The focus of this course is the development and design of curriculum, and the delivery of instruction to ensure academic success. The course provides key principles of effective supervision, and asks students to apply concepts involved in teaching diverse populations, developing standards-based curricula, and assessment of instructional objectives. The ISLLC Standards for School Leaders are used as framework for inquiry and decision making.

This course will examine the principles, processes, and responsibilities of financing public education with a focus on the leadership provided at the school level in finance. The course will have a special emphasis on budgeting procedures and accounting systems critical to the management of finances at the building level.

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 the elementary, middle, and high schools levels as well as at central office and at community out-reach sites. Students will be mentored on site by licensed school administrators during their 320-hour internship.

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 and the practicalities involved as they prepare for the administrative leadership selection process and their first leadership assignment. Students learn how to use personal assessment tools and feedback to construct Individual Development Plans.

This module will investigate the current legal, moral, and instructional impact of special education policies in the Commonwealth of Virginia and across the nation. Response to Intervention concepts will be explored in-depth.

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, and a portfolio.

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 areas in computational biology, and will include both classical methods as well as recent advances. Prior coursework/experience in linear algebra, UNIX, and R & Python programming required.

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 areas in computational biology, and will include both classical methods as well as recent advances. Prior coursework/experience in linear algebra, UNIX, and R & Python programming required.

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 website at http://www.engl.virginia.edu/courses.

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.