Information System Analysis
| Numbering Code | G-INF02 53249 LE10 | Year/Term | 2022 ・ First semester | |
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| Number of Credits | 2 | Course Type | lecture and seminar | |
| Target Year | Target Student | |||
| Language | English | Day/Period | Tue.2 | |
| Instructor name |
KANDA TAKAYUKI (Graduate School of Informatics Professor) OHTE NOBUHITO (Graduate School of Informatics Professor) MATSUI HIROYUKI (Graduate School of Management Professor) YAMAUCHI YUTAKA (Graduate School of Management Professor) MA QIANG (Graduate School of Informatics Associate Professor) Drazen Brscic (Graduate School of Informatics Associate Professor) Lina Koyama (Graduate School of Informatics Associate Professor) NISHIZAWA HIDEAKI (Graduate School of Informatics Assistant Professor) |
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| Outline and Purpose of the Course |
This course introduces fundamental theories and technologies for analyzing and evaluating information and information systems. Students will learn several statistical processing methods: systems analysis, data analysis, ethnography, and machine learning. This class will be held in Japanese with support in English if needed. |
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| Course Goals | In relation to basic analysis methods for information system, you should understand the theory and the actual analytic procedure. | |||
| Schedule and Contents |
Machine Learning(5) Basic theory, Classification, Deep learning, Text analysis, and Topic analysis Statistical analysis(5) Basic Theory, Estimation and Test, Statistical model, Linear model, Data analysis environment R System Analysis(5) System analysis, System thinking, Ethnography, Service, and Culture Some contents and orders may be changed depending on the progress and school situations. |
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| Evaluation Methods and Policy | Examination is conducted to evaluate your achievement. The object of the evaluation is whether you have been able to understand the concepts and how to interpret the results about various statistical methods given in lectures. | |||
| Course Requirements |
- It is desirable to have a basic knowledge of statistics. - Please bring your laptop computer with you. In case if you have a difficulty in preparing your laptop computer, contact us in advance. |
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| Study outside of Class (preparation and review) | In addition to the classes, preparation and review outside of the class are necessary to achieve the learning goals of this subject. | |||
| Textbooks | Textbooks/References |
Each faculty member provides supporting material, e.g. by uploading to PandA. |
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| References, etc. | Some books in relation to statistics | |||
