Director of the Quantitative Reasoning Program, Chair of the Center for Learning and Teaching, and Lecturer in Mathematics
Center For Learning/Teaching
Kanbar Hall - 301
Eric Gaze Meghan Hubacz
A quantitative reasoning supported introduction to economic analysis and institutions, with special emphasis on the allocation of resources through markets. Covers the same content as Economics 1101 with added instruction in the quantitative skills used in modern microeconomics, providing a firm foundation for further coursework in economics. Students desiring a comprehensive introduction to economic reasoning should take both this course (or Economics 1101) and 1102 . To ensure proper placement, students must fill out economics department placement form and must be recommended for placement in Economics 1050. Not open to students have taken Economics 1101.
Explores the ways and means by which we communicate with numbers; the everyday math we encounter on a regular basis. The fundamental quantitative skill set is covered in depth providing a firm foundation for further coursework in mathematics and the sciences. Topics include ratios, rates, percentages, units, descriptive statistics, linear and exponential modeling, correlation, logic, and probability. A project-based course using Microsoft Excel, emphasizing conceptual understanding and application. Reading of current newspaper articles and exercises involving personal finance are incorporated to place the mathematics in real-world context.
Eric Gaze directs the Quantitative Reasoning (QR) program at Bowdoin College, is Chair of the Center for Learning and Teaching, and is a Lecturer in the Mathematics Department. He is the current President of the National Numeracy Network (NNN 2013 – 2017), and a past chair of SIGMAA-QL (2010-12). He writes a column, Ratiocination, for the NNN website: http://serc.carleton.edu/nnn/columns.html , and has a QR textbook published with Pearson, Thinking Quantitatively: Communicating with Numbers, with blog https://thinkingquantitatively.wordpress.com/ . Eric has given talks and led workshops on the topics of QR Across the Curriculum, Creating a QR Entry Point Course, Writing with Numbers, QR Assessment, and Running a QR Program; and has served on review teams of QR programs. Eric is the Principal Investigator for a NSF TUES Type I grant (2012-14), Quantitative Literacy and Reasoning Assessment (QLRA) DUE 1140562. This collaborative project builds on Bowdoin College's QR instrument which is used for advising purposes and is available to interested schools. Prior to coming to Bowdoin, Eric led the development of a Masters in Numeracy program for K-12 teachers at Alfred University as an Associate Professor of Mathematics and Education.
Research Interests: Quantitative Reasoning Curriculum and Assessment, K-12 Mathematics Curriculum Development, Teaching and Learning Theory, Computation and Complexity Science, Data Analytics Curriculum Development
Teaching Interests: Quantitative Reasoning, Introductory Microeconomics, Data Driven Societies, Problem Solving, Excel, R, Python
Courses Being Taught: Quantitative Reasoning (MATH 1050), Data Driven Societies (DCS 2420), Introduction to Microeconomics and QR (ECON 1050 Lab)