The following introductory-level courses without prerequisites enable students to fulfill the skills requirement in quantitative reasoning (Qr) through study in a wide range of quantitative disciplines. In addition, there are a multitude of Qr courses with prerequisites (such as single-variable calculus, introductory computer programming, or introductory work in a natural or social science) that can be fulfilled through introductory-level course work or advanced placement. Students may view the complete list of Qr courses or search for Qr courses in specific departments using the Yale Course Search.
Each student will wish to select courses that match his or her interests and level of preparation. Information about expected preparation is available through links following each course’s brief description.
Please note, not all courses are offered every semester:
- ASTR 110 - Planets and Stars
- ASTR 160 - Frontiers and Controversies in Astrophysics
- ASTR 255 - Research Methods in Astrophysics
- CPSC 100 - Introduction to Computing and Programming
- ECON 108 - Qualitative Foundations of Microeconomics
- ECON 110 - An Introduction to Microeconomic Analysis
- ECON 115 - Introductory Economics: Microeconomics
- ECON 159 - Game Theory
- EDST 162 - Methods in Quantitative Sociology
- EP&E 203/PLSC 452/S&DS 102 - Introduction to Statistics: Political Science
- EP&E 209/PLSC 453/S&DS 103 - Introduction to Statistics: Social Sciences
- EP&E 295 - Game Theory and Political Science
- GLBL 121 - Applied Quantitative Analysis
- G&G 140 - Atmosphere, Ocean and Climate Change
- LING 263 - Semantics I
- MATH 108 - Estimation and Error
- MATH 110 - Introduction to Functions and Calculus I
- MATH 112 - Calculus of Functions of One Variable I
- PHIL 115 - First Order Logic
- S&DS 101 - Introductory Statistics: Life Sciences
- S&DS 105 - Introduction to Statistics: Medicine
- S&DS 106 - Introduction to Statistics: Data Analysis
- SOCY 162 - Methods in Quantitative Sociology