2019 FinTech and Data Science

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Academic unit or major
School of Computing
Instructor(s)
Miyake Yoshihiro  Okano Takeshi  Ishii Yoshizumi  Uchino Hayanari  Mizobata Mikio  Nakashima Naoki  Takahashi Ryuji  Shiomi Kazuma  Kato Atsuo  Edahiro Tatsuto 
Course component(s)
Lecture
Day/Period(Room No.)
Tue7-8(W832)  
Group
-
Course number
XCO.T484
Credits
1
Academic year
2019
Offered quarter
2Q
Syllabus updated
2019/5/16
Lecture notes updated
-
Language used
Japanese
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 Data science 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.

Keywords

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

Competencies that will be developed

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

Class flow

Class1-Class7:Lecture、Class8:Review
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
Class 8 Review

Textbook(s)

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.)

none

Other

This lecture is supported by Daiwa Institute of Research Ltd.

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