Logical and quantitative reasoning are among the fundamental ways of developing arguments and evidence in support of claims, theories, and hypotheses. These approaches utilize a combination of inductive, deductive, mathematical or statistical approaches. Courses meeting this requirement will expose students to the principles governing logical inference, the rationale behind prediction, risk, decision making, and estimation, and the fundamental mathematical principles governing physical and natural laws. Upon completing a course in this category, students should be able to do at least two (2) of the following:

Learning Goals for LQR

  1. Analyze and evaluate mathematical or logical arguments.
  2. Demonstrate an understanding of the scope and limitations of logical reasoning, including the nature of rational norms, formal languages, and logical paradoxes.
  3. Describe and assess different methods of gathering information.
  4. Demonstrate the ability to comprehend quantitative information embedded in common language and, conversely, to present quantitative information in well-written essays. 
  5. Acquire a basic understanding of the quantification of risk.
  6. Propose and validate models, as well as use them for predicting future outcomes.
  7. Formulate well-organized conclusions supported by quantitative evidence and statistical inference.

View a sample syllabus for Logic and Quantitative Reasoning