This course will give managers, directors, and VPs the practical tools and working knowledge to assess internal and external organizational-related issues, recognize relevant data-variables, develop appropriate models, analyze competing options-scenarios, and improve the focus and scope of decision capabilities. Impact: The course covers the most practical, commonly used decision models and devotes one session to each area, with the emphasis on real-world applications for managerial decision making within a case context—with case information drawn from the instructor’s actual client files over the last 30 years of consulting. Topics:

• Expert Systems and Decision Heuristics
• Gannt Charts
• Critical Path Project Management
• Program Evaluation Review Technique (PERT)
• Multiple-Objective Goal Programming
• Maximize-Minimize Linear Programming
• Bernoulli Sequences
• Markov Analysis
• Bayes Analysis
• Decisions Under Uncertainty
• Probability Analysis and Decision Trees
• Monte Carlo Decision Simulations