| Academic Year |
2022Year |
School/Graduate School |
Education and Research Center for Artificial Intelligence and Data Innovation |
| Lecture Code |
8J020001 |
Subject Classification |
Specialized Education |
| Subject Name |
データエンジニアリング基礎 |
Subject Name
（Katakana） |
データエンジニアリングキソ |
Subject Name in
English |
Basics of Data Engineering |
| Instructor |
OKAMURA HIROYUKI,HAYASHI YUSUKE |
Instructor
(Katakana) |
オカムラ ヒロユキ,ハヤシ ユウスケ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
2nd-Year, Second Semester, Intensive |
| Days, Periods, and Classrooms |
(Int) Inte：Online |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture, Practice |
| Credits |
1.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
2
:
Undergraduate Low-Intermediate
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
2nd year |
| Keywords |
Data representation, programming, algorithms, database, security |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program | This is a required subject for AI/Data science advanced basic program. This class provides basic knowledge and skill for data engineering. |
|---|
Criterion referenced
Evaluation | |
|---|
Class Objectives
/Class Outline |
The objectives of this class are for students to understand the basic concepts of data engineering, and to learn the programming for data processing with Python. |
| Class Schedule |
lesson1 Big data and data engineering
lesson2 Data representation
lesson3 Programming
lesson4 Algorithm 1
lesson5 Algorithm 2
lesson6 Database
lesson7 Data processing
lesson8 Security
Quiz |
Text/Reference
Books,etc. |
There is no textbook. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Google Classroom |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
There are on-demand videos and practices at every lecture. |
| Requirements |
This is a required subject for AI/Data science advanced basic program. This class provides basic knowledge and skill for data engineering. |
| Grading Method |
Short tests |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |