Basic knowledge of Java Programming

- Understanding and mastering the knowledge basis needed to develop and/or apply ideas, often in a research context - Application of theoretical knowledge and problem solving abilities to practical and new problems in a broader context related to the corresponding study area. - Ability to integrate knowledge and handle the complexity of decision making with incomplete or limited information, while considering the ethic and social implications of the decisions taken. - Ability to clearly communicate and support the conclusions both to specialized and general audiences. - Long-life autonomous learning abilities. - Ability to apply the different methods and techniques of the Computer Science Area to the financial markets. - Ability to conceive, design, develop, implement and deploy software for financial markets. - Ability to write original documents, motivated arguments and work plans or work projects. - Ability to analyze and evaluate the most common Information Society Technologies currently applied to finances. - Development of financial software, from the analysis phase to its implementation and integration with other systems. - Implementation of financial markets techniques following the corresponding standards and procedures. - Analysis and understanding of the most common tools for big data management, including storage, retrieval and update. Results of the learning process: - Understanding the use of Information Systems in Financial Markets - Knowledge of the most used technological standards. - Understanding the most used technologies in finances. - Acquiring a general vision on the most important finalist products. - Ability to analyze the technological infrastructures for Financial Markets. - Understanding the main application examples. - Understanding the infrastructure requirements for the deployment of financial information systems

1- Market latency and latency metrics. 2- Low latency buses 3- Last-mile messaging 4- Memory grids 5- Messaging and data exchange protocols 6- Serialization of messages 7- Market protocols 8- CEP 9- Cloud 10- Blockchain 11- Trading systems

Lectures: supported by digital materials (100% classroom) Practical lectures: combination of lectures and exercises (100% classroom) Mentoring: both at the office or on-line (video-conference) (100% classroom) E-learning: Forum, videos and other (0% classroom) Student's individual work: autonomous work performed by the student, including exam preparation (0% classroom) Teaching methodologies: - Theoretical lectures, supported with audiovisual material, to develop the main concepts of the subject and provide the students with the required bibliography to guide their self-study. - Reading of suggested texts (newspaper articles, reports, operation manuals and/or research papers) to be discussed at class or to consolidate/extend the acquired knowledge. - Solving practical cases, problems, etc. both individually or in groups. - Oral presentations and discussions in class under teacher moderation. - Development of reports or written works, both individually or in groups. - E-learning activities, related to the blended nature of the degree.