Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Informatics and Data Science
Lecture Code KA115001 Subject Classification Specialized Education
Subject Name 一般化線形モデル(GLM)
Subject Name
Subject Name in
Generalized Linear Model
ムカイダニ ヒロアキ,ヒラカワ マコト,フクイ ケイスケ,アカセ ダイ,ヒガキ トオル,イトウ ヤスアキ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Mon5-8:ENG 111
Lesson Style Lecture Lesson Style
(More Details)
Omnibus Style in each day 
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 1 : Undergraduate Introductory
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students Third Year Students
Keywords Practical Course, Digital Transformation (DX)  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Criterion referenced
Informatics and Data Science Program
(Abilities and Skills)
・D2. Ability to develop strategies and plans for an organization based on statistical evidence by using a wide range of knowledge and skills related to data science.
Class Objectives
/Class Outline
``Generalized Linear Model (GLM)'' is replaced by ``Information Processing and Industry''.

In this course, we invite practitioners/managers from seven major companies in local,
and summarizes the current progress and practical examples in computer science, data
science and intelligence science, which are demanded in industry and society. We discuss
the accelerated digital transformation (DX) performed in industry and learn how to utilize
the knowledge and skill acquired in the university courses to the industry.  
Class Schedule Lesson 1: 4/11 (Monday):Guidance
Lessons 2 & 3: 4/18 (Monday):Mazda Inc., ``Digital revolution in automobile industry''
Lessons 4 & 5: 4/25(Monday):Micron Memory Japan, K.K., ``Current and future technologies, industry and society viewed from semiconductor manufacturer''
Lessons 6 & 7: 5/9(Monday):JFE Steel Co., Ltd., ``Practice of data science in JFE Steel''
Lessons 8 & 9: 5/16(Monday:Hiroshima Bank/Hirogin Holdings, ``Business revolution/Challenge on DX  in regional financial institutions''
Lessons 10 & 11: 5/23(Monday):Fukken Co. Ltd., ``Advancement of digital transformation in construction consultation''
Lessons 12 & 13: 5/30(Monday):Otafuku Holdings, ``Efforts for digital transformation by Otafuku sauce''
Lessons 14 & 15: 6/6 (Monday):Fukuyama Transporting Co. Ltd., ``Prepare the digital technologies for coming logistics crisis''

Need to complete the report for each lecture.  
Text books will not be used.  
PC or AV used in
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
No preparation is required, but the review of the contents for each lecture may be needed to complete the report. Handouts may not be provided in terms of the information protection in each company, so students should take notes in each lecture.  
Grading Method All reports have to be submitted by the due dates. Students are requested to attend all lectures.  
Practical Experience Experienced  
Summary of Practical Experience and Class Contents based on it This course is given by practitioners in local industry.  
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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