Academics
School of Regional Innovation and Social Design Engineering
Intelligent Machines and
Biomechanics Course Program
In addition to dynamics, a basis of mechanical engineering, this program offers applied courses on control
engineering, medical engineering, robotics and other areas. It aims at cultivating students capable of
identifying and solving problems facing a certain region or society and fostering engineers with broad but
specialized perspectives and application skills.
Faculty Interview
Ullah SharifProfessor
◎Profile: Obtained a doctoral degree in mechanical engineering from the Graduate School of Science and Engineering, Kansai University. Conducting research on 3D printing, Industry 4.0, precision processing, development of sustainable products, design theory and the decision-making process.
Strive to become a superb engineering
talent capable of comprehending and
accomplishing various things.
This course nurtures students’ basic academic abilities in mechanics and information-related domains as well as matters related to the living body through such subjects as material mechanics, mechanical dynamics, manufacturing engineering, bionics, medical engineering, robotics, computer science and smart agriculture. Engineers capable of both comprehending and succeeding at challenges are needed today. In this program, students will acquire superb engineering capabilities by learning about artificial intelligence and robot technologies, among others, toward becoming specialists in various fields. Campus life offers you opportunities to take on various challenges. It is my wish to see students grow into adults who can come up with flexible and creative ideas, while brushing up skills through not only engineering studies, but also club activities, part-time work, reading, mastering a foreign language and studying abroad.
Curriculum
- Mechanics of Materials I
- Dynamics of Machine Systems I
- Basic Thermodynamics
- Basic Fluid Mechanics
- Control Engineering
- Mechanical Design I
- Computer Programming I
- Statistical Processing Method
- Fourier Analysis
- Bio-measurement Engineering
- Practical English
- Experiments of Intelligent Machines and Biomechanics I
- Comprehensive Engineering on
- Intelligent Machines and Biomechanics I
- Mechanics of Materials II
- Dynamics of Machine Systems II
- Basic Electric Engineering
- Biomaterials
- Computer Programming II
- Introduction to Bioengineering
- Mechanical Design II
- Introduction to Computer-Aided Design
- Computer Aided Engineering
- Medical Engineering
- Robotics
- Artificial Intelligence
- Experiments of Intelligent Machines and Biomechanics II
- Comprehensive Engineering on Intelligent
- Machines and Biomechanics II
- Biomolecular Engineering
- Basics of Image Processing
- Essential English Expressions in
- Scientific Research and Engineering
- Creative Engineering
- Computational Mechanics
- Theory of Elasticity and Plasticity
- Practice of Accurate Processing
- Introduction to Engineering Materials
- Introduction to Manufacturing Processes
- Circuit Engineering for Control
- Introduction to Computer-Aided Manufacturing
- Mechatronics
- Agricultural Machine Engineering
- Laboratory Seminar
- Applied Thermodynamics
- Applied Fluid Mechanics
- Production and Quality Control Engineering
- Bachelor’s Thesis
- Topics in Intelligent Machines and Biomechanics
*The description refers to the 2020 academic year curriculum and is thus subject to change.
Lecture
-
CAE (Computer-aided engineering)
Students learn about CAE technology essential for manufacturing today. This course consists of basic lectures on CAE as well as practical exercises using analysis software actually used in the industry.
-
Mechatronics
Students learn the basics of actuators, sensors and power transmission.
Students are grouped into small teams, and each will make an autonomous mobile robot. Then they compete in a contest with their robot, which is designed to have themdevelop engineering skills.