Achieve basic quantitative literacy and to familiarize them with statistical reasoning so that they are prepared to carry out anthropological (and other social science) research. A-F only.

Introduction to pre-calculus math and physics applied to Earth and environmental science. Students work on real-world problems and engage in participatory learning. Preparatory for classes in calculus and physics. Pre: MATH 134, 161, or MATH assessment exam (with score required for MATH 140). (Fall only) (Crosslisted as ERTH 150 and OCN 150)

(3 Lec, 1 3-hr Lab) Introduction to statistical approaches in biology. Students will learn how to formulate hypotheses, test them quantitatively, and present results. Students will analyze biological datasets using the computer language R. A-F only. Pre: 171 or 172 or BOT 101; MATH 134 or MATH assessment exam. (Cross-listed as BOT 220)

(3 Lec, 1 3-hr Lab) Introduction to statistical approaches in biology. Students will learn how to formulate hypotheses, test them quantitatively, and present results. Students will

analyze biological datasets using the computer language R. A-F only. Pre: 101 or BIOL 171 or BIOL 172; MATH 134 or MATH assessment exam. (Cross-listed as BIOL 220)

Provides problem-solving and quantitative skills essential in business. Reviews algebra, mathematics of finance, calculus in business applications, probability, introductory statistics, and hypothesis testing. Pre: two years high school algebra.

Understanding, communicating, and evaluating quantitative information in everyday contexts. Topics include describing and interpreting data, basic statistics, and evaluating the validity of results.

Introductory mathematical approaches to quantifying key aspects of global and environmental change. Includes data analysis, graphical representation and modeling of population growth, greenhouse gas emissions and fate, sustainable resource utilization, and sea level change. A-F only. (Spring only) (Cross-listed as SUST 113)

Introduction to pre-calculus math and physics applied to Earth and environmental science. Students work on real-world problems and engage in participatory learning. Preparatory for classes in calculus and physics. Pre: MATH 134, 161, or MATH assessment exam (with score required for MATH 140). (Fall only) (Cross-listed as ATMO 150 and OCN 150)

Includes logic, sets, functions, matrices, algorithmic concepts, mathematical reasoning, recursion, counting techniques, and probability theory. Pre: MATH 215 or 241 or 251A.

Selected topics designed to acquaint nonspecialists with examples of mathematical reasoning. May not be taken for credit after 215 or higher.

Understanding, communicating, and representing mathematical ideas; problem solving; reasoning and proof; and using symbolism. Patterns and algebraic thinking, place value and decimals, geometry, and mathematical modeling. Pre: 111.

Studies trigonometric functions, analytic geometry, polar coordinates, vectors, and related topics. This course is the second part of the precalculus sequence. Credit allowed for one of 134, 135, or 140. Pre: 134, 135, or 161 or assessment exam.

Algebra review, functions with special attention to polynomial, rational, exponential, and logarithmic functions, algebra of functions, techniques of graphing, differentiation and integration of algebraic functions, applications in economics and social sciences. Credit allowed for only one of 134, 135, or 161. A-F only.

Basic concepts; differentiation and integration applications to management, finance, economics, and the social sciences. Credit allowed for at most one of 203, 215, 241, 251A. Pre: 134, 135, or 161, or assessment exam.

Basic concepts; differentiation, differential equations and integration with applications directed primarily to the life sciences. Credit allowed for at most one of 203, 215, 241, 251A. Pre: 140 or assessment exam.

Basic concepts; differentiation with applications; integration. Credit allowed for at most one of 203, 215, 241, 251A. Pre: 140 or 215 or assessment exam.

Basic concepts; differentiation with applications; integration. Compared to 241, topics are discussed in greater depth. Credit allowed for at most one of 203, 215, 241, 251A. Pre: assessment and consent, or a grade of A in 140 and consent.

(2 Lec, 1 1-hr Lab) Applications of calculus (limits, continuity, derivatives, exponential and logarithmic functions, partials, integrals) to problems in business management, social sciences, and life sciences. Applies symbolic techniques and quantitative methods in problem solving, utilizes concept of proof as a chain of inferences, and promotes development of reasoning skills and mathematical logic in bridging theory and practice. A-F only.

Introduction to pre-calculus math and physics applied to Earth and environmental science. Students work on real-world problems and engage in participatory learning. Preparatory for classes in calculus and physics. Pre: MATH 134, 161, or MATH assessment exam (with score required for MATH 140). (Fall only) (Cross-listed as ATMO 150 and ERTH 150)

Inductive and deductive reasoning; tabular, symbolic, verbal, and graphical forms of functions and relations; graphs and pictorial representations of data; interpretations of probabilistic data; surveys and statistical studies as related to public health. PH majors only. A-F only.

Introduction to the theory of arguments based on probabilities and to the theory of decision-making in the context of uncertainty. A-F only.

Basic analytic skills widely used in quantitative analysis of social science data, including descriptive statistics, rates and probability, comparison of groups, introduction to causal relationships, and application of these techniques to real life examples. A-F only.

Introductory mathematical approaches to quantifying key aspects of global and environmental change. Includes data analysis, graphical representation and modeling of population growth, greenhouse gas emissions and fate, sustainable resource utilization, and sea level change. A-F only. (Spring only) (Cross-listed as ERTH 102)

Introduction to probability and statistics; including standard deviation, calculations, and inferences about means, normal distributions, and linear correlation. Integrates occupational outlook data from O*NET to understand how to link majors with careers.