รายวิชาในหลักสูตร
01422111** Principles of Statistics 3(3-0-6)
Concept of statistics, measure of location, measure of center, measure of dispersion, probability, random variables and their probability distributions, binomial distribution, Poisson distribution, normal distribution, sampling distribution, statistical inference for one and two populations, analysis of categorical data, one-way analysis of variance, simple linear regression analysis.
01422211** Statistical Analysis 3(3-0-6)
Basic course: 01422111
Introduction to nonparametric statistics, introduction to statistical decision making, Index number, classical time series analysis and forecasting, introduction to statistical quality control.
01422221** Statistical Data Processing 3(2-2-5)
Basic course: 01422111
Data processing, statistical techniques in data processing, data collection, data preparation, data management, use of statistical packages, data presentation by graphs and tables, statistical data analysis.
01422321** Data Analysis Using Worksheet Program 3(2-2-5)
Basic course: 01422111
Worksheets, data input, functions, data and data base management, chart and graphic displays, statistical data analysis, macros.
01422341 Mathematical Statistics I 3(3-0-6)
Basic course: 01422111
Probability, conditional probability, independent events, Bayes’ theorem, random variables, probability distributions, moment and moment generating function, functions of random variables, central limit theorem, sampling distributions of statistics.
01422342 Mathematical Statistics II 3(3-0-6)
Basic course: 01422341
Point estimation, properties of point estimate, interval estimation, hypothesis testing.
01422361** Design and Analysis of Experiment I 3(3-0-6)
Basic course: 01422111
Theory of experimental design, basic experimental designs, analysis of variance, multiple comparisons, model checking, matrix approaches to analysis of variance, factorial experiment, analysis of covariance.
01422412** Introduction to Nonparametric Statistics 3(3-0-6)
Basic course: 01422111
Concepts of Nonparametric statistics, inferences for one and two populations, analysis of one-way and two-way classifications, test for independence, regression and correlation.
01422421** Computer Software in Statistics 3(2-2-5)
Basic course: 01422111
Introduction to statistical computing, data definition and data collection in statistics, statistical database management, application software in statistics, word processing, data management using electronic spread sheet, data presentation, use of computer packages for statistical analysis.
01422422* Computer Programming for Statistical Data Analysis 3(2-2-5)
Basic course: 01422111
Principle of computer programming, program utilities and functions, data preparation, data management, computer programming for statistical data analysis, output interpretation and data presentation.
01422423** Statistical Database System 3(3-0-6)
Basic course: 01422221
Database management system, statistical database design, entity-relationship model, relational data model, Structured Query Language.
01422424** Statistics and Software Package for Social Sciences 3(2-2-5)
Basic course: 01422101 or 01422111
Statistical software package for social sciences, data preparation, data management, data exploration, statistical analysis.
01422425** Statistics and Software Package for Science 3(2-2-5)
Basic course: 01422111
Introduction to statistical package, data management steps , utilities and functions of statistical package, procedure of statistical package and statistical analysis interpretation and presentation.
01422426 Big Data Analysis 3(2-2-5)
Pre: 01422111
Introduction to big data. Fundamental platform for big data. Data storage and management. Distributed file system. Cluster resource management. Data processing. Parallel programming. Additional tools in big data platform. Statistical data mining with big data. Case studies.
01422427 Introduction to Data Mining in Statistics 3(2-2-5)
Pre: 01422111
Introduction to data mining. Relation of statistics and data mining. Data preprocessing. Data mining techniques with statistical methods and machine learning. Linear regression model. Classification methods. Principal components analysis. Cluster analysis. Association rule mining. Computer software for data mining.
01422428 Statistical Approach for Artificial Neural Networks 3(3-0-6)
Pre: 01417322 and 01422111
Introduction to Artificial Neural Networks. Single layer perceptrons. Multilayer perceptrons. Convolutional neural networks. Recurrent neural networks. Radial-basis function networks. Support vector machines. Ensemble learning. Principal component analysis. Linear discriminant analysis. Self-organizing maps. Reinforcement learning.
01422433 Statistics for Bioinformatics 3(3-0-6)
Basic course: 01422111
Basic probability, Poisson process, Markov chain, analysis of DNA sequences, data analysis using software packages, estimation and hypothesis testing.
01422434 Medical Statistics 3(3-0-6)
Pre: 01422111
Medical data. Study design. Principles and epidemiologic methods. Sample size determination. Comparisons test for 2 or more groups. Categorical analysis. Correlation and multiple regression. Logistic regression. Survival analysis.
01422441 Probability Models 3(3-0-6)
Basic course: 01422341
Basic probability theories, limit theorems, Markov chains, Markov process, queuing theory.
