Prerequisites: The qualifying examinations for the doctorate. Open only to certified candidates for the Ph.D. and Eng.Sc.D. degrees. Doctoral candidates in chemical engineering are required to make an original investigation of a problem in chemical engineering or applied chemistry, the results of which are presented in their dissertations. No more than 15 points of credit toward the degree may be granted when the dissertation is accepted by the department.
All doctoral students are required to attend the department seminar as long as they are in residence. No degree credit is granted.
This is a course during which the mid-career executives who are enrolled as students in the Executive MPA program exhibit and share professional work they have managed or directly created during their first year in the program. Materials are presented to the faculty and students for criticism, analysis, and potential improvement.
All doctoral students are required to complete successfully four semesters of the mechanical engineering seminar MECE E9500.
Open only to microbiology students. Students doing dissertation research register for this course, as well as students who are rotating through laboratories of staff members.
Using the format of a research seminar highlighting research “challenges” of the DNSc faculty , this course is designed to strengthen the student’s ability to integrate and synthesize knowledge in statistics and nursing research methodologies, and to apply this integrated knowledge to common problems in study design and data analysis.
Using the format of a research seminar highlighting research “challenges” of the DNSc faculty , this course is designed to strengthen the student’s ability to integrate and synthesize knowledge in statistics and nursing research methodologies, and to apply this integrated knowledge to common problems in study design and data analysis.
Using the format of a research seminar highlighting research “challenges” of the DNSc faculty , this course is designed to strengthen the student’s ability to integrate and synthesize knowledge in statistics and nursing research methodologies, and to apply this integrated knowledge to common problems in study design and data analysis.
Supervised directed readings and literature review in areas relevant to a students research program.
Supervised directed readings and literature review in areas relevant to a students research program.
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This course focuses on an advanced topic in the philosophy of language.
This course is intended to provide a hands-on introduction to delivering data visualizations to serve as a critical lens through which individual and population level health can be examined. The proposed course will combine concepts and theory in data visualization and exploration and practice to enable the student to gain the necessary knowledge to use graphics and statistics to explore the data, find and construct a narrative, and share findings in ways colleagues and decision-makes can readily understand and act upon.
This is a Law School course. For more detailed course information, please go to the Law School Curriculum Guide at: http://www.law.columbia.edu/courses/search