Difference between revisions of "Student Learning Outcomes"

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|'''Course Learning Outcomes; students will be able to: ''' |'''BMI PhD Program Outcomes / Competencies''' |'''Instructional Method(s) ''' |'''Assessment Method(s) '''
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|- 1. Understand and apply the principals of ontological realism O1: Ontological Realism, the Basic Formal Ontology (BFO), and the Ontology of General Medical Science • Lecture • Post-lecture tests
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|- 2. Understand and apply the Basic Formal Ontology in ontology design O1:Ontological Realism, the Basic Formal Ontology (BFO), and the Ontology of General Medical Science • Lecture • Post-lecture tests
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|- 3. Understand and apply the Ontology of General Medical Science in biomedical ontology design O1:Ontological Realism, the Basic Formal Ontology (BFO), and the Ontology of General Medical Science • Lecture • Post-lecture tests
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• Final exam
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|- 4. Understand the strengths and weaknesses of prevailing biomedical data, information and knowledge management paradigms O2:methods of data representation, manipulation, storage, analysis and mining in healthcare and biomedical research databases
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O3: Information retrieval and critical analysis skills • Lecture
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• Literature-based self-study • Final exam
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|- 5. Identify opportunities, risks and challenges to current biomedical data, information and knowledge management paradigms O2: Methods of data representation, manipulation, storage, analysis and mining in healthcare and biomedical research databases • Lecture
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• Lab exercise • Post-lecture tests
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|- 6. Assess the quality of existing clinical research data repositories using ontological principles O3: Information retrieval and critical analysis skills
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O4: Technical approaches to acquiring, modeling, representing and managing healthcare and biomedical research knowledge
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O5: The evaluation of biomedical ontologies and the published biomedical ontology research literature • Lecture
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• Lab exercise • Post-lecture test
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• Evaluation of exercise
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|- 7. Develop ontology-based solutions for quality improvement of biomedical and clinical research data O4: Technical approaches to acquiring, modeling, representing and managing healthcare and biomedical research knowledge
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O6: Advanced methods and tools for managing biomedical ontologies (including the Web Ontology Language, OWL)
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O7: Use of ontology editors and add-on tools (e.g., Protégé) to build a realism-based biomedical ontology • Lab exercise • Evaluation of exercise
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• Evaluation of post-lecture assignments
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|- 8. Understand and apply the principles for life cycle management for biomedical ontologies O8: The principles for change management and upgrades to biomedical ontologies • Lecture • Post-lecture tests
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• Final exam
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Latest revision as of 07:29, 29 May 2017