The agricultural sector is increasingly gathering more data and there is a need for analytical skills that can support optimal decision making in agribusinesses. This course offers students an introduction to quantitative economic decision analysis using spreadsheets. Students will be oriented to the tools and techniques used in data-driven management science such as mathematical programming, probabilistic techniques, simulation, and forecasting. Weekly hours: 3 Lecture hoursPrerequisite(s): Successful completion of 60 credit units, including COMM 201.3. Note: Students with credit for BPBE 354 will not receive credit for this course.
The agricultural sector is increasingly gathering more data and there is a need for analytical skills that can support optimal decision making in agribusinesses. This course offers students an introduction to quantitative economic decision analysis using spreadsheets. Students will be oriented to the tools and techniques used in data-driven management science such as mathematical programming, probabilistic techniques, simulation, and forecasting. Weekly hours: 3 Lecture hoursPrerequisite(s): Successful completion of 60 credit units, including COMM 201.3. Note: Students with credit for BPBE 354 will not receive credit for this course.
