Course shapes public leaders to recognize & respond to competing value propositions & implement value objectives in specific public context. Course goes beyond concrete incentive systems & aims to shape …
Learning tools and concepts for computing on big data. Learn how to use Spark for large-scale analytics and machine learning. Spark is an open-source, general-purpose computing framework that is scalable …
Course investigates practical challenges policy researchers face conducting impact evaluations. Develop capacity to replicate prominent empirical research using experimental & quasi-experimental methods & present results in compelling, accessible formats.Course primarily …
Graduate-level poetry writing workshop for advanced writing students. A weekly 2.5 hour workshop discussion of student poems. For more details, visit our program website at creativewriting.virginia.edu.
Covers advanced theoretical concepts for deep neural networks. Topics include convolutional neural networks and their design principles, encoder-decoder architectures, recurrent neural networks, transformers, bounding box detection, image segmentation, generative adversarial …
Leading in the public context requires an understanding of one's own & others' thoughts, feelings, & motivations; & tools for working toward mutually valued outcomes. Course uses behavioral science to …
Introduces ways that data and information have historically been constructed in different realms--from medicine to public health to computing--to shed light on the power relationships embedded in some of our …
The Applied Policy Project (APP) is the capstone event of the MPP program, an independent analytical project for each student. Divided over two semesters, APP I provides students with the …
Transition into principal investigators and generators of data science-based knowledge. Develop practical skills necessary to conduct high quality data science research, advance development into producers and critical consumers of research, …
Content for this course includes the purposes and nature of theory in educational administration and the application of organization theory to education. Theories of leadership, organizations, decision-making, communication, climate, conflict, …
This course examines and promotes prospective administrators, intrapersonal understanding, interpersonal ability, and potential for effectiveness as leaders. Theory and practice relative to the staffing of schools for effective realization of …
This course is designed to prepare individuals for positions of education leadership by exposing them to hands-on administrators. Students will be engaged in a significant number of administrative activities at …
This course provides students with the necessary blend of theory, best practice, and authentic problems of practice in leadership. The course provides a bridge between their thought in other courses …
Research Ethics/Responsible Conduct of Research fulfills both the National Science Foundation and National Institutes of Health Responsible Conduct of Research (RCR) Mandate. The course is case-based and practical. The goal …
This course guides graduate students to communicate their research to non-technical audiences such as the public, the media, scholars in other fields, and policymakers. Topics include audience analysis, message design, …
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, …
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 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 …