▶Japanese
Post to SNS
- Home
- > School of Computing
- > Graduate major in Artificial Intelligence
- > Forum on Artificial Intelligence F3
- School of Science
-
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
-
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 Ohue Masahito Ora Hiroki Kobayashi Norimasa Komiya Ken Nishikawa Hitoshi
- Class Format
- Media-enhanced courses
- Day/Period(Room No.)
- Wed5-8(W631,J233)
- Group
- -
- Course number
- ART.U682
- Credits
- 1
- Academic year
- 2019
- Offered quarter
- 3-4Q
- Syllabus updated
- 2019/4/3
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
This course teaches methods for planning, execution, and presentation of research in computing as well as skills for science communication and career development. Students should acquire methodologies for setting research goals, planning and conducting research, and evaluation through the presentation of their work and class discussion. Also, the students will learn writing skills of research proposals and research papers. This lecture will also foster interdisciplinary and English communication ability through discussions across different research fields, and inter-cultural experience with international students. Through interaction with different disciplines and cultures, the lecture provides students with occasions to think of the impact of their research contribution to the society and to consider their future career. This course aims to make students acquired research methodology, presentation skill, communication skill in English, which doctoral program students must have until their obtaining the degree.
Student learning outcomes
At the end of this course, students acquire the skills to
1) to plan and conduct research,
2) to present research results through oral presentation and paper writing,
3) to have a scientific discussion with interdisciplinary and international peers in English and
4) to consider their future career.
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
Attending the class is mandatory. Students are required to prepare for the presentation of their research, as the class consists of presentations and discussions. The class is scheduled every other week on Wednesday at the 5-8 slots.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction to the course | Specified in the class |
| Class 2 | Planning research | Specified in the class |
| Class 3 | Conducting research | Specified in the class |
| Class 4 | Research presentation (1) | Specified in the class |
| Class 5 | Research presentation (2) | Specified in the class |
| Class 6 | Discussion technique for research | Specified in the class |
| Class 7 | Science communication | Specified in the class |
| Class 8 | Career development in computing | Specified in the class |
Textbook(s)
None
Reference books, course materials, etc.
We might deliver handouts in the class.
Assessment criteria and methods
The student grade is assessed based on their contribution to the class. The evaluation is explained in the first class.
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
