Student Learning Outcomes
Doctor of Philosophy in Informatics - Bioinformatics
Upon completion of the Bioinformatics PhD program, students will be able to:
- Analyze different types of bioinformatics data (gene, protein, disease, etc.) including their biological characteristics and relationships.
- Formulate steps involved in transforming the data to knowledge, as well as introducing different techniques used at each step
- Impact informatics on other disciplines such as biology from several perspectives including the social and economic aspects.
- Establish different data representation models and formats used for bioinformatics data representation including markup languages, such as SBML and CellML, and ontologies, such as GO ontology.
- Master different approaches used for data integration and data management, including data warehouse and wrapper approaches.
- Develop computational techniques and employ diversified bioinformatics tools for data processing including statistical, machine learning and data mining techniques.
- Analyze processed data in particular with the support of analytical and visualization tools.
- Perform bioinformatics research in area of interest.
- Interact with non-bioinformatics professionals, such as biologists and biomedical researchers in order to better understand their bioinformatics needs for better support and service delivery.
- Develop the ability to design and develop bioinformatics solutions by adapting existing tools, designing new ones, or a combination of both.