Statistics and Research Methods
Master
of Science Students are required to take one (1) research methods and
one (1) statistics course.
Ph.D students
are required to take one (1) research methods course and two (2) statistics
courses. This requirement can be offset if the
student took these courses as part of their masters degree program.
Statistics
BAEN
662 Statistical Methods in Biological and Agricultural Engineering. (3-0). Credit 3. Statistical methods applied to problems in biological
and agricultural engineering; parameter estimation; probability distribution
fitting; time-series analysis; random variable generation; uncertainty
analysis. Prerequisite: Graduate classification.
STAT
651 Statistics in Research I. (3-0). Credit 3. For graduate students
in other disciplines; non-calculus exposition of the concepts,
methods
and usage of statistical data analysis; T-tests, analysis of variance
and linear regression.
STAT
652 Statistics in Research II. (3-0). Credit 3 Continuation of STAT
651. Concepts of experimental design, individual treatment
comparisons,
randomized blocks and factorial experiments, multiple regression,
Chi-squared tests and a brief introduction to covariance, non-parametric
methods
and sample surveys.
STAT
653 Statistics in Research III. (3-0). Credit 3. Advanced topics in
ANOVA; analysis of covariance; and Regression Analysis
including
analysis of messy data; non-linear regression; logistic and weighted
regression;
diagnostics and model building; emphasis on concepts; computing
and interpretation.
Research
Methods
AGEC
607 Research Methodology. (3-0). Credit 3. Scientific method
in economic research: problem identification and selection,
hypothesis testing,
assumptions, model selection, data communication; evaluation
of research studies and development of thesis prospectus
or equivalent.
BAEN
662 Statistical Methods in Biological and Agricultural Engineering. (3-0) Credit 3. Statistical methods applied to
problems in biological
and agricultural engineering; parameter estimation; probability
distribution fitting; time series analysis; random variable
generation, uncertainty
analysis.
BUSH
631 Quantitative Methods in Public Management I. (3-0). Credit 3.
Introduction to the common methods for
social and
policy analysis
with a focus on application of methods such as analysis
of variance and regression, to tasks including policy
analysis, evaluation
and survey
research; emphasis on the performance of social and policy
analysis, although some statistical theory is introduced.
BUSH
632 Quantitative Methods in Public Management II. (3-0). Credit 3.
Numerous formal aspects and methods
of decision-making
useful
in public management including benefit-cost analysis,
program evaluation and survey
sampling; emphasis on theoretical foundation and practical
application; collection and analysis of information,
formulation of results
and presentation of conclusions.
CVEN
661 Research Methods for Engineers. (3-0) Credit 3. Develop research
skills in the scientific method
as a process
of
developing new knowledge
by testing theory with data in the field of engineering;
evaluation of the products of research; preparation
of research proposals;
practice in the written and oral communication of
research results.
GEOG
611 Geographical Research Design. (3-0). Credit 3.Methods, techniques
and conceptual models for the
conception, design,
planning and conduct
of geographical research.
SOCI
623 Measurement of Sociological Parameters. (3-0). Credit 3.Sociological
research including
scaling, scale
analysis and
experimental design.
EPSY
636 Techniques of Research. (3-0). Credit 3. Fundamental concepts
and tools of research
applied to psychological
and educational problems;
rationale of research, analysis of problems,
library skills, sampling, appraisal instruments, statistical
description
and inference, writing
the research report and representative research
designs.
PLAN
604 Planning Methods I. (3-0). Credit 3. Fundamental concepts
and methods used
in urban
and regional research;
qualitative and quantitative research designs;
measurement and scaling;
sampling;
data collection;
data file construction; introduction to
data analysis and statistical inference.
PLAN
613 Planning Methods and Techniques. (3-0). Credit 3.Methods and techniques
of research, data
collection
and analysis; coordination
of
planning process with public policy and
plan implementation.
WFSC
609 Wildlife Research Methods. (3-0). Credit 3.Research methods applied
to wildlife
management
and related subjects.
Review of
the scientific method; research proposals
and data analysis.