Checking date: 20/07/2020


Course: 2020/2021

Massive and Linked Data
(18646)
Master in Computer Engineering (Plan: 449 - Estudio: 228)
EPI


Coordinating teacher: GONZALEZ CARRASCO, ISRAEL

Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Objectives
1. Capacity for strategic planning in the areas of Engineering following quality criteria. 2. Capacity for the development, management, coordination and management technical fields of Engineering, related others: development of software factories, infrastructure and computer facilities (including networks), systems, applications and computer services, respecting the proper implementation of the criteria quality and environmental and multi-disciplinary working environments. 3. Capacity for the overall direction and technical leadership in business in the field of Engineering. 4. Ability to undertake financial management of projects computer engineering fields related to factories software development, infrastructure and computer facilities (Including networks), systems, applications and services, following quality and environmental criteria. 5. Ability to apply principles of economics and management human resources and projects. 7. Ability to understand and comply with current regulations regarding the construction management and facilities systems. . Learning Outcomes: o Carrying out a strategic plan for information systems. or be able to direct, coordinate and manage projects of factories software development, computer facilities, systems, applications and services. o Be capable of leading companies in the area of Computer Engineering. o Be able to carry out project financial management
Description of contents: programme
BLOCK 1. MASSIVE DATA INTEGRATION. 1.1. Integration of data sources. 1.2. Big Data for data integration and analysis. 1.3. Main applications. BLOCK 2. BLOCKCHAIN. 2.1. Origin of Blockchain. 2.2. Blockchain operation. 2.3. Consensus algorithm. 2.4. Types of Blockchain. 2.5. Main applications.
Learning activities and methodology
- Theory lectures with the objective of acquiring specific competences. Slides and other material as well as reference books will be provided to students in order to complete knowledge of subjects. Moreover, standards and technology documentation concerning systems integration will also be provided. Inthis lectures, studentes will do talds about specific contents from complementary readings. - Practical cases performed working cooperatively to complement theory lectures. Among other activities students will develop a solution to integrate applications using service oriented architectures. - Academic activities guided by the teacher to solve specific problems about data and functional integration. - Individual work consisting on developing solutions to exercises posed by the teacher as well as complementary readings
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Basic Bibliography
  • Judith R. Davis and Robert Eve. Data Virtualization Going Beyond Traditional Data Integration to Achieve Business Agility. Composite Software. . 2011
  • AnHai Doan, Alon Halevy, and Zachary Ives. Principles of Data Integration. . Morgan Kaufmann.. 2012
  • Bishop, Matt.. Computer security : art and science. Addison-Wesley. 2003
  • Daniel. Drescher. Blockchain basics a non-technical introduction in 25 steps. Berkeley, CA . 2017
  • Ross Anderson . Security engineering : a guide to building dependable distributed systems. Wiley. 2008
  • Trovati, M., Hill, R., Anjum, A., Zhu, S.Y., Liu, L. (Eds.). Big-Data Analytics and Cloud Computing. Springer. 2015
Additional Bibliography
  • Philip Bernstein and Laura Haas,. Information integration in the enterprise,. Communications of the ACM Vol 51, N 9, September 2008, Pages 72-79. 2008

The course syllabus may change due academic events or other reasons.