MS-E1052 - Combinatorial Network Analysis D, Lecture, 23.10.2023-30.11.2023

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

A student who successfully completes the course will be able to: compute combinatorial quantities related to graphs, define and use centrality measures to rank nodes in a graph, know basic spectral properties of adjacency matrices, apply matrix theoretical tools to clustering problems for a network.

Credits: 5

Schedule: 23.10.2023 - 30.11.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Vanni Noferini

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:

    Review of basic graph theory, spectral theory for adjacency matrix and graph Laplacian, centrality measures, deformed graph Laplacian, spectral clustering.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Project+presentation

Workload

  • valid for whole curriculum period:

    19 hours lectures, 5 hours exercises, 120 hours individual study

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 No teaching
    2023-2024 Autumn II

    Enrollment :

    Registration takes place in Sisu (sisu.aalto.fi).

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Aalto University Code of Academic Integrity and Handling Violations Thereof