Math 2.0

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Probability Theory with Actuarial Applications 11CBSA8KJN

URIm2://res/11CBSA8KJN
Kindcourse
CreatorsNeelesh S. Upadhye (instructor)
Date2026-09-03
Scopein
Idscourse 03v0r5n49:111106929

Expressions

e1: edition

Languageen
Date2026-09-03
Contents
  • part 1: Week 1
  • session 1: W1_L1_The Language of Risk
  • session 2: W1_L2_The Art of Counting Combinatorics
  • session 3: W1_L3_Updating Beliefs Conditional Probability
  • session 4: W1_L4_Bayes' Theorem The Update Tool
  • session 5: W1_L5_Independence The Free Pass
  • part 2: Week 2
  • session 6: W2_L1_From Events to Numbers (Discrete RVs & PMF)
  • session 7: W2_L2_The Continuous World (Continuous RVs & PDF)
  • session 8: W2_L3_The "Grand Unifier'' (Cumulative Distribution Function)
  • session 9: W2_L4_The "Center of Gravity'' (Expected Value)
  • session 10: W2_L5_Functions of an RV (The Actuarial Toolkit)
  • part 3: Week 3
  • session 11: W3_L1_The "Yes/No'' World (Bernoulli & Binomial)
  • session 12: W3_L2_The "Claim Count'' Model (Poisson)
  • session 13: W3_L3_The "Waiting Time'' Model (Exponential)
  • session 14: W3_L4_The "Flexible'' Model (Gamma)
  • session 15: W3_L5_The "Everywhere" Model (Normal Distribution)
  • part 4: Week 4
  • session 16: W4_L1_Joint Distributions (Discrete PMF)
  • session 17: W4_L2_Joint Distributions (Continuous PDF)
  • session 18: W4_L3_Independence & Conditional Distributions
  • session 19: W4_L4_Covariance (Measuring Linear Relationship)
  • session 20: W4_L5_Correlation & Variance of Sums
  • part 5: Week 5
  • session 21: W5_L1_The "1D'' Transformation (The CDF Method)
  • session 22: W5_L2_The "1D'' Shortcut (Change of Variable)
  • session 23: W5_L3_The "2D'' Transformation (The Jacobian Method)
  • session 24: W5_L4_The "Aggregate Loss'' Transformation (Convolution)
  • session 25: W5_L5_The "Extreme Loss'' (Order Statistics)
  • part 6: Week 6
  • session 26: W6_L1_Conditional Expectation
  • session 27: W6_L2_The "Tower Property'' (Law of Total Expectation)
  • session 28: W6_L3_The Law of Total Variance (Eve's Law)
  • session 29: W6_L4_Conditioning Drills (Mixed Distributions)
  • session 30: W6_L5_Review (Compound vs. Mixed Models)
  • part 7: Week 7
  • session 31: W7_L1_The "Magic Tool'' (Moment-Generating Function)
  • session 32: W7_L2_The MGF "Lookup Table''
  • session 33: W7_L3_The "Payoff'' (MGF of Independent Sums)
  • session 34: W7_L4_Advanced Tools (CGFs & Compound Sum MGF)
  • session 35: W7_L5_Week 7 Review & Capstone Drill)
  • part 8: Week 8
  • session 36: W8_L1_The Problem of "Tails" (Why We Need Bounds)
  • session 37: W8_L2_The "Better'' Bound (Chebyshev's Inequality)
  • session 38: W8_L3_The Law of Large Numbers (LLN)
  • session 39: W8_L4_Other Inequalities (One-Sided Chebyshev & Jensen's)
  • session 40: W8_L5_Week 8 Review & Drills
  • part 9: Week 9
  • session 41: W9_L1_The Central Limit Theorem (CLT)
  • session 42: W9_L2_CLT Drills (Aggregate Loss Problems)
  • session 43: W9_L3_The Continuity Correction
  • session 44: W9_L4_Capstone Drill (CLT for Aggregate Losses)
  • session 45: W9_L5_The Approximation ``Decision Tree''
  • part 10: Week 10
  • session 46: W10_L1_The "Language'' of Insurance Models
  • session 47: W10_L2_Policy Feature 1 (Deductibles)
  • session 48: W10_L3_Policy Feature 2 (Policy Limits)
  • session 49: W10_L4_Capstone (Pricing a ``Policy Layer'')
  • session 50: W10_L5_Review & Introduction to Stop-Loss
  • part 11: Week 11
  • session 51: W11_L1_The "Master Formula" for Expected Aggregate Loss
  • session 52: W11_L2_The "Master Algorithm" for Var(S)
  • session 53: W11_L3_Finding Severity Moments E[Y^2] and Var(Y)
  • session 54: W11_L4_The "Master Algorithm'' Drill
  • session 55: W11_L5_Week 11 Review & Capstone Drills
  • part 12: Week 12
  • session 56: W12_L1_''The Big Picture'' Review (Part 1: The Toolkit)
  • session 57: W12_L2_''The Big Picture'' Review (Part 2: The Models)
  • session 58: W12_L3_Mock Exam Review (Part 1: Q1--10)
  • session 59: W12_L4_Mock Exam Review (Part 2: Q11--20)
  • session 60: W12_L5_Mock Exam Review (Part 3: Q21--30)

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