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 instructors.
The aim of this course is to broaden students' perspectives through lectures of advanced topics by active front line scientists.
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 |
Instructors give lectures about selected advanced topics.
Course schedule | Required learning | |
---|---|---|
Class 1 | Various distributions and related stochastic models. | Study of advanced topics |
Class 2 | Poisson processes and their properties. | Study of advanced topics |
Class 3 | Filtration and martingale in stochastic processes. | Study of advanced topics |
Class 4 | Counting processes, hazard functions, and martingale transform. | Study of advanced topics |
Class 5 | Random censorship model, survival function, and Kaplan-Meier estimator. | Study of advanced topics |
Class 6 | Expectation, variance, and asymptotic properties of martingale transform. | Study of advanced topics |
Class 7 | Comparison of two groups in survival analysis: Linear rank statistics. | Study of advanced topics |
Class 8 | Introduction to large-scale graph analytics | Study of advanced topics |
Class 9 | Large-scale graph database | Study of advanced topics |
Class 10 | Large-scale graph analytics and high-performance computing | Study of advanced topics |
Class 11 | Integration of large-scale graph analytics and machine learning | Study of advanced topics |
Class 12 | Applications of graph-based machine learning | Study of advanced topics |
Class 13 | Deep learning-based graph embedding method | Study of advanced topics |
Class 14 | Introduction to knowledge graph | Study of advanced topics |
Class 15 | Knowledge graph and its application to articial intelligence | Study of advanced topics |
None
Specified by lecturers
Will be based on exercise and report.
None
The details will be announced later.