2020 Advanced Artificial Intelligence and Data Science C

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Academic unit or major
School of Computing
Instructor(s)
Miyake Yoshihiro  Nitta Katsumi  Kanezaki Asako  Takeuchi Shojiro  Kaneshige Yuzo  Nishida Daishiro  Tomita Hayato  Nakano Yuya  Yamada Takeshi  Hayashi Kidai  Fujimoto Shotaro  Yoshimoto Seiya  Tamura Tetsuya 
Course component(s)
Lecture
Mode of instruction
 
Day/Period(Room No.)
Tue9-10(Zoom)  
Group
-
Course number
XCO.T485
Credits
1
Academic year
2020
Offered quarter
4Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course is designed for students to understand the outline of digital art, automobiles, machine translation, and online advertising 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.

Course taught by instructors with work experience

Applicable How instructors' work experience benefits the course
This lectured are given by scientists and engineers of Toyota Corporation and Team Lab Inc. about application of AI and Data Science to solve practical problems.

Keywords

artificial intelligence, data science, connected cars, autonomous driving, machine translation, online advertising

Competencies that will be developed

Specialist skills Intercultural skills Communication 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 attend each class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Technology development and prospects related to artificial intelligence / big data required for the automobile industry To understand artificial intelligence / big data technology and future prospects necessary to achieve the needs of automobiles required by modern society.
Class 2 The future of connected cars and autonomous driving To focus on connected and autonomous driving in automotive trends and understand the services that spread from the car which can connect with society and the technology required for autonomous driving.
Class 3 Based on previous two lectures, do the following in the class ① Suggest new service ideas ② Feedback on suggestions Hold a workshop to propose new ideas about the services and autonomous driving.
Class 4 Introduction to artificial intelligence and data utilization through examples To understand the possibility of utilization of AI and data based on actual cases.
Class 5 Usage of artificial intelligence for digital art (1) To understand the overview of work of digital art
Class 6 Usage of artificial intelligence for digital art (2) To understand the algorithm selection and design process assuming virtual works.
Class 7 Usage of artificial intelligence for digital art (3) To understand techniques for creating interactions using deep learning.application to machine translation.

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None required

Reference books, course materials, etc.

Materials will be provided on OCW-i in advance and shared in Zoom lecture

Assessment criteria and methods

Based on quizzes evaluating students' understanding at the end of each class.

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
  • XCO.T483 : Advanced Artificial Intelligence and Data Science A
  • XCO.T486 : Advanced Artificial Intelligence and Data Science D

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

none

Other

This lecture is supported by teamLab Inc. and Toyota Motor Corporation.

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