Understand the basics of integers, plane curves, mathematical optimization, discrete probabilities, etc., which are part of the curriculum of the Department of Mathematical and Computational Science. In these fields, we construct mathematical models that extract only the essence of real problems, and develop mathematical and probability theories that are conscious of algorithms that implement this model on a computer. Among them, the explanation will focus on themes that do not use much specialized background knowledge.
Understand the basics of integers, plane curves, mathematical optimization, discrete probabilities, etc., which are part of the curriculum of the Department of Mathematical and Computational Science.
Integers, plane curves, mathematical optimizations, discrete probability
|✔ Specialist skills
|Critical thinking skills
|✔ Practical and/or problem-solving skills
Four faculty members will give lectures on each topic in omnibus format.
|Quantum algorithm and Constrained optimization by linear approximation method
|Apply a basic optimization method to understand optimization methods and their applications.
|To understand probability on discrete space and its applications.
|Discrete random variables and expectations
|To understand discrete-valued random variables and their applications.
|Topics on Plane Curves 1
|Fundamental properties of plane curves, length, curvature.
|Topics on Plane Curves 2
|Rotation index, regular homotopy, etc
|On integers 1
|Some topics on multiplicative number theory will be presented.
|On integers 2
|Some topics on additive number theory will be presented.
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.