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core courses |
PSF 600 |
THESIS GUIDANCE |
In this course, students will write a thesis under the guidance of a thesis supervisor. |
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PSF 601 |
STATISTICAL METHODS |
This course introduces various statistical methods for data analysis including inference and hypothesis testing for statistical models, correlation analysis, regression analysis, ANOVA, and categorical data analysis. |
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PSF 603 |
SAMPLING TECHNIQUES |
This course covers the fundamental principles of sampling surveys, optimal sampling methods that minimize sampling error through design procedures. It also examines the causes of non-sampling errors and methods to control for them. |
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PSF 700 |
SEMINAR ON THESIS |
This course will help students choose a thesis topic and utilize literatures. |
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major courses |
PSF 612 |
STATISTICAL COMPUTING METHODS |
This course introduces and provides how to analyze data using the statistical software packages such as SAS and SPSS. |
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PSF 614 |
REGRESSION ANALYSIS |
This course covers the inference and diagnosis of linear regression models, multicollinearity problems, variable selection methods, and non-linear regression. |
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PSF 615 |
STATISTICAL METHODS FOR LINEAR MODEL |
This course introduces ANOVA, ANCOVA, GLM, related design and analytic methods of experiments. |
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PSF 616 |
STATISTCAL FORECATING METHODS |
Through this course, students will be introduced to statistical forecasting methods for time series data including regression analysis, smoothing methods, ARIMA, and spectral analysis. |
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PSF 617 |
MULTIVARIATE DATA ANALYSIS |
This course covers statistical methods for multivariate data analysis, including multivariate distributions, multivariate linear models, principal component analysis, factor analysis, canonical correlation analysis, discriminant analysis, and cluster analysis. |
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PSF 621 |
BUSINESS STATISTICS |
This course introduces statistical methods needed for business analysis, assessment, planning, and prediction. |
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PSF 622 |
SOCIAL STATISTICS |
This course covers statistical methods needed to analyze and explain social phenomena. |
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PSF 627 |
STATISTICAL SURVEYSⅠ |
This course covers designing and utilizing surveys, developing survey questions, and identifying the causes of sampling errors and dealing with them through real life examples. |
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PSF 628 |
EXPLORATORY DATA ANALYSIS |
This course introduces techniques of exploratory data analysis (EDA) for determining data structure and characteristics. Specific topics include data cleaning and transformation, smoothing methods, graphic methods, comparisons with probability models, two-way methods, and graphic methods for multivariate data. Minitab will be used during the course. |
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PSF 629 |
DATA MINING |
Students will learn data processing and data modeling methods needed to extract information and generate knowledge. |
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PSF 630 |
STATISTICAL DATABASE |
This course introduces the construction and utilization of databases to manage and consult large sample data. The course also covers application of relational database using SQL and data processing for extracting effective information. |
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PSF 631 |
FINANCIAL STATISTICS |
This course covers basic financial mathematics including stocks, bonds, futures, and options. The course also covers financial engineering methods such as binary models, risk management, and portfolio theory. |
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PSF 632 |
TOPICS IN DATA INFORMATIONⅠ |
In this course, students will be introduced to up-to-date topics and examples of data information processing and modeling methods. |
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PSF 633 |
TOPICS IN DATA INFORMATION Ⅱ |
In this course, students will be introduced to up-to-date topics and examples of data information processing and modeling methods. |
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PSF 634 |
RESEARCH METHODSⅠ |
This is a seminar class. Major research papers on statistical methods and examples of practical application are studied and discussed. |
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PSF 635 |
RESEARCH METHODS Ⅱ |
This is a seminar class. Major research papers on statistical methods and examples of practical application are studied and discussed. |