Microsoft Word remote sensing-booklet doc



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Remote Sensing 2005

Reference Material: Business English by Vawdrey, Stoddard and Bell
 
 
 
4: Research Methods 
Course Structure: Lectures: 3 / 
Labs: 0 
Credit Hours: 3 
Prerequisites: None 
Course Contents:  
Introduction to Research: Definition & Nature, The Scientific Method, The 
Research Process, and Errors in Research. 
Research Design and Data Sources: Types of research and research 
designs, Primary data and its sources, Secondary data and its sources. 
Data Collection Procedures: The Measurement Process, Concepts of 
validity and reliability, The casual design procedures, Data Collection 
Methods, Observation, Documentary-Historical Method, The Survey 
Method, Data Collection Instruments: Questionnaire, Interview and 
Scheduling, Problems in Data Collection. 
Sampling: Sampling Concepts, The Sampling Procedures (Types of 
Sampling), Determining a sample size & Selection of sample 


HEC — RS&GIS Curricula 2005
 
 
 48  
Data Processing And Analysis: Basic concepts of data processing: 
Computer representation, Data Matrix, Data Storage Data Processing flow: 
Editing, Coding, Handling Blank Responses, Coding, Categorization, 
Converting, Weighting, Storing etc., Alternative processing flows, 
University data analysis, Measurement of central tendency, Measurement 
of dispersion, Hypothesis Testing, Bavaria data analysis, Linear 
Correlation, Simple Regression, The Chi-Square Test, The Cross-Tabular 
Tables, Elaboration of relationships, Multivariate data analysis: 
Interdependence Methods, Factor analysis, Cluster analysis, 
multidimensional analysis, Multivariate data analysis: Dependence 
methods, Multiple Regressions, Analysis of Variance & Covariance, 
Discriminate analysis. 
Research Project Proposal: Rationale for the study defining the problem, 
Research Objectives, Information needs, Research design, Data collection 
procedure, Data processing & analysis, Research Team and its profile, 
Budget, Time Table 
 

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