Course Overview

In this course, students will learn approaches of informatics for solving problems in the problem domains in science and engineering. First, students will learn fundamental knowledge in the problem domain, followed by learning major data formats and tools. Next, students will actually apply data mining and/or machine learning algorithms to the real datasets to solve real problems.
This course deals with bioinformatics and meteorology.

Learning Achievement

In this course, the domain experts will give a lecture. Then, students will get hands-on work using real datasets. The announcement of this lecture, including the detailed schedule, will be announced on the bulletin board and e-mails.

Competence

Knowledge Utilization Skills, Management Skills, Research Skills, Expert Knowledge

Course prerequisites

Priority is given to those students who have registered in the "Frontier informatics curriculum" in the Degree Program in Computer Science. Since this course includes hands-on seminar, we may limit the number of students enrolled.

Grading Philosophy

The grade is determined based on the report.

Course schedule

Course type

Lectures

Online Course Requirement

Instructor

Amagasa Toshiyuki,Tanaka Hiroshi,Hashimoto Tetsuo,Inagaki Yuji,Kume Keitaro

Other information

This course may not be available if there are too many participants. Lecture is conducted in English.
Online(Synchronous) NOTE: Online lecture information
- This course will be online (real-time) using Microsoft Teams.
- Course materials and other supplements will be distributed through manaba and/or Teams.

Site for Inquiry