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Learning Outcomes


Ph.D. Program Learning Outcomes

Demonstrate mastery of the core concepts of Bioinformatics. These include (a) advanced methods in computational biology, (b) the chemical principles that underlie biochemistry, molecular biology and genomics, (c) the design and implementation of relational databases, (d) fundamental methods in probability and statistics, and (e) the construction of predictive mathematical models of biological systems.

Be capable of using critical thinking and research methods in Bioinformatics to understand computational and experimental data.  In addition to formal course work, this ability will be learned and demonstrated in (a) dissertation research, (b) preparation for and presentations at scientific meetings, and (c) graduate seminars, student seminars, and qualifying examinations.

Demonstrate the ability to produce and present original research in Bioinformatics. The most important manifestation of this outcome is publication of original research papers on dissertation research, and in particular papers with the student as first author. The “Challenge Project”, student seminar presentations, and posters and talks at meetings also demonstrate this outcome. The oral and written second-year qualifying examination provides a key opportunity to display this skill.

Conduct scholarly activities in a professional and ethical manner.

Develop the ability to communicate clearly the meaning, potential impacts and risks associated with one’s research activities to a non-technical audience in ways that confer a sense for its value to society.


Master’s Program Learning Outcomes

Demonstrate mastery of the core concepts of Bioinformatics, including computational biology, database design and implementation, and probability and statistics.

Demonstrate the ability to apply skills in a professional environment via an industrial or academic internship in Bioinformatics.

Be able to effectively communicate scientific information in written and oral form