Syllabus data
|
Teacher name ： TANAKA Hisaya
|
Academic year
2025Year
Term
Second Semester
Course title
Intelligent Information Processing
Class type
Lecture
Course title (ENG)
Intelligent Information Processing
Class code・Class name・Teaching forms
Z0300001 Intelligent Information Processing
Instructor
TANAKA Hisaya
Credits
2.0Credits
Day and Time
Tue.3Period
Campus
Hachioji Campus
Location
1S-110講義室
Relationship between diploma policies and this course
A) A high degree of specialized expertise 100%
B) The skills to use science and technology 0% C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers 0% D) Creative skills in specific areas of specialization 0% Goals and objectives
This class is designed to interpret intelligent information processing from EEG.
Students will acquire knowledge of EEG measurement and analysis and be able to process and interpret it. Prerequisites
Basic knowledge of mathematics and physics required for measurement
Basic knowledge of digital signal processing Basic Knowledge of frequency analysis (FFT) Basic operation of MTALTAB Method Using AL・ICT
Discussion Debate／Presentation／Practice Fieldwork
Class schedule
*The content of the class may be rearranged or subject to change depending on the condition of the laboratory and measuring equipment.
EMG: Electromyogram Measurement and Analysis Theory Practical Electromyogram Measurement Interpretation of EMG: Electromyogram EMG: Electrocardiogram Measurement and Analysis Theory Practical ECG: Electrocardiogram Measurement Interpretation of ECG: Electrocardiogram EEG: Electroencephalogram Measurement and Analysis Theory Practical EEG: Electroencephalogram Measurement Interpretation of EEG: Electroencephalogram ERP: Event-Related Potential Measurement and Analysis Theory Practical ERP: Event-Related Potential Measurement Interpretation of ERP: Event-Related Potential Discussion 1 Discussion 2 Report Review Evaluation
Evaluation will be based on report, presentation and discussion attitude.
Feedback for students
Feedback will be interactive in class.
Textbooks
Biological Signal Processing with MATLAB (Corona Publishing) ISBN 978-4-339-07245-7
Reference materials
Introduction to EEG Analysis (University of Tokyo Press) ISBN 978-4-13-012118-7
Office hours and How to contact teachers for questions
Tuesday 1st period at 02-508 in hachioji campus, or contact hisaya@cc.kogakuin.ac.jp
Message for students
生体信号計測全般の質問に答えることができます。脳波を使った研究の相談にものります。
Course by professor with work experience
Not applicable
Work experience and relevance to the course content if applicable
Teaching profession course
Informatics Program
|
