Introduction to Computational Thinking a

INTRO COMP THINK AND DATA SCI

This course and its co-requisite lab course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. The course is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or college-level math background is required.

• MW 11:40 a.m.-12:55 p.m.
• MW 1:10 p.m.-2:25 p.m.
• Instructor: Tiffany Tseng
  Info
• 3 points

Introduction to Computational Thinking a

LAB INTRO COMP THINK DATA

This is the co-requisite lab to COMS BC 1016 (Introduction to Computational Thinking and Data Science)

This course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. This class is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or math background is required.

• W 5 p.m.-6:30 p.m.
• R 10 a.m.-11:30 a.m.
• R 1 p.m.-2:30 p.m.
• R 3 p.m.-4:30 p.m.
• Instructor: Tiffany Tseng
  Info
• 1 points

WRITING WITH/ON COMPUTING

Writing with/on Computing
is an interdisciplinary course at the intersection of data science, visual arts, and narrative journalism, designed to equip students with the tools to investigate and narrate the impact of technology on marginalized communities. Through project-based learning, students explore how computing influences various social systems, with a particular focus on health, justice, migration, and digital surveillance. Investigations are based in the New York City metro area and result in interactive stories rooted in complex data analysis and visualization. The course fosters both technical training and a deeper understanding of social inequities, promoting a more equitable representation in media. There are no prerequisites for this class.

• T 11 a.m.-12:50 p.m.
• 4 points

INDEPENDENT STUDY

Independent Study. Instructor permission required.

• Instructor: Brian K Plancher
  Info
• 1-4 points

DEEP LEARNING FOR COMPUTER GRAPHICS

DEEP LEARNING FOR GRAPHIC

This undergraduate course covers deep learning basics, related math and the fundamental theory and application of AI algorithms that are popular in the field of computer graphics. Programming assignments will help students develop GPU programming skills while implementing concepts learned in lectures and readings using deep learning APIs on a GPU cluster. Convolutional neural networks (CNNs) for colorizing black and white movies is an example. Pre-Requisites: COMS W3157 Advanced Programming, Linear Algebra (UN2010), and Calculus I or higher.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: Corey Toler-Franklin
  Info
• 3 points

PRIVACY IN A NETWORKED WORLD

The ubiquity of computers and networks in business, government, recreation, and almost all aspects of daily life has led to a proliferation of online sensitive data: data that, if used improperly, can harm the data subjects. As a result, concern about the use, ownership, control, privacy, and accuracy of these data has become a top priority. This seminar course focuses on both the technical challenges of handling sensitive data, the privacy implications of various technologies, and the policy and legal issues facing data subjects, data owners, and data users.

• T 9 a.m.-10:50 a.m.
• Instructor: Lucy Simko
  Info
• 4 points

NEW DIRECTIONS IN COMPUTING

BUILDING USABLE SECURITY

This is an undergraduate seminar for special topics in computing arranged as the need and availability arises. Topics are usually offered on a one-time basis.  Participation requires permission of the instructor.  Since the content of this course changes each time it is offered, it may be repeated for credit.

• M 2:10 p.m.-4 p.m.
• Instructor: Lucy Simko
  Info
• 3 points

NEW DIRECTIONS IN COMPUTING

DIGITAL GAME DESIGN

This is an undergraduate seminar for special topics in computing arranged as the need and availability arises. Topics are usually offered on a one-time basis.  Participation requires permission of the instructor.  Since the content of this course changes each time it is offered, it may be repeated for credit.

• TR 6:10 p.m.-7:25 p.m.
• Instructor: Lisa Soros
  Info
• 3 points

NEW DIRECTIONS IN COMPUTING

LLM FOUNDATIONS & ETHICS

This is an undergraduate seminar for special topics in computing arranged as the need and availability arises. Topics are usually offered on a one-time basis.  Participation requires permission of the instructor.  Since the content of this course changes each time it is offered, it may be repeated for credit.

• MW 11:40 a.m.-12:55 p.m.
• Instructor: Smaranda Muresan
  h-index: 22 Info
• 3 points