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PO Domains
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Programme Learning Outcome
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PO1
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Knowledge - Breadth
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Knowledge of: advanced theories and skills spanning biological and computer sciences; planning, managing and developing medium to large scale computational biology projects; utilising the most current design principles, methodologies and technologies.
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PO2
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Knowledge - Kind
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That they can: critically understand and evaluate a wide range of current theories, technologies and application areas in computational biology; research solutions to complex problems; evaluate different approaches to problem solving.
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PO3
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Skill - Range
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That they can: identify ill-defined research problems; apply computational, statistical, numerical, research and/or analytical skills to solve complex biological problems; manage ill-defined projects as part of a group or as an individual.
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PO4
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Skill - Selectivity
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That they can: independently assess and select knowledge in novel and emerging biological science and computational technologies; research complex projects and use the research literature to propose new solutions; integrate various principles and approaches to successfully plan and implement a computational biology project; compare with existing solutions and select the most appropriate approach for a specified project.
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PO5
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Competence - Context
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That they can: evaluate the risks associated with individual and team projects in biological sciences; identify strategic research areas where bioscience and computational projects can be developed and evaluate their commercial potential; undertake research, design and development of large-scale projects in new trending areas of biological sciences and computational biology.
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PO6
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Competence - Role
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That they can: lead teams on medium to large scale computational biology projects; manage long-term individual and group projects; communicate effectively within a team environment; execute project plans; prepare plans, reporting documentation, conference papers, technical reports, presentations and posters; communicate project outcomes both formally and informally; communicate effectively with the biological sciences and computational biology community; perform research, innovate, solve problems and design new studies.
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PO7
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Competence - Learning to Learn
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That they can: master the use of computational biology platforms and interrogation of public biological databases; investigate and solve ill-defined problems; evaluate their own performance and knowledge base; use available resources to redress knowledge gaps and succeed with long-term and large-scale individual and team projects; discuss and debate problems and solutions with their peers; investigate and evaluate proposed designs with their peers; compare and contrast design approaches adopted by their peers.
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PO8
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Competence - Insight
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That they can: act in a manner consistent with the best interests of clients, colleagues and other stakeholders and the general public; draw conclusions from large-scale project work; critically evaluate modelling, design and experimental work, also in accordance with best practices, health and safety, ethics and GDPR regulations; relate experimental work to theoretical frameworks; adhere to highest ethical standards in execution of their work; adhere to all health and safety standards during the execution of their work.
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