Acquire the fundamental know-how on Computing and Programming Languages and how to apply it successfully in the development of IT projects, in a highly competitive professional master’s degree"

This professional master’s degree focuses on the fundamentals of programming and data structure, algorithms and complexity, as well as advanced algorithm design, advanced programming, language processors and computer graphics, among other topics related to this area of computer science.

This professional master’s degree provides students with specific tools and skills to successfully develop their professional career in the broad environment of Computing and Programming Languages. It works on key competencies such as knowledge of the day-to-day reality and work in different IT areas and develops responsibility for the monitoring and supervision of work, as well as specific skills within this field.

Additionally, as it is a 100% online professional master’s degree students are not constrained by fixed timetables or the need to commute to another physical location, rather, they can access the contents at any time of the day, balancing their professional or personal life with their studies.

The teaching team of this professional master’s degree in Computing and Programming Languages has carefully selected each of the topics of this course to offer the student a study opportunity as complete as possible and always linked to current events.

An exceptional opportunity to learn, in a comfortable and straightforward way, the mathematical knowledge and processes necessary to carry out excellent computer programming"

This professional master’s degree in Computing and Programming Languages contains the most complete and up-to-date program on the market. The most important features include:  

• Case studies presented by experts in Computing and Language
• The graphic, schematic, and practical contents which they contain, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where a self-assessment process can be undertaken to improve learning
• Special emphasis on innovative methodologies in Computing and Language
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an internet connection

A professional master’s degree that owes its effectiveness to the most valued educational technology in the market, with audiovisual and study systems that will allow you to learn in a faster and more comfortable way"

Its multimedia content, developed with the latest educational technology, will allow the professional a situated and contextual academic experience, that is to say, a simulated environment that will provide an immersive refresher designed to prepare the student for real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to resolve the different professional practice situations that arise during the academic year. For this, the professional will have the help of an innovative, interactive video system made by recognized and experienced experts in Computing and Programming Languages.  

We place at your disposal extensive and clear didactic materials, which incorporate all the current topics of interest for the professional who wants to advance in Computing and Programming Languages"

A program of high educational impact that will allow you to tailor the workload to your needs, combining flexibility and intensity"

The professional master’s degree in Computing and Programming Languages has been created specifically for the professional who seeks to advance in this area quickly and effectively, and is organized on the basis of realistic and high-value objectives that will propel him or her to another level of performance in this field.

Our goal is to provide professionals in the IT field with a high-quality refresher that will allow them to operate with confidence in Computing and Programming Languages"

General Objective

• Provide scientific and technological development, as well as preparation for professional practice in Computing and Programming Languages, all with a cross-disciplinary and versatile course in line with new technologies and innovations in this field

Specific Objectives

Module 1. Programming Fundamentals

• Understand the basic structure of a computer, software and general-purpose programming languages
• Learn to design and interpret algorithms, which are the necessary basis for software development
• Understand the essential elements of a computer program, such as the different data types, operators, expressions, statements, I/O and control statements
• Understand the different data structures available in general purpose programming languages, both static and dynamic, as well as acquiring essential knowledge for file handling
• Know the different software testing techniques and the importance of proper documentation together with good source code
• Learn the basics of the C++ programming language, one of the most widely used programming languages in the world

Module 2. Data Structure

• Learn the basics of programming in the C++ language, including classes, variables, conditional expressions, and objects
• Understand abstract data types, linear data structure types, simple and complex hierarchical data structures, and their implementation in C++
• Understand the operation of advanced data structures that differ from the norm
• Know about the theory and practice related to the use of priority heaps and queues
• Learn how hash tables work as abstract data types and functions
• Understand graph theory, as well as algorithms and advanced graph concepts

Module 3. Algorithm and Complexity

• Learn the main strategies for algorithm design, as well as the different methods and measures for algorithm computation
• Know the main sorting algorithms used in software development
• Understand the operation of different algorithms with trees, Heaps and Graphs
• Understand the operation of Greedy algorithms, their objective and examples of their use for common problems
• Also learn about the use of Greedy algorithms on graphs
• Learn the main strategic concepts of minimum path finding, with an approach to common problems in the field and algorithms for their resolution
• Understand the Backtracking technique and its main uses, as well as other alternative techniques

