This course covers the fundamental concepts of probability and stochastic processes including:
sample space, conditional probability, independence, random variables, limit theorems, basic stochastic processes and Markov Chains. These concepts are widely used in science and engineering in order to describe and analyze uncertain phenomena in the real world. Our goal is to get familiar with these concepts so that we can apply them in the subsequent courses such
as Digital Image Processing, (Multimedia) Signal Processing, etc.
HRD 콘텐츠
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