Last updated: April 20, 2016 at 2:38 p.m.
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
Advanced Introductory Biochemistry
Evolution and Biodiversity
Data Analysis and Statistics Workshop
The Principles of Biological Modeling
General Chemistry I
General Chemistry II
Honors General Chemistry I
Honors General Chemistry II
Chemistry and Art
Statistical Machine Learning
A Survey of Economics
Introduction to Microeconomics
Statistics for Economic Analysis
Early Modern Europe (1500-1700)
Science on Trial
Mathematical Methods in Linguistics
Belief and Probability
Introductory Physics I
Introductory Physics II
Advanced Introductory Physics I
Advanced Introductory Physics II
Advanced Physics Laboratory
Applied Statistical Computing in R
Applied Research Methods