Course Title
Department/Course
Category/Spacializations
Year Offered
Required or Elective
Semester
Day/Period
Chief Instructor
Instructors

Marine AI Workshop I
Graduate School of Marine Science and Technology Master's Course<Graduate School Subjects>、<Other Courses' Subjects>
Class
1stCredit
elective
Course Type
Intensive Course
Lecture RoomINTENSIVE
Hyodo Tetsuro
Hyodo Tetsuro、KINO Toru

Theme & Objects

Against the backdrop of a declining birthrate and aging population, there are expectations for reform and the creationof new industries to establish a sustainable industrial base through the introduction of AI into the marine industry. Ina project to achieve this, it is important for researchers in various specialized fields to discuss, plan and verify
solutions by utilizing their respective knowledge. In this lecture, lecturers from the Marine AI Consortium will
introduce examples of AI applications in various marine fields and present themes for discussion in a workshop
format using the World Café method. Through this workshop, students will acquire the latest information in fields
other than their own, communicate with researchers in different fields, and develop a bird's eye view of marine
issues from a broader perspective than that of their own specialty.

Learning Outcomes

In this lecture, we aim to acquire the following abilities.
(1) To understand the progress of AI projects outside of one's field of specialization and to deepen one's overall
knowledge of social issues in the marine field.
(2) To acquire the communication skills to be able to understand and co-create ideas for solutions with researchers
outside one's own field of expertise.

101

Combination of face-to-face and remote (real-time)

Styles of Class

Note: "Combined use" includes simultaneous real-time delivery of face-to-face classes, face-to-face or remoteclasses for each class session, or a combination of both.
Session 1: Life cycle of AI implementation project (lecture)
Session 2: Communication skills that AI engineers should acquire (lecture)
Session 3 to 14:
Background explanation and presentation of the theme (90 minutes/session/theme)
Group discussion using the World Café method (90 minutes/session/theme)
Session 15: Summary and awareness

Course Contents

Scheduled dates of classes (4,5period 14:40-17:50)
1st Thursday, 2024/10/10
2nd and 3rd Thursday, 2024/10/174th and 5th Thursday, 2024/10/24
6th and 7th Thursday, 2024/10/31
8th and 9th Thursday, 2024/11/7
10th and 11th Thursday, 2024/11/14
12th and 13th Thursday, 2024/11/21
Preliminary date: Thursday, 2024/11/28
Preliminary date: Thursday, 2024/12/5

Prerequisites

Students must have registered the required courses of the Master's Program, "Artificial Intelligence and Machine
Learning" and "Deep Learning".

Textbook / References

Introductions will be made as necessary.

Preparation & Review

Each lecturer's theme area will be notified in advance (approximately two weeks before), so it is recommended toprepare and review related items on the Internet.

Assessment and Examinations

Participation in each discussion will be evaluated.

Evaluation Criteria

Students will be evaluated on their participation in the discussion (30 points), whether they (1) presented theiropinions in accordance with the theme (40 points), (2) explained logically and in a way that is easy for otherparticipants to understand (15 points), and (3) listened attentively in order to understand the opinions of the otherparty (15 points).

Teaching activities & methodsInstructor Contact Information

Live Campus and Teams (set up a dedicated team for the class)

Other Information

If there are many applicants, students of WISE program may be given priority. (Even if you meet the course
requirements, you may not be able to take the course.)

URL
Code
Teaching Language

Japanese and English

Workload Calculation

1) Class hours: 30 hours
2) Lab activities: hours
3) Preparation: 10 hours
4) Review: 5 hours
5) Preparation for presentation: hours
6) Preparation for examinations (including report writing): hours
7) Discussions with faculty: hours
8) Participation in related seminars: hours9) Other laboratory activities: hours
10) Total study time: 45 hours

Related Degree Awarding Policy

Relation to SDGs

(1) Ability to understand the social background, academic significance, and practical value of the research topic, andto promote the research appropriately: ○(2) Extensive range of expertise related to basic and applied sciences: ◎(3) Ability to explain research results logically and ethics in academic research: ○［Goal 9］ Industry, Innovation and Infrastructure［Goal 12］ Responsible Consumption and Production［Goal 14］ Life Below Water