Tip: You can find the details by clicking the course code or course name

STA1001 통계학입문

The basic concepts of Statistics in general are introduced systematically at the introductory level.

STA1002 미분적분학

This course deals with calculus as a basic mathematics necessary for statistics.

STA2102 선형대수

This course introduces the concepts and techniques of matrix algebra and explains their statistical applications. This course covers determinants, inverse matrix, eigenvalues ​​and eigenvectors, and singular-value decomposition.

STA2104 컴퓨터자료처리

Students learn computer languages ​​and data processing mainly used in Statistics through practical exercises.

STA2105 통계방법론

Students are expected to understand the basic concepts of Statistics and learn how to process real data using statistical packages such as SAS, SPSS, MINITAB, and R.

STA3101 경제통계론

This course deals with statistical analysis, analysis and analysis of economic phenomena. For example, it covers how to collect and organize population and production statistics to measure and analyze the labor force and productivity, which are symbols of economic activity Analyzing the income and expenditure of general urban workers households, analyzing the economic feasibility, examining the method of grasping the price, and discussing the method of making and analyzing the national income account

STA3102 다변량통계분석

Statistical theories used for multivariate data analysis are described. It mainly deals with principal component analysis, factor analysis, discriminant analysis, and cluster analysis.

STA3103 데이터분석 및 설계론

Discuss and practice all the processes of statistical research project from designing social survey, preparing questionnaire, collecting data, inputting and analyzing data, making report, presentation.

STA3104 범주형 자료분석

This course deals with the analysis of 2-Dimentional contingency table and multi-dimensional contingency table. Specifically, it conducts test of significance in 2 2 contingency table, chi-square test in IJ contingency table, matching degree of nominal data, kappa as the matching degree, matching degree of ranked data, Linear Algebraic model, estimation and verification of model in 3 - D contingency table, optimal model selection in Linear Algebraic model, logit model and logistic regression model.

STA3105 베이즈통계

This course covers Bayesian theorem, posterior distribution, prior distribution, extreme posterior distribution, Bayesian estimation and testing, secondary decision theory, and Bayesian decision theory.

STA3107 비모수통계학

Aside from the parametric test procedure where the distribution of the population is assumed, leading to test statistics distributing with t-distribution, F-distribution, or chi-square distribution, this course covers the statistical test procedure that does not assume a specific distribution of the population. Particularly, it examines the sign based test based on binomial distribution, the test of the percentile, McNemar test, and the test for the contingency table using the chi square test. Rank-based tests include Mann-Whitney test and Kruskal-Wallis Test, as well as Cochran's Q test, Quade test, Friedman test, and Kolmogorov-Smirnov tests. We also discuss the comparison with the parametric test.

STA3108 생존분석

We introduce statistical techniques to find risk factors that affect the survival time by using regression model about survival time and estimating and testing survival time. This course deals with estimation of the survival function, Kaplan-Meier estimation, and proportional risk model of Cox and accelerated regression models.

STA3109 수리통계학(2)

This course deals with limiting distribution including the central limit theorem, estimation, statistical hypothesis, hypothesis testing, test using non parametric methods, the statistics required for this test, sufficiency, theories required to understand statistical inference.

STA3110 시계열분석

Students learn statistical methods to analyze time series data. The identification, estimation, testing and forecasting of the ARIMA model is covered. This course also covers the basics of multivariate time series analysis.

STA3111 실험계획법

Students will learn about the basic theory of various experimental design methods such as one-way design, two-way design, factorial design, response surface analysis, conduct analysis using computer.

STA3112 응용통계학연습

This course takes more in-depth approach to topics that were covered in lower grades and covers the emerging topics in Applied Statistics.

STA3113 응용확률모형론

This course deals with various probability models based on basic probability concepts and tries to apply them in practical cases.

STA3114 이론통계학(1)

Students learn theoretical approaches to Statistics based on Mathematical Statistics.

