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- School of Science
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- School of Engineering
- Instructor(s)
- Miura Satoshi Sampei Mitsuji Matsuura Daisuke Tanaka Hiroto Sakamoto Hiraku Jiang Ming Hoshiba Kotaro Onishi Yuki Kuramoto Akisue
- Class Format
- Lecture / Exercise (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Tue5-6(S2-201(S224), I1-256(I121),S5-206, S5-210)
- Group
- h
- Course number
- XEG.B101
- Credits
- 1
- Academic year
- 2023
- Offered quarter
- 1Q
- Syllabus updated
- 2023/3/27
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course aims to become a bridge between general education at high school and specialized education in the subjects of No.200 or higher. This course also aims to cultivate not only basic knowledge of engineering but also sense and attitude for problem solving so that the freshmen of School of Engineering can learn actively specialized subjects after sophomore.
By taking all Engineering literacy I-IV, the students experience the following all seven subjects in Engineering Literacy.
【Water Rocket Development and Control】
【Gliding Locomotion Robot "Gyotaro-IIIa"】
【AI-Drone (Machine Learning and Motion Control)】
【Control】
【Wireless electric car with microcomputer】
【Communication, Computation, and Intelligent Information Processing】
【Industrial Engineering and Economics（Mechanism Design and Data Analysis)】
Student learning outcomes
By completing this course, students will be able to:
【AI-Drone (Machine Learning and Motion Control)】
1) Understand the basic principles of model generation by machine learning.
2) Understand the basic principles of feedback control through drones.
3) Understand the importance of real objects and hands-on experience through autonomous drone flight.
【Control】
1) understand the basic principle of measurement by sensors.
2) understand the basic principle of feedback control.
3) master the design method of control systems.
Keywords
【AI Drone (Machine Learning)】
Machine learning, Artificial Intelligence, Deep learning, Neural Network, Drone, Control
【Control】
Measurement, Control, System
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
【AI Drone (Machine Learning)】
Build a drone that flies autonomously by estimating markers in images with models generated from machine learning. Through the experience with these real objects, students will learn the importance of real-life experience and verification.
【Control】
This course introduces the basic principle of feedback control using the signal measured by sensors, and holds a competition to help them to understand the effectiveness using the line tracing car.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction: Aim of the course, notice for students, setup of computer systems. | A student should have an overlook of the course and set up his/her computer system for the course. |
| Class 2 | Machine learning | "Understand the basic principles of machine learning and how to build models. |
| Class 3 | Control of a drone | Understand feedback control using drones. |
| Class 4 | Verification of autonomous drone flight | Understand the importance of real-world verification through image inference and autonomous drone flight. |
| Class 5 | Measurement, sensor, and collision avoidance | Understand how sensors work and how collision can be avoided. |
| Class 6 | Design control system for line tracing | Carry out the design of control system for line tracing. |
| Class 7 | Competition: Evaluation and Award Ceremony | Evaluate the performance of the control through the line tracing competition. |
Out-of-Class Study Time (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 textbooks and other course material.
Textbook(s)
None required
Reference books, course materials, etc.
Documents will be distributed
Assessment criteria and methods
【AI drone (machine learning)】
Evaluate the report and the result of the autonomous drone flight.
【Control】
Evaluate the report and the result of the competition.
Related courses
- XEG.B101 ： Engineering Literacy I
- XEG.B102 ： Engineering Literacy II
- XEG.B103 ： Engineering Literacy III
- XEG.B104 ： Engineering Literacy IV
Prerequisites (i.e., required knowledge, skills, courses, etc.)
This lecture is only for the freshmen of School of Engineering.
Students are strongly recommended to take all Engineering literacy I-IV to experience all subjects in Engineering Literacy.
