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Stochastic methods
Stochastic methods












stochastic methods

The course is designed for students who have taken a semester of college calculus or the equivalent, and the focus is on preparation for a mathematical study of probability and statistics. Students seeking a foundation for further study of probability theory and statistical theory and methods should take STAT UN1201 CALC-BASED INTRO TO STATISTICS. It is recommended for pre-med students, and students contemplating the concentration in statistics.

stochastic methods

The course is designed for students who have some mathematical maturity, but who may not have taken a course in calculus, and the focus is on the elements of data analysis. Students seeking an introduction to applied statistics should take STAT UN1101 INTRODUCTION TO STATISTICS. It is suitable for students seeking to satisfy the Barnard quantitative reasoning requirements. The course is designed for students who have taken a pre-calculus course, and the focus is on general principles. Students interested in statistical concepts, who plan on consuming, but not creating statistics, should take STAT UN1001 INTRO TO STATISTICAL REASONING. Statistics Major and Concentration Advising: Ronald Neath, 612 Watson 21 Gabriel Young, 610 Watson 21 Science Major Advising: Computer Science: Augustin Chaintreau, 610 CEPSR 21 Statistics: Ronald Neath, 612 Watson 21 Statistics: Gabriel Young, 610 Watson 21 - Statistics Major Advising: Economics: Susan Elmes, 1006 IAB 21 Statistics: Ronald Neath, 612 Watson 21 Statistics: Gabriel Young, 610 Watson 21 - Statistics Major Advising: Mathematics: Julien Dubedat, 601 Mathematics 21 Statistics: Ronald Neath, 612 Watson 21 Statistics: Gabriel Young, 610 Watson 21 Science - Statistic Major Advising: Political Science: Naoki Egami, 734 IAB 21 Statistics: Ronald Neath, 612 Watson 21 Statistics: Gabriel Young, 610 Watson 21 Administrator:ĭood Kalicharan, 1003 School of Social Work 21 Department offers several introductory courses. 1005 School of Social Work (1255 Amsterdam Avenue) 21














Stochastic methods