Individual research in the student's field of specialization at the masters level. DEES PhD students register for this in the semester in which thay take their Masters Exam.
In this course, you will learn the fundamentals of programming so you can start writing web applications that can potentially be used in non-profit or public sectors. The course will be very hands-on and you are expected to code during the class. The topics will include - fundamentals of computer science, programming basics, data structures, client-server architecture, javascript, application programming interface, LAMP stack and web frameworks, design tools, scalability issues and infrastructure for application deployment. We will discuss some of these topics in the context of agile development methodology for startups. If you are interested in building a startup as a social entrepreneur, the tools and methods you learn in this course should help you in coding the first prototype of your application. As part of the final project, you are expected to build a fully functional web application. No programming background is required. Students are expected to complete all the reading assignments before the first day of class.
Open only to graduate students in the basic medical science departments. Prerequisite: Pathology G6001, a course in human neuroanatomy, and course director’s 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.
The linguistic fundamentals of the study of style: the function of language; language and discourse; pragmatic aspects of communication; theories of literarity; notions of style; models of classic rhetoric. The theories and methods of modern stylistics. Style resources: lexicon; syntax; prosody; the grammar of the text; composition; narrative techniques; argumentation; metrics; prosodics. The text and the intertext. Stylistic analysis from the 16th to the 20th century of French texts in prose and in verse.
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 all three sectors.
Reading and discussion of primary and secondary materials dealing with Japanese history from the 16th through 19th centuries. Attention to both historical and historiographic issues, focusing on a different theme or aspect of early modern history each time offered. Field(s): EA
Prerequisites: MESAAS Pre-M.Phil students only.
This course provides a structured setting for stand-alone M.A. students and Ph.D. students to develop their research trajectories in a way that complements normal coursework. The seminar meets occasionally throughout the spring term and each session is moderated by a faculty sponsor. This course is the second semester counterpart to the for-credit MESAAS Research Colloquium (G6008). Participation in the spring research workshop is not required, but it is strongly encouraged
Prerequisites: ECBM E4060 or the instructor's permission.
Beyond bioinformatics, cells as systems. Metabolic networks, transcription regulatory networks, signaling networks. Deterministic and stochastic kinetics. Mathematical representation of reconstructed networks. Network motifs. Signal transduction and neuronal networks. Robustness. Bacterial chemotaxis and patterning in fruit fly development. Kinetic proofreading. Optimal gene circuit design. Rules for gene regulation. Random networks and multiple time scales. Biological information processing. Numerical and simulation techniques. Major project(s) in Matlab.