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NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.

Fall 2022 Sustainability Science PS5060 section 001

Call Number 13290
Day & Time
W 6:10pm-8:00pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor James L Davis
Method of Instruction In-Person
Course Description Students in the Master of Science in Sustainability Science will encounter a range of scientific problems throughout their Science-specific courses that require a strong foundational level of mathematical and statistical knowledge.  In addition, course-work will involve computer coding to read, analyze, and visualize data sets.  This course provides an overview of essential mathematical concepts, an introduction to new concepts in statistics and data analysis, and provides computer coding skills that will prepare students for coursework in the Master of Science in Sustainability Science program as well as to succeed in a career having a sustainability science component.  In addition to an overview of essential mathematical concepts, the skills gained in this course include statistics, and coding applied to data analysis in the Sustainability Sciences. Many of these skills are broadly applicable to science-related professions, and will be useful to those having careers involving interaction with scientists, managing projects utilizing scientific analysis, and developing science-based policy. Students enrolled in this course will learn through lectures, class discussion, and hands-on exercises that address the following topics: Review of mathematical concepts in calculus, trigonometry, and linear algebra; Mathematical concepts related to working on a spherical coordinate system (such as that for the Earth); Probability and statistics, including use of probability density functions to calculate expectations, hypothesis testing, and the concept of experimental uncertainty; Concepts in data analysis, including linear least squares, time-series analysis, parameter uncertainties, and analysis of fit; Computer coding skills, including precision of variables, arrays and data structures, input/output, flow control, and subroutines, and coding tools to produce basic X-Y plots as well as images of data fields on a global map.
Web Site Vergil
Department Sustainability Technology
Enrollment 5 students (15 max) as of 9:37AM Monday, August 15, 2022
Subject Sustainability Science
Number PS5060
Section 001
Division School of Professional Studies
Open To Engineering:Graduate, GSAS, SIPA, Professional Studies
Campus Morningside
Note Cross Registration begins September 2, 2022
Section key 20223SUSC5060K001

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SIS update 08/15/22 09:37    web update 08/15/22 09:40