Research in medical informatics under the direction of a faculty adviser.
Current topics in the Earth sciences.
For first year doctoral students, emphasizing the skills needed for success in orienting them to Columbia and doctoral studies, including teaching and presentation skills (i.e., Microteaching, how to grade, hold office hours, conduct recitations, etc.); cultivating relationships with mentors, faculty, and colleagues; inclusivity; managing your budget; wellness; research and academic integrity and ethics.
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.
Theoretical Paradigms in Feminist Scholarship:
Course focuses on the current theoretical debates of a particular topic or issue in feminist, queer, and/or WGSS scholarship. Open to graduate students, with preference given to students completing the ISSG graduate certificate. Topics differ by semester offered, and are reflected in the course subtitle. For a description of the current offering, please visit the link in the Class Notes.
A survey of diffuse matter in the universe with emphasis on astrophysical processes and their observational consequences. Topics include radiative transfer, dust, ionization, thermal balance, magnetic fields, hydrodynamics, shocks and star formaion in the context of gaseous nebulae and the multi-phase ISM, ICM and IGM.
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.
Second semester of project-based design experience for graduate students. Elements of design process, with focus on skills development, prototype development and testing, and business planning. Real-world training in biomedical design, innovation, and entrepreneurship.
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.
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.
An experiment is a data collection strategy that involves randomization and control. Combined, these features allow for the unbiased estimation of causal effects in a sample. The goal of this course is to introduce you to the logic but especially practice of experiments. This course has two parts. The first part is an introduction to experimental logic and design, principally through exemplary experimental studies. You will apply this knowledge in the second part of the course, which is a practicum. You will design, carry out, and analyze an online experiment on a topic of your choice. This course is strictly limited to doctoral students in Sociology and related disciplines. In addition, only students who have taken at least an introductory statistics course (through linear regression) are eligible to enroll.