科目ナンバー

SG-CV5-3C33

履修条件・関連科目等

Taking the following classes is preferable for deeper understanding.

授業で使用する言語

英語

授業で使用する言語（その他の言語）

授業の概要

The advanced water environmental system engineering is aiming to gain your skills and knowledge about the next-generation water management, including water treatment technology and water basin control. First, the basic contents about water treatment technology will be reviewed. This will be very brief one, so if you feel the lackage of your knowledge, you have to catch up by reading textbooks.
The main contents of this study is the use of IoT technology for water treatment and water management. We will learn Brief Python languages with following one examples of neural network programming. This also will help you to lean the basic of machine learning. And the latter section of the class is to make your own deep learning program which is applicable to water treatment. I will provide you the dataset and you have to propose some ideas which enable the smart water management.
Finally, you will give a presentation to the water consulting company and they will give you a comment to brush up your ideas.

科目目的

This class aims to learn about the Water chemistry. The basic knowledge about the water itself and their reactivity with solvent and water molecules.

到達目標

(1) to understand basics about drinking water and wastewater management
(2) to gain your programming skills of Python
(3) to be able to suggest AI based management system
(4) to overview future smart water technology

授業計画と内容

（1）Guidance and overlook of this course
（2）Registration of your ID and review the current drinking water technology
（3）Review the history of wastewater technology and current challgenges
（4）Overlook of the current innovative water treatment tehnologies
（5）Basics of the python language
（6）Fundamentals of python languages
（7）Neural network and their history
（8）Deep leaning and their history
（9）Listing up the Theme and examples
（10）Exercise1
（11）Exercise2 and presentation of your concept
（12）Exercise3
（13）Exercise 4 and presentation of your results
（14）Final presentation to the consulting company

授業時間外の学修の内容

指定したテキストやレジュメを事前に読み込むこと

授業時間外の学修の内容（その他の内容等）

(1) Catching up the basic knowledge about water treatment
(2) Self study about python program

授業時間外の学修に必要な時間数／週

・毎週１回の授業が半期（前期または後期）または通年で完結するもの。１週間あたり４時間の学修を基本とします。
・毎週２回の授業が半期（前期または後期）で完結するもの。１週間あたり８時間の学修を基本とします。

成績評価の方法・基準

成績評価の方法・基準（備考）

Attendance and contribution to class with Q&A: 20%
Final presentation: 80%

課題や試験のフィードバック方法

授業時間内で講評・解説の時間を設ける

課題や試験のフィードバック方法（その他の内容等）

アクティブ・ラーニングの実施内容

プレゼンテーション

アクティブ・ラーニングの実施内容（その他の内容等）

授業におけるICTの活用方法

タブレット端末

授業におけるICTの活用方法（その他の内容等）

実務経験のある教員による授業

いいえ

【実務経験有の場合】実務経験の内容

【実務経験有の場合】実務経験に関連する授業内容

テキスト・参考文献等

Text will be distributed with Manaba and printed paper.

その他特記事項

This class will be given by English.
Basic English skills will be needed to catch up.

参考URL