Jeffrey M. Keisler (MBA Chicago, PhD Harvard) is Professor of Management Science & Information Systems at University of Massachusetts Boston. He was President of the INFORMS Decision Analysis Society and founding Secretary of the former Spreadsheet Research Section at INFORMS. He was named a Fellow of the Society for Risk Analysis, a Fellow of the Society for Decision Professionals, and a Fulbright Distinguished Chair. He has published nearly 90 journal articles and several books and is a long-time associate editor for several INFORMS and EURO journals. Over 30+ years in industry, government, consulting and academia, he has been applying, implementing, developing, teaching and preaching spreadsheet tools and prescriptive analytics techniques.

• 1. Modeling.- 2. Sensitivity Analysis.- 3. Indexed Sensitivity Analysis.- 4. Scenario Analysis.- 5. Simulation Analysis.- 6. Customized Input Distributions.- 7. Decision Analysis – Expected Value Maximization.- 8. Decision Analysis – Advanced Topic.- 9. Optimization: Decisions With Constraints.- 10. Optimization: Excel Solver.- 11. Epilogue.

Jeffrey M. Keisler (MBA Chicago, PhD Harvard) is Professor of Management Science & Information Systems at University of Massachusetts Boston. He was President of the INFORMS Decision Analysis Society and founding Secretary of the former Spreadsheet Research Section at INFORMS. He was named a Fellow of the Society for Risk Analysis, a Fellow of the Society for Decision Professionals, and a Fulbright Distinguished Chair. He has published nearly 90 journal articles and several books and is a long-time associate editor for several INFORMS and EURO journals. Over 30+ years in industry, government, consulting and academia, he has been applying, implementing, developing, teaching and preaching spreadsheet tools and prescriptive analytics techniques.

• 1. Modeling.- 2. Sensitivity Analysis.- 3. Indexed Sensitivity Analysis.- 4. Scenario Analysis.- 5. Simulation Analysis.- 6. Customized Input Distributions.- 7. Decision Analysis – Expected Value Maximization.- 8. Decision Analysis – Advanced Topic.- 9. Optimization: Decisions With Constraints.- 10. Optimization: Excel Solver.- 11. Epilogue.

Jeffrey M. Keisler (MBA Chicago, PhD Harvard) is Professor of Management Science & Information Systems at University of Massachusetts Boston. He was President of the INFORMS Decision Analysis Society and founding Secretary of the former Spreadsheet Research Section at INFORMS. He was named a Fellow of the Society for Risk Analysis, a Fellow of the Society for Decision Professionals, and a Fulbright Distinguished Chair. He has published nearly 90 journal articles and several books and is a long-time associate editor for several INFORMS and EURO journals. Over 30+ years in industry, government, consulting and academia, he has been applying, implementing, developing, teaching and preaching spreadsheet tools and prescriptive analytics techniques.

• 1. Modeling.- 2. Sensitivity Analysis.- 3. Indexed Sensitivity Analysis.- 4. Scenario Analysis.- 5. Simulation Analysis.- 6. Customized Input Distributions.- 7. Decision Analysis – Expected Value Maximization.- 8. Decision Analysis – Advanced Topic.- 9. Optimization: Decisions With Constraints.- 10. Optimization: Excel Solver.- 11. Epilogue.