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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Artificial Intelligence
- Instructor(s)
- Takinoue Masahiro Chang Shuang Gutmann Gregory Uto Kuniaki Ora Hiroki Kobayashi Norimasa Komiya Ken Yanagisawa Keisuke
- Class Format
- Media-enhanced courses
- Day/Period(Room No.)
- Wed5-8(W833,J234)
- Group
- -
- Course number
- ART.U685
- Credits
- 1
- Academic year
- 2020
- Offered quarter
- 1-2Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
In this course, students participate actively in mainly practical exercises such as research presentations, discussions, etc., acquire methods of planning, executing, and presenting research in computer science, as well as science communication and carrier development for computer science. In regards to "methods for planning, executing, and presenting research", along with acquiring methods for setting the topic, planning, executing, and evaluating research through discussions concerning one's own research presentation and the research presentation of other classmates, students learn how to summarize research presentations (presentations and articles). Furthermore, through interdisciplinary and intercultural discussions with exchange students about research, students enhance their interdisciplinary and international communication skills. With regards to "science communication and career development", students consider the role of researchers in society and careers made possible by mastering computer science.
The objective of this course is for students to acquire the skills in research methodology, research presentation, international communication, etc. that doctoral students should have acquired by the time they complete their degrees, by participating actively in the course.
Student learning outcomes
Students will acquire the following skills attending this course.
1) How to plan and conduct research in general
2) Research presentation (presentation, paper)
3) Skills discussing science, interdisciplinary and international communication skills
4) Career development and science communication
Keywords
Research planning, research execution, research presentation, research discussion, English communication
Competencies that will be developed
| Specialist skills | ✔ Intercultural skills | ✔ Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Active participation is required by students. In each class, content focused on a student's own research presentation and discussions is dealt with, so preparation in advance is required.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Description on how the course will be conducted | Will be detailed in the class |
| Class 2 | Research presentation (1) | Will be detailed in the class |
| Class 3 | Research presentation (2) | Will be detailed in the class |
| Class 4 | Research presentation (3) | Will be detailed in the class |
| Class 5 | Research presentation (4) or science communication | Will be detailed in the class |
Textbook(s)
None
Reference books, course materials, etc.
There might be some handout given during the lectures.
Assessment criteria and methods
Will be based on attendance, presentation and participation in the class. Will be detailed in the first lecture.
Related courses
- ART.U682 ： Forum on Artificial Intelligence F3
- ART.U683 ： Forum on Artificial Intelligence S4
- ART.U684 ： Forum on Artificial Intelligence F4
- ART.U685 ： Forum on Artificial Intelligence S5
- ART.U686 ： Forum on Artificial Intelligence F5
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
Other
If you were absent from the orientation of this class, please be sure to register your information by following the website (available only in campus) below:
http://local.c.titech.ac.jp/student/doku.php
