Languages and Mathematics Course Descriptions

GRE 1110 Elementary Greek I*
3 Credit Hours
This course studies the elements of New Testament Greek, including intensive drill in vocabulary, conjugation, declensions, and grammatical constructions. It uses limited portions of the New Testament for application.

GRE 2111 Elementary Greek II*
3 Credit Hours
PREREQUISITE: GRE 1110 Elementary Greek I or its equivalent. This course expands on Elementary Greek I and employs the more technical elements of the language to develop skills in exegesis. The Greek New Testament is employed to apply exegetical skills.

GRE 3212 Advanced Greek I*
3 Credit Hours
PREREQUISITES: GRE 1110 Elementary Greek I and GRE 2111 Elementary Greek II. This course engages in the Translation and analysis of selected passages in the Greek New Testament. Includes continuing grammatical investigation, vocabulary acquisition, and development of syntactical analysis.

MGF 1106 Mathematics for the Liberal Arts I*
3 Credit Hours
This course is a general survey course in mathematics and covers a number of traditional, independent topics and will include topics related to mathematical logic sets and systematic counting, probability, statistics, geometry, and critical thinking skills.

MGF 1107 Mathematics for the Liberal Arts II*
3 Credit Hours
The intent of the course is to present topics demonstrating the beauty and utility of mathematics to the general student population and to provide knowledge and skills useful for college, life, and career. The course will include topics related to patterns and reasoning, growth and symmetry, linear and exponential growth, and personal finance. Mathematical connections with music, art, architecture, and nature will be explored. History of mathematics, critical thinking skills, problem solving strategies, and appropriate use of technology will be used throughout the course.

STA 2026 Statistics*
3 Credit Hours
This course is designed to introduce students to the fundamentals of descriptive and inferential statistics with a pronounced emphasis on inference. The major topics include methods for analyzing sets of data, probability distributions, estimation, confidence intervals, hypothesis testing, simple linear regression, correlation, and non parametric statistics.

*indicates this course is included in the Statewide Course Numbering System.