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PgCert Computer Science and Artificial Intelligence (Online)
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PgCert Computer Science and Artificial Intelligence (Online)
Software for Digital Innovation (20 credits) / CIS4044-N(PgCert) / TU Online
£820.00
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Description
You gain an introduction to the Python programming language and its application to solving problems in digital innovation. This involves the principles of programming, the syntax and structure of Python, its relevant libraries and modules, and how it is incorporated in existing software tools. You form a solid foundation of producing software solutions to real-world problems.
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Artificial Intelligence Ethics and Applications (20 credits) / CIS4057-N / TU Online
£820.00
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Description
You gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA). You explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines, and analyse both the risks and opportunities of applying AI and DS techniques in these areas.
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Agile Development (20 credits) / CIS4058-N(PgCert) / TU Online
£820.00
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Description
You gain experience of application development utilising an agile development approach. You also take responsibility for determining project aims, objectives, roles, tasks, deliverables, schedules and documentation.
By learning agile principles and applying a specific agile approach (eg SCRUM) in a live simulation of the methodology, the module will help you to prepare for contemporary practice in industry, developing both knowledge and skills in the application of agile principles.
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Big Data and Business Intelligence (20 credits) / CIS4008-N(PgCert) / TU Online
£820.00
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Description
You develop your ability to design and implement database, big data and analytics applications to meet business needs. A case study is used to follow the system development lifecycle. You develop a plausible application from inception to implementation for a real-world scenario.
You investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. Investigations are undertaken in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.
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