2021 Faculty Courses School of Computing Department of Mathematical and Computing Science Graduate major in Artificial Intelligence
Forum on Artificial Intelligence S5
- Academic unit or major
- Graduate major in Artificial Intelligence
- Instructor(s)
- Masahiro Takinoue / Gregory Gutmann / Kuniaki Uto / Hiroki Ora / Norimasa Kobayashi / Sho Takase / Keisuke Yanagisawa
- Class Format
- Experiment
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-8 Wed
- Class
- -
- Course Code
- ART.U685
- Number of credits
- 001
- Course offered
- 2021
- Offered quarter
- 1-2Q
- Syllabus updated
- Jul 10, 2025
- Language
- English
Syllabus
Course overview and goals
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.
Course description and aims
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
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| 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 |
Study advice (preparation and review)
Textbook(s)
None
Reference books, course materials, etc.
There might be some handout given during the lectures.
Evaluation methods and criteria
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
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