Peter Luffrum is Principle Lecturer in Quantitative Methods a the University of Glamorgan.Graham Hackett is a retired Senior Lecturer at the University of Glamorgan.

• Part I: An Introduction to Business Decision Analysis:. 1. What is Business Decision Analysis?.2. Model-Building in Business Decision Analysis.3. The Components of a Mathematical Model.4. Deterministic and Stochastic Models.5. Single-attribute and Multi-attribute Problems.6. Sensitivity Analysis and Model Building.Part II: Decision Analysis:.7. Decision Trees and Payoff Matrices.8. Decision-Making under Conditions of Uncertainty.9. Decision-Making under Conditions of Risk.10. Multi-Stage Decision Problems.11. Revising Probabilities.12. Extensions.Part III: Linear Programming:.13. Formulating a Linear Programming Problem.14. Solving Linear Programming Problems Using a Graphical Method.15. Sensitivity Analysis of Solutions.16. Computer Solution of Linear Programming Problems.17. The Transportation Problem.18. The Assignment Problem.19. Linear Programming - Limitations and Extensions.Part IV: Regression Analysis:.20. Functional Relationships.21. Bi-Variate Causal Models.22. The Technique of Regression Analysis.23. Regression Models and Predictive Accuracy.24. The Analysis of Residuals.25. Confidence Intervals and Regression Analysis.26. The Multivariate Model.27. The Performance of the Multivariate Model.28. Refining the Multiple Regression Model.29. Extending Regression Analysis.Part V: Time Series Analysis:.30. Time Series: an Overview.31. Decomposition of a Time Series.32. Non-Centred Moving Averages and Forecasting Error.33. Exponential Smoothing.34. Introduction to ARIMA.Part VI: Simulation:.35. What is Simulation?.36. The Technique of Simulation.37. Refining the Simulation Model.38. Waiting Lines and Scheduling Problems.39. Inventory Problems.40. Waiting Lines: The Time Element.41. Additional Topics in Simulation.

Peter Luffrum is Principle Lecturer in Quantitative Methods a the University of Glamorgan.Graham Hackett is a retired Senior Lecturer at the University of Glamorgan.

• Part I: An Introduction to Business Decision Analysis:. 1. What is Business Decision Analysis?.2. Model-Building in Business Decision Analysis.3. The Components of a Mathematical Model.4. Deterministic and Stochastic Models.5. Single-attribute and Multi-attribute Problems.6. Sensitivity Analysis and Model Building.Part II: Decision Analysis:.7. Decision Trees and Payoff Matrices.8. Decision-Making under Conditions of Uncertainty.9. Decision-Making under Conditions of Risk.10. Multi-Stage Decision Problems.11. Revising Probabilities.12. Extensions.Part III: Linear Programming:.13. Formulating a Linear Programming Problem.14. Solving Linear Programming Problems Using a Graphical Method.15. Sensitivity Analysis of Solutions.16. Computer Solution of Linear Programming Problems.17. The Transportation Problem.18. The Assignment Problem.19. Linear Programming - Limitations and Extensions.Part IV: Regression Analysis:.20. Functional Relationships.21. Bi-Variate Causal Models.22. The Technique of Regression Analysis.23. Regression Models and Predictive Accuracy.24. The Analysis of Residuals.25. Confidence Intervals and Regression Analysis.26. The Multivariate Model.27. The Performance of the Multivariate Model.28. Refining the Multiple Regression Model.29. Extending Regression Analysis.Part V: Time Series Analysis:.30. Time Series: an Overview.31. Decomposition of a Time Series.32. Non-Centred Moving Averages and Forecasting Error.33. Exponential Smoothing.34. Introduction to ARIMA.Part VI: Simulation:.35. What is Simulation?.36. The Technique of Simulation.37. Refining the Simulation Model.38. Waiting Lines and Scheduling Problems.39. Inventory Problems.40. Waiting Lines: The Time Element.41. Additional Topics in Simulation.

Peter Luffrum is Principle Lecturer in Quantitative Methods a the University of Glamorgan.Graham Hackett is a retired Senior Lecturer at the University of Glamorgan.

• Part I: An Introduction to Business Decision Analysis:. 1. What is Business Decision Analysis?.2. Model-Building in Business Decision Analysis.3. The Components of a Mathematical Model.4. Deterministic and Stochastic Models.5. Single-attribute and Multi-attribute Problems.6. Sensitivity Analysis and Model Building.Part II: Decision Analysis:.7. Decision Trees and Payoff Matrices.8. Decision-Making under Conditions of Uncertainty.9. Decision-Making under Conditions of Risk.10. Multi-Stage Decision Problems.11. Revising Probabilities.12. Extensions.Part III: Linear Programming:.13. Formulating a Linear Programming Problem.14. Solving Linear Programming Problems Using a Graphical Method.15. Sensitivity Analysis of Solutions.16. Computer Solution of Linear Programming Problems.17. The Transportation Problem.18. The Assignment Problem.19. Linear Programming - Limitations and Extensions.Part IV: Regression Analysis:.20. Functional Relationships.21. Bi-Variate Causal Models.22. The Technique of Regression Analysis.23. Regression Models and Predictive Accuracy.24. The Analysis of Residuals.25. Confidence Intervals and Regression Analysis.26. The Multivariate Model.27. The Performance of the Multivariate Model.28. Refining the Multiple Regression Model.29. Extending Regression Analysis.Part V: Time Series Analysis:.30. Time Series: an Overview.31. Decomposition of a Time Series.32. Non-Centred Moving Averages and Forecasting Error.33. Exponential Smoothing.34. Introduction to ARIMA.Part VI: Simulation:.35. What is Simulation?.36. The Technique of Simulation.37. Refining the Simulation Model.38. Waiting Lines and Scheduling Problems.39. Inventory Problems.40. Waiting Lines: The Time Element.41. Additional Topics in Simulation.