PHIL 111: Introduction to Inductive Logic

Credits 3 Class Hours3 lecture

This course focuses on the role of probability. It aims to help you understand and use probabilities, statistics, and risk evaluations, and more generally to safely draw inferences when your evidence leaves you unsure as to what is true. In today’s society, we are surrounded by the media’s use of probabilities and statistics, and most academic disciplines use them to analyze and present data. This course aims to help students better understand these data, which in turn helps us to make better decisions.

Semester Offered Fall, Spring
Foundations (Quantitative Reasoning) — FQ
Course Student Learning Outcomes (CSLOs)
  1. Critically evaluate the relevance and quality of statistical data in a variety of fields.
  2. Evaluate possible and probable decisions under conditions of risk and uncertainty.
  3. Explain some of the shortcomings and strengths of employing inductive quantification models in making knowledge claims and decisions.
  4. Create simple probability models, including diagrams and basic decision tables, to solve problems.
  5. Apply basic concepts in logic, inductive inference, probability, and decision theory.