Calculus Statistics Mathematical Modeling Coding
Mathematical Modeling Technology tools graphing powerful support for modeling activities. It opens up business opportunities to compare models graphically, to use regression for making and testing predictions, and to simulate processes that would be difficult or impossible to do without technology. Illustrate - effectively support the visions guidelines for assessment Provides valuable advice for making modeling an integral part of Statistics, Displaying and Describing Univariate Data, Normal Distributions, Describing Bivariate Data, Probability and Random Variables, Sampling and Experimentation, Sampling Distributions, Confidence Intervals, Hypothesis Tests. Ratings, Predictions, Simulations
Statistics Statistics Think about how technology can be used to model, analyze and explain with standards-aligned in statistics topics. Displaying and Describing Univariate Data, Normal Distributions, Describing Bivariate Data, Probability and Random Variables, Sampling and Experimentation, Sampling Distributions, Confidence Intervals, Hypothesis Tests
Calculus Support and think about technology, model, analyze and explain with standards-aligned in calculus topics. Functions, Derivatives, Applications of the Derivative, Antiderivatives and Slope Fields, Definite Integrals and Applications, Fundamental Theorem, Differential Equations, Series and Taylor Polynomials, Parametric Equations and Polar Coordinates
Explorations with Coding Integrate algorithmic thinking, provide authentic opportunities for problem solving, and enhance mathematical reasoning. With Python industry programming language. Explorations with Coding Coding with Python
