1M509500
1 Data Engineering / Exercise 1
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.
- Learn how to find a problem in data engineering.
- Study the methodology to solve the problem.
- Learn how to implement a program to evaluate the method.
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%)
Feedback on exams, assignments, etc.
ways of feedback |
specific contents about "Other" |
Textbooks and reference materials
Nothing
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)
Non-regionally-oriented course
Development of social and professional independence
- Course that cultivates an ability for utilizing knowledge
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 : Tue Aug 27 14:05:41 JST 2024