Enrolment options

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

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: 28.02.2025 - 09.05.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Jari Saramäki

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. Hands-on analysis of network-related data.

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
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV - V
    2025-2026 Spring IV - V

    Registration:

    Students of Life Science Technologies have priority.

Guests cannot access this workspace. Please log in.