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Cornell University Mathematics Outreach

Mirroring Cornell University's strong commitment to K-12 education and outreach, the Mathematics Department has a longstanding history of providing support for the local community, including Grades K-12 teachers and students.
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The Math Support Center Site is at:

This Moodle course is for tutors and staff of the Math Support Center.

MATH 1710 - Statistical Theory and Application in the Real World

Spring 2013. 4 credits.

Forbidden Overlap: No credit if taken after ECON 3190, ECON 3200, ECON 3210, MATH 4720, or any other upper-level course focusing on the statistical sciences (e.g., those counting toward the statistics concentration for the math major). Prerequisite: high school mathematics. No previous familiarity with computers presumed.

Introductory statistics course discussing techniques for analyzing data occurring in the real world and the mathematical and philosophical justification for these techniques. Topics include population and sample distributions, central limit theorem, statistical theories of point estimation, confidence intervals, testing hypotheses, the linear model, and the least squares estimator. The course concludes with a discussion of tests and estimates for regression and analysis of variance (if time permits). The computer is used to demonstrate some aspects of the theory, such as sampling distributions and the Central Limit Theorem. In the lab portion of the course, students learn and use computer-based methods for implementing the statistical methodology presented in the lectures.

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MATH 1106 - Calculus for the Life and Social Sciences

Spring 2013. 3 credits.

Forbidden Overlap: Students may not receive credit for both MATH 1106 and MATH 1110. Prerequisite: three years of high school mathematics (including trigonometry and logarithms) or a precalculus course (e.g., MATH 1009 or 1101). Students who plan to take more than one semester of calculus should take MATH 1110 rather than MATH 1106.

Introduction to differential and integral calculus, partial derivatives, elementary differential equations. Examples from biology and the social sciences are used.

Math 1011 is a course that parallels Math 1110. Math 1011 meets weekly to review material presented in Math 1110 lectures, to provide problem solving techniques and tips, and to help prepare for prelims. The course provides further instruction for students who need reinforcement. It is NOT meant to be a substitute for Math 1110 lectures or recitations. Everyone enrolled in Math 1110 is welcome to attend Math 1011 lectures.

Lecturer:   Mark Jauquet
Office:        214 Malott

Website: (Enroll in Math1011)