Mathematical Problem Solving with MATLAB

Create MATLAB code to demonstrate basic knowledge of arrays and array operations, relational and logical operators, and their use in branching statements and loops.

Analyze algorithms to solve mathematically based problems and design MATLAB code to efficiently implement these algorithms.

Analyze examples that illustrate issues related to numerical computation, including floating point representation of numbers, floating point arithmetic, and roundoff error.

Use MATLAB's random number generators to solve problems involving modeling, simulation, and probability

Use MATLAB to expand their knowledge of Precalculus and Calculus topics such as sequences and series, Taylor polynomials, numerical differentiation and integration, and root-finding techniques such as the Bisection Method and Newton's Method.

Create recursive functions in MATLAB to explore the concept of self-similarity and generate fractals such as the Sierpinski Triangle and the Koch Snowflake.