STA3115 탐색적 자료분석

An Exploratory Data Analysis (EDA) technique to identify the structure and characteristics of data is introduced. Specifically, we introduce graphical methods for transforming data into stem-leaf and box data, scatter plot, smoothing technique, median polish, and graphical methods for multivariate data.

STA3117 통계의사결정

Students learn how to make economic and managerial decision making based on basic Statistics. Non-probability related decision making method such as Minimax, Maximin, and decision making methods using Bayesian statistics are covered.

STA3119 통계적고객관계관리기법

The objective of this course is to familiarize students with the technical and practical aspects of data mining, which is a methodology for converting customer's hidden information to knowledge based on overall understanding of CRM and technology (solution comparison).

STA3120 통계적분류방법

Statistical methods of classifying new entities and comprehending them with the attributes of the groups in which the entities are classified into are dealt in this course. This course deals with corporate default prediction model and customer credit rating model as practical application examples.

STA3121 6시그마품질경영

This course deals with statistical technique required for quality control, including sampling test, control chart and reliability analysis method for estimating the product life.

STA3122 통계학의 응용(1)

This course covers statistical theories such as sample and sample distribution, interval estimation, hypothesis testing, and nonparametric methods, and students learn how to apply them to real data.

STA3123 표본조사론

This course introduces various theories about survey method, sampling method to conduct market research, opinion survey or academic research. In addition, survey planning method, sample extraction method, estimation method of parameters and errors are introduced, along with actual examples.

STA3124 확률과정

This course deals with theories on probabilistic phenomenon such as conditional probability, concept of stochastic process, random walk, Markov chain, features and application of the Markov chain, stopping time, basic concept of Poisson process, Brownian motion, diffusion process and Martingales.

STA3125 회귀분석

We learn basic theory about simple linear regression model, multi variate linear regression model, regression diagnosis, selection of explanatory variable, and analyze actual data using statistical package.

STA3126 수리통계학(1)

This course introduces concepts of probability, probabilistic thinking, and probability Models, which form the basis of Statistics. Expectation, moment generating function, and probability distribution theory including conditional distribution theory and sample distribution is also covered.

STA3127 통계전산

Students learn theoretical background of numerical analysis and comprehend and practice efficient programming of statistical methodology.

STA4102 금융통계학

This course deals with the analysis of financial theory, including financial investment, financial risk, financial profit, and financial loss, using probability theory and Statistics.

STA4103 데이터마이닝

The purpose of this study is to learn how to extract meaningful information from large amount of data and to study the applicable case.

STA4104 이론통계학(2)

This course takes an in-depth look at statistics or probabilities theories and recently developed statistical methods that are not covered in the undergraduate courses.

STA4105 이론통계학연습

This course takes a more detailed approach to topics that were dealt lower grades, and also covers the emerging topics in the field of theoretical statistics.

STA4106 인구통계론

This course deals with statistical analysis of various phenomena related to population. Students comprehend the demographic structure, demographic process of death, birth, marriage and mobility, and the conditions and forecasting methods for setting various population models.

STA4107 전사적품질경영

This course deals with leadership, strategic planning, information system, human resource management, customer satisfaction, process management, and management performance evaluation as an introduction to quality management and environmental management which are important in modern corporate management.

STA4108 통계학의 응용(2)

This course deals with the application of statistical estimation and test, correlation and regression analysis, variance analysis, contingency table analysis, and basic multivariate analysis to actual data. This course also deals with statistical simulation methodology.

STA4109 통계자료분석

Students learn how to analyze real data using statistical packages such as SAS, SPSS, BMDP, and MINITAB. The emphasis is on the composition of the problem, the assumptions of the statistical model, and the analysis of the results rather than the use of the statistical package itself.

STA4111 보험통계

This course covers survival distribution, life tables, life insurance, interest theory, basic pensions and general pensions, survivor pensions, and net premiums.

STA4112 보험통계(2)

This course is an advanced course of statistics for insurance and takes in-depth approach to theories applied in field of insurance.