Carpe Datum Lead Instructor

Updated: 16 days ago
Location: New York City, NEW YORK
Deadline: 28 Apr 2021

Carpe Datum Lead Instructor
New York University: NYU - NY: Steinhardt School of Culture, Education and Human Development: Adjuncts: Adjuncts_ASH
Location
New York, NY
Open Date

Apr 14, 2021


Deadline
Apr 28, 2021 at 11:59 PM Eastern Time
Description

The Department of Applied Statistics, Social Science, and the Humanities at New York University is seeking to hire an Instructor for an undergraduate quantitative reasoning course called Carpe Datum. This course motivates students to understand many of the foundational ideas in statistics by posing and trying to answer four motivational questions. How many types of people are there? When and how will you die? Will you make money? Is the system fair? The materials for this course are fully developed and the course is offered in a fully online and asynchronous format.  

Responsibilities

Preparing the course for summer delivery will require adapting deadlines designed for a 14 week long semester. Learning and assessment materials are spread across the Brightspace LMS; Perusall, a collaborative annotation tool; custom RShiny simulations; and myDalite, an asynchronous peer instruction tool.

The role of the instructor is to coordinate release of materials; monitor student progress; offer support through Perusall annotations, Brightspace forums, announcements, direct emails, and in office hours; and manage the work of course assistants.  The course runs from May 24 to July 5 but preparation for the course will start several weeks before course launch.

Course Description

How many types of people are there? When and how will you die? Will you make money?
Is the system fair? This fully online course will introduce you to topics in data science,
probability, and statistics through big life questions. You will learn to code in the R
language and use simulation-based methods rather than equations for inference.
In addition to fluency in manipulating and exploring data, we will emphasize conceptual
understanding of topics including stochastic processes, categorical vs. continuous
variables, simulation, hypothesis testing, and expected value.


Qualifications

Qualified Applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching statistics to undergraduates is preferred.  Previous experience teaching statistics more broadly is required. Experience teaching a large or asynchronous course is desirable.


Application Instructions

Please submit a CV and a cover letter via Interfolio.  If applicable you may submit syllabi and teaching reviews from previous courses you have taught.  Deadline for applications is Friday, April 23. If you have any questions please contact Jennifer Hill at jennifer.hill@nyu.edu.


Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
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Description

The Department of Applied Statistics, Social Science, and the Humanities at New York University is seeking to hire an Instructor for an undergraduate quantitative reasoning course called Carpe Datum. This course motivates students to understand many of the foundational ideas in statistics by posing and trying to answer four motivational questions. How many types of people are there? When and how will you die? Will you make money? Is the system fair? The materials for this course are fully developed and the course is offered in a fully online and asynchronous format.  

Responsibilities

Preparing the course for summer delivery will require adapting deadlines designed for a 14 week long semester. Learning and assessment materials are spread across the Brightspace LMS; Perusall, a collaborative annotation tool; custom RShiny simulations; and myDalite, an asynchronous peer instruction tool.

The role of the instructor is to coordinate release of materials; monitor student progress; offer support through Perusall annotations, Brightspace forums, announcements, direct emails, and in office hours; and manage the work of course assistants.  The course runs from May 24 to July 5 but preparation for the course will start several weeks before course launch.

Course Description

How many types of people are there? When and how will you die? Will you make money?
Is the system fair? This fully online course will introduce you to topics in data science,
probability, and statistics through big life questions. You will learn to code in the R
language and use simulation-based methods rather than equations for inference.
In addition to fluency in manipulating and exploring data, we will emphasize conceptual
understanding of topics including stochastic processes, categorical vs. continuous
variables, simulation, hypothesis testing, and expected value.


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