Courses Bachelor Display 2023-2024

Course Description To PDF
Course title Networks and Simulations
Course code EBC2184
ECTS credits 6,5
Assessment Whole/Half Grades
Period Start End Mon Tue Wed Thu Fri
4 5-2-2024 28-3-2024 X X
Level no level
Coordinator Leto Peel
For more information:
Language of instruction English
Students will learn:
1. How to use networks to represent complex data
2. How to simulate networks and processes on them
3. How to apply computational tools of network sciences
4. How to interpret patterns and other findings in network analys
Network science is a thriving and increasingly important cross-disciplinary domain that focuses on the representation, analysis, and modeling of complex social, biological and technological systems as networks or graphs. Modern data sets can often be represented by some kind of network. Networks can be temporal, with edges and nodes appearing, disappearing and changing their characteristics over time. Nodes can have locations, directions, memory, demographic characteristics, content, and preferences. Edges can have lengths, directions, capacities, costs, durations, and types. You will learn how to model and understand networks and their rich data using the mathematics of networks and the computational tools for identifying and explaining the patterns they contain. You will also learn about the wide range of applications of network science and some of the insights this field has allowed us to gain.
The Atlas for the Aspiring Network Scientist by Michele Coscia (2021).
Teaching methods (indicative; course manual is definitive) PBL / Presentation / Lecture / Assignment / Groupwork / Research
Assessment methods (indicative; course manual is definitive) Final Paper / Attendance / Participation / Assignment / Presentation
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Bachelor Business Analytics Year 3 Elective Course(s)