Teaching plan for the course unit

 

 
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General information

 

Course unit name: Analysis of Complex Networks

Course unit code: 572675

Academic year: 2023-2024

Coordinator: Albert Diaz Guilera

Department: Faculty of Mathematics and Computer Science

Credits: 3

Single program: S

 

 

Estimated learning time

Total number of hours 75

 

Face-to-face and/or online activities

30
 

-  Lecture with practical component

Face-to-face and online

  

30

Supervised project

15

Independent learning

30

 

 

Competences / Learning outcomes to be gained during study

 

  • To know how to hypothesize and develop the intuition about a data set using exploratory analysis technique
  • To understand, create, and modify analytic and exploratory algorithms operating over data.
  • To verify and quantify the validity of an hypothesis using data analytics.

 

 

 

 

Learning objectives

 

Referring to knowledge

- Deal with data generated in complex network sources: Twitter, 

- Deal with data from sources that can be cast in form of networks

- Characterize both types of networks

- Understand simple network models that can be used as reference models for complex data

- Deal with simple dynamical processes running on top of complex networks

 

 

Teaching blocks

 

1. Temari

*  1. Big networks. Big data

2. Network data. Representations

3. Network characterization. Microscale

4. Network characterization. Macroscale.

5. Network models: random graphs, small worlds, scale-free networks

6. Network characterization. Mesoscale.

7. Network visualization

8. Time dependent networks

9. Dynamics on networks

1.1. Anàlisi de xarxes complexes

 

 

Teaching methods and general organization

 

Lectures by the teacher

Proposed hands-on work with real data. 

Students will use existing software or can develop their own code to generate appropriate tools for dealing with "network data"

 

 

Official assessment of learning outcomes

 

Based on the works proposed by the teacher

Presentations to the rest of the students

Final work of individual choice compressing different aspects of the course material

 

Examination-based assessment

Oral examination