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The document contains lecture notes for BCS301: Mathematics for Computer Science, focusing on joint probability distribution and Markov chains. It covers topics such as joint probability functions, independent random variables, expectation, variance, covariance, and correlation, along with detailed explanations and examples. The syllabus includes definitions and properties of stochastic processes, probability vectors, and Markov chains, along with exercises and solutions.

Author

saiaayushsnaik

Language

EN