For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Category Archives: Quantitative Reasoning
Elective Courses in Liberal Arts & Sciences
Quantitative Reasoning: Elementary Statistics (CORE-UA 105)
For course description, please consult the College Core Curriculum website: http://core.cas.nyu.edu
College Core Curriculum (Undergraduate)
4 credits – 15 Weeks
Data Structures (CSCI-UA 9102)
The use and design of data structures, which organize information in computer memory. Stacks, queues, linked lists, binary trees: how to implement them in a high level language, how to analyze their effect on algorithm efficiency, and how to modify them. Programming assignments.
Computer Science (Undergraduate)
4 credits – 15 Weeks
Sections (Fall 2021)
CSCI-UA 9102-000 (19807)09/02/2021 – 12/14/2021 Tue,Thu12:00 AM – 1:00 PM (Early afternoon)at NYU Paris (Global)Instructed by Cosse, Augustin Marie Dominique
CSCI-UA 9102-000 (19808)09/02/2021 – 12/14/2021 Tue2:00 PM – 3:00 PM (Early afternoon)at NYU Paris (Global)Instructed by Cosse, Augustin Marie Dominique
Introduction to Data Science (DS-UA 112)
Introduction to Data Science offers the fundamental principles and techniques of data science. Students will develop a toolkit to examine real world examples and cases to place data science techniques in context, to develop data-analytic thinking, and to illustrate that proper application is as much an art as it is a science. In addition, students will gain hands-on experience with the Python programming language and its associated data analysis libraries. Students will also consider ethical implications surrounding privacy, data sharing, and algorithmic decision making for a given data science solution.
Data Science (Undergraduate)
4 credits – 15 Weeks
Data Science for Everyone (DS-UA 111)
Data Science for Everyone is a foundational course that prepares students to participate in the data-driven world that we are all experiencing. It develops programming skills in Python so that students can write programs to summarize and compare real-world datasets. Building on these data analysis skills, students will learn how draw conclusions and make predictions about the data. Students will also explore related ethical, legal, and privacy issues.
Data Science (Undergraduate)
4 credits – 15 Weeks
Sections (Fall 2021)
DS-UA 111-000 (9775)09/02/2021 – 12/14/2021 Mon,Wed3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by Jones-Rooy, Andrea · Spirling, Arthur
DS-UA 111-000 (9776)09/02/2021 – 12/14/2021 Thu4:00 PM – 5:00 PM (Late afternoon)at Washington SquareInstructed by López Peceño, Alejandro
DS-UA 111-000 (9778)09/02/2021 – 12/14/2021 Thu5:00 PM – 6:00 PM (Late afternoon)at Washington SquareInstructed by Palmer, Lexi
DS-UA 111-000 (9779)09/02/2021 – 12/14/2021 Fri3:00 PM – 4:00 PM (Late afternoon)at Washington SquareInstructed by López Peceño, Alejandro
DS-UA 111-000 (9780)09/02/2021 – 12/14/2021 Fri8:00 AM – 8:00 AM (Morning)at Washington SquareInstructed by Kottur, Ankita Vijaya Kumar
DS-UA 111-000 (9781)09/02/2021 – 12/14/2021 Fri2:00 PM – 3:00 PM (Early afternoon)at Washington SquareInstructed by Palmer, Lexi