# Classes - Beard

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# Schedule & Due Dates - ECE 483 / ME 431

 Date Topic Reading Quiz Homework 8/27 Introduction & Sets 1.1 8/29 Probability Laws 1.2 8/31 Conditional Probability 1.3 9/5 Total Probability Law 1.4 9/7 Independence 1.5 Quiz 1 ` [[ee370homework#Homework 1|Homework 1]] |` 9/10 Counting 1.6, 1.7 9/12 Discrete Random Variables 2.1 9/14 Probability Mass Function 2.2 Quiz 2 ` [[ee370homework#Homework 2|Homework 2]] |` 9/17 Functions of Random Variables 2.3 9/19 Expectation, Mean, Variance 2.4 9/21 Joint PMFs of Multiple RVs 2.5 Quiz 3 ` [[ee370homework#Homework 3|Homework 3]] | ` 9/24 Conditioning 2.6 9/26 Independence 2.7 9/28 Summary of Discrete RV 2.8 Quiz 4 ` [[ee370homework#Homework 4|Homework 4]] | ` 10/1 Continuous Random Variables 3.1 10/3 Cumulative Distribution Fnc 3.2 10/5 Normal Random Variables 3.3 Quiz 5 ` [[ee370homework#Homework 5|Homework 5]] | ` 10/8 Joint PDFs of Multiple RVs 3.4 10/10 Conditioning 3.5 10/12 Continuous Bayes Rule 3.6 Quiz 6 ` [[ee370homework#Homework 6|Homework 6]] | ` 10/15 Summary of Cont. RVs 3.7 10/17 Derived Distributions P1, 4.1 10/19 Derived Distributions P2, 4.1 Quiz 7 ` [[ee370homework#Homework 7|Homework 7]] | ` 10/22 Derived Distributions P3, 4.1 10/24 Covariance and Correlation 4.2 10/26 Conditional Expectation 4.3 10/29 Transforms 4.4 10/31 Sums of Independent RVs 4.5 11/2 Markov and Chebyshev Inequalities 5.1 Quiz 8 ` [[ee370homework#Homework 8|Homework 8]] |` 11/5 Weak Law of Large Numbers 5.2 11/7 Convergence in Probability 5.3 11/9 Central Limit Theorem 5.4 Quiz 9 ` [[ee370homework#Homework 9|Homework 9]] |` 11/12 Strong Law of Large Numbers 5.5, 5.6 11/14 Bernoulii Process 6.1 11/16 Poisson Process 6.2, 6.3 Quiz 10 ` [[ee370homework#Homework 10|Homework 10]] |` 11/19 Discrete-Time Markov Chains 7.1 11/20 Classification of States 7.2 11/26 Steady State Behavior 7.3 11/28 Absorption Probabilities 7.4 11/30 Continuous Time Markov Chains 7.5 Quiz 1 ` [[ee370homework#Homework 11|Homework 11]] |` 12/3 Applications to Robotics 12/5 Review 12/13 Final Exam