Project description

This course will be developed as a data-driven, model-based approach to decision-making. Most applications will rely on the standard array of Excel functionality but other platforms (e.g., Access, SQL, presentation software) may be employed. A unique feature of this course will be applications drawn from the diverse program areas of the Dyson School:�management; international development/trade; environment/resource�economics;�and�food/agricultural�economics. Case material will be contributed by the companies from the DUAC. Key topics will include: Optimization (Solver), Data graphing, Financial�modeling, Ethical/social dimensions of IT,�Forecasting, Pivot tables, Exponential smoothing,�and�Simulation.�

Project aims

Project outcome