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NOC:An Introduction to Probability in Computing

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NOC:An Introduction to Probability in Computing

Validity Unlimited NOC:An Introduction to Probability in Computing All Level NOC:An Introduction to Probability in Computing English

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About This Course

Combinatorics, Probability and Computing is a peer-reviewed scientific journal in mathematics published by Cambridge University Press. Its editor-in-chief is Béla Bollobás (DPMMS and University of Memphis). The journal covers combinatorics, probability theory, and theoretical computer science. Currently, it publishes six issues annually. As with other journals from the same publisher, it follows a hybrid green/gold open access policy, in which authors may either place copies of their papers in an institutional repository after a six-month embargo period, or pay an open access charge to make their papers free to read on the journal's website.

  • NOC:An Introduction to Probability in Computing Total 5 Modules
  • NOC:An Introduction to Probability in Computing 26 Videos
  • NOC:An Introduction to Probability in Computing Downloadable on mobile
  • NOC:An Introduction to Probability in Computing Published on 01 July, 2019

Course Curriculum

Week 1

NOC:An Introduction to Probability in Computing
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    Introduction to Probability - A box of chocolates

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    Introduction to Probability - Axiomatic Approach to Probability Theory

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    Introduction to Probability - Verifying Matrix Multipilication?

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    Introduction to Probability - Verifying Matrix Multipilication

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    Introduction to Probability - How Strong is your Network

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    Introduction to Probability - How to Understand the World Play with it!

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    Tutorial 1

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    Tutorial 2

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Week 2

NOC:An Introduction to Probability in Computing
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    Discrete Random Variables - Basic Definitions

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    Discrete Random Variables - Linearity of Expectation & Jensens Inequality

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    Discrete Random Variables - Conditional Expectation I

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    Discrete Random Variables - Conditional Expectation II

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    Discrete Random Variables - Geometric Random Variables & Collecting Coupons

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    Discrete Random Variables - Randomized Selection

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Week 3

NOC:An Introduction to Probability in Computing
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    Tail Bounds I - Markov's Inequality

    42m <?php echo  $alt; ?>
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    Tail Bounds I - Median via Sampling

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    Tail Bounds I - The Second Moment,Variance & Chebyshev's Inequality

    42m <?php echo  $alt; ?>
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    Tail Bounds I - Median via Sampling - Analysis

    39m <?php echo  $alt; ?>
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    Tail Bounds I - Moment Generating Functions and Chernoff Bounds

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Week 4

NOC:An Introduction to Probability in Computing
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    Tail Bounds I - Parameter Estimation

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    Tail Bounds I - Control Group Selection

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    ?Applications of Tail Bounds - Routing in Sparse Networks

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    Applications of Tail Bounds - Analysis of Valiant's Rounting

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    Applications of Tail Bounds - Random Graphs

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Live Session

NOC:An Introduction to Probability in Computing
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    Live Session 2

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    Live Session

    42m <?php echo  $alt; ?>

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