This course introduces how to select topics, collect information, analyse materials and conduct speeches/debate. Students are expected to develop critical thinking and presentation skills within a specified time frame.

05125670

Students should have an intermediate level of proficiency in the Japanese language as the course is conducted in Japanese.

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Ordinary differential equations (ODE) are a fundamental part of the mathematical vocabulary used to describe natural phenomena. The course emphasizes classical methods for finding exact solution formulas. We will also introduce numerical methods which yield precise but approximate quantitative information, and qualitative methods which provide a rich geometric understanding of differential equations.

ODE is where you start to see the power of calculus, the ability to make predictions. Yes, with calculus you can predict the future! Well, more precisely, given the physical laws of the universe (or the markets, or your favorite system), differential equations allow us to forecast how it will evolve into the future. They are indispensable in my field of research, where we work with ODE’s complicated sibling (partial differential equations, which involve multiple dimensions) to predict the response of the weather and climate systems to external forcing, i.e., our greenhouse gas emissions. They are invaluable across the physical sciences.

061B0010

Calculus I, Linear Algebra.

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The course will serve as a bridge between the study of mathematics and the applications of mathematics to various fields. The course affords the student an early opportunity to see how the pieces of an applied problem fit together. The student investigates meaningful and practical problems chosen from common experiences encompassing many academic disciplines, including the mathematical sciences, operations research, engineering, and the management and life sciences.

58190150

Calculus, College Physics, Probability and Statistics, Differential Equations, Linear Algebra, Programming Language.

Pursuit of Mathematical Truth - should be approached with utmost professionalism and dedication. Honor the rich history and knowledge in mathematics by delving into the realm of modeling with purpose and respect. Embrace the challenges and complexities presented by real-world problems, using mathematical tools and techniques to unravel hidden truths. Maintain academic integrity by conducting thorough research, exploring various methodologies, and striving for innovative solutions. Let your passion for mathematics propel you forward as you embark on a quest for mathematical truth, unraveling its mysteries and contributing to the advancement of knowledge in this noble field.

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Global Climate Change is a change in the statistical distribution of weather patterns when that change lasts for an extended period of time, and its impacts on nature, economy and communities. Climate change may refer to a change in average weather conditions, or in the time variation of weather around longer-term average conditions. This course focuses on global climate changes in marine and coastal environment within recent 100 years. It mainly introduces the changes of coastal environment under the climate changes, and the major challenges in the marine environment and major solutions of environmental protections.The causes and mechanisms of climate change will be explained, as the changes of atmosphere, hydrology, energy and coastal ecosystems will be analyzed. In conjunction with this, the impacts of climate change (such as increased temperature, changing precipitation pattern, ice melt and sea level rise) and human activities (such as land clearance, deforestation and reservoirs) on the carbon dynamics in the coastal zones are further discussed.

74121100

Natural or environmental sciences background.

The course requires attendance and coursework.

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This course is a basic branch of robotics. In this course, students will study the fundamental concepts, theories, and engineering know-how of mechanical operations in industrial robots. It covers essential knowledge about robotic manipulators, including kinematics, differential kinematics, statics, trajectory planning, dynamics, motion control, and force control, etc. This course focus on the integration of theory and practice. Students will develop, test, and verify the algorithm on robotic modeling, planning, and control, to achieve specific or customized tasks, both on simulation environment and an experiment platform with 6-DOF articulated robot arms.

86120360

Physics/Linear Algebra/Calculus.

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