# Classes - Beard

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# Schedule & Due Dates - ECE 370

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 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 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 Homework 3
9/24 Conditioning 2.6
9/26 Independence 2.7
9/28 Summary of Discrete RV 2.8 Quiz 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 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 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 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 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 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 Homework 10
11/19 Discrete-Time Markov Chains 7.1
11/20 Classification of States 7.2