- Home > Academics > Undergraduate > Department of Information Statistics

- College of Natural Science

- To train the 21st century talented individuals who can cope with the age of information
- To learn to methods for making decisions by investigating and analyzing data information
- To cultivate the ability to analyze and interpret qualities, opinions, finances, life sciences, national statistic data, etc. using computers

- To study basic courses of general information statistics such as excel and basic of internet related to basic methods to utilize computers related to data processing

- To study examples of methods to understand and read statistics that are encountered often in daily life

- To learn basic knowledge of mathematics that university students have to be equipped with

- To learn methods to use Excel to easily process calculations, data managements, chart preparations, searches, statistics analyses, etc.

- To study the contents of statistics that are officially prepared by government institutions such as population, national income, prices, etc. and the methods to prepare them

- To study the concept of probability, thinking of probability, models of probability and application problems of probability theory to consolidate the foundation of statistics

- To broaden the scope of understanding surveys of public opinions by studying not only basic concepts and processes to prepare them but also specific methods of surveys of public opinions used in major areas

- To learn concrete methods to express structural characteristics of data with box shadows, drawings of trunks and leaves and graphs such as histograms

- To attain basic knowledge required to study statistics such as basic concepts of statistics and basic processes of statistical analyses

- To learn the methods to create and analyze programs related to data using statistical packages, SAS and SPSS

- To learn the methods to prepare questionnaires methods to interview, methods to enter collected data, basic methods to collect samples, methods to statistically analyze surveyed data and methods to prepare reports in order to execute actual social surveys

- To introduce 6 sigma which is a recent method of quality management and study ways to apply it in fields

- To learn ways to understand and analyze interest, exchange rates, deals in futures, options, etc.

- To study the concepts of regression analysis to identify the relations between explanatory variables and response variables and to analyze actual data

- To learn methods of designing experiments for efficient acquisition of information and to learn methods to analyze data using acquired information, to find optimum process conditions and to perform comparative experiments

- To gain theoretical knowledge of various sampling methods, methods of assumption, sampling error, non-sampling error that are essential for various statistical surveys such as government surveys and social organization surveys, etc.?

- To study international standardization, quality assurance, quality management strategies, etc.

- To learn how to apply basic knowledge of statistics to the areas of health, medicine and environment

- To study Factor Analysis, Principal Component Analysis, Cluster Analysis that are used as data analyses in social science and natural science

- To study the reliability of products from the viewpoint of statistics. This is useful for engineering specialists who analyze systems, for design & development staff or for those who are preparing for the 1st grade quality management engineer examination

- To suggest solutions for statistical problems arising in social surveys or public opinion surveys. To study this indirectly through case studies?

- To study basic concepts of statistics such as probability distribution, the principles of statistical assumptions and tests

- To study ways to analyze and forecast time series data arranged and observed in accordance with time flow such as economic growth rate, stock price index, prices, etc.

- To study processes to find important information such as unexpected patterns, new rules, etc. from large scale data

- To study general quality management including industrial standardization that is covered by examinations for quality management engineers

- To learn diverse methods to utilize database from the viewpoint of practices in order to process and analyze data