Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
Prerequisites: Requires approval by a faculty member who agrees to supervise the work.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Substantial independent project involving laboratory work, computer programming, analytical investigation, or engineering design.
This is a required course for undergraduate students majoring in OR:EMS. Managing Technological Innovation offers a principles-based approach to identifying, analyzing, and attacking high-growth markets. Students will learn to examine and analyze novel business problems in nascent industries with billion dollar potential. Lectures will focus on rational market analysis, separating signal from noise, executing sound decision-making processes in the startup context, and venture market psychology. The class will be a mix of case studies, lectures, guest speakers from the startup community, and in-class discussions. Grading will be based on class participation, case analyses, and longer group papers. Student will be expected to contribute thoughtful, well-reasoned, and clearly elucidated comments to discussions. In return for your attention and effort, you will have the chance to discuss real-world business problems with some of New York's most successful technology entrepreneurs and investors. Past guests have included founders and investors from AppNexus, Codecademy, BankSimple, Betterment, GroupMe, MongoDb, Razorfish, Union Square Ventures, IA Ventures, Andreessen Horowitz, and Founder Collective. This class is taught by two working professionals, and we expect the same quality of effort and attention to detail from our students as we would from anyone who works with us. There are no formal prerequisites, but knowledge and interest in the startup world, some knowledge about how small businesses are run, and the ability to write and communicate clearly will be important to do well.
Instructor's written approval required. Written application must be made prior to registration outlining proposed study program. Final reports required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office.
Prerequisites:
ECON W3211
,
W3213
,
W3412
, and the director of the departmental honors program's permission. Students must have a minimum GPA of 3.7 in all required major courses, including calculus and statistics, prior to enrollment.
The honors thesis seminar is a year-long course, beginning in the fall semester and ending in the spring semester. Students who have been approved to enter the workshop will be registered for both semesters by the department during the first two weeks of classes; 3 points are earned per semester. This workshop may only be taken by students applying for departmental honors, and it also fulfills the economics seminar requirement for the economics major and all joint majors. Students must see the director during mid-semester registration in the spring to discuss their proposed thesis topic, at which time they will be matched with appropriate faculty who will act as their thesis adviser. Students will meet their adviser over the course of the year at mutually agreed upon times. A rough draft of the thesis will be due during the first week of February in the spring semester, and the final draft will be due three weeks before the last day of classes. Please note that for those joint majors that require two seminars, one in economics and one in the other discipline (i.e., Political Science), the economics senior honors thesis seminar only fulfills the economics seminar requirement.
Prerequisites:
Obtained internship and approval from faculty advisor.
Only for IEOR graduate students who need relevant work experience as part of their program of study. Final reports required. This course may not be taken for pass/fail credit or audited.
Prerequisites: Instructor's written approval.
Only for ME graduate students who need relevant intern or field-work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. This course may not be taken for pass/fail credit or audited. International students must also consult with the International Students and Scholars Office.
Prerequisites: Internship and approval from advisor must be obtained in advance.
Only for masters students in the Department of Applied Physics and Applied Mathematics who may need relevant work experience as part of their program of study. Final report required. This course may not be taken for pass/fail or audited.
Prerequisites: the department's permission.
This course (required for all first-year graduate students in the English Department) introduces students to scholarly methodologies in the study of literature and culture. The Masters Seminar operates in tandem with the Masters Colloquium [ENGL G5005], and requires short writing assignments over the course of the semester and extensive in-class participation. There are two sections of this course.
Prerequisites: some background in ecology, evolutionary biology, and/or statistics is recommended.
An introduction to the theoretical principles and practical application of statistical methods in ecology and evolutionary biology. The course will cover the conceptual basis for a range of statistical techniques through a series of lectures using examples from the primary literature. The application of these techniques will be taught through the use of statistical software in computer-based laboratory sessions.
(Colloquium).
Prerequisites:
JPNS W4018
or the equivalent.
This course is intended to help students to develop language skills necessary for academic research. Students will read articles of various genres, watch videos, and debate issues from a wide range of fields, including economics, politics, history, comparative literature and current issues.