The course covers all major topics typically contained in a college-level quantitative reasoning course. It consists of three modules:
- Numeracy, which includes topics such as percentages, ratios, estimation, magnitude, interest and loans, rates, probability, proportional reasoning, relative growth, and conditional probability.
- Modeling, which includes topics such as variables, equations, graphs, tables, linear models, piecewise models, exponential models, log operations, and multivariate models.
- Statistics, which includes topics such as data visualization and interpretation, statistical analysis process, experimental designs and conclusions, parameters, interval estimates, distributions, statistical inference including Z-scores and P-values.
The corequisite materials address learning outcomes and skills typically seen in a developmental math sequence, such as algebraic reasoning and thinking.