Graduate Courses

This course focuses on curriculum development for young children with a focus on science and social studies. Program planning & use of resources: the out-of-doors, maps, globes, books, pictures & other media is emphasized. This includes techniques for integrating the two content areas, evaluating current materials, & adapting programs for special students in regular classrooms. Hands-on experience with microcomputers & selected software.

Examination of principles in administration, curriculum, instruction, and evaluation of dance programs in higher education and arts organizations.
Current trends in college dance curricula and arts organizations are explored, framed in the history of dance in higher education and the structure of arts organizations.

Seminar & laboratory experiences integrating multiple movement choices within a developmental framework so that students can create differentiated dance activities to engage the strengths & meet the needs of children & adolescents who have emotional, behavioral, learning, sensory, &/or physical challenges.

An in-depth exploration of the vocabulary, structure, methods & uses of data by
decision makers in the music industry. Topics include background study of
data applications in related industries; sources & uses of data in music services
& within the music enterprise; & design & management of data projects.

Data is often considered the domain of scientists and statisticians, but its increasing
dominance across nearly all aspects of life – from political and advertising campaigns to social media, dating, education, and public health — has social, political, and ethical consequences, presenting both new possibilities and new hazards. In this course we think critically about how collecting, aggregating, and analyzing data affects individual and social life, with a focus on the ways in which it reproduces and creates new structural inequalities and power asymmetries.

This course explores the purposes of assessment in discipline areas, such as science, and developments in policy that have impacted assessment in schools. The course will cover how to identify and address specific student learning problems, as well as the closing of achievement gaps and planning for continuous school improvement.

The course will cover how to identify and address specific student learning problems- as well as the closing of achievement gaps and planning for continuous school improvement. Students will learn a variety of methods to assess student achievement in science- both in the classroom and across a school.

Course focuses on the competencies required and the issues that arise Course focuses on how analysts use data and quantitative evidence to impact policy and practice. Students will learn how to gather and analyze data to address questions about program efficacy and efficient targeting of resources. Topics will include how to choose organizational partners, implement change, build trust with organizations and civic agencies, satisfy the needs of stakeholders and manage legal, ethical, and logistical constraints. Students will discuss real case studies and appropriate ways to address them.

The goal of this course is to learn how to effectively, honestly, and persuasively communicate about empirical research. Students develop competencies in writing, visualization, and oral presentation of technical material to both technical and lay audiences. Students learn practical strategies with ample opportunity to practice new skills. Assignments and discussion emphasize and explore the tension between concision and accuracy. Students receive feedback from the instructor, peers, and exemplars of intended audiences (e.g. employers who hire data scientists).

Increasingly, data is a primary factor in every step of the decision making process in education administration—from informing lines of inquiry to determining courses of action. In this course, students acquire the skills necessary to work with and analyze administrative and survey data and, in the process, describe school-related inputs, outcomes, relationships, and trends.

Data-centric technologies are transforming public policy, enabling new approaches for evaluating policies both retrospectively and prospectively; for detecting discriminatory practices; and for auditing and designing “fair” algorithmic systems. While current computational and statistical methods often promise increased efficiency, equity, and transparency, their use also raises complex legal, social,
and ethical questions. In this course, we will discuss such methods in a variety of applications, and will examine the relationships between law, policy, and data.

Deep learning, a sub-field of machine learning and artificial intelligence, has promoted breakthroughs in managing and creating media content. This course provides a hands-on, project-oriented introduction to deep learning for the classification, retrieval, and creation of media content, with emphasis in audio-visual content. Students create and work with deep learning models using Python libraries, and think critically about their application for media. Students develop an understanding of how to use these tools in the context of their work.

Develops understanding and skills in the analysis and interpretation of demographic data using U.S. census, regional, and local data sets. Uses forecasting and strategic analysis methods as a basis for long-range planning of school facilities, programs, and client needs. Includes the use of computer-based methodologies, geographic information systems, and community asset mapping to formulate processes that connect schools with a wide array of higher education and community resources, including social service and health providers.

This seminar will introduce students to some of the central questions in history, the social sciences, the humanities, and the arts.

Seminar for doctoral students.

Doctoral seminar focusing on selection of an area of study for dissertation and review of the literature therein. Critical examination of scientific and philosophical issues related to student's areas of study.

Graduate seminar for students who are planning to teach or do research in psychology. Aims & objectives, content, methods of instruction, preparation & use of materials for evaluation, & a survey of research, literature, & methods.

Design for today's stage in period and modern styles. Methods of originating and presenting a design conception. Practice in scene sketching. Three hours of laboratory per week.

Introduction to & application of major instructional design models, particularly as they relate to the development of instructional materials & resources for such technologies as computer-based multimedia, network telecommunications, & television. Models are compared for their substantive & procedural approaches to analyses of needs, content, instructional philosophy, learners, social environment, culture. Developments in the field & critical issues, including conflicts between objectivist & constructivist instructional design models, are addressed in historical perspective

Research in education, technology, and other applied areas of social science ofteninvolves studying the combination of the properties of designed interventions and human behavior. This research methods course takes up design-based research methodology and some of its variants including social design experiments and design-based implementation research. Students learn both the epistemology of design-based research methods and techniques for conducting research with these methods, as well as studying when and why the methods are appropriate or inappropriate for particular aims.