Carlos III University of Madrid

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.

This course includes practical application of data science theory and methodology to real world issues. Students complete a data science project with the following content: data collection and pre-processing; development of a technical solution based on data science; analysis of legal and ethical aspects; analysis of economic feasibility of the proposed solution.

This calculus course covers the following topics: real numbers; sequences and series of real numbers; continuous functions; derivative; theorems about differentiable functions; Taylor expansions; applications of the derivative; Riemann integral and techniques of integration; improper integrals; applications of integration.

This course offers a study of corruption and accountability. It examines the causes and consequences of corruption, as well as types of corruption: judicial, political, private sector, and organized crime. This course explores means to regulate corruption including through international regulation, good government, transparency, and democracy.

This course offers an introduction to analog electronics. Topics include: transistor circuits and ASICs; current sources, basic amplifiers, and differential amplifiers; frequency response of amplifier circuits; feedback circuits; operational amplifiers, voltage regulators, and power amplifiers; active first and second order filters; oscillators, VCO, and PLL; pulse circuits.

This course offers a study of the theory of automata and formal languages. Topics include: automata theory; finite automata; languages and formal grammars; regular languages; pushdown automata; Turing machine; computational complexity.

This course offers an advanced study of tissue and organ regeneration. It examines tissue engineering and the biotechnological tools to generate each component.