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CS 414
Network Science

Faculty Faculty of Engineering and Natural Sciences
Semester Spring 2025-2026
Course CS 414 - Network Science
Time/Place
Time
Week Day
Place
Date
14:40-16:30
Mon
SBS-G013
Feb 16-May 22, 2026
10:40-11:30
Wed
SBS-G013
Feb 16-May 22, 2026
Level of course Undergraduate
Course Credits SU Credit:3, ECTS:6, Engineering:6
Prerequisites CS 210 or DSA 210
Corequisites -
Course Type Lecture

Instructor(s) Information

Onur Varol

Course Information

Catalog Course Description
Network science is a framework to analyze the complex systems of technological, biological, and cultural networks. This course will present the fundamentals of networks, mathematical toolsets to study and characterize networked data, and develop skills for network thinking. Special network topics such as network models, communities, and dynamics on networks will be presented.
Course Learning Outcomes:
1. To identify, construct, and analyze networks using appropriate network models and algorithms.
2. To learn mathematical concepts to characterize networks and analytically study properties of data.
3. To obtain hands-on experience with network analysis and visualization tools.
4. To learn modeling dynamical processes on the networks such as information diffusion and epidemic spreading.
5. To learn applications of network on various field and interdisciplinary research by reading supplementary reading materials.
Course Objective
Sustainable Development Goals (SDGs) Related to This Course:
Good Health and Well-being

Course Materials

Resources:
- Menczer, Fortunato, and Davis. A First Course in Network Science
- Barabasi, Albert-Laszlo. Network science. Cambridge University Press, 2016. http://networksciencebook.com/
- Coscia, Michele. The Atlas for the Aspiring Network Scientist https://www.networkatlas.eu/
- Newman, Mark. Networks. Oxford university press, 2018.
Technology Requirements:

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