cs.columbia.edu
RegisteredAbout the projectcs. columbia. edu is the official web resource of the Department of Computer Science at Columbia University, located in New York. The site serves as the main information ...
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Website Description
About the project
cs. columbia. edu is the official web resource of the Department of Computer Science at Columbia University, located in New York. The site serves as the main information hub for the academic community: it collects data on teaching staff, educational programs and current scientific research. The resource is aimed at both applicants and current students and faculty members.
The portal structure is clearly divided into logical blocks, which simplifies navigation between administrative issues and scientific activities. Particular attention is paid to the transparency of the educational process: from the course schedule to the rules of academic integrity.
Main directions
The academic activities of the department cover a wide range of disciplines, which are structured into separate research groups. The site highlights the following key areas:
- Machine learning and artificial intelligenceis one of the central areas of research.
- Computer vision and robotics.
- Network technologies and security, including data privacy issues.
- Natural language processing (NLP) and speech recognition.
- Software systems and computer engineering.
- Computational biology.
- Theory of computation.
- Graphics and user interfaces.
The educational process is divided into several levels. Computer engineering programs are available for bachelors. The Master's program (MS) has its own characteristics, including a special iMS Bridge Programi, which, as the name suggests, serves as a bridge to prepare for the main study. A unique dual degree is also offered - iDual MS in Journalism and Computer Sciencei, which indicates the interdisciplinary approach of the university.
A standard PhD program is provided for doctoral students. It is important to note the presence of a section with technical reports and research news, which emphasizes the scientific focus of the department.
Features of the site
The site interface is functional and focused on the internal audience. There is no marketing fluff here, only dry facts and navigation. Main sections include:
- Employee Directory: alphabetical list of teachers, affiliates, faculty achievements and open vacancies.
- Learning materials: courses, registration, academic integrity information.
- Student Support: Career Development FAQs (CPT FAQs), awards, student organizations, and academic advising services.
- News and media: press releases, interviews and media publications about the work of the department.
The section for applicants is worth mentioning separately. It contains answers to frequently asked questions (FAQ) and information about Affiliated Programs. This helps potential students quickly navigate the requirements and opportunities for admission.
Contact information
There are no direct contact information (address, phone, email) in the provided text fragments. However, the structure of the site implies the presence of sections iAbout the Departmenti (About the Department) and iDirectoryi (Directory), where such information is usually posted. For communication, it is recommended to use internal forms or search for contacts of specific employees through the Faculty by Name section.
FAQ
What educational programs does the department offer?
The department offers programs for bachelors (Computer Engineering), masters (MS Program, including MS Bridge Program and Dual MS in Journalism and Computer Science) and doctoral students (PhD Program).
Is it possible to combine journalism and computer science?
Yes, there is a special Dual MS in Journalism and Computer Science program that allows you to obtain two degrees at the same time.
Where can I find information about scientific research?
Information is available in the Research Areas sections (listing areas such as ML, NLP, Security, Robotics, etc.), as well as in the Technical Reports and Research in the News subsections.
How can students get help with their careers or studies?
The Academic Advising, Careers CPT FAQs, and Student Awards sections provide this information.
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Domain Name: COLUMBIA.EDU
Registrant:
Columbia University
615 West 131st Street
CUIT - 5th Floor
New York, NY 10027
USA
Administrative Contact:
Domain Admin
Columbia University
615 West 131st Street
CUIT - 5th Floor
New York, NY 10027
USA
+1.2128541919
[email protected]
Technical Contact:
Columbia University
615 West 131st Street
CUIT - 5th Floor
New York, NY 10027
USA
+1.2128541919
[email protected]
Name Servers:
AUTH1.DNS.COGENTCO.COM
EXT-NS1.COLUMBIA.EDU
AUTH2.DNS.COGENTCO.COM
NS1.LSE.AC.UK
Domain record activated: 05-Jul-1985
Domain record last updated: 08-Dec-2025
Domain expires: 31-Jul-2027
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