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May 15, 2024
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2021-2022 Academic Catalog [ARCHIVED CATALOG]
Course Descriptions
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Spanish |
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SPAN 105 - Spanish for the Healthcare Worker (3)
This course teaches basic communication skills for conversing with Spanish-speaking patients in the healthcare setting. The student learns basic grammatical structure and vocabulary as well as specific medical terminology. Fall, Summer
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Speech |
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SPCH 145 - Introduction to Public Speaking (3)
This course emphasizes the preparation and presentation of informative and persuasive speeches, including methods of securing interest, persuasion, and delivery. The course meets the requirement for an oral communication course (see the communication requirements section in the Academic Catalog). (Fall, Spring)
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Statistics |
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STAT 205 - Introduction to Applied Statistics (3)
Prerequisites: Two semesters of high school algebra with a minimum grade of “B” (3.00) or a college-level math course with a minimum grade of “C” (2.00).
This course is an introduction to statistics and its applications and is designed to prepare students to interpret and evaluate statistics and statistical methods used in published research papers and to make decisions about the appropriateness of specific statistical methods in a variety of settings. Areas of emphasis will include descriptive statistics; analysis of graphs; sampling methods; binomial, z, t, and chi-square; confidence intervals; and hypothesis testing. This course will not fulfill the pre-requisite requirements for graduate degrees. (Fall, Spring, Summer)
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STAT 215 - Elementary Statistics (3)
Prerequisites: MATH 105 , or higher level college. Two years of high school algebra with a minimum grade of “B” (3.00).
This course is an introduction to descriptive and inferential statistics, including elementary probability; probability distributions; hypothesis testing, correlation, and regression. (Fall, Spring, Summer)
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STAT 515 - Scientific Inquiry and Research (3) Prerequisites: STAT215
This course is a review of research designs and scientific methods of research, including concepts of validity, reliability, and standardization leading to the systematic evaluation and application of evidence-based research. The course covers qualitative and quantitative data analyses including one-sample, correlation and regression, analysis of variance and covariance, factorial and multivariate, and nonparametric methodologies relevant to healthcare. The utilization of scientific evidence through scholarly inquiry to improve business, as well as clinical processes and ultimately patient outcomes, is emphasized.
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