Complex Networks Code:  M0.533    :  6
View general information   Description   Professional fields to which it applies   Prior knowledge   Information prior to enrolment   Content   View the learning resources used in the subject   Guidelines on assessment at the UOC   View the assessment model  
This is the course plan for the second semester of the academic year 2023/2024. To check whether the course is being run this semester, go to the Virtual Campus section More UOC / The University / Programmes of study section on Campus. Once teaching starts, you'll be able to find it in the classroom. The course plan may be subject to change.

This course covers the study of the concepts and basic algorithms for the analysis of complex networks, of models that summary his more notable properties, and of the dynamics that take place in them. In the first place it shows the presence of complex networks in all type of fields (biology, technology, ecology, social sciences, economy, linguistic, etc.) and analyse his recurrent properties more important, like the distributions of free degree of scale, the transitividad, the property of small world and the asortatividad. We will loan special attention to the study of the structure mesoscópica of the complex networks, reviewing the main algorithms for the obtaining of his structure in communities. We will see also the main models of random complex networks, that allow to understand the apparition of his peculiar structural properties. Finally, we will go in to describe some of the dynamics on complex networks, like the synchronisation and the propagation of epidemics.

Amunt

Data Science

Amunt

  • Capacity to read scientific texts in English.
  • Basic knowledges of mathematics (level degree or engineering).
  • Knowledges of programming: the course requires the programming of algorithms relatively simple (but no trivial), by what is necessary to be able to program in some programming language (does not matter cual: Python, Matlab, Octave, R, Java, C, C#, C++, etc.)

Amunt

Amunt

 

  1. Introduction to complex networks
  2. Mathematical representation of complex networks
  3. Structure of complex networks
  4. Models of complex networks
  5. Community structure of complex networks
  6. Dynamics on complex networks

 

 

Amunt

The assessment process is based on the student's personal work and presupposes authenticity of authorship and originality of the exercises completed.

Lack of authenticity of authorship or originality of assessment tests, copying or plagiarism, the fraudulent attempt to obtain a better academic result, collusion to copy or concealing or abetting copying, use of unauthorized material or devices during assessment, inter alia, are offences that may lead to serious academic or other sanctions.

Firstly, you will fail the course (D/0) if you commit any of these offences when completing activities defined as assessable in the course plan, including the final tests. Offences considered to be misconduct include, among others, the use of unauthorized material or devices during the tests, such as social media or internet search engines, or the copying of text from external sources (internet, class notes, books, articles, other students' essays or tests, etc.) without including the corresponding reference.

And secondly, the UOC's academic regulations state that any misconduct during assessment, in addition to leading to the student failing the course, may also lead to disciplinary procedures and sanctions.

Amunt

You can only pass the course if you participate in and pass the continuous assessment. Your final mark for the course will be the mark you received in the continuous assessment.

 

Amunt