Course Objectives
Learning purposes :
To acquire basic knowledge of sensors and signal processing circuits / systems used in biometric equipment. The purpose is to learn the basic measurement method of biological signals.
Course Objectives :
1. To understand the basic sensors.
2. To understand the sensor signal processing circuits and systems.
3. To understand the basic equipment and measurement methods used for biometrics.
Rubric
| Excellent | Good | Acceptable | Not acceptable |
| Achievement 1 | The student can understand and accurately explain the basic sensors. | The student can understand and explain the basic sensors. | The student can almost explain the basic sensors. | The student will not understand and explain the basic sensors. |
| Achievement 2 | The student can understand and accurately explain the sensor signal processing circuits and systems. | The student can understand and explain the sensor signal processing circuits and systems. | The student can almost explain the sensor signal processing circuits and systems. | The student will not understand and explain the sensor signal processing circuits and systems. |
| Achievement 3 | The student can understand and accurately explain the basic equipment and measurement methods used for biometrics. | The student can understand and explain the basic equipment and measurement methods used for biometrics. | The student can almost explain the basic equipment and measurement methods used for biometrics. | The student will not understand and explain the basic equipment and measurement methods used for biometrics. |
Assigned Department Objectives
Teaching Method
Outline:
General or Specialized : Specialized
Field of learning : Interdisciplinary subjects
Required, Elective, etc. : Elective must complete subjects
Foundational academic disciplines : Interdisciplinary area / Biomedical engineering / welfare engineering
Relationship with Educational Objectives :
This class is equivalent to "(4) Develop multi-disciplinary ability", "(5) Attain a global perspective and understanding of social development", "(6) Develop problem solving ability" and "(7) Develop communication and presentation abilities".
Relationship with JABEE programs :
The main goal of learning / education in this class are "(A), A-1".
Course outline :
In fields such as medical and welfare equipment design, biological signals are measured and the data is required. In this lecture, the student will learn the basic contents of biometric equipment.
Style:
Course method :
Classes will be held in the first semester due to class timetable. Courses are offered in 2 credit hours per week.
Classes are centered around textbooks. Solve the exercises during class. Students are required to submit a report.
Grade evaluation method :
Exams (70%) + Report (30%).
Regular examinations will be conducted a total of 2 times, and the evaluation ratios will be the same. Textbooks and notebooks are not allowed for the exam. Retaking Exams may be conducted for those with poor grades.
Notice:
Precautions on the enrollment :
Students must take this class.
This is a "class that requires study outside of class hours". Classes are offered for 15 hours per credit, but 30 credit hours are required in addition to this. Follow the instructions of your instructor for these studies.
Course advice : None
Foundational subjects : Fundamentals of Integrated Science and Technology (1st year)
Related subjects : Medical and Welfare Engineering (5th year), Welfare Equipment Design (5th)
Attendance advice :
It is recommended that you take notes while understanding the contents explained in the class. If you do not understand the content of the lesson, ask the teacher.
If you are late for the start time, you will be treated as absent after 25 minutes.
Characteristics of Class / Division in Learning
Course Plan
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Evaluation Method and Weight (%)
| Examination | Presentation | Mutual Evaluations between students | Behavior | Report | Other | Total |
| Subtotal | 70 | 0 | 0 | 0 | 30 | 0 | 100 |
| Basic Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Specialized Proficiency | 70 | 0 | 0 | 0 | 30 | 0 | 100 |
| Cross Area Proficiency | 0 | 0 | 0 | 0 | 0 | 0 | 0 |