サイエンス・リーディング[19S0116]

科目名
Course Title
サイエンス・リーディング[19S0116]
Scientific Reading
授業言語
Language
English
科目区分・科目種 共通科目(前期課程) クラス 博士課程共通
CCBM   キャリアデザイン  
単位数 1.0単位 履修年次 13

担当教員 Ghourabi Fadoua
吉田 裕亮
学期 1学期
曜日・時限・教室
木曜 7 8 理学部スタディコモンズ

受講条件・その他注意
Reading and understanding science articles written in English.

授業の形態
講義

教科書・参考文献
Science articles from various sources (Nature, Science, Scientific American, MIT review, ACM Communications, etc.)

評価方法・評価割合
その他=Weekly reading homework (70%), final presentation (30%)

主題と目標
[Objective]
Make more space in your student life for science reading!
The focus this year will be "AI: methods, applications, and reliability".

[Theme]
Science reading is about reading and understanding articles that target the general public. As students and researchers in science, we read to keep up to date with research findings and scientific breakthrough. In this class, you will read accessible science articles in English to understand a powerful field: Artificial Intelligence.

授業計画
This class is conducted from 2019.04.11 to 2019.06.06 as follows:

April 11, 18, 25
Understanding AI techniques
Articles:
Machine learning: Trends, perspective, and prospects. Science (349). 2015
Common sense, the Turing test, and the quest for real AI. The MIT Press. 2018

May 9, 16
Cutting-edge applications
Articles:
A primer on deep learning in genomics. Nature Genetics (51). 2019
Self-driving cars take the wheel. MIT Technology Review. 2019

May 23, 30
Reliability, limitations
Privacy in the age of medical big data. Nature Medicine (25). 2019
The Parable of Google Flu: Traps in Big Data Analysis. Science (343). 2015

June 06
Presentation: Imagine your future with AI

時間外学習
Students are expected to read a science article related to AI.

学生へのメッセージ
1. Important: The classroom is seminar room 601 located at Science Building 1 (理学部1号館6階 理学部共通図書室(601室)スタディ・コモンズ・セミナー室)
2. Graduate students from different faculties of Ocha-dai are welcome to join. You are encouraged to develop a collaborative and enjoyable course environment with other students. For smooth lectures, please bring your notebook PC with a connection to ocha network.