LEARNING OUTCOMES
This course will provide students an overview on mathematical topics and tools in network science. The students will develop skills in doing pen-and-paper calculations and an understanding of analytical methods that are common in network science.
Credits: 5
Schedule: 13.01.2022 - 17.02.2022
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Mikko Kivelä
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
Mathematical methods and their use in networks science. Topics are mostly related to large random graphs and include common approximations and assumptions in network science, network models, component size distributions, percolation, branching processes, excess degree distributions, probability generating functions, master equations, rate equations, growing network models, processes on networks, exponential random graphs, and stochastic block models. The project can be on a recent research topic.
Assessment Methods and Criteria
valid for whole curriculum period:
Grades (1-5) are given on the basis of weekly mandatory exercises and project work, there is no exam.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Period:
2020-2021 Spring III
2021-2022 Spring III
Course Homepage: https://mycourses.aalto.fi/course/search.php?search=CS-E5745
Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.