Plan de estudios del Máster Universitario en Nuevas Tecnologías en Informática
Esta página muestra el plan de estudios oficial de la titulación y los correspondientes enlaces a la guías docentes.
NOTA: Debido a la implantación en la Facultad de Informática de los nuevos títulos de Master en Ciberseguridad y Master en Ingeniería del Software. A partir del curso 2023/2024 solo se impartirán tres de las especialidades contempladas en el titulo:
- Arquitectura de Altas Prestaciones y Supercomputación
- Informática Industrial
- Inteligencia Artificial y Aplicaciones Médicas
Guías Docentes
Histórico Guías Docentes
General Organization
Since the course 2012/2013
The Master Degree in New Technologies in Computer Science from the University of Murcia is organized according to the following basic structure:
| Type of Courses | ECTS Credits |
|---|---|
| SPECIALISM | 42 |
| MASTER THESIS | 18 |
| TOTAL | 60 |
Every student can chose one of the following specialist options:
| SPECIALISM | SHORT DESCRIPTION |
|---|---|
| Intelligent and knowledge technologies with applications in medicine (Most in Spanish) | The goal of the IKTAM specialism is to train students in both advanced Artificial Intelligence techniques and Medical Informatics. This academic program combines theoretical and practical aspects and introduces the student to the research field. Artificial Intelligence courses provide the students a solid knowledge to face data analysis problems using data mining techniques, the semantic web and the development of knowledge-based systems. Medical Informatics courses focus on electronic health records, current medical standards, data-ware housing and clinical data analysis. The IKTAM provides the students an up-to-date knowledge and skills required in today's research and R+D activities in both areas from an interdisciplinary perspective.
Keywords: Data Mining, Knowledge-based Systems, Artificial Intelligence in Medicine, Medical Informatics, Business Intelligence, Semantic Web, Biomedical Applications. |
| Networks and Telematics | The main goal of this itinerary is to provide the students with the most important concepts to model, design, deploy, evaluate and manage network communication architectures, improving their abilities for innovation paying attention in new trends and research lines in this area. In particular, the itinerary will be focused in advanced concepts in security and mobility as well as different types of innovative network architectures, such as heterogeneous and multi-hop networks.
Keywords:Advanced Security, Mobility, Security in Heterogenous Networks and Multi-hop Networks. |
| Engineering ubiquitous computing environments | The main goal of this group of subjects include delivering to the students the necessary training skills for development, deployment and management of typical applications and services for the ubiquitous computing domain.
Keywords: traceability, domotics, logistics, intelligent monitoring, adaptive systems and mobile services. |
| Software Technologies | The general objective of this specialism is to provide students with a sound grounding of scientific, methodological and technological fundamentals in the most relevant Software Technologies. These courses cover a wide range of topics, from new paradigms for requirements engineering, software development and testing methods, techniques, tools and international standards, to new trends on semantics, services and technologies for the development of the semantic and social web of data.
