Starting with linear systems of equations, the course moves to approximation methods to solve engineering problems. Topics include vectors, lines and planes, matrices and transformations, matrix inverses, eigenvalues and determinants, solving linear systems, curve fitting and least squares, numerical integration, and numerical solutions to differential equations. MATLAB sessions teach you how to use tools for numerical analysis at the end of the semester, and applications to other courses are introduced in assignments.
Problem Solving, Memorizing, Theoretical Knowledge.
Being able to visualize the geometry makes the vector unit trivial. Make sure you understand what matrices mean, how they work, and how to construct them.
If you can reproduce the exercises from the MATLAB tutorials, the MATLAB exam should be a piece of cake.
Khan Academy videos are helpful resources for this course.