Classifying a variable as a particular type of data is important when considering how to present the data. Data can be presented in a number of ways, which depends on the type of variable and the uses ...

Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

The second part in the Mathematical Foundations of Computer Science (MFCS) sequence covers mathematical topics of probability, linear algebra, multivariable calculus and basic optimization that are ...

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to performing statistical hypothesis testing.