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Brown University



Detailed Course Information


Spring 2020
Feb 20, 2020
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CSCI 1450 - Probability for Computing and Data Analysis
Probability and statistics have become indispensable tools in computer science. Probabilistic methods and statistical reasoning play major roles in machine learning, cryptography, network security, communication protocols, web search engines, robotics, program verification, and more. This course introduces the basic concepts of probability and statistics, focusing on topics that are most useful in computer science applications. Topics include: modeling and solution in sample space, random variables, simple random processes and their probability distributions, Markov processes, limit theorems, and basic elements of Bayesian and frequentist statistical inference. Basic programming experience required for homework assignments. Students cannot get concentration credit for both CSCI1450 and APMA1650/APMA1655
1.000 Credit hours
1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Primary Meeting

Computer Science Department

Undergraduate level MATH 0090 Minimum Grade of S and Undergraduate level MATH 0100 Minimum Grade of S

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