Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program
Lecture Code WSN10132 Subject Classification Specialized Education
Subject Name 情報科学特別研究
Subject Name
(Katakana)
ジョウホウカガクトクベツケンキュウ
Subject Name in
English
Special Study on Informatics and Data Science
Instructor ANDRADE SILVA DANIEL GEORG
Instructor
(Katakana)
アンドラーデ シルバ ダニエル ゲオルグ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  Year
Days, Periods, and Classrooms (Year) Inte
Lesson Style Seminar Lesson Style
(More Details)
 
Seminar 
Credits 4.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 7 : Graduate Special Studies
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students Students of Graduate School of Advanced Science and Engineering (Master's Course)
Keywords  
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
 
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)
 
Class Objectives
/Class Outline
This course will help you acquire a wide range of skills to identify problems as well as specialized knowledge (including research ethics), experiment techniques and other skills and abilities to pursue research in the field of Informatics and Data Science. In this course, you will also receive research guidance to write your Master’s Thesis. 
Class Schedule To acquire various knowledge and skills required to pursue research in the field of your specialty, you will receive personal instruction. In this course, you will engage in a variety of activities including setting a highly specialized, concrete research goal, identifying issues to be examined, learning how to collect materials, participating in rinko sessions (where each student in turn gives a presentation about a paper on a topic of his/her specialty), learning experiment methods, analyzing experiment results, keeping up on research trends, reporting on progress, and learning how to present your research results. 
Text/Reference
Books,etc.
Advices will be given as needed in the seminar. 
PC or AV used in
Class,etc.
 
(More Details) Advices will be given as needed in the seminar. 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Advices will be given as needed in the seminar. 
Requirements  
Grading Method Your comprehensive evaluation will be based on your learning attitude since you became a first-year student, the results of your study, research and presentations, and your interim master’s thesis presentation, the content of your master’s thesis and your final master’s thesis presentation. 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other   
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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