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This module introduces the fundamental principles and methods of health data science. Students will gain an appreciation of the increasingly prominent role of the health data science in research and clinical application.
Mae'r modiwl hwn yn cyflwyno egwyddorion a dulliau sylfaenol gwyddor data iechyd. Bydd myfyrwyr yn meithrin dealltwriaeth o'r rôl gynyddol bwysig sydd gan wyddor data iechyd mewn meysydd ymchwil a chlinigol.
The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project. Depending on the student's employability strand within the programme, the project may be laboratory, data, or education-based, but it will always involve a research question that is drawn from the literature, focused on a topic relevant to medical science. It will ask a novel research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through creating an introductory presentation on the project background, and a written dissertation and oral presentation on their research conclusions.
The module is for students to build on their previous knowledge, skills and experience by undertaking a medical genomics research project.
Data scientists working in healthcare are called to deal with problems involving classification and pattern recognition. The objective of this module is to provide the essential theory and practical aspects of widely used machine learning software. This is a core/compulsory module of 20 credits. Module leaders are Arron Lacey and Shangming Zhou
In this module, students will study knowledge management in health care environments. The themes covered will include: clinical decision-making; decision support systems; workflow management; web site design. Students will study experimental research designs.