Hiroshima University Syllabus

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Academic Year School/Graduate School Lecture Code 2022Year School of Informatics and Data Science KA122001 Specialized Education 多変量解析 タヘンリョウカイセキ Multivariate Analysis SUMIYA TAKAHIRO スミヤ　タカヒロ Higashi-Hiroshima 2nd-Year,  Second Semester,  3Term (3T) Thur7-10：ENG 218 Lecture Lecture, Hands-on 2.0 J : Japanese 2 : Undergraduate Low-Intermediate 25 : Science and Technology 01 : Mathematics/Statistics 2nd degree Informatics and Data Science Program（Knowledge and Understanding）・D1. Knowledge and skills required for understanding the theoretical system of statistics and data analysis, and for precisely and efficiently analyzing qualitative/quantitative information in big data. The target of this class is to learn elementary methods on multivariate analysis, and obtain ability to apply them on real data. lesson 1: Introduction to statistical analysis software "R" (Data type and statistical functions)lesson 2: Introduction to statistical analysis software "R" (function definition and control structure)lesson 3: Analysis of variance 1 (description of method)lesson 4: Analysis of variance 2 (data analysis exercise with R)lesson 5: Regression analysis 1 (description of method)lesson 6: Regression analysis 2 (data analysis exercise with R)lesson 7: Principal components analysis 1  (description of method)lesson 8: Principal components analysis 2 (data analysis exercise with R)lesson 9: Linear discriminant analysis 1  (description of method)lesson 10: Linear discriminant analysis 2 (data analysis exercise with R)lesson 11: Cluster analysis 1  (description of method)lesson 12: Cluster analysis 2 (data analysis exercise with R)lesson 13: Visualization of multivariate datalesson 14: Exercise 1 (group work)lesson 15: Exercise 2 (presentation) Slide files on Bb9 Text, Slides, Hikkei PC Try to apply the data analysis methods on your own data, or any data you can find. assignment, short exam. We will have hands-on using "R".  Install R and RStudio ( https://speakerdeck.com/gnutar/try-r-en ) on your laptop and bring it on every week. Please fill in the class improvement questionnaire which is carried out on all classes.Instructors will reflect on your feedback and utilize the information for improving their teaching.
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