| Course ID: | AAEC 6630E. 3 hours. |
| Course Title: | Quantitative Methods for Agribusiness Management |
Course
Description: | Quantitative methods for agribusiness management focused on seven
topics: statistical tests, regression, forecasting, linear
programming, non-linear optimization, multi-criteria decision
making, and simulation models. These tools are introduced in
online lecture modules and then put to practical use using SAS
and Excel. |
| Oasis Title: | Quant Methods for Agribus Mgmt |
| Duplicate Credit: | Not open to students with credit in AAEC 6630 |
| Nontraditional Format: | This course will be taught 95% or more online. |
Semester Course
Offered: | Offered fall semester every year. |
| Grading System: | A-F (Traditional) |
|
| Course Objectives: | 1. A fundamental understanding of multivariate regression
analysis and forecasting techniques, including measures of model
performance and robustness, interpretation of model results, and
the consequences of model misspecifiction.
2. Familiarity with basic procedures and commands for data
management and analysis in SAS.
3. A thorough understanding of linear and non-linear
programming, multi-criteria decision analysis and simulation
models, including model design, data requirements, and
sensitivity analysis.
4. A toolbox of common statistical tests, including common
statistical tests (e.g., t-tests, ANOVA) and when and how to
use alternative tests (e.g., Wilcoxon Signed Test, Rank-Sum
Test, Welch t-test). |
| Topical Outline: | I. Common Statistics
II. Not-as-Common Statistics
III. ANOVA
IV. Multivariate Regression
V. Forecasting
VI. Linear Programming
VIII. Distribution and Network Models
IX. Integer Progrmaming
X. Non-Linear Optimization
XI. Multi-Criteria Decision Making
XII. Simulation |