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This course examines the ways mathematics is used to help inform societal decisions; Topics include game theory, fair division of goods, apportionment of representatives, voting methods, and consumer finance. Core: MATH QR
MATH 134 Finite Math-Logic and Problem Solving (2 SH)
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The first semester of an algebra-based introductory physics sequence. This course is an introduction to classical mechanics, gravity, heat, and sound. Lectures cover the circumstances of important original discoveries and the related concepts and theories. Through laboratory experimentation and reporting, students may learn procedures by which scientists acquire and analyze data, methods by which scientists develop and evaluate theories, and criteria for effectively communicating scientific or technical findings. A major objective of this course is to equip students with a broad foundation of fundamental physical concepts and principles. Core: QR
PHYS 162 College Physics II Lecture (3 SH)
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The first semester of a calculus-based introductory physics sequence that aims to develop understanding of basic physical principles, problem-solving ability, and fluency with mathematical formulas. Topics include conservation laws, Newtonian mechanics, oscillatory motion, and relativity. Must be taken concurrently with PHYS 253. Prerequisite: MATH 154 or MATH 185. Core: QR
PHYS 253 University Physics I Lab (1 SH)
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Displays of data, measures of center and spread, correlation, normal distributions, and interpretation of statistical tests. Spreadsheets will be used throughout the course. Credit will not be given for both this course and STAT 140. Core: MATHQR, TI
STAT 133 Topics in Statistics (2 SH)
The content of this course will vary based on student and faculty interest. Possible topics include nonparametric statistics, data visualization, the statistical programming language R, and a theme-based course on a culturally relevant topic. Statistical software will likely be a large component of the course, regardless of the topic. Prerequisite: STAT 120 or instructor approval. (Spring 2024) Core: QR
STAT 140 Elementary Statistics (3 SH)
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This course examines the history, analysis, and creation of data visualizations. Students will learn to critique data visualizations ranging from the simple to the complex, and from the misleading to the powerfully informative. Opportunities to create data visualization will be presented in accordance with each student’s technical skills. CORE: MathQR, TI
STAT 160 Statistical Methods (3 SH)
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Normal and binomial distributions, confidence intervals, P-values, correlation, and one- and two-sample hypothesis tests, using statistical software. Prerequisite: STAT 120 or instructor approval. (Students wishing to take STAT 220 who have not taken STAT 120 (or an equivalent course) should work through an EMU-provided module that will acquaint them with means, standard deviation, and the standard normal distribution.) Core: MATHQR, TI
STAT 230 Regression and ANOVA (2 SH)
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