Hiroshima University Syllabus

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Japanese
Academic Year 2024Year School/Graduate School School of Informatics and Data Science
Lecture Code KA401001 Subject Classification Specialized Education
Subject Name 卒業論文
Subject Name
(Katakana)
ソツギョウロンブン
Subject Name in
English
Graduation Thesis
Instructor MUKAIDANI HIROAKI,YANAGIHARA HIROKAZU,HAYASHI YUSUKE,FUKUSHIMA MAKOTO,EGUCHI KOJI,YAMADA HIROSHI,NAKANO KOUJI,NAGAHARA MASAAKI,SHIMA TADASHI,HIRASHIMA TSUKASA,MONDEN REI,NAKANISHI TOORU,FURUI AKIRA,TING HIAN ANN,HIRAKAWA MAKOTO,LIU SHAOYING,ANDRADE SILVA DANIEL GEORG,AIZAWA HIROAKI,ADILIN ANUARDI,NISHIMURA KOUJI,HIGAKI TORU,KANEDA KAZUFUMI,MIYAO JUNICHI,FUJITA SATOSHI,DOHI TADASHI,OKAMURA HIROYUKI,ITOU YASUAKI,KAMEI SAYAKA,RAYTCHEV BISSER ROUMENOV,KURITA TAKIO,SUMIYA TAKAHIRO,MORIMOTO YASUHIKO,KONDO TOHRU,IWAMOTO CHUZO,KITASUKA TERUAKI
Instructor
(Katakana)
ムカイダニ ヒロアキ,ヤナギハラ ヒロカズ,ハヤシ ユウスケ,フクシマ マコト,エグチ コウジ,ヤマダ ヒロシ,ナカノ コウジ,ナガハラ マサアキ,シマ タダシ,ヒラシマ ツカサ,モンデン レイ,ナカニシ トオル,フルイ アキラ,ティン ヒェン アン,ヒラカワ マコト,リュウ ショウエイ,アンドラーデ シルバ ダニエル ゲオルグ,アイザワ ヒロアキ,アディリン アヌアルディ,ニシムラ コウジ,ヒガキ トオル,カネダ カズフミ,ミヤオ ジュンイチ,フジタ サトシ,ドヒ タダシ,オカムラ ヒロユキ,イトウ ヤスアキ,カメイ サヤカ,ライチェフ ビセル ルメノフ,クリタ タキオ,スミヤ タカヒロ,モリモト ヤスヒコ,コンドウ トオル,イワモト チュウゾウ,キタスカ テルアキ
Campus Higashi-Hiroshima Semester/Term 4th-Year,  Second Semester,  Second Semester
Days, Periods, and Classrooms (2nd) Inte
Lesson Style Research Lesson Style
(More Details)
 
・Study・Seminar ・Discussion ・Oral Presentation 
Credits 3.0 Class Hours/Week   Language of Instruction B : Japanese/English
Course Level 4 : Undergraduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 02 : Information Science
Eligible Students 4 year student
Keywords ・Study・Seminar ・Discussion ・Oral Presentation 
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)
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.

(Comprehensive Abilities)
・E. Creative and logical thinking ability for analyzing practical issues and challenges in order to provide rational solutions that match social needs, as well as the capability to realize these solutions.
 
Class Objectives
/Class Outline
In assigned laboratory, students carry out research along the research theme which decided individually. Specific goals are
as follows.
1. Acquire skills of making own research plan based on the research theme and carrying out research following the plan.
2. Collect research materials related to the research theme and develop the skills to understand and analyze the
positions of his or her research theme in the world from various aspects.
3. Acquire reading skills of research articles, especially research articles written in English.
4. Able to find the find an essential problem of research themes, analyze it, and to acquire the ability to solve the problem
(skills of finding problem, analysis and problem solving) in the process of conducting the research.
5. Able to organize the research results, and acquire the written skills to describe the significance and validity of the
results obtained coherently.
6. Able to present the research results verbally in a clear and understandable way and to acquire the skills of
discussion (presentation skills and communication skills). 
Class Schedule The research schedule is discussed with supervisor.
Graduate research guidance (research theme briefing) is carried out in the beginning of March in the previous academic year.
Students are assigned to each education courses (laboratory) in the guidance.
Research guidance is made at each laboratory afterward.
The contents vary with laboratory and theme; however, the key stages, such as themes decision, are conducted generally with the contents listed below.
1. Deciding research theme, planning of research, and starting research
Decide a research theme with advice from his/her supervisor, and make a research plan. In addition, participate in the weekly seminar and experiments in the laboratory and take tutorial from the supervisor for better understanding of the theme.
From those experiences, enable students to conduct his/her own research.
Students collect materials and literature related to the theme to understand the background of the research, and read articles in English in turns to develop reading comprehensive skills of professional articles and literature in English.
2. Writing graduation thesis
Student write a graduation thesis based on his/her research results.
Students are expected to write the thesis logically how the research result (data) lead to the conclusion and the importance and validity of the results.
3. Final Presentation
Students make a final presentation of his/her research results.
As same as the mid-term presentation, to make the essential points of the research clear and to be easy understanding for the audience, the resume, slides and speech should be considered carefully, and students are required to prepare for questions to answer accurately. 
Text/Reference
Books,etc.
Instructed from supervisor. 
PC or AV used in
Class,etc.
 
(More Details)  
Learning techniques to be incorporated  
Suggestions on
Preparation and
Review
Instructed from supervisor. 
Requirements Instructed from supervisor. 
Grading Method Grading is based on the comprehensive evaluation of the following:

・Activities in seminar and experiments, etc. (participation attitude, communication skills, and achievement level )
・Graduation thesis
・Final presentation of research results 
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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