Online, Internet or Web-based
Semester: Fall
Sample Syllabus (pdf)

MA 1613 - Cal Bus & Life Sc I

(Prerequisite: ACT Math subscore 24, or grade of C or better in MA 1313). Three hours lecture. Algebraic and some transcendental functions, solutions of systems of linear equations, limits, continuity, derivatives, applications.

Delivery Method: Online, Internet or Web-based
Semester: Spring, Summer and Fall
Sample Syllabus (pdf)

MA 2113 - Intro to Stats

(Prerequisite:ACT Math subscore 24 or a grade of C or better in MA 1313 ). Three hours lecture. Introduction to statistical techniques: descriptive statistics, random variables, probability distributions, estimation, confidence intervals, hypothesis testing, and measurement of association. Computer instruction for statistical analysis. (Same as ST 2113).

Delivery Method: Online, Internet or Web-based
Semester: Spring, Summer and Fall
Sample Syllabus (pdf)

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