May be repeated for up to 6 points of credit. Graduate-level projects in various areas of electrical engineering and computer science. In consultation with an instructor, each student designs his or her project depending on the students previous training and experience. Students should consult with a professor in their area for detailed arrangements no later than the last day of registration.
Advanced computational modeling and quantitative analysis of selected physiological systems from molecules to organs. Selected systems are analyzed in depth with an emphasis on modeling methods and quantitative analysis. Topics may include cell signaling, molecular transport, excitable membranes, respiratory physiology, nerve transmission, circulatory control, auditory signal processing, muscle physiology, data collection and analysis.
Individual research in the students field of specialization at the masters level. DEES PhD students register for this in the semester in which thay take their Masters Exam.
Open only to graduate students in the basic medical science departments. Prerequisite: Pathology G6001, a course in human neuroanatomy, and course directors permission. Gross and microscopic study of lesions of the nervous system, with attention to functional derangement associated with them. Lectures, laboratory, conferences, and assigned readings.
Project-based design experience for graduate students. Elements of design process, including need identification, concept generation, concept selection, and implementation. Development of design prototype and introduction to entrepreneurship and implementation strategies. Real-world training in biomedical design and innovation.
Priority Reg: MIA and MPA.
The course is designed to introduce you to the field of public management. It is a practical course, organized around the tools managers may use to influence the behavior of their organizations. The course also discusses the political environment in which public managers must interact. This course serves as an introduction to management in government and in the non-profit and private organizations that contract with and/or partner with government to provide public services. Lectures, cases, discussions and group projects focus on an array of management tools that help managers implement public policy and deliver critical services. While many examples come from the instructor's experience in New York City and US state and federal agencies, numerous comparative cases and projects from Asia, Latin America and Europe are used to discover best practices, common challenges and the impact of culture on organization behavior. The course will be valuable to those expecting a career in large, complex organizations, either as a manager or a policy advisor. A laboratory section focuses on assigned readings and case studies, provides more opportunities for student discussions and brings in prominent guest speakers from multiple sectors.
Introduction to and application of commercialization of biomedical innovations. Topics include needs clarification, stakeholder analysis, market analysis, value proposition, business models, intellectual property, regulatory, and reimbursement. Development of path-to-market strategy and pitch techniques.
This course provides a structured setting for stand-alone M.A. students in their final year and Ph.D. students in their second and third years to develop their research trajectories in a way that complements normal coursework. The seminar meets approximately biweekly and focuses on topics such as research methodology; project design; literature review, including bibliographies and citation practices; grant writing. Required for MESAAS graduate students in their second and third year.
Pre-reqs: INAF U6004 or INAF U6006.
This course introduces students to the fundamentals of Artificial Intelligence (AI), its applications in public policy, and its implications for the future of governance. Students will gain a foundational understanding of AI, including the mathematical and programming principles behind common machine learning algorithms used for prediction, classification, and clustering. The course explores practical applications of AI across sectors such as business, non-profits, and government, highlighting its transformative potential. In the final segment, students will apply their knowledge to design AI solutions for public policy challenges. Through a "Concept to Implementation" process, student groups will identify problems, navigate data and algorithmic considerations, and propose actionable AI-driven solutions.
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.
Field education is a central component in each student's professional education, and requires 21 hours a week for all four terms of the full-time M.S. degree. Placements provide a range of experiences to integrate with theoretical learning from class work and to develop knowledge, values, and skills for social practice.