Carlos III University of Madrid

This course discusses the importance of resource-based learning and research as well as the ability to determine the reliability and quality of information and its sources. It is divided into three units: where to find reliable information online; retrieval and organization of information; ethical use of information.

Using Roman society and criminal law as an example, this course explores the impact of socio-cultural values on the concept of condemnable behaviors, judgment, and punishment.

This course offers a study of the tools for writing and reporting scientific and technological news with an emphasis on the context of science, technology, and society. In addition to written media, it also discusses audiovisual content, interactive technology, and scientific photography.

This course examines terrorism both in Spain and globally. Topics include: terrorism in Spain; victims of terrorism; psychological consequences of terrorist attacks on the victims; secondary vicitimization, violence of terrorist persecution and their psychological consequences; comprehensive care for victims of terrorism.

This course discusses the concept of emerging countries and the transition of developing countries to emerging countries and on to developed countries. It provides an overview of economics, state and political institutions, and challenges of emerging countries.

This course offers an introduction to cryptography. Topics include: mathematical foundations of cryptography; classic cryptography; symmetric encryption; key distribution and asymmetric encryption; hash functions, MAC, and authenticated encryption; digital signatures schemes; public key infrastructure; user authentication.

This course offers a study of data integration and visualization. Topics include: data integration models; data acquisition; noSQL databases in data integration; situational awareness and interpretation in the Big Data era; visual analytics; principles of human-machine interaction; visual interfaces; temporal and geo-spatial data processing; applications of visual analytics.

This course offers an introduction to data science for genomic data. It discusses basic algorithms for genome sequencing, compares DNA sequences or proteins, and analyzes databases with the genomic profiles of different patients for the extraction of information. Other topics include: computational methods for analyzing and performing DNA data sequencing; advanced statistical methods for the analysis of genomic data; statistical tests for the extraction of conclusions.