Statistics

최종 수정일 : 2022-11-14 16:06
Statistics
캐릭터
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  • Tel : 02-901-8331
  • Office Location : ChaMirisa Memorial Building 447
  • E-Mail : statis@duksung.ac.kr
As a discipline that deals with data, statistics is used in many specialized fields. Experts in each discipline consider statistics to be an important tool for their studies and recognize it as a necessary subject for their discipline. The development of statistics has increased the amount of information they can obtain from data, and the reliability of information has increased. Attitudes of trying to understand natural or social phenomena through statistical analysis and inference from quantified data are spreading, and along with this, general recognition of the role of statistics is rapidly changing. It is an undeniable fact that statistics is deeply related to all academic research, and it can be said that the development of statistics contributes to the development of other disciplines. The limitless potential and importance of statistics lies in its purely scientific aspects as well as its connection with other literatures.
Education Objective
  • Education of statistics basics and specialized knowledge
  • Statistical analysis practical education
  • Collaboration-based communication skill education
Education Curriculum
Grade Division Subject Name Credit / Period Total Notes
First
Semester		 Second
Semester
1 Exploration Understanding Statistics 3/3 3/3 6/6 　
2 Major selection Introduction to Statistics 3/3 / 3/3 　
Statistical Software-SAS 3/3 / 3/3 　
Statistical Programming-R 3/3 / 3/3 　
Statistical Algebra 3/3 / 3/3 　
Regression Analysis / 3/3 3/3 Required Recommendation
Statistical Software-SPSS / 3/3 3/3 　
Statistical Programming-Python / 3/3 3/3 　
Exploratory Data Analysis / 3/3 3/3 　
3 Major selection Experimental Design 3/3 / 3/3 Required Recommendation
Sampling Theory 3/3 / 3/3 Required Recommendation
Mathematical Statistics 1 3/3 / 3/3 Required Recommendation
Advanced Regression Ananlysis 3/3 / 3/3 　
Data Science with R 3/3 / 3/3 　
Probability and Stochastic Process / 3/3 3/3 　
Mathematical Statistics 2 / 3/3 3/3 Required Recommendation
Categorical Data Analysis / 3/3 3/3 　
Social Science Data Analysis with SPSS / 3/3 3/3 　
Data Science with Python / 3/3 3/3 　
4 Major selection Time Series Analysis 3/3 / 3/3 　
Biostatistics 3/3 / 3/3 　
Bayesian Statistics 3/3 / 3/3 　
Multivariate and Bigdata Analysis 3/3 / 3/3 Required Recommendation
Statistical Machine Learning 3/3 / 3/3 　
Survival Analysis / 3/3 3/3 　
Data Mining / 3/3 3/3 　
Financial and Insurance Statistics / 3/3 3/3 　
Introduction to Nonparametric Inference / 3/3 3/3 　
Multivariate and Bigdata Analysis Practice(Capstone Design) / 3/3 3/3 　
Total 30 subjects 45/45 45/45 90/90