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Course Criteria
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3.00 Credits
Course emphasizes increasing fluency in comprehension, speaking, reading, and writing skills as well as understanding of cultural issues while performing service in a Spanish-speaking atmosphere. Students are required to spend several hours providing service for a community partner to improve their language skills and appreciation for the Latino community. Taught every semester.
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3.00 Credits
An elementary treatment of probability and statistical concepts. Topics include descriptive statistics, probability basics, population distribution, sampling distribution and hypothesis testing for population mean. Emphasis will be placed on understanding the fundamental concepts in statistics and interpretation of statistical results. Excel/calculators are used for computation.
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3.00 Credits
An introduction to probability and statistical concepts. Topics include frequency distributions, probability theory, probability distributions, central limit theorem, sampling distribution, and hypothesis testing for parameters of population. A statistical package will be introduced.
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3.00 Credits
This course will build the foundation of statistical skills in design of experiments and surveys. Topics include completely randomized design, completely randomized block design, and factorial design. Examples will be from a variety of disciplines, such as Engineering, Biomedical, Business, Phycology, and Political Science. It will introduce Statistical packages in R to analyze data generated from experiments and surveys.
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3.00 Credits
A course in applied statistics covering practical statistical methods. Topics include comparisons of population means, One-way ANOVA, simple linear regression, categorical data analysis and certain nonparametric procedures. A statistical package will be introduced.
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3.00 Credits
A study of a particular aspect of statistics or a related area at junior level that is of interest to both mathematics majors and other majors, but is not on our list of standard statistics courses. The offering of this course will depend upon the interest of the students, the availability of an instructor, and approval of the department head. Since the content of the course may change, a student may repeat the course for credit with the consent of the department head.
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3.00 Credits
This course provides hands-on applications of analytics for decision-making and forecasting. Examples are from social media analytics, business analytics, sports analytics, and other data-oriented disciplines. It will focus on extracting information from up-to-date data. Topics will include databases, data visualization, smoothing splines, data transformation, and applications of regression analysis. It will introduce statistical packages of data analytics in R.
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3.00 Credits
An introduction of using statistical packages such as R to analyze data from real world examples. Topics include exploratory analysis of data, the analysis of variance, linear regression models, multiple comparisons and resampling techniques such as bootstrap method.
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3.00 Credits
Selected topics in statistics. The offering of this course will depend upon the interest of the students, the availability of an instructor, and approval of the department head. Since the content of the course may change, a student may repeat the course for credit with the consent of the department head.
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3.00 Credits
This course is designed to provide students with fundamental knowledge of applied anatomy, human movement, exercise science, and biomechanics as they relate to fitness and performance. Topics to be covered include but are not limited to: gross human anatomy, structural kinesiology, and bioenergetics as they relate to exercise technique and human performance.
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