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: 05.03.2021 - 14.05.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Jari Saramäki
Teacher in charge (applies in this implementation): Jari Saramäki
Contact information for the course (valid 15.02.2021-21.12.2112):
For contacting the course staff, please use the course mailbox cs-e5700@aalto.fi.
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Workload
Valid 01.08.2020-31.07.2022:
Contact teaching and group work (6 x 4 h), independent studying (research articles), independent group work. Mandatory attendance.
DETAILS
Study Material
Valid 01.08.2020-31.07.2022:
The students will be provided with articles and materials related to their group work topics.
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
Replaces the former course BECS-E4200 Hands-on Network Analysis.
Prerequisites
Valid 01.08.2020-31.07.2022:
Compulsory: CS-E5740 / Becs-114.4150 Complex Networks.
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- Teacher: Saramäki Jari