Courses

For courses in upcoming semesters, please see the Course Browser.

Overlay Course Component

The following courses satisfy the overlay course component of the quantitative reasoning requirement. In order to register for a course on this list, a student must first satisfy the basic skills component of the quantitative reasoning requirement by passing either the quantitative reasoning assessment or QR 140.

Note that this list is subject to change. Check individual department listings for information about when each course is offered.

  • ASTR 109 Our Place in Space and Time
  • ASTR 206 Astronomical Techniques with Laboratory
  • BISC 109 Human Biology with Laboratory
  • BISC 111 Introductory Organismal Biology with Laboratory
  • BISC 111DL Introductory Organismal Biology Discussion with Laboratory
  • BISC111T Introductory Organismal Biology with Laboratory (Tropical Island)
  • BISC 198 Statistics in the Biosciences
  • BISC 201 Ecology with Laboratory
  • CHEM 120 Intensive Introductory Chemistry with Laboratory
  • CHEM 205 Chemical Analysis and Equilibrium with Laboratory
  • CHEM 232 Physical Chemistry for the Life Sciences with Laboratory
  • CHEM 233 Physical Chemistry I with Laboratory CHEM 361 Analytical Chemistry with Laboratory
  • ECON 103/SOC 190 Introduction to Probability and Statistical Methods
  • ES 101 Introduction to Environmental Studies with Laboratory: Methods and Analysis
  • GEOS 101 Earth Processes and the Environment with Laboratory
  • MATH 101 Reasoning with Data: Elementary Applied Statistics
  • MATH 101Z Reasoning with Data: Elementary Applied Statistics with Health Applications
  • MATH 220 Probability and Elementary Statistics
  • PHIL 209 Scientific Reasoning
  • PHYS 202 Introduction to Quantum Mechanics and Thermodynamics with Laboratory
  • POL 199 Introduction to Research Methods in Political Science
  • PSYC 205 Statistics
  • PSYC 305 Seminar. Advanced Statistical Methods and SPSS
  • QR 180 Statistical Analysis of Education Issues
  • SOC 190/ECON 103 Introduction to Probability and Statistical Methods