Keywords: Model driven engineering, Requirements engineering, software quality, Semantic Web, Distributed software, Software as a Service, Social Web. |
| Mathematics applied to Information and Communications Technology | The aim is to train students to be able to efficiently apply advanced mathematical methods in computer science. The frontier between Mathematics and Computer Science has been always a fruitful field for research. In this line, an engineer can go deeper in the foundations and a scientist in the applications of the information and communication technologies. Both of them can find interesting interactions between each other. |
| Industrial Informatics (Only Spanish) | The aim is students to be able to use and develop methodologies, methods and research techniques in the field of Industrial Informatics. |
| High Performance Architectures and Supercomputing |
Students who follow this itinerary will get a deep understanding about different aspects of multi/many-core and specific purpose architectures, and high performance systems, including high performance programming and operating systems. At the end of the itinerary students will be able to model, design, define, and organize the architecture; deploy, manage, operate, and administrate the systems, networks, services and applications. They will also have the ability to analyze, design, develop, debug and optimize parallel applications by exploiting the programming model and the underlying architecture. |
Common courses
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Project Management for Research, Development and Innovation | 6 | 1 | Spa | Specific methodologies, techniques and professional skills to manage projects. |
Specialist Courses
Intelligent and knowledge technologies with applications in medicine
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Intelligent Data Analysis | 6 | 2 | Spa | Data mining, Evolutive computing, Models Evaluation, Time Series processing. |
| Biomedical Information Systems | 6 | 1 | Spa | Medical Informatics, Electronic Health Records, Biomedical Standards, Interoperability and Legal Aspects. |
| Semantic Web | 6 | 1 | Eng | Semantic Web, Ontology Engineering, Reasoning, Ontology learning, Semantic Query Languages, Linked Data. |
| Advanced Techniques for Intelligent Systems | 6 | 2 | Spa | Knowledge Representation, Reasoning under uncertainty, Temporal Reasoning, Case-based Reasoning, Validation. |
| Business Intelligence in Biomedicine | 6 | 1 | Spa | Data Warehouse, OLAP, Pattern Discovery in Biomedical Databases, Intelligent Systems in Biomedicine. |
| Elective Courses | 6 | - | - | The student will choose 6 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses.
Networks and Telematics
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Basic Communication Technologies | 6 | 1 | Eng | Foundations of digital communications systems, wireless technologies, technology of fixed networks , basic security. |
| Wireless Networks | 6 | 1 | Eng | Wireless sensor networks, ad hoc networks, vehicular networks, wireless mesh networks, distributed network protocols. |
| Security and Trust in Distributed Systems | 6 | 2 | Eng | Security in cloud computing, privacy, identity management, trust and reputation management |
| Network Integration | 6 | 2 | Eng | Mobility in Heterogeneous Networks, Security and Mobility in Heterogeneous Networks, Authentication and Authorization Services in Mobile and Heterogeneous Networks |
| (Option 1) Development Technologies for Ubiquitous Systems | 6 | 1 | Eng | Ubiquitous systems, context-awareness, context reasoning, testing and validation of ubiquitous systems, complex event processing, middlewares, embedded systems. |
| (Option 2) Sensor technologies for heterogeneous environments | 6 | 1 | Eng | Sensor Basics, Positioning, Global Navigation Satellite Systems, Inertial Sensors, Short Range Communications, Domotics, Home Automation. |
| (Option 3) Mobility-Supporting Services | 6 | 2 | Eng | Intelligent Transportation Systems, Outdoor navigation, Map-matching, Indoor Navigation, Vehicular Communications and Services, Mobile Robotics. |
| Elective Courses | 6 | - | - | The student will choose 6 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose one of the 3 options and 6 credits among the rest of courses.
Engineering ubiquitous computing environments
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Sensor technologies for heterogeneous environments | 6 | 1 | Eng | Sensor Basics, Positioning, Global Navigation Satellite Systems, Inertial Sensors, Short Range Communications, Domotics, Home Automation. |
| Development Technologies for Ubiquitous Systems | 6 | 1 | Eng | Ubiquitous systems, context-awareness, context reasoning, testing and validation of ubiquitous systems, complex event processing, middlewares, embedded systems |
| Wireless Networks | 6 | 1 | Eng | Wireless sensor networks, ad hoc networks, vehicular networks, wireless mesh networks, distributed network protocols. |
| Adaptive Ubiquitous Systems | 6 | 2 | Eng | User models for adaptive systems, adaptive systems architectures, data analysis for adaptive behavior, intelligent techniques for user modeling. |
| Mobility-Supporting Services | 6 | 2 | Eng | Intelligent Transportation Systems, Outdoor navigation, Map-matching, Indoor Navigation, Vehicular Communications and Services, Mobile Robotics. |
| Elective Courses | 6 | - | - | The student will choose 6 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses.
