2019 Advanced Artificial Intelligence and Data Science A

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Academic unit or major
School of Computing
Instructor(s)
Miyake Yoshihiro  Shudo Kazuyuki  Kise Kenji  Nitta Katsumi                   
Course component(s)
Lecture
Day/Period(Room No.)
Tue7-8(W531(レクチャーシアター),G115)  
Group
-
Course number
XCO.T483
Credits
1
Academic year
2019
Offered quarter
3Q
Syllabus updated
2019/9/26
Lecture notes updated
2019/11/21
Language used
Japanese
Access Index

Course description and aims

This course is designed for students to understand the outline of WEB media systems focusing on the infrastructure of artificial intelligence and data utilization, information retrieval, and machine learning to consider the possibility to utilize artificial intelligence and data science in the field.
The lecturers will explain broad pictures and recent trends of the topic in each class, as shown below.

Student learning outcomes

This course aims to develop ability of each student to be more successful in the real world with the consideration of artificial intelligence and data science, and also through the opportunity for students to describe their own ideas.

Keywords

WEB media, data utilization, information retrieval, big data, machine learning, natural language processing, authentication technology, database, distributed processing, advertising technology,
artificial intelligence, data science

Competencies that will be developed

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills

Class flow

This course requires students to take an active role in their own learning. It is required to submit a summary report after each class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction To grasp broad picture of WEB media
Class 2 Outline of artificial intelligence and data science To understand an outline of artificial intelligence and data science
Class 3 Infrastructure of Artificial intelligence and data utilization for WEB media(1) To understand authentication technologies for the Internet
Class 4 Infrastructure of Artificial intelligence and data utilization for WEB media(2) To review some examples of spoken dialog systems using natural language processing
Class 5 Infrastructure of Artificial intelligence and data utilization for WEB media(3) To understand databases for data utilization
Class 6 Information retrieval and machine learning for WEB media(1) To review some development and application examples of information retrieval
Class 7 Information retrieval and machine learning for WEB media(2) To review some development examples of news services
Class 8 Information retrieval and machine learning for WEB media(3) To review some development examples of advertising technology

Textbook(s)

None required

Reference books, course materials, etc.

Materials will be provided on OCW-i in advance and projected in the classroom

Assessment criteria and methods

Summary-sheets at the end of each class will be considered

Related courses

  • XCO.T487 : Fundamentals of data science
  • XCO.T488 : Exercises in fundamentals of data science
  • XCO.T489 : Fundamentals of artificial intelligence
  • XCO.T490 : Exercises in fundamentals of artificial intelligence

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None

Other

This lecture is supported by Yahoo Japan Corporation.

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