Graduate Programs

Student Learning Outcomes

Doctor of Philosophy in Informatics - General

Upon completion of all PhD programs, students will be able to:

  1. Identify, discuss, and apply the fundamental concepts, theory and practices in informatics such as information representation and architecture, retrieval, structured query language, information extraction and integration from disparate data sources, information visualization and security, and data mining including the relevant tools and methodologies.
  2. Identify and practice the knowledge of beginning statistics, including sampling and correlations, research paradigms such as constructivism and pragmatism, distinctions and limitations of qualitative, quantitative, and mixed method research designs, understanding validity and reliability.
  3. Apply research proposals, conduct peer reviews, create an annotated bibliography, create and present a high-level presentation pertaining to research, and use SPSS.
  4. Acquire and apply the ability to read and critique scientific articles by analyzing the problem presented, solutions proposed, and critically looking at the solutions and the results, as well as learn how organize and write a scientific article through critical thinking and discussion.
  5. Write research proposals by examining NSF and NIH case studies, including style and grant specific requirements.
  6. Develop and deliver class-room lectures, including processes for critically evaluating class-room lectures and how to prepare effective teaching materials to teach selected topics of interest.
  7. Apply research methods and acquire more advanced knowledge in different areas of research through apprenticeship work with the faculty member and other students in that group.

Concentrations will have the above general outcomes plus additional ones.