Mechanical Engineering

This course provides individual research training for students in the Junior Year Engineering Program through the experience of belonging to a specific laboratory at Tohoku University. Students are assigned to a laboratory with the consent of the faculty member in charge. They participate in various group activities, including seminars, for the purposes of training in research methods and developing teamwork skills. The specific topic studied depends on the instructor in charge of the laboratory to which each student is assigned. The methods of assessment vary with the student's project and laboratory instructor. Students submit an abstract concerning the results of their individual research each semester and present the results near the end of the program.

This course studies Machine Learning, an important sub-area of Artificial Intelligence. It is designed to help students understand some key technologies such as linear classifiers, support vector machines, decision trees and neural networks, through the process of applying them to actual data and developing Python programs. 

This course aims to instruct students on machine learning and basic skills on data processing. Students will be expected to read and write Python programs and modules by the end of the course.

This special lab course nurtures international students' creative competency by offering them opportunities for learning in communities of research practice. The student's supervisor arranges the research topic. Students give three oral presentations during the study period. In the presentations, students integrate ideas and analyses on laboratory results into creative and academically coherent work. FrontierLab program coordinators and supervisors attend and evaluate the final oral presentation.

This course is part of the Laurea Magistrale program. The course is intended for advanced level students only. Enrollment is by consent of the instructor. The course is divided in two modules. The aim of the first module is to provide knowledge about vehicle dynamics. Theoretical and numerical approaches are discussed to this end, as tools that allow students to predict the performance of cars in terms of longitudinal dynamics, lateral dynamics, handling, comfort, and stability. The aim of the second module is to provide the theoretical basis and the practical skills required to design embedded hardware and firmware compliant with industrial standards (safety, interoperability, maintainability). In addition, model-based design and automatic code generation using Matlab/Simulink is considered.

The course covers hydrogen as an energy carrier, how to produce it, and how to store it. The role of hydrogen in future energy systems is discussed. Electrochemical conversion in batteries and fuel cells is described and analyzed. All major transport processes, such as momentum, heat, mass, ion and current, and thermal management issues are presented. System integration is described. Properties and characteristics of energy-relevant materials and their role in electrochemical devices are treated. The relevance of energy systems and the transportation sector is discussed. Various engineering problems are presented.

This lecture intends to understand the basic equations of fluid flow in porous media as reservoirs, and to master the fundamentals about reservoir engineering for analyzing quantitatively mass and heat transport phenomena in underground structures containing fracturing and multiphase flow.
Numerical analysis can provide fundamental information on the production of oil and gas, the extraction of geothermal energy, and the problems of soil contamination and carbon sequestration. A lot of practical examples on the topics are explained in this class. 
        
It is recommended to master fluid dynamics in advance, but this is not compulsory so that we explain easily to master the phenomena. 

This course emphasizes hands-on laboratory experience and teaches students research background, relevant theories, and basic laboratory techniques relevant to their field of study. Students formulate a research plan, implement it by conducting experiment-based research, and convey the results in scholarly presentations. Students submit a written research report at the end of the course.

This course provides research training for students through the experience of belonging to a specific laboratory at the University of Tokyo. Students carry out an original research project under the guidance of assigned faculty members. Through a full-time commitment, students will be able to improve their research skills by applying the basic principles and knowledge from the literature related to the research questions, and by developing the skills to collect, interpret, and critique data in order to resolve a research question or evaluate a design for a research project. At the conclusion of the program, students submit their final work (paper, presentation, report etc.) as instructed by their lab supervisors

In this course students acquire a broad knowledge base and develop analytical and critical thinking skills. Students actively participate in seminars, read assigned texts and research papers, and analyze research data. Students also discuss results obtained in their own experiments with peers and senior laboratory members.

This course emphasizes hands-on laboratory experience and teaches students research background, relevant theories, and basic laboratory techniques relevant to their field of study. Students formulate a research plan, implement it by conducting experiment-based research, and convey the results in scholarly presentations. Students submit a written research report at the end of the course.