Admission requirements
This course directly builds on the Fall MSc course 4343SNACS Social Network Analysis for Computer Scientists, and in particular invites highly motivated students who did well in that course (e.g., grade >= 8.0), to participate in this course. At most 24 students can participate in this course.
Description
Network science can be seen as a specialization of data science that focuses on network data, or alternatively, as a particular method in complexity research. Typically the network perspective reveals patterns and emerging phenomena that are not visible when the mere individual objects in the data are studied. The field is also referred to as social network analysis or complex networks. In this course, which critically builds upon the theory and skills that students obtained in the Fall MSc course 4343SNACS Social Network Analysis for Computer Scientists course, covers the latest research in network science.
Course objectives
Explain a scientific paper in Network Science and communicate this in the form of a presentation.
Critically analyze and position a state-of-the-art approach in Network Science proposed in the literature.
Propose a scientific contribution in the field of Network Science, e.g., a replication study, new algorithm, modification of an existing technique, etc.
Collaboratively write a scientific paper in the area of Network Science in which one or more existing or newly designed approaches are analyzed and compared.
Participate in academic discussion on a novel topic in Network Science.
Schedule
The most recent timetable can be found at the Computer Science (MSc) student website.
In MyTimetable; you can find all course and programme schedules; allowing you to create your personal timetable. Activities for which you have enrolled via MyStudyMap will automatically appear in your timetable.
Additionally; you can easily link MyTimetable to a calendar app on your phone; and schedule changes will be automatically updated in your calendar. You can also choose to receive email notifications about schedule changes. You can enable notifications in Settings after logging in.
Questions? Watch the video; read the instructions; or contact the ISSC helpdesk.
Note: Joint Degree students from Leiden/Delft need to combine information from both the Leiden and Delft MyTimetables to see a complete schedule. This video explains how to do it.
Teaching method
Lectures
Seminars
Research projects resulting in a course paper
Peer reviews
Assesment method
During the course, students work on one topic from the state-of-the-art in network science. They do so in teams, but may be graded individually.
Grade composition
10% - In-person presence throughout the course
20% - First presentation
20% - Second presentation
50% - Course project (paper)
Other assessment aspects
All components of the grade should be sufficient (>= 5.5) in order to pass the course.
Participation in two in-class peer reviews halfway through the course is mandatory.
Students are expected to know the rules regarding plagiarism and originality of handed in work. Students may be subjected to a short individual oral evaluation to confirm the originality of handed in work.
Partial grades that are sufficient can not be carried on to the next year.
A resit opportunity exists for the course project, but not for the other components.
Resit, review & feedback
Students receive detailed feedback on a version of their course project throughout the course.
A resit opportunity exists for the course project, but not for the other components. In case of an insufficient grade upon the original final handin opportunity, feedback on what to improve will be given, which students are expected to incorporate in their retake of the project. A moment to discuss this feedback in person will be communicated.
Reading list
We use recent papers from the literature (freely available online through university journal subscriptions).
Registration
As a student; you are responsible for enrolling on time through MyStudyMap.
In this short video; you can see step-by-step how to enrol for courses in MyStudyMap.
Extensive information about the operation of MyStudyMap can be found here.
There are two enrolment periods per year:
Enrolment for the fall opens in July
Enrolment for the spring opens in December
See this page for more information about deadlines and enrolling for courses and exams.
Note:
It is mandatory to enrol for all activities of a course that you are going to follow.
Your enrolment is only complete when you submit your course planning in the ‘Ready for enrolment’ tab by clicking ‘Send’.
Not being enrolled for an exam/resit means that you are not allowed to participate in the exam/resit.
Contact
Course website: https://liacs.leidenuniv.nl/\~takesfw/nsseminar