In this intensive course, advanced topics in the wide range of informatics such as mathematical information sciences, intelligence sciences, life-sciences and socio-economic sciences are introduced by visiting lecturers.
The aim of this course is to broaden students' perspectives by lectures of advanced topics by active scientists in the front line.
Students can obtain knowledge about advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.
mathematical information sciences, intelligence sciences, life sciences, socio-economic sciences
|✔ Specialist skills||Intercultural skills||Communication skills||✔ Critical thinking skills||Practical and/or problem-solving skills|
Lectures give intensive lectures about selected advanced topics.
|Course schedule||Required learning|
|Class 1||Advanced topics on graph algorithms||Graph theory|
|Class 2||Advanced topics on graph database||Graph theory|
|Class 3||Advanced topics on graph learning||Machine learning|
|Class 4||Advanced topics on graph neural network (I)||Neural network|
|Class 5||Advanced topics on graph neural network (II)||Neural network|
|Class 6||Advanced topics on high performance computing and graph learning for massive graphs||High performance computing|
|Class 7||Advanced topics on graph learning and use cases||Graph theory|
|Class 8||Motivation for Monte Carlo simulation / Rejection algorithm||Study of advanced topics|
|Class 9||Markov chain Monte Carlo method / Metropolis algorithm||Study of advanced topics|
|Class 10||Discrete structure and Gibbs sampler / Gibbs algorithm||Study of advanced topics|
|Class 11||How long should you run it? / Perfect sampling algorithms||Study of advanced topics|
|Class 12||Hidden Markov model and dynamic decision making / Viterbi algorithm||Study of advanced topics|
|Class 13||Quantum computation and sampling / Shor’s algorithm||Study of advanced topics|
|Class 14||Brownian motion and intertwining dual / Pitman-type algorithm||Study of advanced topics|
Specified by lecturers
Will be based on exercise and report.
Toshiaki MUROFUSHI (murofusi[at]c.titech.ac.jp)
The details will be announced later.