851-0254-00L  Network Science Project

SemesterSpring Semester 2021
LecturersU. Brandes, C. Stadtfeld
Periodicityyearly recurring course
CourseDoes not take place this semester.
Language of instructionEnglish
CommentIt is advisable to take at least one of 851-0252-06 Introduction to Social Networks, 851-0252-15 Network Analysis, or 851-0252-13 Network Modeling beforehand.

Proficiency in programming and data analysis are helpful but can be compensated for by a firm understanding of the foundations relevant for the particular study.



Courses

NumberTitleHoursLecturers
851-0254-00 PNetwork Science Project
Does not take place this semester.
2 hrsU. Brandes, C. Stadtfeld

Catalogue data

AbstractStudy project involving network data in a selected field.
ObjectivePractical experience with, and a contextual understanding of, the links between a research question, domain-specific theory, and computational methods in network science.
ContentIndividually or in small groups, students carry out a project in which an original research question is addressed using network data. While network approaches are increasingly common in domains from archaeology and digital media to transportation and zoology, applications are often driven by the availability of (found, observational) data.

Special emphasis is therefore placed on the consideration of domain-specific theory and the possibility to adapt data collection and mathematical methods accordingly. Studies may vary by domain of interest and the relative importance of theory, data, methods, implementation issues, and other aspects. In particular, the focus may be on data collection instruments or theory-inspired method development and implementation.
Prerequisites / NoticeProject topics will be introduced during an initial meeting on Friday, March 5, 16:15-17:45, in WEP J 11. Subsequent meetings with the respective project teams will be by appointment.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersU. Brandes, C. Stadtfeld
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Data Science MasterInterdisciplinary ElectivesWInformation
Doctoral Department of Humanities, Social and Political SciencesDoctoral and Post-Doctoral CoursesWInformation