Hokkaido University Syllabus
Course Title
Introduction to Artificial Intelligence, Big Data, and Cybersecurity for Graduate Students
Subtitle

Instructor (Institution)
YOSHIOKA Masaharu ( Faculty of Information Science and Technology )Other Instructors (Institution)
YOSHIOKA Masaharu ( Faculty of Information Science and Technology )OYAMA Satoshi ( Faculty of Information Science and Technology )IIZUKA Hiroyuki ( Faculty of Information Science and Technology )Thomas Zeugmann ( Faculty of Information Science and Technology )ARIMURA Hiroki ( Faculty of Information Science and Technology )James Allan
Course TypeOpen To Other Faculties / Schools

OKYear2020

Semester

1st Semester

Course Number215601

Type of ClassLecture

Number of Credits

1Year of Eligible Students〜Eligible Department /Class

Other Information

Numbering CodeMajor Category CodeMajor Category Title

Level CodeLevel

5

Specialized Subjects (basics) in graduate level (Master's Course and Professional Course), Inter-Graduate
School Classes

Middle Category Code

Middle Category Title

Small Category CodeSmall Category Title

Language TypeClasses are in English.
Course list by the instructor with practical experiences

Key Words
artificial intelligence, big data, cryptography, information retrieval, machine learning

Course Objectives

Students will learn basic concepts and ideas of big data science and cybersecurity technology including artificial intelligence, machinelearning, information retrieval, and cryptography

Course Goals
By the end of the course, you will be able to acquire the following key concepts:* Artificial Intelligence: Machine learning - Introduction, Basic concepts, Modern machine learning techniques, Cognitive modeling withdeep neural network* Big data: Information retrieval - Text mining from the Web, Data mining from massive data. Collective intelligence - Crowdsourcing
for data analytics, Future direction.
* Cybersecurity: Cryptography - Classical cryptography, Public key cryptography, Advanced Encryption Standard.

Course Schedule* Artificial Intelligence - 2 lectures* Information retrieval and data mining- 2 lectures* Collective intelligence - 1 lectures* Foundations of cryptography - 3 lectures

Homework
No preparation is needed. You will be asked to write a page (A4) of essay on one or more topics discussed in the lectures at the end ofeach lecture.

Grading System
Your grade will be determined by how well you demonstrate your achievement of the course goals through:1) Participation (attendance) 60%2) Writing of reports 40%

Practical experience and utilization for classes

Condition of tasking the subject

Textbooks
No textbook required. Handouts will be distributed

Reading ListWebsites
This course will be provided as part of the Hokkaido Summer Institute.
For more information (invited lecturers, course details, etc.), please visit the website below:
https://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G089

Website of Laboratory

Additional Information

Update2020/01/30 09:18:44

北海道大学シラバス
科目名Introduction to Artificial Intelligence, Big Data, and Cybersecurity for Graduate Students
講義題目

責任教員（所属）
吉岡 真治 ( 大学院情報科学研究院 )担当教員（所属）
吉岡 真治 ( 大学院情報科学研究院 )小山 聡 ( 大学院情報科学研究院 )飯塚 博幸 ( 大学院情報科学研究院 )Ｔｈｏｍａｓ Ｚｅｕｇｍａｎｎ ( 大学院情報科学研究院 )有村 博紀 ( 大学院情報科学研究院 )James Allan ( ﾏｻﾁｭｰｾｯﾂ大学ｱﾏｰｽﾄ校 )科目種別

情報科学院専門科目

開講年度

2020

期間

授業形態

講義

単位数

他学部履修等の可否

可

１学期

時間割番号

215601

1

対象年次〜

対象学科・クラス

補足事項

ナンバリングコード
大分類コード

大分類名称

レベルコードレベル5

大学院（修士・専門職）専門科目（基礎的な内容の科目）、大学院共通授業科目

中分類コード

中分類名称

小分類コード

小分類名称

言語
英語で行う授業
実務経験のある教員等による授業科目

キーワード
artificial intelligence, big data, cryptography, information retrieval, machine learning授業の目標
Students will learn basic concepts and ideas of big data science and cybersecurity technology including artificial intelligence, machinelearning, information retrieval, and cryptography

到達目標
By the end of the course, you will be able to acquire the following key concepts:* Artificial Intelligence: Machine learning - Introduction, Basic concepts, Modern machine learning techniques, Cognitive modeling withdeep neural network* Big data: Information retrieval - Text mining from the Web, Data mining from massive data. Collective intelligence - Crowdsourcing
for data analytics, Future direction.
* Cybersecurity: Cryptography - Classical cryptography, Public key cryptography, Advanced Encryption Standard.

授業計画* Artificial Intelligence - 2 lectures* Information retrieval and data mining- 2 lectures* Collective intelligence - 1 lectures* Foundations of cryptography - 3 lectures

準備学習(予習・復習)等の内容と分量
No preparation is needed. You will be asked to write a page (A4) of essay on one or more topics discussed in the lectures at the end ofeach lecture.

成績評価の基準と方法
Your grade will be determined by how well you demonstrate your achievement of the course goals through:1) Participation (attendance) 60%
2) Writing of reports 40%有する実務経験と授業への活用

他学部履修の条件

テキスト・教科書No textbook required. Handouts will be distributed
講義指定図書参照ホームページ
This course will be provided as part of the Hokkaido Summer Institute.
For more information (invited lecturers, course details, etc.), please visit the website below:
https://hokkaidosummerinstitute.oia.hokudai.ac.jp/courses/CourseDetail=G089
研究室のホームページ

備考更新日時
2020/01/30 09:18:44