GE Redesign: Quantitative Reasoning
The Quantitative Reasoning category engages students in the analysis and manipulation of data and information related to quantifiable objects, symbolic elements, or logic in order to help them navigate the complexity and sophistication of the modern world. All Quantitative Reasoning courses, be they formal, abstract, or empirical, are designed to increase the capacity of students to evaluate chains of formal reasoning and to assess the validity of mathematical, logical, or statistical inferences. A course in this category aims to develop one or more of three sets of skills: formal reasoning (the use of formal logic or mathematics), abstract representation (the use or construction of symbolic or diagrammatic representations), and empirical analysis (the use of statistical inference).
- Critical Thinking: Students will learn how to use a set of formal tools (e.g., logical or statistical inference, probability, or mathematical analysis) to pose and evaluate hypotheses, claims, questions, or problems within a given (formal) mode of thought.
- Logical Integrity: Students will be able to understand the logical structure of a given formal system, to distinguish between its assumptions and implications.
- Application: Students will be able to identify useful and specific applications of the formal systems they study.