Course title
1M3301001
Clustering and Classification in Infocommunications Technology/ Exercise 1

 KANZAWA Yuuchi
Course content
Various technologies relating to classifying and clustering.

Students will conduct independent research relating to themes selected from classifying and clustering etc., and acquire a deep understanding of classifying and clustering technology.
Goals and objectives
  1. Student will learn recent trends of research related to classifying and clustering.
  2. Student will learn techniques and skills to experiments for classifying and clustering.
  3. Student will learn how to research for classifying and clustering.
Language
Japanese
Class schedule
Discuss for classifying and clustering.
Evaluation method and criteria
Students will be evaluated based on regular meetings, seminars, and their reports.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Textbooks and reference materials
Textbooks and references will be offered in regular meetings.
Prerequisites
Survey how clustering and classification are or could be applied to your own research field,
especially in your thesis.
Office hours and How to contact professors for questions
  • Wednesday 12:30-13:00
    The lecturer recommends making appointment in advance.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates a basic self-management skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Mar 16 04:15:32 JST 2024