Course title
1M5095001
Data Engineering / Exercise 1

 kimura masaomi Click to show questionnaire result at 2016
Course content
This course deals with the following themes. Students are required to read the related papers.
・Mechanism to realize data mining analyses
・Data mining technique
・Text mining technique
・Application mining techniques to data related to safety
・Fundamental and application techniques of ontology data

Students are also required to make a study in the related study area and make a
presentation at Domestic/International conference.
Goals and objectives
  1. Learn how to find a problem in data engineering.
  2. Study the methodology to solve the problem.
  3. Learn how to implement a program to evaluate the method.
Language
English
Class schedule
Students should read journal papers and propose a new method related to
・Mechanism to realize data mining analyses
・Data mining technique
・Text mining technique
・Application mining techniques to data related to safety
・Fundamental and application techniques of ontology data
Evaluation method and criteria
・Weekly reports and discussion（90%）
・Presentation at a international conference (5%)
・Submit an original paper to a journal (5%)
Textbooks and reference materials
Nothing
Prerequisites
Students should have knowledge of discrete mathematics, programming, data structure/algorithms, and databases.
Office hours and How to contact professors for questions
  • 13:00-14:30 on Friday in Laboratory Room 13-O-32 (Toyosu Campus)
Relation to the environment
Non-environment-related course
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
N/A N/A
Last modified : Thu Mar 21 16:14:30 JST 2019