学部・大学院区分
Undergraduate / Graduate
工・博前
時間割コード
Registration Code
2838101
科目区分【日本語】
Course Category
基礎科目
科目区分【英語】
Course Category
Basic Courses
科目名 【日本語】
Course Title
[G30]データ解析処理論
科目名 【英語】
Course Title
[G30]Theory of Data Analysis and Processing
コースナンバリングコード
Course Numbering Code
担当教員 【日本語】
Instructor
栗本 宗明 ○ 中島 拓 MARTINEZ CALDERON Claudia 田畑 彰守 加藤 丈佳 西谷 望 塩川 和夫 三好 由純 山本 真義
担当教員 【英語】
Instructor
KURIMOTO Muneaki ○ NAKAJIMA Taku MARTINEZ CALDERON Claudia Maria TABATA Akimori KATO Takeyoshi NISHITANI Nozomu SHIOKAWA Kazuo MIYOSHI Yoshizumi YAMAMOTO Masayoshi
単位数
Credits
4
開講期・開講時間帯
Term / Day / Period
春 月曜日 1時限
春 月曜日 2時限
Spring Mon 1
Spring Mon 2
授業形態
Course style
講義
Lecture
学科・専攻【日本語】
Department / Program
自動車工学プログラム-電気工学
学科・専攻【英語】
Department / Program
Automotive Engineering Graduate Program - Electrical Engineering
必修・選択【日本語】
Required / Selected
必須/選択
必修・選択【英語】
Required / Selected
Compulsory/Elective


授業の目的 【日本語】
Goals of the Course(JPN)
0
授業の目的 【英語】
Goals of the Course
The purpose of this class is to deepen the understanding of the techniques that are necessary for data acquisition and analysis in experiments, and to obtain practical skills. The signal measurement of voltage / current etc. in the experiment is important for the electrical engineering, electronics, information and communication engineering. Students will be able to 1) understand the principle of the signal measurement method, 2) understand the evaluation method of the error on the signal measurement; and 3) process and analyze the measured data using software (LabVIEW and Scilab).
到達目標 【日本語】
Objectives of the Course(JPN))
0
到達目標 【英語】
Objectives of the Course
The purpose of this class is to deepen the understanding of the techniques that are necessary for data acquisition and analysis in experiments, and to obtain practical skills. The signal measurement of voltage / current etc. in the experiment is important for the electrical engineering, electronics, information and communication engineering. Students will be able to 1) understand the principle of the signal measurement method, 2) understand the evaluation method of the error on the signal measurement; and 3) process and analyze the measured data using software (LabVIEW and Scilab).
バックグラウンドとなる科目【日本語】
Prerequisite Subjects
0
バックグラウンドとなる科目【英語】
Prerequisite Subjects
electromagnetics, electric circuits, electronics circuits, mathematics1 & 2, programming, probability / statistics
授業の内容【日本語】
Course Content
0
授業の内容【英語】
Course Content
1. Signal measurement
1.1 Measuring instrument definition and specification
1.2 Basics of circuit design
1.3 Voltage measurement, current measurement, resistance measurement
1.4 Error source in measurement
1.5 Configuration of PC-based instrument
1.6 Collection and programming of experiment data
2. Data analysis
2.1 Statistical analysis (error, least-square fitting, basic statistics and test)
2.2 Time series analysis (FT, FFT, WT, transfer function, chaos)
2.3 Correlation analysis (autocorrelation, cross-correlation)
2.4 Spectral analysis (fourier analysis, fourier transform, spectral density function)
2.5 Simulation · Observation Experimental Data Analysis (Basic)
2.6 Simulation / Observation Experimental Data Analysis (Application)

Procedures of online lectures and exercises
・The documents of the online lectures and exercises will be uploaded onto the TACT by the dates shown in the seminar.
・Please take these online lectures and exercises, and submit your report by the dates shown in the seminar. Students are considered to have taken the lectures and exercises by submitting the report.
成績評価の方法と基準【日本語】
Course Evaluation Method and Criteria
0
成績評価の方法と基準【英語】
Course Evaluation Method and Criteria
Evaluate the target achievement level by comprehensively summarizing the presentation content of the seminar, the degree of understanding of the lecture, and the analysis result report of the exercise. Pass score of 60 points or more with 100 full marks.

Grading by Exercises and Reports.
(enrolled student after 2020.4)
A+:100-95, A:94-85, B:84-75, C:74-65, C-:65-60, F: 59
(enrolled student after 2011.4)
S:100-90, A:89-80, B:79-70, C:69-60, F:59-
履修条件・注意事項【日本語】
Course Prerequisites / Notes
0
履修条件・注意事項【英語】
Course Prerequisites / Notes
Students have to register for "Theory of Data Analysis and Processing" on TACT by 9:00am, 10th April.
This course limits the number of students.

■How to find "Theory of Data Analysis and Processing" on TACT
1. Login to TACT
2. Click the "Membership" from Home menu.
3. Press the "Available Sites" button to display a list of work sites that you can register.
Use the search window to find work sites "Theory of Data Analysis and Processing" if necessary.
教科書【日本語】
Textbook
0
教科書【英語】
Textbook
・"Low Level Measurements Handbook (6th Ed.), Keithley" and data analysis prints will be distributed.
・"Atarashii Gosa-Ron (in Japanese)" by K. Yoshizawa (Kyoritsu)
・"Spectral Analysis (in Japanese)" by M. Hino (Asakura)
・"Random Data: Analysis and Measurement Procedures" by J. S. Bendat and A. G. Piersol (John Wiley and Sons)
参考書【日本語】
Reference Book
0
参考書【英語】
Reference Book
LabView Programming Guide ASCII
授業時間外学習の指示【日本語】
Self-directed Learning Outside Course Hours
0
授業時間外学習の指示【英語】
Self-directed Learning Outside Course Hours
This course will expect preparing and submitting report on lectures’ content outside class hours.
使用言語【英語】
Language used
使用言語【日本語】
Language used
授業開講形態等【日本語】
Lecture format, etc.
0
授業開講形態等【英語】
Lecture format, etc.
Lectures will be given face-to-face basically, but if necessary, remotely (zoom or on-demand via TACT).
遠隔授業(オンデマンド型)で行う場合の追加措置【日本語】
Additional measures for remote class (on-demand class)
0
遠隔授業(オンデマンド型)で行う場合の追加措置【英語】
Additional measures for remote class (on-demand class)
・Contacting Faculty: Questions are received during or after class time and via TACT messenger.
・Discussions among students about the class should be via TACT messenger.