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Course Criteria
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3.00 Credits
This course introduces the basic concepts of statistics through intuitive approaches and stresses applications. Topics include: descriptive measures, regression, elementary probability, the normal distribution, sampling, the Central Limit Theorem, hypothesis testing, estimation, and statistical software packages.
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3.00 Credits
This course focuses on the use of descriptive statistics, probability, introductory statistical inference, and data analysis in an applied setting. Students will be required to use appropriate software packages and calculators with statistical functionality in the course.
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3.00 Credits
In this course, students study the basic concepts of mathematical probability, emphasizing applications to solving practical problems. Topics include random variables, probability laws, expected value, probability mass functions, probability densities, sampling distributions, techniques of estimation, and an introduction to hypothesis testing.
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3.00 Credits
This course in regression analysis begins with simple linear regression, associated one-way analysis of variance tables, and diagnostic measures. It continues with more complicated regression models including general regression models, multiple regression, generalized linear models and a brief introduction to nonlinear estimation.
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3.00 Credits
This course introduces students to the career of actuarial science. Actuaries will be invited to give guest lectures on their careers. This course will prepare students to take the first professional actuarial test. This exam covers insurance applications that utilize calculus and statistics.
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3.00 Credits
This course will focus on a specific topic in Statistics suitable for advanced students. The content will vary from semester to semester according to interests of the students and faculty. Students may repeat this course up to three times for different topics.
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3.00 Credits
This course emphasizes statistical inference and presents basic concepts through intuitive approaches. It stresses applications and includes sampling variance, nonparametric tests of hypotheses, multiple and partial correlation, multiple regression analysis, analysis of variance, and experimental design.
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3.00 Credits
This course provides a further study of statistical inference. It re-introduces content from an introductory statistics course and develops the content in theory further. It adds an in-depth look at several statistical methods from introductory courses and introduces Bayes estimation and testing.
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3.00 Credits
This course initiates the professional development of each technology education student. Activities will afford each student the opportunity to become well grounded in the philosophy, theory and practice of technology education curriculum and pedagogy. Following extensive modeling activities within a campus-based classroom/laboratory environment, all students will participate in similar activities at selected K-12 schools for 15 hours of field experience.
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3.00 Credits
This course is intended to promote the competencies, skills and sensibilities needed for the successful development and realization of contemporary products. A design/problem-solving model will include elements of design and appearance, ergonomics, idea modeling, anthropometrics, form, function and visualization. These elements will be coupled with basic engineering drawing skills, including freehand drawing, orthographic projection and basic descriptive geometry, axonometric drawings and developments. Emphasis will be placed on documentation of design work using manual drafting, CAD and freehand sketching.
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