This course is designed to help first year students develop skills and habits for college success. It is also an introduction to anthropology, particularly biological anthropology- the study of human evolution, human biology, and primates. Students will learn about campus resources, share their experiences adjusting to independent college life, and explore key questions in biological anthropology, such as: What are the origins of humanity? Who are our closest living relatives? What are the implications of our biological nature?

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This course is designed to help first year students develop skills and habits for college success. It is also an introduction to anthropology, particularly biological anthropology- the study of human evolution, human biology, and primates. Students will learn about campus resources, share their experiences adjusting to independent college life, and explore key questions in biological anthropology, such as: What are the origins of humanity? Who are our closest living relatives? What are the implications of our biological nature?

Experimental organic chemistry with emphasis on underlying physical principles. Separation and purification, synthesis, analysis, and identification of organic compounds, including spectroscopy. Microscale work predominates. Emphasis on safe laboratory practices and proper disposal of wastes. Prerequisite or co-requisite: CHEM 262 or 266.

The culminating experience of the Public Health Sciences Major, this course is designed for students to synthesize and integrate their learning from previous coursework, internship, and extra-curricular activities in the discipline. Course leads to a project, presentation, initiative, or research paper that is present at the Statewide Research Conference. Class also helps develop skills in teamwork, communication and leadership. Satisfies the Integrative Experience requirement for BS-PubHlth majors.

Regression analysis is the most popularly used statistical technique with application in almost every imaginable field. The focus of this course is on a careful understanding and of regression models and associated methods of statistical inference, data analysis, interpretation of results, statistical computation and model building.

The definite integral, techniques of integration, and applications to physics, chemistry, and engineering. Sequences, series, and power series. Taylor and MacLaurin series. Prerequisite: MATH 131 or equivalent. Honors section available. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

Continuity, limits, and the derivative for algebraic, trigonometric, logarithmic, exponential, and inverse functions. Applications to physics, chemistry, and engineering. Prerequisites: high school algebra, plane geometry, trigonometry, and analytic geometry. Honors section available first semester. (Gen.Ed. R2)

[Note: Because this course presupposes knowledge of basic math skills, it will satisfy the R1 requirement upon successful completion.]

We learn how to build, use, and critique mathematical models. In modeling we translate scientific questions into mathematical language, and thereby we aim to explain the scientific phenomena under investigation. Models can be simple or very complex, easy to understand or extremely difficult to analyze. We introduce some classic models from different branches of science that serve as prototypes for all models. Student groups will be formed to investigate a modeling problem themselves and each group will report its findings to the class in a final presentation.

This is a rigorous introduction to some topics in mathematics that underlie areas in computer science and computer engineering, including: graphs and trees, spanning trees, colorings and matchings, the pigeonhole principle, induction and recursion, generating functions, and (if time permits) combinatorial geometry. The course integrates mathematical theories with applications to concrete problems from other disciplines using discrete modeling techniques.