## Quantitative Reasoning

Last updated: June 13, 2018 at 4:21 p.m.

### Objectives

The quantitative reasoning requirement has been established to develop students' abilities to collect, summarize and analyze numerical data; to make abstract concepts operational; and to think critically about the accuracy and soundness of conclusions based on data or on mathematical models. Quantitative reasoning courses usually embed methodological training in their subject matter. These courses vary widely in the skills that are emphasized, but they usually include one or more of the following:

A. Learning to read, construct, interpret and evaluate tables, graphs and charts.

B. Developing quantitative measures of physical, behavioral or social phenomena.

C. Using mathematical models to express causal relationships and to explore the implications of changed assumptions or proposed solutions to problems in the physical or social world.

D. Collecting and organizing numerical data from archives, surveys, lab experiments or other sources.

E. Testing hypotheses using experimental or statistical controls.

F. Assessing the limitations of research, such as the reliability and validity of measures, adequacy of experimental design, sample size and quality and alternative hypotheses and interpretations.

Each Brandeis undergraduate is required to take one course from the approved list of quantitative reasoning courses. This list may change, so students should consult the most recent list of approved courses in the Course Schedule to assure that they will receive requirement credit. (Naturally, students will not be denied credit retroactively if a course taken to fulfill the requirement is later dropped from the list.)

Some courses satisfy the quantitative reasoning requirement only when they are taken with the corresponding lab.

### Courses of Instruction

BCHM 100a

BIOL 14a
Genetics and Genomics

BIOL 16a
Evolution and Biodiversity

BIOL 107a
Data Analysis and Statistics Workshop

CHEM 11a
General Chemistry I

CHEM 11b
General Chemistry II

CHEM 15a
Honors General Chemistry I

CHEM 15b
Honors General Chemistry II

COSI 29a
Discrete Structures

COSI 123a
Statistical Machine Learning

ECON 2a
A Survey of Economics

ECON 10a
Introduction to Microeconomics

ECON 83a
Statistics for Economic Analysis

ECON 135a
Industrial Organization

ECON 184b
Econometrics

FYS 71b
Exploring Dark Matter and Dark Energy in the New Universe

LGLS 138b
Science on Trial

LING 130a
Formal Semantics: Truth, Meaning, and Language

LING 160b
Mathematical Methods in Linguistics

MATH 8a
Introduction to Probability and Statistics

MATH 36a
Probability

MATH 36b
Mathematical Statistics

PHSC 2b
Introductory Astronomy

PHYS 10a
Introduction to Physical Laws and Phenomena I

PHYS 10b
Introduction to Physical Laws and Phenomena II

PHYS 11a
Introductory Physics I

PHYS 11b
Introductory Physics II

PHYS 15a

PHYS 15b

PHYS 39a

POL 52a
Basic Statistics for Social and Political Analysis

PSYC 51a
Statistics

PSYC 51aj
Statistics

PSYC 52a
Research Methods and Laboratory in Psychology

PSYC 52aj
Research Methods and Laboratory in Psychology

PSYC 140a
Statistical Analysis Software (SAS) Applications

PSYC 148a
Applied Statistical Computing in R

SOC 182a
Applied Research Methods