01422442** Sample Survey Methods 3(3-0-6)
Basic course: 01422341
Sample survey, concepts of sampling, simple random sampling, systematic sampling, unequal probability sampling, stratified random sampling, cluster sampling, multi-stage sampling, parameter estimations, sample size determination, sampling errors.
01422452** Regression Analysis 3(3-0-6)
Basic course: 01422341
Linear regression models, Parameter estimation, Inferences in regression analysis, model checking, regression analysis with matrix algebra, model selection, problems in regression analysis, nonlinear regression models, using computer software in regression analysis.
01422453 Applied Forecasting Techniques 3(3-0-6)
Basic course: 01422111
Time series, forecasting models, forecasting techniques: decomposition, smoothing, regression with time series data, Box-Jenkins method, cycle forecasting, forecast errors, forecast monitoring, selection of forecasting methods, using computer software in forecasting.
01422454** Decision Analysis 3(3-0-6)
Basic course: 01422111
Concept of decision analysis, decision structures, decision making under certainty and uncertainty, decision making under risk, Bayesian analysis of decision, decision making using the normal distribution, decision making with utility, multi-stage decision making, game theory.
01422455** Data Analysis and Statistical Computing 3(3-0-6)
Basic course: 01422311 and 01422451 or 01422361 and 01422452
Graphical methods for data analysis, batch displays and summaries, processing regression analysis, process in design experiment and analysis, checking distributional assumption about data, transforming data, data analysis with nonparametric statistics, application of statistical software in data analysis.
01422456 Basic Categorical Data Analysis 3(3-0-6)
Basic course: 01422111
Categorical data, contingency tables, model for categorical data, measures of association, analysis for binary data, log linear models.
01422457** Introduction to Multivariate Analysis 3(3-0-6)
Basic course: 01422451 or 01422452
Multivariate normal distribution, transforming to normality, graphical techniques, multivariate analysis of variance, principal components analysis, factor analysis, discriminant analysis, cluster analysis.
01422458 Nonlinear Regression Analysis 3(3-0-6)
Basic course: 01422451 or 01422452
Concepts of least square regression, nonlinear, logistic, Poisson, robust, ridge and nonparametric regression, artificial neural network.
01422459* Bayesian Data Analysis 3(3-0-6)
Basic course: 01422111
Concept of Bayesian analysis, Markov chain Monte Carlo, Bayesian inference for proportion, mean, variance and the difference between means, comparing Bayesian and frequentist inferences for proportion, mean and variance, Bayesian inference for simple linear regression, Bayesian data analysis with software.
01422461 Design and Analysis of Experiment II 3(3-0-6)
Basic course: 01422361
Incomplete block design, nested design, split-plot design, repeated measures, confounded design, fractional factorial design, response surface methodology, change-over design.
01422471 Investment Statistics 3(3-0-6)
Basic course: 01422111
Interest rates, problems of interest, annuities, yield rates, loan repayment, bonds, stocks and financial instruments.
01422472** Life Actuarial Statistics 3(3-0-6)
Basic course: 01422111
Life tables, survival distribution, life insurance models, life annuity models, net premiums, gross premiums, net premium reserves, nonforfeiture value, multiple life functions, pension annuity models.
01422473** Casualty Actuarial Statistics 3(3-0-6)
Basic course: 01422111
Coverage, premiums rate making, loss reserve, risk models, risk premiums, experience rating, simulation techniques in insurance.
01422481 Statistical Quality Control 3(3-0-6)
Basic course: 01422111
Quality philosophy, probability models, inferences about process quality, statistical process control, control charts, process capability analysis, acceptance sampling.
01422482 Industrial Statistics 3(3-0-6)
Basic course: 01422111
Quality and quality systems, statistical process control, off-line and on-line quality control, acceptance sampling, quality assurance, quality improvement, industrial experimentation, reliability.
01422484** Deterministic Operations Research 3(3-0-6)
Basic course: 01417111
Concepts of operations research, optimization techniques, linear programming, simplex method, properties of dual in linear programming, transportation model, network analysis, project planning and control, scheduling, sequencing, dynamic programming.
01422485** Stochastic Operations Research 3(3-0-6)
Basic course: 01417112
Probability theory, Markov chain, Markov process, Poisson process, queueing model, inventory model, decision analysis, game theory.
01422486** Simulation in Statistics 3(3-0-6)
Basic course: 01422341
Systems and models, discrete event simulation, design of system simulation, modeling input process, random number generating and testing, random variate generation, analysis of simulation output.
