2021 Advanced Artificial Intelligence and Data Science B

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Academic unit or major
School of Computing
Kanezaki Asako  Miyake Yoshihiro  Nitta Katsumi  Nagahashi Hiroshi  Kobayashi Takao  Morioka Tsuguto  Uchino Hayanari  Mizobata Mikio  Ohashi Tetsuyuki  Ishii Hotaka  Mitsugi Hiroyuki  Kato Atsuo  Okano Takeshi 
Class Format
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

This course is designed for students to understand the outline of Finance and to consider the possibility to utilize Technology in Finance. 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 Finance 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
The lecturers of this course are engineers of Daiwa Institute of Research Ltd.


FinTech, Data-Science, algorithm, Artificial-Intelligence, Big-Data, Economic-Indicator

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 submit a summary report after each class.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction To grasp broad picture of Utilization of Technology in Finance
Class 2 FinTech and Finance Business To understand functions and products of Finance
Class 3 Finance/Economic Analysis To review general knowledge of Data and theory in Finance/Economic Analysis
Class 4 Technology to sustain Financial functions To review general knowledge of technologies which sustain Financial functions
Class 5 Market Transaction and Market Data To understand transactions in the market and market data
Class 6 Financial Services and Customer Data To grasp broad picture of Financial Services for Customers and Data of Customer Services
Class 7 Foresight of FinTech and Data-Science To consider the foreseeable Future of FinTech and Data-Science

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 course material.


None required

Reference books, course materials, etc.

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

Assessment criteria and methods

Attendance, Summary-sheet, and Report at the end of the course will be considered

Related courses

  • none

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



This lecture is supported by Daiwa Institute of Research Ltd.

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