Graduate Courses

Identifies characteristics of high-incidence disabilities impacting learning, attention, and behavior in early childhood settings. Related curriculum and instructional methods for increasing student efficacy in across general and special education, with the use of assistive technologies. Focuses on a wide range of learning environments including home, school, and recreational settings. Teacher knowledge/skill development on family and professional partnerships, inclusion, advocacy, interagency collaboration.

Covers the etiology, characteristics, and services for students with low-incidence disabilities affecting development across early childhood, childhood, and adolescence. Focus is on curriculum and instruction for intellectual, socioemotional, physical, behavioral, and communicative learning. Includes assistive technology. Instructional methods in varied learning environments including home, school, and community-based settings is central to course content. Course also addresses facilitation of family partnerships, inclusion, advocacy, interagency collaboration.No Course Description Available

This course focuses on methods of teaching English and native language arts and literacy to multilingual learners. Topics include connecting research-based methods to instructional strategies; examining the role of cultural, linguistic and individual factors in the development of biliteracy; and investigating how bilingual students use their home language skills to develop and acquire English literacy.

This elective course assists MFA candidates in the development of a substantial body of work in preparation for exhibitions. Issues addressed include the production, installation and display of work, artist statements, catalog essays, and other materials that might accompany an exhibition.

Examines developments of culture, politics, and media in contemporary Middle East through an historical and cultural lens. Course is organized by theoretical theme and geographic location and addresses culture as a site of struggle; the impact of globatlization on Arab mass media; the connections between civil society, demoracy and Islam; and gender, national and diasporic identities.

This course examines migration, mobility and the role of media and technology in redefining cultural borders and citizenship. We will discuss how the presence and representation of migrants and immigration reconfigure visions of national belonging. How are migrants imagined and surveilled in global urban contexts? How do media and technology enable the (re)imagining of transnational communities and cultural politics? Through discussions and lectures, students will engage with changing urban landscapes and emerging networks of migration.

This course covers the theory and recent research on the application of mindfulness and other forms of meditation to individual and social well-being in different contexts. We will examine the implementation and evaluation of mindfulness programs in schools, organizations, and psychotherapeutic settings, as well as the neurophysiological mechanisms underlying effects on
learning, cognition, and well-being. The course will be designed to foster critical thinking about the science behind one of the fastest growing education, workplace, and therapeutic interventions.

Minority-serving institutions (i.e., historically Black colleges and universities, Tribal colleges and universities, Hispanic-serving institutions, and Asian-serving institutions) all play a significant, but under-examined role in American higher education. This course covers the development and evolution of these institutions in the context of American higher education both historically and more contemporarily. This course will emphasize the characteristics of MSIs based on their political and racialized origins, student populations, funding schemes, governance and leadership.

Course provides students with a basic knowledge of missing data analysis, beginning with the types of missing data mechanisms (e.g., missing completely at random). We then discuss the problems with ignoring missing data and examine problems with conventional fixes. Single imputation with noise is contrasted with multiple imputation approaches. Real examples from policy research are given throughout. More advanced topics include pattern mixture models and handling data that are not missing at random.

This course explores the art and craft of mixing records, with special attention to “mixing in the box” (via a digital audio workstation). Focus on methodology and technique, with particular emphasis on establishing balances, using such tools as compression and automation to enhance dynamics and develop unique coloration. Examines intersection of technology, budgets, and the marketplace. Students execute their own mixes, with guidance and critique from the instructor. Basic level of DAW proficiency required.

In recent years, content moderation received attention as screening of user-generated content on social media platforms. Content moderators filter explicit materials, hate speech, and misinformation and thus play an important role in the curation of online experiences. Content moderation pertains to questions on the digital political economy, online culture, as well as democracy and social justice. This course examines the implications of content moderation for how we understand media technologies, online platforms, labor relations, and politics in the digital age.

A content mathematics course in modern and abstract algebra for teachers.

The course provides students with the software skills and theoretical knowledge required to apply latent construct measurement techniques in R. The course assumes a working knowledge of R, linear regression, and basic probability. Continuous and categorical latent variables, dimensionality reduction, clustering, and finite mixture and diagnostic classification models are covered. The course focuses on cross-sectional applications of measurement techniques, with examples drawn from education, psychology, social science.

This course focuses on the etiology, neuroanatomy, and symptoms of common neurological disorders and their associated motor speech problems. Types of dysarthria and apraxia of speech are compared to establish a foundation for differential diagnosis. A hypotheses-based context for assessment & treatment is used to form hierarchies and estimate prognosis. We will use a patient-centered and evidence-based practice framework to discuss the impact of multicultural and psychosocial factors on the patient’s participation in rehabilitation.

This course examines anatomical, biomechanical, developmental, and qualitative principles of human movement analysis. It is an overview of object analysis and notation systems of movement in dance. The movement analysis models include methods for describing, assessing, documenting, and delivering feedback/assessments applicable to all dance forms. Students explore systems such as Language of Dance, Movement Behavior Analysis and Profiling, Laban Movement Analysis, Eshkol-Wachman Movement Notation, and others.

This is a course on models for multi-level growth curve data. These data arise in longitudinal designs, which are quite common to education and applied social, behavioral and policy science. Traditional methods, such as OLS regression, are not appropriate in this settings, as they fail to model the complex correlational structure that is induced by these designs. Proper inference requires that we include aspects of the design in the model itself. Moreover, these more sophisticated techniques allow the researcher to learn new and important characteristics of the social and behavioral processes under study. In this module, we will develop and fit a set of models for longitudinal designs (these are often called growth curve models). The course assignments will use state of the art statistical software to explore, fit and interpret the models.

This is a course on models for multi-level nested data. These data arise in nested designs, which are quite common to education and applied social, behavioral and policy science. Traditional methods, such as OSL regression, are not appropriate in this setting, as they fail to model the complex correlational structure that is induced by these designs. Proper inference requires that we include aspects of the design in the model itself. Moreover, these more sophisticated techniques allow the researcher to learn new and important characteristics of the social and behavioral processes under study. In this module, we will develop and fit a set of models for nested designs (these are sometimes called hierarchical linear models). The course assignments will use state of the art statistical software to explore, fit and interpret the models.

Current theories and practices in multicultural and anti-bias education. Reflection on self and others leading to a critical examination of multiple perspectives. Development of transformative multicultural curricula based on an understanding of the historical/social context in which groups interacted and formulated world views.

Assignment to music industry companies. Responsibilities include business administration, creative services, marketing, production, & promotion. Mid-term & final company analysis reports required.

A coordinated sequence of workshops, seminars & other activities that provides professional development for Music Business Graduate Program students from their first to last semesters. The sequence has two components: Workshops and Executive Connection. Both components are coordinated with a third: Music Business Graduate Internship, which is a separate for-credit course (E85.2510), & supported by an online component.