Programación de Altas prestaciones. Sistemas de Información.

- Application of theoretical knowledge to practical and new problems in a broader context related with the corresponding study area. - The students need the ability to learn how to continue learning in an autonomous manner. - Ability to apply the different methods and techniques of the Computer Science área in the financial markets. - Capaticty of design, develop and implement a process to develop software for financial markets. - Ability to solve new problems in a broader and multidisciplinary context applying the theoretical concepts. - Multidisciplinary Team work. - Development of financial software, from the analysis phase to its implementation and integration with other systems. - Implementation of algorithms and techniques of the financial markets following the corresponding standards and procedures. Results of the learning process: ----------------------------------- - Knowledge of the main programming languages used in the development of financial software. - Ability to develop software in the financial software. - Knowledge about the different algorithms used in the financial market: front-office and back-office. - Capacity to develop financial algorithms in all their layers. - Knowledge about the validation and verification of the financial software. - Knowledge about the main management tools. - To understand the Project Management in financial markets.

Back-Office Algorithms: 1. Introduction of the financial market. 2. Algorithms to calculate profitability. 3. Calculate of supplies and stores 4. Development of practices and projects.

Theory classes: Basic theoretical knowledge and skills will be presented in large groups. Total amount of hours: 30.Attendance: 100% Theory - practice classes: Theory lessons and resolution of practical exercises. Total amount of hours: 24.Attendance: 100% Laboratory sessions: Small groups classes, in which problems proposed to the students are discussed and developed using the computer. Total amount of hours: 18.Attendance: 100% Tutorials: Tutorials in person (one-by-one) or videoconference. Total amount of hours: 12,5 .Attendance: 100% e-Learning activities: forum about subjects, recorded-contents and other educational activities. Total amount of hours: 72.Attendance: 100% Teaching methodologies: - Theoretical lectures to develop the main concepts of the subject - Practical cases and problems that students must solve individually or in small groups - Oral presentations and discussions in class under teacher moderation - Practical work individually or in small gropus - e-Learning activities For the practical componet of the subject, students have to develop works on: (1) parallel programming on clusters and distributed storage, using typical tools in this area; (2) algorithms for front-office and back-office, such as price monitoring, order histories, etc. and (3) management and software engineering, using some of the common tools in this sector.