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College of Natural Sciences

Department of Statistics

Introduction

Statistics is not only a set of tools used for organizing data but also the science of analyzing various kinds of natural, social and economic phenomena based on information contained in the data.

Statistics is an expansive discipline that encompasses areas ranging from the development of methodology for data collection and the analysis, to decision-making in many challenging problems under uncertainty. In Particular, the intensive statistical procedures are able to be applied to the complicated statistical problems which arise in diverse fields since the modern computing technology has been developed both rapidly and innovatively. We provide a quality education of Statistics including quantitative abilities, statistical knowledge, and communication skills to work on many challenging problems in the real world.

History

The Department of Statistics was founded in the College of Natural Sciences in 1981. At present, the Bachelor of Statistics consists of 7 permanent faculty members and provides Master and PhD programs. The department offers training programs balancing both the theory and the application of Statistics.

Job Fields

Recently, there has been an increasing demand for statisticians in a government, industrial laboratories, and private companies (bank, marketing and insurance companies, computer programming companies, etc.). This reflects the fact that being statistician is one of the top promising professional occupations in the 21st century.

Faculty

  • Kang, Suk-Bok, Professor

    - Catholic Univ. of Daegu, Statistical Inference

    sbkang@yu.ac.kr
  • Oh, Chang Hyuck, Professor

    - State University of New York at Buffalo, Applied Prob., Statistical computation

    choh@yu.ac.kr
  • Lee, Jea-Young, ProfessorHomepage

    - Univ. of New Mexico, Applied Statistics,Biometrics

    jlee@yu.ac.kr
  • Lee, Jiyeon, ProfessorHomepage

    - POSTECH , Applied Probability

    leejy@yu.ac.kr
  • Minjung Kwak, Associate Professor

    - University of Wisconsin - Madison

    mjkwak@yu.ac.kr
  • Kim Byungsoo, Assistant Professor

    - Seoul National Univ.

    bkim@yu.ac.kr
  • Kyungsub Lee, Assistant Professor

    - KAIST

    ksublee@yu.ac.kr

※ sorted by the position and Korean name

Curriculum

Curriculum
1-1
PRE-CALCULUS
This course contains basic properties of sequences, limit of functions, continuous functions, rational and irrational functions, transcendental functions, elementary calculus, 3-dimensional vectors, and matrices.
1-1
PROFESSIONAL ENGLISH
The aim of the course is to help students develop basic English verbal skills in real life situations. The course will be co-taught by Korean and Native English instructors. Korean instructors will provide students with basic English structure, vocabulary, and expressions, and students will be encouraged to practice speaking English utilizing basic English structures. Students will further practice expressing themselves in English with native English instructors.
1-1
PRACTICAL CHINESE(I)
This course is for students just beginning to learn Chinese. The most difficult aspect of learning Chinese is pronunciation. So, first of all, in this course students will learn how to pronounce Chinese correctly. Then, through topics of daily life conversation, students will learn the basic communication skills Chinese as well as basic grammar.
1-1
SEMINAR FOR ACADEMIC LIFE
1. Summary of the course This course is to assist university freshmen in CRM designing to adapt university life well through the instruction and counselling of supervising professor. (This course is composed of self analysis, personality type test, career research, instruction for the success of university life, career plan and direction setting, CRM designing method and CRM designing. The course should be teaching in classes of the students by supervising professor.) 2. Course objectives This course is to motivate the students before the mid term exam and provide students with self analysis, personality type test (MBTI or TCI) and career research (YAT test). Also, this course shall has a plan to instruct the students to enhance the efficiency of university life through career and time management. In addition, this course is to make a chance for the students to have practical assistance to university life by providing study method, report designing strategy and the information on academic system and various kinds of internal programs of the university. After the mid term exam, the students will be instructed to set the direction of career designing through continuous counselling of supervising professor and the students will be able to establish CRM designing and execution plan.
1-1
STATISTICS(1)
This course defines events and probabilities, conditional probabilities and independence to evaluate probabilities. Elementary probability distributions such as binomial distribution, geometric distribution, Poisson distribution, and normal distribution are also introduced. The concepts of sample distribution of the statistic and the central limit theorem are introduced. The statistical inference including estimation and hypothesis testing of the mean and the standard deviation will be discussed.
1-2
APPLIED STATISTICS
It is a lecture on statistical methods which abstract and summarize information from raw data. Descriptive statistics of which histogram, scatter plot, etc. are main issues and concepts of probability which is the basic paradigm for sample behavior, will be treated. Important concepts in statistical inference will be also covered. Based on these fundamental concepts, testing of the mean, variance and proportion, comparison of two means, correlation analysis, analysis of variance, regression analysis, categorical data analysis, time series analysis, non-parametric methods will be taught. Also students will have laboratories for real data analysis with statistical packages.
1-2
CONVERGENCE- AND INTEGRATION-BASED THINKING AND WRITING
The ability of analyzing and solving problems is emphasized as one of the conditions for survival in the 21st century and one of the core elements of creative capabilities. This course was designed to cultivate convergence- and integration-based creative capabilities, which are integrated problem-solving capabilities to collect, analyze and process knowledge and information by reinforcing the ability of analyzing and solving problems, recreate it in a synthetic fashion, and express it effectively through speech and writing. The course will help the students cultivate their synesthesia thinking and communication skills based on sympathy with other human beings, understanding of the community, and positivity or Gongseong that is sought after by Yeungnam University. Its ultimate goals are to promote the students' creative knowledge development and reinforce their writing capabilities consistently through "convergence- and integration-based thinking and writing as a problem-solving approach."
1-2
PRACTICAL CHINESE(II)
This course is for students who successfully completed Practical Chinese(I). Students should be aware of basic Chines grammar and can speak a little Chinese. This course will focus on a little more advanced grammar and expressions. Utilizing a variety of common everyday situations, students will practice what they have learned in Practical Chinese (I)
1-2
ACADEMIC ENGLISH
The aim of the course is to help students increase their fluency and accuracy in English. The course will be co-taught by Korean and Native English instructors. Korean instructors will provide students with an opportunity to practice English structure, vocabulary, and expressions, and students will be encouraged to enhance their verbal skills by actively participating in classroom activities. Students will further practice expressing themselves in English with native English instructors.
1-2
MATRICES AND DETERMINANTS
Matrix and determinant are one of the basic and powerful tools of the fields of applied mathematics. This course provides elementary theories of solving a system of linear equations, elementary operations of real vectors, basic concepts of real matrix theory and real vector spaces and their applications.
1-2
STATISTICS(2)
Based on the elementary theory of Statistics (1), statistical data analysis methods using estimation and hypothesis testing will be introduced. Main topics in statistical inference such as point estimation, confidence intervals, hypothesis testing, test statistics, rejection region, significance level, and p-value will be covered. With understanding of these fundamental concepts, testing of the mean, variance, and proportion, comparison of two means, experimental design, analysis of variance, multiple comparisons, regression analysis, correlation analysis, categorical data analysis, nonparametric method will be taught.

Contact

  • +82-53-810-2320
  • +82-53-810-4615