Subjects list by B.S. in Statistics
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)
Pre: 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)
Pre: 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)
Pre: 01422111
Worksheets. Data input. Functions. Data and database management. Chart and graphic displays. Statistical data analysis. Macros.
01422341 Mathematical Statistics I 3(3-0-6)
Pre: 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)
Pre: 01422341
Point estimation. Properties of point estimate. Interval estimation. Hypothesis testing.
01422361 Design and Analysis of Experiment I 3(3-0-6)
Pre: 01422111
Principles of experimental designs. Completely randomized design. Randomized complete block design. Latin square design. Checking model assumptions. Factorial designs. Analysis of covariance. Case studies.
01422412 Introduction to Nonparametric Statistics 3(3-0-6)
Pre: 01422111
Concepts of nonparametric statistics. Inferences for one and two populations. Inferences for more than 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)
Pre: 01422111
Introduction to statistical computing. Data definition and data collection in statistics. Statistical data management. Application software in statistics. Data presentation. Use of computer software for statistical analysis.
01422422 Computer Programming for Statistical Data Analysis 3(2-2-5)
Pre: 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)
Pre: 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)
Pre: 01422101 or 01422111
โปรแกรมสำเร็จรูปเชิงสถิติทางสังคมศาสตร์ การเตรียมข้อมูล การจัดการข้อมูล การสำรวจตรวจค้นข้อมูล การวิเคราะห์ทางสถิติ
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)
Pre: 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)
Pre: 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)
Pre: 01422341
Basic probability theories. Limit theorems. Markov chains. Markov process. Queuing theory.
01422442 Sample Survey Methods 3(3-0-6)
Pre: 01422341
Concepts of sampling. Simple random sampling. Systematic sampling. Unequal probability sampling. Stratified sampling. Cluster sampling. Multi-stage sampling. Parameter estimations. Sample size determination. Sampling errors. Case studies.
01422452 Regression Analysis 3(3-0-6)
Pre: 01422341
Linear regression model. Inferences in regression analysis. Model checking. Regression analysis with matrix algebra. Model selection. Problems in regression analysis. Nonlinear regression models. Using statistical software in regression analysis.
01422453 Applied Forecasting Techniques 3(2-2-5)
Pre: 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)
Pre: 01422111
Concept of decision analysis. Decision structures. Decision making under certainty and uncertainty. Decision making under risk. Decision making with utility. Multistage decision making. Game theory. Case studies.
01422455 Data Analysis and Statistical Computing 3(2-2-5)
Pre: 01422311 and 01422451 or 01422361 and 01422452
Exploratory data analysis and graphical method. Process in design experiment and analysis. Residual diagnostics for checking model adequacy. Processing in regression analysis. Data analysis with nonparametric statistics.
01422456 Basic Categorical Data Analysis 3(3-0-6)
Pre: 01422111
ข้อมูลจำแนกประเภท ตารางการจร ตัวแบบสำหรับข้อมูลจำแนกประเภท การวัดความเกี่ยวพัน การวิเคราะห์ข้อมูลทวิภาค ตัวแบบล็อกเชิงเส้น
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)
Pre: 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)
Pre: 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)
Pre: 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)
Pre: 01422361
Incomplete block design. Nested design. Split-plot design.
Cross-over design. Repeated measures design. Confounding. Fractional factorial design. Response surface methodology. Applications through the use of appropriate computer software. Case studies.
01422471 Investment Statistics 3(3-0-6)
Pre: 01422111
Theory of interest. Interest rate. Types of annuities. Outstanding principle. Stock and bond. Yield rate. Depreciation methods. Financial instruments.
01422472 Life Actuarial Statistics 3(3-0-6)
Pre: 01417112
Life tables. Survival distribution. Life insurance model. Life annuities model. Net premiums. Gross premiums. Net premiums reserves. Nonforfeiture value. Multiple life functions.
01422473 Casualty Actuarial Statistics 3(3-0-6)
Pre: 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)
Pre: 01422111
Quality and quality improvement. Probability models for quality control. Inferences about process quality. Statistical process control. Control charts. Process capability analysis. Acceptance sampling.
01422482 Industrial Statistics 3(3-0-6)
Pre: 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)
Pre: 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. Applications through the use of appropriate computer software.
01422485 Stochastic Operations Research 3(3-0-6)
Pre: 01422111
Probability theory. Stochastic process. Markov process. Markov chain. Poisson process. Queuing model. Inventory model. Decision analysis. Game theory.
01422486 Simulation in Statistics 3(3-0-6)
Pre: 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)
Pre: 01422341 and 01422342
Reliability function. Reliability analysis based on some useful probability distributions. Reliability modeling. System reliability. Warranty analysis. 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.
Subjects list for other field’s students
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. Testing statistical hypotheses about parameter 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)
Pre: 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. Case studies.
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)
Pre: 01422111 or 01422401
Analysis of variance. Analysis of covariance. Categorical data analysis. Principal components analysis. Factor analysis. Discriminant analysis. Case studies.
01422411 Statistics for Environmental Sciences 3(3-0-6)
Pre: 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)
Pre: 01422111
Principles of experimental designs. Completely randomized design. Randomized complete block design. Latin square design. Nested design. Factorial design. Multifactor experiments. Split-plot design. Analysis of covariance.
01422414 Sampling Techniques in Social Sciences 3(3-0-6)
Pre: 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)
Pre: 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)
Pre: 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)
Pre: 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)
Pre: 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)
Pre: 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)
Pre: 01417111
Concepts of operations research. Linear programming. Simplex method. Transportation model. Network analysis. Project planning and control. Dynamic programming. Inventory model. Queuing model.
Subjects list by other curricula
01417111 Calculus I 3(3-0-6)
Limits and continuity. Derivatives and applications. Differentials and applications. Integration and applications.
01417112 Calculus II 3(3-0-6)
Pre: 01417111
Space geometry. Partial derivatives. Multiple integrals. Elementary differential equations.
01417211 Calculus III 3(3-0-6)
Pre: 01417112
Infinite series. Vectors in 3 dimensions. Vector-valued functions. Vector calculus.
01417322 Basic Linear Algebra 3(3-0-6)
Vector spaces. Linear transformations and matrices. Systems of linear equations. Eigenvalues. Eigenvectors. Diagonalization. Applications.
01418111 Introduction to Computer Science 2(2-0-4)
Development of computers. Data representation in computers. Number systems. Computer hardware components. Computer performance metrics. System software. Compilers and programming languages. Algorithms. Database. Computer networks. Information security. Current applications of computer systems. Computer ethics.
01418112 Fundamentals Programming Concepts 3(2-2-5)
Pre: 01418111 or collaborate
Computational thinking. Logical reasoning. Problem solving. Basic program design and development. Programming tools. Structural programming techniques. Control structures. Program execution. Program tracing and debugging.
01420113 Laboratory in Physics I 1(0-3-2)
Pre: 01420111 or collaborate or 01420117 or collaborate
Laboratory for General Physics I or Basic Physics I.
01420114 Laboratory in Physics II 1(0-3-2)
Pre: 01420113 and 01420112 or collaborate or 01420118 or collaborate
Laboratory for General Physics II or Basic Physics II.
01420117 Basic Physics I 2(2-0-4)
Mechanics. Fluid mechanics. Thermodynamics. Harmonic motion.
01420118 Basic Physics II 2(2-0-4)
Pre: 01420117
Electricity. Magnetism. Electromagnetic waves. Optics. Introduction to modern physics.