Course title
Course description
This course provides an overview of the fundamental principles, techniques, and applications of biosensors, bioelectronics, biomechanics, and neuroscience. Students will learn about the basic principles of biosensors and bioelectronics, including different types of sensing elements used in biosensors and the materials and technologies used in bioelectronics. The course will also cover the basics of biomechanics, including the force and strength of materials, equilibrium, and friction, and dynamics in biomechanics. Students will be introduced to the tools used in biomechanics, such as EMG, motion capture, and simulation software. In addition, students will learn about the functioning of neurons and neuronal circuits in the brain, including neuronal electrophysiology, neural codes, and sensory processing. The course will also cover neural network architectures and learning algorithms, and how neural networks can be studied as dynamic and statistical systems. Throughout the course, students will gain practical experience through relevant practical examples and lab work.
Purpose of class
To provide a comprehensive introduction to a range of topics related to biosensors, biomechanics, and neuroscience, and may be useful for students or professionals in fields such as biomedical engineering, neuroscience, or related areas. Additionally, this course may also be helpful for individuals interested in developing or applying cutting-edge technologies and tools for biomedical research, diagnosis, or treatment, as it covers a range of topics related to biosensors, biomechanics, and neuroscience that are relevant to these fields.
Goals and objectives

Goals and objectives Course Outcomes
1. Students understand selected biological phenomena using physical principles and measurement using sensors.
A-1
2. Students can achieve true integration on biology, chemistry, physics, and mathematics, and become competent in all these areas.
A-1
3. Students can obtain the skills and technical abilities to address biological problems at hand
A-1
4. Students can understand system level neuroscience with how our brain perceives and executes complex functions
A-1
Language
English
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction to Biosensors: sensors, transducers, biosensors and bioreceptors,

Basic Bioelectronics: Resisters, diodes, transistors
Read Power point presentation and textbook 300分
Work on exercises 100分
2. Sensing elements: temperature sensor, operational amplifiers, light sensors

Spectrophotometry: introduction and relevant examples- pulse oximeter, hemoglobin quantification
Read Power point presentation and textbook 240分
Work on exercises 120分
3. Fluorescence: materials, detection and relevant practical example- urine analysis

Electrochemical sensors: basics, amperometric sensors, conductometric sensors, pH meter
Read Power point presentation and textbook 340分
Work on exercises 60分
4. Piezoelectric biosensors: piezoelectricity, crystal oscillators, quartz crystal microbalance for biosensing

Applying the basics: glucose sensors, immunosensors
Read Power point presentation and textbook 340分
Work on exercises 60分
5. Lab-on-chip: introduction, method and applications

Nano biosensor*/bio-mechanical sensors
Read Powerpoint presentation and textbook 340分
Work on exercises 60分
6. Force in Biomechanics

Strength of Materials
Read Power point presentation and textbook 340分
Work on exercises 60分
7. Equilibrium and Friction 1

Mid-term exam and discussion on the solutions afterwards
Preparation for mid-term 400分
8. Equilibrium and Friction 2

Dynamics in Biomechanics
Read Power point presentation and textbook 340分
Work on exercises 60分
9. Human Locomotion: Walking


Human Locomotion: Running-1
Read Power point presentation and textbook 340分
Work on exercises 60分
10. Human Locomotion: Running-2

Biomechanics Tools (EMG, Motion capture, Simulation software etc.)
Read Power point presentation and textbook 340分
Work on exercises 60分
11. The functioning of neurons and neuronal circuits in the brain



Neuronal electrophysiology, neural codes, neural plasticity, sensory processing
Read Power point presentation and textbook 240分
Work on exercises 60分
12. Neural network architectures and learning algorithms Read Power point presentation and textbook 260分
Work on exercises 60分
13. Neural networks as dynamical and statistical systems Read Power point presentation and textbook 340分
Work on exercises 60分
14. Final examination and discussion on the course Preparation for Final examination 320分
Total. - - 5300分
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Midterm,quiz, presentation Final Total.
1. 10% 20% 30%
2. 15% 20% 35%
3. 5% 15% 20%
4. 5% 10% 15%
Total. 35% 65% -
Evaluation method and criteria
Mid-term exam, quiz, presentation on exercises etc. will contribute 35% of your grade.
Final exam will contribute 65% of your grade.
Those who get at least 60% of the full score will pass this course.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Biophysics, R. Glaser, Springer- Verlag Berlin Heidelberg
M. B. Jackson, “Molecular and Cellular Biophysics”, Cambridge University Press, 2006
Prerequisites
Knowledge in thermodynamics, electromagnetism, biology
Office hours and How to contact professors for questions
  • Students are asked to contact through email and make appointments. Email:uma@shibaura-it.ac.jp
  • Students are asked to contact through email and make appointments. Email:aarya@shibaura-it.ac.jp
  • Students are asked to contact through email and make appointments. Email:mshahrol@shibaura-it.ac.jp
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic interpersonal skills
Active-learning course
About half of the classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 3.GOOD HEALTH AND WELL-BEING
  • 4.QUALITY EDUCATION
  • 13.CLIMATE ACTION
  • 14.LIFE BELOW WATER
  • 15.LIFE ON LAND
Last modified : Tue Mar 12 04:06:55 JST 2024