![]() , social media, transport, health and social sciences, and be taught basic explorative data analysis and mining techniques in the context of small use cases. Students will be given data sets from, eg. ![]() As well as reinforcing their programming skills through experience with relevant Python libraries, this course will also introduce students to the concept of declarative data processing with SQL, and to analyse data in relational databases. Students will learn how to ingest, combine and summarise data from a variety of data models which are typically encountered in data science projects, such as relational, semi-structured, time series, geospatial, image, text. Where are hot spots of pedestrian accidents across a city? What are the most popular travel locations according to user postings on a travel website? The ability to combine and analyse data from various sources and from databases is essential for informed decision making in both research and industry. ![]() This course focuses on methods and techniques to efficiently explore and analyse large data collections. Objective: The objective of this unit of study is to educate students for their later professional career and it covers topics of the ACM/IEEE Software Engineering curriculum. The objective of this unit of study is to educate students for their later professional career and it covers Software Architecture topics of the ACM/IEEE Software Engineering curriculum. The choice of middleware can decide whether the system achieves essential non- functional requirements such as performance and availability. This class of systems are built up from several application components, incorporating existing "legacy" code and data stores as well as linking these through middleware technologies, such as distributed transaction processing, remote objects, message-queuing, publish-subscribe, and clustering. Computer systems for large-scale enterprises handle critical business processes, interact with computer systems of other organisations, and have to be highly reliable, available and scalable. This unit covers topics on software architecture for large-scale enterprises. Other topics covered will include the important concept of transaction management, application development with a backend database, and an overview of data warehousing and OLAP. The unit will introduce the SQL database query languages, which is industry standard. Once a database design is in place, the emphasis shifts towards querying the data in order to extract useful information. This in turn helps in the data remaining consistent during its lifetime. We will place particular emphasis on introducing integrity constraints and the concept of data normalization which prevents data from being corrupted or duplicated in different parts of the database. This unit of study will introduce the basic concepts of database designs at the conceptual, logical and physical levels. ![]() The proper management of data is hence essential for all applications and for effective decision making within organizations. The ubiquitous use of information technology leaves us facing a tsunami of data produced by users, IT systems and mobile devices. Aeronautical unit of study descriptions.Water and environmental treatment processes.
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