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ANTH 220 Quantitative Reasoning for Anthropologists (3)

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.

ATMO 150 Introduction to Quantitative Earth and Environmental Science (3)

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)

BUS 250 Applied Math in Business (3)

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.

COMG 102 Everyday Communication with Numbers: A Survival Guide (3)

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

ERTH 102 Quantifying Global and Environmental Change (3)

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)

ERTH 150 Introduction to Quantitative Earth and Environmental Science (3)

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)

ICS 141 Discrete Mathematics for Computer Science I (3)

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

MATH 100 Survey of Mathematics (3)

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

MATH 112 Math for Elementary Teachers II (3)

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.

MATH 140 Precalculus: Trigonometry and Analytic Geometry (3)

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.

MATH 161 Precalculus and Elements of Calculus for Economics and the Social Sciences (3)

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.

MATH 203 Calculus for Business and Social Sciences (3)

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.

MATH 215 Applied Calculus I (4)

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.

MATH 241 Calculus I (4)

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

MATH 251A Accelerated Calculus I (4)

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.

NREM 203 Applied Calculus for Management, Life Sciences, and Human Resources (3)

(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.

OCN 150 Introduction to Quantitative Earth and Environmental Science (3)

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)

PH 210 Quantitative Reasoning for Public Health (3)

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.

PHIL 111 Introduction to Inductive Logic (3)

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

SOC 176 Introduction to Data Analysis (3)

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.

SUST 113 Quantifying Global and Environmental Change (3)

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)

UNIV 102 Using Data to Guide the Career Search (3)

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.