Course Programs

2024

Life Creator Theory 2

Code:G2B55716 / Instructor:HAYASHI Kenichi

Course Description

We are currently in the third AI boom, the core technology of which is deep learning. Developments in deep learning have made autonomous driving possible and allowed AI to beat the world’s top Go players, rapidly detect lesions from medical images, predict future illnesses from patient records, automate pesticide spraying with drones, and cultivate fruits with high sugar content. The quality of automatic translation is dramatically improving, news summaries of financial results are automatically distributed, household appliances can be controlled by voice commands, AI learning diagnostics can recommend effective educational programs for difficult subjects, and AI can help people find the ideal partner. Things that used to seem a long way off are becoming possible every day.

Through lectures delivered by expert professors, students will learn the fundamentals of deep learning, which is a key technology in modern AI, and understand how it is used in various fields. In addition, they will participate in group work in interdisciplinary teams to deepen their understanding of how AI can be used to solve common issues through a “launch a startup” exercise.

During the course, students will also aim to obtain the G-Certificate, a generalist deep learning certification offered by the Japan Deep Learning Association.

Keywords

group work, communication, problem discovery, problem-solving, logical thinking, AI, artificial intelligence

Course Plan

Session Title Lecturer
Session 1: Orientation (Hayashi Ken’ichi)
Session 2: Group work (1) (Hayashi Ken’ichi)
Session 3: Fundamentals of deep learning (1) (Hayashi Ken’ichi)
Session 4: Fundamentals of deep learning (2) (Hayashi Ken’ichi)
Session 5: Deep learning exercise
Session 6: Group work (2) (Hayashi Ken’ichi)
Session 7: Special lecture: AI and robots
Session 8: Special lecture: AI and governance
Session 9: Special lecture: AI and agriculture
Session 10: Special lecture: AI and education
Session 11: Group work (3) (Hayashi Ken’ichi)
Session 12: Group work (4) (Hayashi Ken’ichi)
Session 13: Group work (5) (Hayashi Ken’ichi)
Session 14: Group work (6) (Hayashi Ken’ichi)
Session 15: Group work (7) (Hayashi Ken’ichi)
* Sessions may be reordered. Any changes will be shared in the Orientation during the first session.