James M. Broda, II

Assistant Director of Quantitative Reasoning and Lecturer in Quantitative Reasoning and Mathematics

Teaching this semester

DCS 1200. Data Driven Societies

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.

MATH 1050. Quantitative Reasoning

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.

Education

  • B.A., Philosophy, University of Oklahoma
  • Ph.D., Mathematics, University of Oklahoma

Research Interests

Modelling of carbon content of ecosystems, population dynamics, catastrophes, stochastic processes, and dynamical systems in general.