Mathematical Decision Making: Predictive Models and Optimization

Offered By: The Great Courses Plus

Tags

Predictive Models Courses Data Mining Courses Data Visualization Courses Linear Regression Courses Linear Programming Courses Forecasting Courses Sensitivity Analysis Courses Time Series Forecasting Courses

Course Description

Overview

Handle complex decisions with ease and confidence using powerful mathematical concept in this course taught by an award-winning mathematician.

Syllabus

By This Professor
01: The Operations Research Superhighway
02: Forecasting with Simple Linear Regression
03: Nonlinear Trends and Multiple Regression
04: Time Series Forecasting
05: Data Mining-Exploration and Prediction
06: Data Mining for Affinity and Clustering
07: Optimization-Goals, Decisions, and Constraints
08: Linear Programming and Optimal Network Flow
09: Scheduling and Multiperiod Planning
10: Visualizing Solutions to Linear Programs
11: Solving Linear Programs in a Spreadsheet
12: Sensitivity Analysis-Trust the Answer?
13: Integer Programming-All or Nothing
14: Where Is the Efficiency Frontier?
15: Programs with Multiple Goals
16: Optimization in a Nonlinear Landscape
17: Nonlinear Models-Best Location, Best Pricing
18: Randomness, Probability, and Expectation
19: Decision Trees-Which Scenario Is Best?
20: Bayesian Analysis of New Information
21: Markov Models-How a Random Walk Evolves
22: Queuing-Why Waiting Lines Work or Fail
23: Monte Carlo Simulation for a Better Job Bid
24: Stochastic Optimization and Risk

Taught by

Scott P. Stevens

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