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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 Computer Science
Campus
Tsukuba Campus
Classroom
Course Offering Year
2022-2023
Course Offering Month
October - December
Weekday and Period
Tue3,4
Capacity
Credits
2.0
Language
English
Course Number
0AL5409

Data Engineering I University of Tsukuba

Course Overview

データ工学の基礎および最近のトピックについて講義する。まず、基礎となるデータベース技術について概観した後、データマイニングの主要な手法について述べ、さらにグラフデータ処理等に関連するトピックを取り上げる。なお、講義は英語で行われるが、適宜日本語による補足も行なう。データベース、データマイニング分野の基礎的データ工学手法を理解すると共に、グラフデータ処理等最新の技術動向についても学習する。

Learning Achievement

This lecture covers basic data engineering techniques and some advanced topics. First, we briefly review database technologies which are the basis of this lecture. Then we pick up major data mining techniques and advanced topics on graph data management. The lecture is given in English.

Competence

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

Course prerequisites

Students are encouraged to have fundamental knowledge about databases and information retrieval.

Grading Philosophy

Evaluated based on final exam (80%) and quizzes (20%).

Course schedule

Course type

Lectures

Online Course Requirement

Instructor

Amagasa Toshiyuki,Shiokawa Hiroaki,Bou Savong

Other information

Identical to 01CH304.
Lecture is conducted in English.
Online(Asynchronous) The lectures will be given on-demand style, i.e., the lecture videos will be available.
The course materials will be distributed through manaba.

Site for Inquiry

Please inquire about the courses at the address below.

Contact person: Toshiyuki Amagasa,Hiroaki Shiokawa

Email address: amagasa@cs.tsukuba.ac.jp,shiokawa@cs.tsukuba.ac.jp


Link to the syllabus provided by the university