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 Crystal Hall
What sorts of questions can and should be answered using digital and computational methods? How can such methods in conjunction with data can reveal new insights and questions about the world? How do we construct models to help us better understand social phenomena? Covers topics such as data gathering, validation, analysis, and presentation, as well as statistics and programming. Provides substantive experience in digital and computational methods, and a critical lens for understanding and evaluating what computers can (and cannot) bring to the study of our world.
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)