NOC:Decision-Making Under Uncertainty


Lecture 1 - Tutorial - How to Install Octave and using Octave


Lecture 2 - Background and relevance


Lecture 3 - Examples of managing uncertainty and making decisions


Lecture 4 - Risk, uncertainty and variability


Lecture 5 - Probability: Events, Conditioning and Total Probability


Lecture 6 - Discrete random variables


Lecture 7 - Continuous random variables: characterisitcs and examples


Lecture 8 - Expected Value: Mean, Variance and Functions


Lecture 9 - Multiple Random Variables: Discrete and Continuous


Lecture 10 - Criteria, Objectives and Settings for Decisions


Lecture 11 - Introduction to one-time decisions


Lecture 12 - Solving the secretary problem


Lecture 13 - Which option to gamble just once?


Lecture 14 - Utility Function


Lecture 15 - Nested one-time decisions


Lecture 16 - Decision Trees


Lecture 17 - Decisions in Game Shows: Final Jeopardy


Lecture 18 - Decisions in Game Shows: Monte Hall


Lecture 19 - Project Network and Analysis


Lecture 20 - Newsvendor Problem: Background, Model and Analysis


Lecture 21 - Newsvendor Problem: Example and Proof


Lecture 22 - Buffers to Cushion for Fluctuations


Lecture 23 - Safety Stock for Inventories


Lecture 24 - Safety Stock: Example and Derivation


Lecture 25 - Route Planning


Lecture 26 - Exploration and Exploitation


Lecture 27 - Introduction to sequential decision making


Lecture 28 - Costs, Ratings, Options and Choices for both Restaurants


Lecture 29 - Two Stage Stochastic Optimization


Lecture 30 - Concluding Remarks and Simpson's Paradox


Lecture 31 - Markov Chains for Decisions


Lecture 32 - DTMC Modeling and Analysis


Lecture 33 - Markov Decision Process Set Up


Lecture 34 - Analyzing the four policies