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||Coding exercise|
|Class 3||Advanced topics on graph database||Graph theory|
|Class 4||Coding exercise|
|Class 5||Advanced topics on graph learning||Machine learning|
|Class 6||Coding exercise|
|Class 7||Advanced topics on graph neural network (I)||Neural network|
|Class 8||Coding exercise|
|Class 9||Advanced topics on graph neural network (II)||Neural network|
|Class 10||Coding exercise|
|Class 11||Advanced topics on high performance computing and graph learning for masssive graphs||High performance computing|
|Class 12||Coding exercise|
|Class 13||Advanced topics on graph learning and use cases||Graph theory|
|Class 14||Coding exercise|
Specified by lecturers
Will be based on exercise and report.
The details will be announced later.