情報科学研究科Graduate School of Computer and Information Sciences
HUI500K1(人間情報学 / Human informatics 500)情報システム特別研究2A、2BSpecial Research on Information Systems 2A, 2B
馬 建華Ma JIANHUA
授業コードなどClass code etc
学部・研究科Faculty/Graduate school | 情報科学研究科Graduate School of Computer and Information Sciences |
添付ファイル名Attached documents | |
年度Year | 2024 |
授業コードClass code | TZ645 |
旧授業コードPrevious Class code | |
旧科目名Previous Class title | |
開講時期Term | |
曜日・時限Day/Period | |
科目種別Class Type | |
キャンパスCampus | 小金井 |
教室名称Classroom name | 各学部・研究科等の時間割等で確認 |
配当年次Grade | |
単位数Credit(s) | |
備考(履修条件等)Notes | |
実務経験のある教員による授業科目Class taught by instructors with practical experience | |
カテゴリーCategory |
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Outline (in English)
This course is for students to learn new technologies in information systems, especially ubiquitous computing, including ubiquitous sensing from various devices, effective data processing and so on. At least four hours must be spent each week according to university criterion policy. Overall evaluation will be based on research effort (20%), performance (30%) and output (50%).
授業で使用する言語Default language used in class
英語 / English
授業の概要と目的(何を学ぶか)Outline and objectives
Teach students fundamental and key technologies in doing research, and let them further enhancing abilities in research material searching, research problem identification, and research approach. The content will cover various sensing and processing technologies using different sensors, especially radar.
到達目標Goal
Students are able to acquire wide scope of information technology, master research methods and conduct deep research using different sensors, radar in particular.
この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか(該当授業科目と学位授与方針に明示された学習成果との関連)Which item of the diploma policy will be obtained by taking this class?
ディプロマポリシーのうち、「DP3」と「DP4」に関連
授業で使用する言語Default language used in class
英語 / English
授業の進め方と方法Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )
Students will be first assigned some papers to read to know the research fundamental and progress in a specific topic, and then further requested to search related papers to study more about this topic and make presentations. Moreover, students will be trained to identify the basic problems and key technologies around this topic. Finally, students are instructed to focus on some specific issues to do deep research. Students' problems and next improvements will be given in class.
アクティブラーニング(グループディスカッション、ディベート等)の実施Active learning in class (Group discussion, Debate.etc.)
あり / Yes
フィールドワーク(学外での実習等)の実施Fieldwork in class
なし / No
授業計画Schedule
授業形態/methods of teaching:対面/face to face
※各回の授業形態は予定です。教員の指示に従ってください。
1[対面/face to face]:Research overview
General review about research
2[対面/face to face]:Sensing and Computing
Various sensing and computing technologies
3[対面/face to face]:Sensing and Computing
Research presentation and discussion
4[対面/face to face]:Sensing and Computing
Research presentation and discussion
5[対面/face to face]:Sensing and Computing
Research presentation and discussion
6[対面/face to face]:Sensing and Computing
Research presentation and discussion
7[対面/face to face]:Sensing and Computing
Research presentation and discussion
8[対面/face to face]:Sensing and Computing
Research presentation and discussion
9[対面/face to face]:Sensing and Computing
Research presentation and discussion
10[対面/face to face]:Sensing and Computing
Research presentation and discussion
11[対面/face to face]:Sensing and Computing
Research presentation and discussion
12[対面/face to face]:Sensing and Computing
Research presentation and discussion
13[対面/face to face]:Sensing and Computing
Research presentation and discussion
14[対面/face to face]:Review of Research
Research summary and discussion
授業時間外の学習(準備学習・復習・宿題等)Work to be done outside of class (preparation, etc.)
Do research, make weekly reports, and write final report. At least four hours must be spent each week according to university criterion policy.
テキスト(教科書)Textbooks
No
参考書References
Provided by this instructor.
成績評価の方法と基準Grading criteria
Research effort (20%), performance (30%) and output (50%).
学生の意見等からの気づきChanges following student comments
N/A