Teaching plan for the course unit

General information

Course unit name: Analysis of Complex Networks

Course unit code: 572675

Academic year: 2021-2022

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

- Lecture	Face-to-face and online	17.5
- Lecture with practical component	Face-to-face and online	4
- Problem-solving class	Face-to-face and online	4
- IT-based class	Face-to-face and online	1
- Student presentation and discussion	Face-to-face and online	3.5

Supervised project

Independent learning

Competences 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

Reading and study resources

Consulteu la disponibilitat a CERCABIB

Book

Estrada, E. ; Knight, P. A first course in network theory. New York, NY : Oxford University Press, 2015.