Syllabus

LEARNING OUTCOMES

This course is intended to be taken after CS-E5740 Complex Networks; it will deepen the students knowledge on network analysis techniques and dealing with empirical network data, including network visualization, Python programming, and statistical analysis. Students will also learn how to conduct team research and how to present their findings to their peers.

Credits: 5

Schedule: 01.03.2024 - 10.05.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Petter Holme

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:

  Project work in groups

Assessment Methods and Criteria

• valid for whole curriculum period:

  Pass/fail. Pass = active participation in projects as member of a group, presence at project meetings and (oral) presentation of project results in these meetings.

Workload

• valid for whole curriculum period:

  Contact teaching and group work (6 x 4 h), independent studying (research articles), independent group work. Mandatory attendance. 

DETAILS

Study Material

• valid for whole curriculum period:

  The students will be provided with articles and materials related to their group work topics.

Substitutes for Courses

• valid for whole curriculum period:

  Substitutes for Courses

Prerequisites

• valid for whole curriculum period:

  Prerequisites

FURTHER INFORMATION

Further Information

• valid for whole curriculum period:

  Teaching Language : English

  Teaching Period : 2022-2023 Spring IV - V
  2023-2024 Spring IV - V

  Enrollment :

  Registration for Courses: In the academic year 2021-2022, registration for courses will take place on Sisu (sisu.aalto.fi) instead of WebOodi.

Description