Aaron Weinberg

Aaron Weinberg

Assistant Professor

Mathematics
School of Humanities and Sciences
Graduate Study in Education

Courses

Spring 2010

  • Math 145 - Statistics for the Health, Life, and Social Sciences

The goal of this course is to give students an introduction to descriptive and inferential statistics by focusing on problems that arise in health-science-related contexts. Topics include descriptive statistical techniques; conditional probability; random variables and their distributions; statistical inference and hypothesis testing for means, proportions, and categorical variables; ANOVA; and regression analysis if time permits.

  • Math 220 - Mathematics for Childhood Education

This is a math content course for students who are preparing to teach elementary and middle school. We discuss topics in arithmetic, including place value and numeration systems, fractions and percents, and algorithms for whole-number and fraction  arithmetic. The goal of this course is to help students understand both how andwhy these algorithms work by focusing on the work of and algorithms created by children.

Course web pages can be accessed via Blackboard.

 

Past and Future Semesters

  • Math 111 - Calculus

The goal of calculus is to study the rate at which quantities change (derivatives) and the rates at which they accumulate (integrals). The class focuses equally on computation and interpretation and uses in-depth labs to explore the ways these ideas are used to solve problems in business and the sciences. 

  • Math 144 - Statistics for Business, Economics, and Management

  • Math 145 - Statistics for the Health, Life, and Social Sciences

The goal of these courses is to give students an introduction to descriptive and inferential statistics by focusing on problems that arise in business- or health-science-related contexts. Topics include descriptive statistical techniques; conditional probability; random variables and their distributions; statistical inference and hypothesis testing for means; proportions, and categorical variables; and either regression analysis or ANOVA.

  • Math 152 - What is Mathematics?

The goal of this course is to explore the nature of mathematics by using ideas from philosophy, psychology, history, and sociology, and by working on interesting mathematical problems. We investigate questions such as: What is a number? What is a straight line? Is math always true? How do people learn math? How do metaphors help us think about math? and What is the role of mathematics in our world?

  • Math 216 - Mathematical Statistics

This class explores the mathematical underpinnings of the central ideas of statistics, focusing on the ways we can draw inferences about populations based on samples. This course is designed to help students decide how to collect and organize data, how to draw inferences and make decisions based on your data, and to explore the mathematical underpinnings of the statistical theory.

  • Math 220 - Mathematics for Childhood Education

This is a math content course for students who are preparing to teach elementary and middle school. We discuss topics in arithmetic, including place value and numeration systems, fractions and percents, and algorithms for whole-number and fraction  arithmetic. The goal of this course is to help students understand both how and why these algorithms work by focusing on the work of and algorithms created by children.

  • Math 510 - Graduate Seminar in Mathematics

In this seminar, we discuss various theoretical perspectives from mathematics education literature, using each as a lens through which to view and analyze classroom practice. Topics include curricular reform, sociomathematical norms, discourse patterns, revoicing, theories of learning, intellectual necessity, representation, proof, and problem solving.

  • Student Teacher Supervision (Education 498 - Professional Semester in Education)

 

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