Empirical and Deductive Reasoning (FD-EDR) is one of the six Foundational Disciplines that are part of the WCAS bachelor's degree.

We learn about the world in two main ways: empirically, from observations, and by making logical deductions from what we already know or conjecture. Courses in this discipline teach students to use these two modes of inference.

Empirical conclusions, derived from observations about the world, come with uncertainties or probabilities. Courses in empirical reasoning teach students to apply statistical reasoning to interpret evidence, to estimate the uncertainties inherent in their conclusions, and to build theoretical models based on data.

We also reason by deduction from axioms we take as certain, or from conjectural models of the real world. Courses in this discipline teach students both the power and limitations of such formal reasoning. Students will learn to create and analyze chains of mathematical or logical deductions, or computational algorithms.

Learning objectives for FD-EDR

Courses in Empirical and Deductive Reasoning are designed to achieve a combination of the following learning outcomes:

• Recognize empirical versus deductive modes of inference
• Articulate the power and the limitations of statistical reasoning, including the quantification of uncertainties in data
• Recognize the dangers of reasoning biases, including conclusions from anecdotal evidence, and the limits of when causal claims can be made from correlational data
• Learn to create and analyze formal models of real world phenomena
• Appreciate the power of abstraction in applying similar formal constructs to a range of different problems
• Learn to clearly and persuasively communicate both empirical and logical arguments, via writing, presentation, and graphical formats

FD-EDR Courses

Courses approved for the 2024-2025 academic year.