Software Technologies
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Current Trends in Web | 3 | 2 | Eng | Web2.0, RSS, Microformats, Microdata, RDFa, Mashups, Social Networks, AJAX. |
| Distributed Software and Software-as-a-Service | 3 | 2 | Eng | Distributed Systems, SaaS, Software-Oriented Computing, Web Services, REST, Semantic Web Services, Cloud Computing. |
| Model-Driven Software Development | 6 | 1 | Spa | Model-driven engineering, domain specific languages, metamodeling, model transformations, software modernization. |
| Semantic Web | 6 | 1 | Eng | Semantic Web, Ontology Engineering, Reasoning, Ontology learning, Semantic Query Languages, Linked Data. |
| Requirements Engineering | 6 | 2 | Spa | Requirements Documents and Techniques, Requirements Engineering Standards, Reusability, Requirements Engineering Methods, RM-Tools, CMMi, i*, Software Requirements Specification, IEEE 830-98. |
| Software Quality | 6 | 2 | Eng | Testing methods and techniques, software vulnerabilities, mutation testing, testing tools. |
| Elective Courses | 6 | - | - | The student will choose 6 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses.
Mathematics applied to Information and Communications Technology
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Foundations of Secure Communications | 3 | 1 | Eng | Secure communication channels, cryptography, cryptoanalysis, hash functions, digital signatures. |
| Mathematical Foundations of Computer Vision and Image Analysis | 3 | 1 | Eng | Camera Geometry, Matrix Computations, Principal component analysis. |
| Foundations of Modeling and Simulation | 3 | 1 | Spa | Simulation of random numbers, generating random variables, networks of queues, Markov process. |
| Mathematical Foundations of Signals and Systems | 3 | 1 | Spa | Fourier transform, Laplace transform, sampling, aliasing, wavelets. |
| Elective Courses | 12 | - | - | The student will choose 12 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses and 12 credits from:
- Basic Technologies for Communications (Eng)
- Software as a Distributed Service (Eng)
- Intelligent data analysis
- Discrete and Hybrid Event Systems
- Parallel Programming and High Performance Computing
Industrial Informatics
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Industrial Automation | 6 | 1 | Spa | - |
| Discrete and Hybrid Event Systems | 3 | 1 | Spa | - |
| Image Processing | 3 | 1 | Spa | - |
| Mathematical Foundations of Computer Vision and Image Analysis | 3 | 1 | Eng | Camera Geometry, Matrix Computations, Principal component analysis. |
| Mathematical Foundations of Signals and Systems | 3 | 1 | Spa | Fourier transform, Laplace transform, sampling, aliasing, wavelets. |
| Computer Systems and Robotics | 6 | 2 | Spa | |
| Computer Vision | 6 | 2 | Spa | |
| Elective Courses | 6 | - | - | The student will choose 6 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses.
High Performance Architectures and Supercomputing
| Title | ECTS | Semester | Language | Descriptors |
|---|---|---|---|---|
| Parallel Programming and High Performance Computing | 6 | 1 | Eng | Parallel programming, supercomputing, high performance computing, shared-memory programming, message-passing programming, matrix computation, hybrid parallelism, hierarchical systems, scientific applications of parallelism. |
| Advanced Issues in Multicore Architectures for General Purposes | 6 | 1 | Eng | Multicore processors, high-performance, energy-efficiency, cache coherence protocols, cache organization, synchronization mechanisms, hardware transactional memory, reliability and fault-tolerance. |
| Advanced Programming of Multicore Architectures | 6 | 2 | Eng | Multicore programming, Cell Be, GPGPU, heterogeneous computing, high performance computing, synchronization mechanisms. |
| Operating Systems for High Performance Environments | 6 | 2 | Eng | System monitoring, resource optimization, high availability, workload balancing, parallel file systems, deduplication, logical volume management, backup, batch job systems, administration. |
| Elective Courses | 12 | - | - | The student will choose 12 credits among the rest of courses |
| Master's Thesis | 18 | 2 | Eng | The student will choose one research line for doing a project under the supervision of one lecturer. |
The student will choose 6 credits among the rest of courses.
