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

Spring 2022 Sustainability Science PS5060 section 001 STATISTICS, DATA ANALYSIS, AND CODING FO STATS, DATA, ANLYS&CODING | |

Call Number | 11619 |

Day & Time Location |
W 6:10pm-8:00pm 212A Lewisohn Hall |

Points | 3 |

Grading Mode | Standard |

Approvals Required | None |

Instructor | Michael Previdi |

Type | LECTURE |

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 | 9 students (20 max) as of 4:37PM Monday, November 28, 2022 |

Subject | Sustainability Science |

Number | PS5060 |

Section | 001 |

Division | School of Professional Studies |

Open To | Professional Studies |

Campus | Morningside |

Note | IN-PERSON. CROSS-REG FOR NON-SUSC STUDENTS BEGINS JAN 14 |

Section key | 20221SUSC5060K001 |

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