2024 Faculty Courses School of Engineering Undergraduate major in Systems and Control Engineering
Instrument and Information Technology
- Academic unit or major
- Undergraduate major in Systems and Control Engineering
- Instructor(s)
- Masayuki Tanaka / Kazuhiro Nakadai / Takashi Shibata / Yoko Sasaki / Yoshihisa Ijiri
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Fri
- Class
- -
- Course Code
- SCE.M351
- Number of credits
- 100
- Course offered
- 2024
- Offered quarter
- 4Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
With the recent development of machine learning, the framework of sensing has been expanding. Students will learn the principles of various sensors used in such sensing and the measurement information systems based on the sensors. Students will also deepen their understanding of advanced sensing systems used in social infrastructure and automobiles.
Course description and aims
Understand principle of fundamental sensors and their applications. Acquirement of knowledge on advanced system structure.
Student learning outcomes
実務経験と講義内容との関連 (又は実践的教育内容)
In this lecture, teachers with research experiences teach the basic concept which can be applied to new technology changing every day.
Keywords
Principle of sensors, measurement information systems, social infrastructure
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Omnibus lecture by part-time lecturers
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | About this lecture. What is "sensor"? | Understand necessity of this lecture. |
| Class 2 | Visual processing and sensing(1) | Understand the fundamentals of sensing technology for image processing. |
| Class 3 | Visual processing and sensing(2) | Understand the application of image processing to measurement information systems. |
| Class 4 | Multimodal scene recognition and sensing(1) | Understand the fundamentals of sensing technology for multimodal scene recognition. |
| Class 5 | Multimodal scene recognition and sensing(2) | Understand the application of sensing technology for multimodal scene recognition. |
| Class 6 | Generative AI and LLM(1) | Understand the fundamentals of generative AI and large-scale language models. |
| Class 7 | Generative AI and LLM(2) | Understand the application of generative AI and large-scale language models. |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to course materials and so on.
Textbook(s)
N/A
Reference books, course materials, etc.
Handouts
Evaluation methods and criteria
report
Related courses
- N/A
Prerequisites
N/A