01422487* Statistical reliability analysis 3(3-0-6)
Basic course: 01422341 and 01422342
Reliability function, reliability analysis based on some useful probability distributions, reliability modeling, system reliability, accelerated life testing.
01422491 Basic Research Methods in Statistics 3(3-0-6)
Principles and research methods in statistics, identification of research problems, formulation of research objectives and hypotheses, collection of data, construction of questionnaire, data analysis and interpretation, application of statistics for research, report writing and presentation.
01422496 Selected Topics in Statistics 3(3-0-6)
Selected topics in statistics at the bachelor’s degree level. Topics are subject to change in each semester.
01422497 Seminar 1
Presentation and discussion on current interesting topics in statistics at the bachelor’s degree level.
01422498 Special Problems 3
Study and research in statistics at the bachelor’s degree level and compiled into a written report.
01422499 Statistical Project 3(0-9-5)
Project of practical interest in various fields of statistics.
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01422101** Applied Statistics 3(3-0-6)
Basic concepts in statistics, variables, data and scales of measurement, frequency distribution, data presentation, measure of location, center and variability, introduction to probability, binomial distribution, normal distribution, sampling distribution, estimation, statistical hypothesis testing of one population and two populations, categorical data analysis.
01422112 Introduction to Biostatistics 3(3-0-6)
Descriptive statistics, probability, conditional probability, probability for screening diagnosis, discrete and continuous random variables, distributions of random variables, expected values, variances, sampling distribution, estimations, testing hypotheses, analysis of variance, multiple comparisons, simple linear regression analysis, vital statistics.
01422311** Applied Experimental Design 3(3-0-6)
Basic course: 01422111
Concepts of experimental design, basic experimental designs, comparisons among treatment mean, assumptions underlying the analysis of variance, factorial experiments, nested design, analysis of covariance, application of computer software in experimental data analysis.
01422401 Statistics in Behavioral Science Research I 3(2-2-5)
Roles of statistics in behavioral science research, statistical samplings, descriptive and inferential statistics, nonparametric statistics, analysis of variance, regression and correlation analysis.
01422402 Statistics in Behavioral Science Research II 3(2-2-5)
Basic course: 01422111 or 01422401
Analysis of variance, analysis of covariance, categorical data analysis, principal components analysis, factor analysis, discriminant analysis.
01422411 Statistics for Environmental Sciences 3(3-0-6)
Basic course: 01422111
Roles of statistics in environmental sciences, environmental sampling, models for data, environmental monitoring, impact assessment, time series analysis, spatial data analysis.
01422413 Statistical Analysis and Experimental Designs 3(3-0-6)
Basic course: 01422111
Principles of experimental designs, completely randomized design, randomized complete block design, Latin square design, nested design, assumptions underlying the analysis of variance, transformation of data, multifactor experiments, split-plot design, analysis of covariance.
01422414 Sampling Techniques in Social Sciences 3(3-0-6)
Basic course: 01422101 or 01422111
Sampling survey methodology, scaling methods, questionnaire design, validity and reliability, probability and nonprobability sampling, various sampling plans, errors in sample survey, applications in social sciences research.
01422415 Sampling Techniques for Natural Sciences 3(3-0-6)
Basic course: 01422111
Concepts of sampling, simple random sampling, unequal probability sampling, ratio and regression estimation, sampling from dynamic population, applications in natural sciences.
01422431** Statistics in Biological Sciences 3(3-0-6)
Basic course: 01422111
Types of biological data, sample survey methods, statistical inference for two populations, nonparametric statistics, categorical data analysis, experimental design, regression and correlation analysis, indices of diversity.
01422432 Introduction to Statistics for Bioassay 3(3-0-6)
Basic course: 01422311 or 01422361 or 01422411
Concepts and structure of bioassay, estimation of relative potency using direct and indirect bioassay, application of probit analysis to pesticide and radiation dose response studies.
01422451 Applied Regression Analysis 3(3-0-6)
Basic course: 01422111
Simple and multiple linear regression, correlation, model checking, indicator variables, model selection, nonlinear regression, using computer software in regression analysis.
01422462** Principles of Experimental Designs 3(3-0-6)
Basic course: 01422311
Fundamental concepts in the design of experiments, analysis of variance rationale, effects of failure to meet assumptions in the analysis of variance, basic experimental designs, factorial experiment, factorial confounding design, fractional factorial design, split-plot design, change-over design, incomplete block design.
01422483 Introduction to Operations Research 3(3-0-6)
Basic course: 01417111
Concepts of operations research, linear programming, simplex method, transportation model, network analysis, project planning and control, dynamic programming, inventory model, queuing model.
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