Research in medical informatics under the direction of a faculty adviser.
Current topics in the Earth sciences.
Corequisites: SOCI G4076 This course examines quantitative methods used in sociology. Students will need to have completed SOCI GR4074 before enrolling. The approach taken in this class is highly applied with an emphasis on developing practical skills for data analysis. We begin with a focus on linear models, discussing the regression model as a tool for data description and causal analysis. We then introduce generalized linear models and conclude by reviewing some special applied including weighting and missing data. Data analysis for the course will be conducted in Stata which is available for download from the department of Sociology.
This graduate seminar serves as an introduction to second language (SL) teaching for in-service instructors of language, and language and content courses. It highlights pedagogical principles, methodological strategies, and practical activities that are critical for new instructors teaching SL courses at the university level for the first time at Columbia University.
Students consider major theoretical constructs (culture, language, mind, metaphor, communication, context) and contemporary teaching approaches in the field of instructed second language acquisition (concept-based teaching, communicative language teaching, literacy-oriented approaches, task-project based learning). They will also engage with basic teaching techniques (lesson planning, use of the target language, technology integration, task design, grammar teaching, utilization of written and oral authentic materials in the classroom), reflective teaching practices (teachers as learners of teaching, dynamics of classroom communication, the role of teachers’ beliefs about pedagogical practices), and the design of testing and assessment measures (contextualized test design, portfolios, and grading criteria).
The main goal of the course is to connect critical pedagogy as well as sociocultural and cognitive theories with classroom practice through guest workshops, collaborative discussion, online forums, lesson plan design, observation of SL classrooms, peer feedback, and portfolio development.
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.
Research in an area of Electrical Engineering culminating in a verbal presentation and a written thesis document approved by the thesis instructor. Must obtain permission from a thesis instructor to enroll. Thesis projects span at least two terms: an ELEN E6001 or E6002 Advanced Project followed by the E6003 Master’s Thesis with the same instructor. Students must use a department recommended format for thesis writing. Counts towards the amount of research credit in the MS program.
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.
MIA & MPA Leadership and Management II Core.
This course explores key themes in people management and organizational culture, equipping students with skills to lead diverse teams and build resilient, high-performing workplaces. Through case studies, simulations, and applied exercises, students will examine talent strategy, performance management, inclusive leadership, and organizational design. The course emphasizes practical tools for navigating complex challenges such as incentive structures, conflict resolution, and talent retention in dynamic global environments.
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.
MIA & MPA Leadership and Management II Core.
This course introduces students to the field of public management, focusing on the tools and strategies managers use to influence organizational behavior and deliver public services. Through lectures, case studies, discussions, and group projects, students will explore management practices in government and in nonprofit and private organizations that partner with the public sector. The course draws on examples from New York City and U.S. agencies, as well as comparative cases from Asia, Latin America, and Europe. A lab section deepens engagement with course materials and features guest speakers from across 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.
Prerequisites: graduate course in ANOVA, General Linear Model or the instructors permission. A survey course in statistical methods for the analysis of repeated measures data, including data from experimental and nonexperimental studies. Surveys classical (e.g. MANOVA) and modern methods (e.g. Multilevel Models) for both continuous and categorical outcomes.
MIA & MPA Leadership and Management II Core.
This course equips students with the skills, strategies, and resilience necessary to lead effectively during extreme events and complex crises. Drawing on case studies, personal narratives, and interactive exercises, the course examines how crises —ranging from natural disasters and terrorist attacks to cyber incidents and pandemics —require adaptive management and decisive leadership under intense pressure. Students will examine the multiple forces that shape crisis response, including social, cognitive, operational, and political dynamics. The course provides a framework for assessing risk, coordinating cross-sector efforts, developing crisis communication strategies, and fostering innovation in fast-evolving situations.
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.