Journal

　In the class of "Data-Science” of 22nd, September, I attended the online lecture of Associate professor, Mr. Himeno of Shiga University.  The topic was, "Introduction to data science".  In the class, I learned about basic skills related to data science, such as how data science is used in society, and how to analyze and visualize data for research use.

　By attending the class, I was able to understand the effective use of data science.  I was particularly interested in the topic because I can adopt what I learned today to improve my current research project.  I will work hard on the project by making good use of the knowledge from today’s lecture.  ( 106HR  Kimura Honoka )
    

　On Thursday September 16th, a high school-university collaborative class was held in collaboration with Ehime University as a lesson of “Super Science” during the time of the school setting subject “Super Science” for the 1st and 2nd grades of science and mathematics.  Two courses in the fields of chemistry and earth science are offered to the first year students, and two courses in the fields of agriculture and mathematics are to the second year students.
　Each student joined a lecture while using their own PCs.
　The followings are the lectures.
〇1st year chemistry field   Prof. Tatsuya KUNISUE from Geodynamic Research Center
　　Title: “Endocrine disrupting chemicals”
〇1st year geoscience field  Prof. Masano KAMEYAMA from Geodynamic Research Cente
　　Title: “The planet Body Earth Planetary Physics”
〇2nd year Agriculture field  Prof. Kotaro TAKAYAMA
　　Title: “The Method for easing products of food with analyzing skills”
〇2nd year Mathematics field Prof. Takamitsu YAMAUCHI.
　　Title: “Real number and Infinistimal fraction”

　They talked about cutting-edge scientific researches and technological developments that are not usually known.  We are very interested in each content of the lecture.  I felt a lot of fun to know a lot of researches and scholarship.   ( Mikawa )
       

　On Tuesday, September 14th, the 7th period, a data science lecture was held for second-year students in the general course and science and mathematics course. In collaboration with Center for Data Science, Ehime University (CDSE), we are working to improve the quality of research on issues.

    This time, two professors from Ehime University gave lectures to us.
First, Professor Naomichi FUJIUCHI, Graduate School of Agriculture in Ehime University, gave a basic knowledge of statistical processing methods when dealing with data under the theme of "Survey on the growth of plant-grown tomatoes: comparison and modeling".
    Second, Professor Yoshihiro MIYAKE, Department of Epidemiology and Preventive Medicine of Graduate School of Medicine in Ehime University, gave a lecture on the role of data science in epidemiological research and how to analyze data under the theme of "What is epidemiological research?"

    In addition to learning how to analyze in an easy-to-understand manner, I was able to learn specifically about the roles that data science plays in the world.
I will firmly use this method in future researches.
    It was an interesting lecture, in which various information based on data and research, was obtained.  And we came to know the concrete importance of data science.　(２０４class Aya Matsumoto)
    

On August 31st (Tuesday)　the 13th program for data marketing was held online at school.
　Three people from True Data Analytics Solutions, including Deputy Director Masahiko KARASUDANI, two people from FUJI Corp. Ltd., including Chief Executive Fumikazu ONISHI, and three people from SEKI Corp. Ltd., including President Hiroshi SEKI joined us online.
　Masahiko KARASUDANI and Koshiro NOMURA from True Data Analytics Solutions Division gave us a lecture: "Explanation for Final Announcement".
Its contents are following.
　①The Outline of the implemented measures
　②Explanations of implemented measures and usage of the sales floor
　③To analyze factors on effectiveness and policies, of target products, the measures to the whole store, and target customer types using decomposition tree
　④Conclusion and Improvements in measures
　⑤How do we feel about the 7-month effort？
　Toward the final announcement, we try to summarize and explain the outline of the implemented measures and the sales floor as presentation.  After that, our analysis of the purchase data will be completed.  In early October, regarding the measures taken by the students, we will conduct factor-analysis of the whole store, target customer types, and target products using those data.  I'm looking forward to seeing how such measures taken by the students have changed its sales.  Next time, we will summarize and explain the data.

　I'm glad the measures ended safely.  Based on what I heard of this lecture, I would like to do my best to analyze them. (207 Masahiro YAMANE)