Undergraduate Program Status
Elective | Data Science - Specialization |
The aim of this course is to get acquainted with the basic concepts of network science, including elements of the theory of graphs, dynamics of and on networks, as well as with applications from biology, sociology, economics and other fields.
By successfully completing the course, students will be able to: 1. Recognize the importance of the network approach in their own fields of studies; 2. Map out networks from data on complex systems in diverse fields of applications and use simple visualization softwares; 2. Carry out statistical analysis of complex networks regarding the basic characteristics; 3. Measure dynamic properties of processes on networks.
Homework (10%), Mid-term (40%), Final (50%)
Introduction to Calculus or equivalent
Introduction to Linear Algebra or equivalent
Introduction to Statistics or equivalent