394 Dr. Pallavi Patel College of Health Care Sciences—Department of Occupational Therapy Doctoral-Level Courses Doctoral seminars provide in-depth exploration, study, and training, occurring after returning from the first Level II Experience. The following four courses provide the student with the opportunity to select two courses of 3 credits each from the four courses listed below. The fifth course, OTD 8315 Topics in Contemporary and Emergent Practice, provides focused training in one of four tracks. (3 credits) OTD 8311—Occupational Science This course presents an overview of conceptual frameworks, literature, taxonomies, and research strategies of occupational science. Topics will be examined from multidisciplinary perspectives on work, play, leisure, occupation, and contexts for occupation. Students will select an area for in-depth study. (3 credits) OTD 8312—Wellness in Occupational Therapy This course examines occupational therapy’s role in wellness and health promotion, disability postponement, and prevention in general. Students critically examine various practice models with a view toward developing and refining their own roles in these practice areas. (3 credits) OTD 8313—Applying Measurement Theory to Evaluation Provides students with a general background in measurement theory and assists students in actively applying this information to the evaluation process in occupational therapy. The application component of the course addresses evaluation at both the individual and program levels. At the completion of this course, students can critically examine and select the most appropriate tools for practice situations using the theory and principles of measurements. (3 credits) OTD 8314—Sensory Processing Basis of Occupational Performance This course provides examination of the theory and practice of sensory processing in occupational therapy through the original literature and current information from neuroscience and evidence-based practice found in articles and through interaction with classmates. Students will apply this knowledge to a specific group of individuals or to a curriculum plan. This is an advanced-level course. It is anticipated that students in this course will have some prior knowledge and experience in this area of practice. (3 credits) OTD 8315—Topics in Contemporary and Emergent Practice This course provides focused training in one of four learning tracks that addresses occupation-based contemporary and emerging practice areas, advanced skills, and/or professional development. The four learning tracks are 1) skills, 2) mental health, 3) children and youth, and 4) physical disabilities. Each track will contain no more than four modules, including, but not limited to, 1) skills: physical agent modalities, anatomy, neuroanatomy, and kinesiology; 2) mental health: addictions, trauma-induced care, Post-Traumatic Stress Disorder, violence, and abuse; 3) children and youth: NDT, NICU, school system, and behavioral interventions; and 4) physical disabilities: oncology, work programs/ergonomics, splinting, and hands specialty. (3 credits) OCT 7220—Research Ethics This course introduces students to ethics concepts as they apply to questions and challenges in conducting research with human subjects. The aim is to increase students’ awareness of and ability to reason through ethical issues that arise in human subjects research. The course will draw upon historical examples, codes, declarations, and other sources of ethical guidance including discussions of contemporary controversies in human subjects research. (3 credits) OCT 7300—Biostatistics I This course presents statistical methods commonly used in the analysis of health research data. Topics include descriptive statistics, basic concepts of probability, statistical inference, analysis of variance, correlation, regression, and nonparametric statistical techniques. Emphasis is on understanding and applying statistical concepts and techniques to research data within the health sciences. (3 credits) OCT 7310—Biostatistics II The focus of this course is on advanced and multivariate statistical methods. Topics include data screening, multiple regression, multivariate analysis of variance and covariance, multilevel modeling, and related statistical procedures. Emphasis is on understanding and applying statistical concepts and techniques to research data as well as developing the ability to critically analyze research methods used in the scientific literature. Emphasis is on understanding and applying statistical concepts and techniques to research data within the health sciences. (3 credits)
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