<%@LANGUAGE="JAVASCRIPT" CODEPAGE="CP_ACP"%> AGS702 -Analysis of Agricultural Systems-
 
AGS 702
Analysis of Agricultural Systems
  
  Course objective : To introduce to students the quantitative methods for agricultural systems measurement and analyses. The course equips students with concept and practices on data collection, statistical and mathematical programming methods and financial analytical method applicable to system elements and a total-system levels.  
 
Class Meeeting : T, Th, 11.00-12.00 a.m. Lecture
  Th, 13.00-15.00 p.m. Laboratory
Instructure : Sunthom Buranaviriyakul
  Jirawan Kitchaicharoen
 
 
Course Outlines:
Lecture
Lab
Week 1 - 2 Data Collection Methods of Data Collection
  • Project and Data Requirement
  • Questionnaire Design
  • Experiment
  • Rapid Rural Appraisal (RRA) and Participatory Rural Appraisal (PRA)
  • Formal field Survey
  • Questionnaire Design
  • Sampling Techniques
Week 3

Matrix Algebra Review
  • Matrix Operation
Week 4-5 Basic Linear Regression
  • Model Formulation and Regression Using Software
  • Model Formulation
  • Least Square Estimation
  • Significant Test and Prediction
  • Residual Analysis
  • Lack of Fit
  • Orthogonal Regression
Week 6 Extension of General Linear Model
  • Regression Model with Dummy Variables
  • Dummy Variables
  • Covariance Analysis
Week 7 Principle Component Analysis
  • Computation of P.C. and Interpretation of Result
  • Basic Concept
  • Estimation and Interpretation
Week 8 Cluster Analysis
  • Exercise Using Software
  • Similarity Measure
  • Methods in Grouping
Week 9 Design and Analysis
  • Exercise Using Software
  • Methods and Application
Week 10
  • Budgeting Analysis
  • Purposes and use of Budgeting Analysis
  • Methods of Enterprise, Partial and Whole Farm Budgeting
  • Depreciation and Asset Valuation
  • Budgeting Analysis Using Spread Sheet
Week 11 Other Financial Analysis
  • Financial Analysis for Selected Projects Using Software
  • Break-even Analysis
  • Payback Period
  • NPV, IRR, Benefit/cost Ratio
Week 12 Evaluation and Decision under Risk
  • Selected Price and Yield Data and Evaluate Income Risk
  • Sours of Risk and Uncertainty
  • Measurement of Risk and Financial Analysis (1) ch.9)
  • Decision Rules under Risk
Week 13 Mathematical Programming (Schrage ch.1,2,3)
  • Solve LP Problems by Simplex Tableau and by Using Software and Interpretation
  • Linear Programming Models
  • Simplex Method
Week 14 Non-Linear and Dynamic Programming
  • Formulate a Farming System with Non-linear and Dynamic in Nature
  • Concept and Models (Schrage, ch. 8,13)
Week 15 Application of Statistical, Programming and Financial Methods
  • Presentation of Students Selected Papers
  • Integration of 3 Methods in Analysis of Sustainability of an Agro-ecosystem (Hand out)
 
 
Course Evaluation : First Test 25%
  Final Examination 65%
  Laboratory 10%