Module 4. Advanced Algorithm Design

• Deepen your knowledge of advanced algorithm design, analyzing recursive and divide and conquer algorithms, as well as performing amortized analysis
• Understand dynamic programming concepts and algorithms for NP problems
• Understand the operation of combinatorial optimization, as well as the different randomization algorithms and parallel algorithms
• Know and understand the operation of the different local search methods with candidate solutions
• Learn the mechanisms of formal program verification and iterative program verification, including first-order logic and Hoare's formal system
• Learn about the operation of some of the main numerical methods such as the bisection method, the Newton Raphson method and the secant method

Module 5. Advanced Programming

• Build knowledge of programming, especially as it relates to object-oriented programming, and the different types of relationships between existing classes
• Understand the different design patterns for object-oriented problems
• Learning about event-driven programming and user interface development with Qt
• Acquire essential knowledge of concurrent programming, processes and threads
• Learn how to manage the use of threads and synchronization, as well as the resolution of common problems in concurrent programming
• Understand the importance of documentation and testing in software development

Module 6. Theoretical Computing

• Understand the essential theoretical mathematical concepts behind computer science, such as propositional logic, set theory, and numerable and non-numerable sets
• Understand the concepts of formal languages and grammars, as well as Turing machines in their different versions
• Learn about the different types of intractable problems, including the different versions of these problems and their approaches
• Understand the operation of different kinds of randomization-based languages and other classes and grammars
• Learn about other advanced computing systems such as Membrane Computing, DNA Computing and Quantum Computing

Module 7. Automata Theory and Formal Languages

• Comprender la teoría de autómatas y lenguajes formales, aprendiendo los conceptos de alfabetos, cadenas y lenguajes, así como a realizar demostraciones formales
• Profundizar en los distintos tipos de autómatas finitos, ya sean deterministas o no deterministas
• Aprender los conceptos básicos y avanzados relacionados con los lenguajes y las expresiones regulares, así como la aplicación del lema de bombeo y la clausura de los lenguajes regulares
• Entender las gramáticas independientes de contexto, así como el funcionamiento de los autómatas a pila
• Profundizar en las formas normales, el lema de bombeo de las gramáticas independientes de contexto y propiedades de los lenguajes independientes de contexto

Module 8. Language Processors

• Introducir los conceptos relacionados con el proceso de compilación y los distintos tipos de análisis: léxico, sintáctico y semántico
• Conocer el funcionamiento de un analizador léxico, su implementación y recuperación de errores
• Profundizar en el conocimiento del análisis sintáctico, tanto descendente como ascendente, pero profundizando especialmente en los distintos tipos de analizadores sintácticos ascendentes
• Entender el funcionamiento de los analizadores semánticos, la tradición dirigida por la sintaxis, la tabla de símbolos y los distintos tipos
• Aprender los distintos mecanismos de generación de código, tanto en entornos de ejecución como para la generación de código intermedio
• Sentar las bases de la optimización de código, incluyendo la reordenación de expresiones y la optimización de bucles

Module 9. Computer Graphics and Visualization

• Introduce the essential concepts of computer graphics and computer visualization, such as color theory and its models and the properties of light
• Understand the operation of the output primitives and their algorithms, both for line drawing and for drawing circles and fills
• Conduct an in-depth study of the different transformations, both 2D and 3D, and their coordinate systems and computer visualization
• Learn how to make 3D projections and cuts, as well as how to remove hidden surfaces
• Learn the theory related to interpolation and parametric curves, as well as Bézier Curves and B-splines

Module 10. Bio-inspired Computing

• Introduce the concept of bio-inspired computing, as well as understanding how different types of social adaptation algorithms and genetic algorithms work
• Conduct an in-depth study of the different models of evolutionary computing, including its strategies, programming, algorithms and models based on distribution estimation
• Understand the main space exploration-exploitation strategies for genetic algorithms
• Understand the operation of evolutionary programming applied to learning problems and multi-objective problems
• Learn the essential concepts related to neural networks and understand the operation of real-life cases applied to areas as diverse as medical research, economics and computer vision

A unique specialization program that will allow you to acquire advanced training in this field"