This is the required course for the graduate Certificate in Digital Humanities. It entails participation in colloquia, sixty hours of experience participating in a research project uniting computation and humanities, …
Students will learn theoretical and practical foundations of computational methods for analysis of experimental data from various biological data types. Course will cover algorithms, statistical and computational methods, and application …
Students will learn theoretical and practical foundations of computational methods for analysis of experimental data from various biological data types. Course will cover algorithms, statistical and computational methods, and application …
Where do our educational practices come from? This seminar invites graduate students to explore theories and philosophies of education in order to guide their own professional development and practices as …
Students will learn algorithms and applications of computational methods for analysis of experimental data from genome, epigenome, and transcriptome sequencing experiments. The course will cover various biological data types (whole …
This course will cover fundamental topics in statistical genetics with a focus on concepts and methods critical to a concrete understanding of the application of statistical genetics to public health …
This course provides the opportunity to offer a new topic in the subject area of academic, professional, and creative writing. For more details on this class, please visit the department …
This course will use a student-centered approach to analyze the benefits of experiential learning for PhD students. Through completing course assignments and participating in an internship, students will gain professional …
For Computer Engineering Master's Students who are teaching assistants.
Student will work on a supervised independent research project related to the their area of study or expertise with a member of the PHS faculty.