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Course Jukebox

Course Jukebox

Course Detail

Degree
Master
Standard Academic Year
1・2
Course delivery methods
Online (Asynchronous)
Subject
Physical sciences, Mathematical sciences, Computer Science, Engineering & technology
Program
School
Degree Programs in Systems and Information Engineering
Department
Master's Program in Risk and Resilience Engineering
Campus
Tsukuba Campus
Classroom
Course Offering Year
2022-2023
Course Offering Month
October - December
Weekday and Period
Tue5,6
Capacity
Credits
2.0
Language
English
Course Number
0AL0301

Data Mining University of Tsukuba

Course Overview

Data analysis techniques in data mining based on knowledge discovery from aspects of statistical learning and machine learning will be the main focus of discussion in this class. The goal of this class is to understand advanced methodologies in data analysis and to apply data mining techniques based on the data analysis techniques actually used in society. Specifically, this class discusses methods for expressing uncertainty inherent in data, exploratory data analysis methods, recent problems in data analysis, and advanced methods corresponding to them.

Learning Achievement

This class will be given online with further details of the class posted on the Manaba system. In Essence, this class will be done through Manaba and Microsoft Teams systems. For information on the first class, the details will be informed through this class course on Manaba, so please access the Manaba system.

Competence

Course prerequisites

Grading Philosophy

Method of Evaluation: Final report
Ratio: All of the evaluations will be done in the final report. A grade of 60% or higher will be required to pass this class.
Criterion of evaluation: According to the main issue of the report assignment, whether the report can be written correctly and clearly will be the evaluation point.

Course schedule

Course type

Lectures

Online Course Requirement

Instructor

Sato-Ilic Mika

Other information

Identical to 01CF109.
Online(Asynchronous) Fundamental knowledge in Mathematics

Site for Inquiry

Please inquire about the courses at the address below.

Contact person: Mika Sato-Ilic

Email address: mika#at#risk.tsukuba.ac.jp(#at# is @)


Link to the syllabus provided by the university