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Курс от Dartmouth College
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Simulation for Digital Transformation
Курс от Dartmouth CollegeО курсе
Discover how to tackle complex challenges with Simulation for Digital Transformation. Learn to use Python and SimPy to model, analyze, and optimize systems, empowering you to make data-driven decisions and lead impactful digital transformation initiatives with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Master Discrete Event Simulation: Develop and implement event-driven simulation models in Python using tools like SimPy to analyze and optimize real-world systems. 2. Generate Random Variables: Apply techniques like the inversion and rejection methods to simulate uncertainty and model complex scenarios effectively. 3. Design Trustworthy Simulations: Learn how to validate, verify, and refine simulation models to ensure accurate and actionable decision-making results. 4. Optimize Complex Systems: Use simulation to efficiently improve workflows, allocate resources, and evaluate multi-objective solutions in diverse industries. 5. Bridge Predictive and Prescriptive Analytics: Leverage simulation as a tool to predict outcomes and recommend optimal strategies in dynamic environments.
Навыки, которые вы освоите
SimulationsDigital TransformationSimulation and Simulation SoftwarePredictive AnalyticsProcess OptimizationProbability DistributionDecision MakingRisk ManagementVerification And ValidationProbabilityData-Driven Decision-MakingPerformance AnalysisAnalyticsPython ProgrammingEvent-Driven ProgrammingData IntegrationProcess ModelingComplex Problem Solving
Программа курса
7 модулей · 73 учебных материалов
01Pre-Course Preparation14 материалов
Учитесь у экспертов
Reed H. Harder
Course Facilitator
Vikrant S. Vaze
Associate Professor