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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 module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dan Thayer
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.