Computer Science (CS)Engineering

Showing 90 results.

Course descriptions provided by the Courses of Study 2016-2017.

CS 1110

Programming and problem solving using Python. Emphasizes principles of software development, style, and testing. Topics include procedures and functions, iteration, recusion, arrays and vectors, strings, ... view course details

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    Choose one lecture and one discussion.

  • 4 Credits Opt NoAud

  • 11277CS 1110  LEC 001

  • Pre-enrollment limited to 143 seats in each of the two lectures, for freshmen only. The anticipated remaining 144 seats (plus any not taken by pre-enroll) will become available to all undergraduates during add/drop. Discussion sections 201, 202, 205, 214 are only for students with no previous programming experience, although such students are welcome in all sections.

  • 11278CS 1110  LEC 002

  • Pre-enrollment limited to 143 seats in each of the two lectures, for freshmen only. The anticipated remaining 144 seats (plus any not taken by pre-enroll) will become available to all undergraduates during add/drop. Discussion sections 201, 202, 205, 214 are only for students with no previous programming experience, although such students are welcome in all sections.

CS 1112

Programming and problem solving using MATLAB. Emphasizes the systematic development of algorithms and programs. Topics include iteration, functions, arrays, recursion, object-oriented programming, and ... view course details

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    Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  • 11267CS 1112  LEC 001

  • You may opt to enroll in a 1-credit Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. AEWs are facilitated by upper-level engineering students. They are graded S/U based on attendance. In order to attend an AEW, you must enroll in an AEW section, listed under course number ENGRG 1012. If you would like to enroll in an AEW for this course, but available sections do not fit your schedule or are full, please use this link to indicate your interest and availability: https://cornell.qualtrics.com/SE/?SID=SV_8IWsom8SLBWl2pT

  • 11268CS 1112  LEC 002

  • You may opt to enroll in a 1-credit Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. AEWs are facilitated by upper-level engineering students. They are graded S/U based on attendance. In order to attend an AEW, you must enroll in an AEW section, listed under course number ENGRG 1012.

CS 1132

Introduction to the MATLAB programming language. Covers the basic programming constructs of MATLAB, including assignment, conditionals, iteration, functions, arrays, vectorized computation, and scientific ... view course details

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  • 1 Credit Sat/Unsat

  • 11266CS 1132  LEC 001

    • TBA
    • Fan, K

  • 10-week auto-tutorial course. No required weekly meetings. In January 2016, see www.cs.cornell.edu/courses/cs1132/ for the time and location of the one-time informational meeting. Last day to add: 2/9/17.

CS 1133

Introduction to the Python programming language. Covers the basic programming constructs of Python, including assignment, conditionals, iteration, functions, object-oriented design, arrays, and vectorized ... view course details

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    Seven Week - First. 

  • 1 Credit Sat/Unsat

  • 17074CS 1133  LEC 001

  • 6 week lecture based course. Last day to add 2/3/17. Last day to drop 3/3/17.

CS 1142

Introduction to elementary computer programming concepts using MATLAB. Topics include problem analysis, development of algorithms, selection, iteration, functions, and arrays. Examples and assignments ... view course details

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    Seven Week - First.  Choose one lecture and one discussion.

  • 2 Credits Stdnt Opt

  • 12122CS 1142  LEC 001

  • 7-week course, co-meets with CS 1112 in weeks 1-7.

CS 1710

This course provides an introduction to the science of the mind.  Most people have privileged access to one mind, yet this internal experience is often misleading and provides little insight into how minds ... view course details

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CS 1998

No description available. view course details

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  • Enrollment Information
    Seven Week - Second. 

  • 1-3 Credits Sat/Unsat

CS 2043

UNIX and UNIX-like systems are increasingly being used on personal computers, mobile phones, web servers, and many other systems. They represent a wonderful family of programming environments useful both ... view course details

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    Seven Week - First. 

  • 2 Credits Sat/Unsat

CS 2049

The course covers intermediate topics in iOS development with a hands-on approach. In each lecture students develop an application along with the lecturer. Covered topic include AVFoundation (audio and ... view course details

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    Seven Week - First. 

  • 1 Credit Sat/Unsat

CS 2110

Intermediate programming in a high-level language and introduction to computer science. Topics include program structure and organization, object-oriented programming (classes, objects, types, sub-typing), ... view course details

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    Choose one lecture and one discussion. Combined with: ENGRD 2110

  • 3 Credits Stdnt Opt

  • 11140CS 2110  LEC 001

  • You may opt to enroll in a 1-credit Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. AEWs are facilitated by upper-level engineering students. They are graded S/U based on attendance. In order to attend an AEW, you must enroll in an AEW section, listed under course number ENGRG 1011. If you would like to enroll in an AEW for this course, but available sections do not fit your schedule or are full, please use this link to indicate your interest and availability: https://cornell.qualtrics.com/SE/?SID=SV_8IWsom8SLBWl2pT

  • 11141CS 2110  DIS 201

  • You may opt to enroll in a 1-credit Academic Excellence Workshop (AEW) to be taken in conjunction with this course. AEWs are weekly collaborative problem-solving workshops designed to enhance student understanding of course material. AEWs are facilitated by upper-level engineering students. They are graded S/U based on attendance. In order to attend an AEW, you must enroll in an AEW section, listed under course number ENGRG 1011. If you would like to enroll in an AEW for this course, but available sections do not fit your schedule or are full, please use this link to indicate your interest and availability: https://cornell.qualtrics.com/SE/?SID=SV_8IWsom8SLBWl2pT

CS 2111

Meets weekly for one hour, in collaboration with CS 2110. Designed to enhance understanding of object-oriented programming, use of the application for writing Java programs, and other programming issues, ... view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 2300

Web programming requires the cooperation of two machines: the one in front of the viewer (client) and the one delivering the content (server). INFO 1300 concentrates almost exclusively on the client side. ... view course details

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    Choose one lecture and one discussion. Combined with: INFO 2300NBA 5301

  • 3 Credits Stdnt Opt

  • 10979CS 2300  LEC 001

  • Priority will be given to Information Science majors and pre-majors.

CS 2770

Balancing environmental, economic, and societal needs for a sustainable future encompasses problems of unprecedented size and complexity. Computing and information science can play an important role in ... view course details

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    Combined with: AEM 2770INFO 2770

  • 3 Credits Stdnt Opt

  • 12359CS 2770  LEC 001

  • Prerequisites:Students are expected to have basic knowledge of probability theory and calculus.

CS 2800

Covers the mathematics that underlies most of computer science. Topics include mathematical induction; logical proof; propositional and predicate calculus; combinatorics and discrete mathematics; some ... view course details

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  • 3 Credits Stdnt Opt

CS 3110

Advanced programming course that emphasizes functional programming techniques and data structures. Programming topics include recursive and higher-order procedures, models of programming language evaluation ... view course details

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  • Enrollment Information
    Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

CS 3152

A project-based course in which programmers and designers collaborate to make a computer game. This course investigates the theory and practice of developing computer games from a blend of technical, aesthetic, ... view course details

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  • Enrollment Information
    Choose one lecture and one discussion. Combined with: INFO 3152

  • 4 Credits Stdnt Opt

  • 12149CS 3152  LEC 001

  • Admittance to CS/INFO 3152 is by instructor permission only. Students who would like to obtain permission must submit an application. The application is available online at http://gdiac.cs.cornell.edu/courses/application Must be taken concurrently with ENGRC 3152.

CS 3300

This course will introduce students to working with data in the context of modern web applications. These include data representation with relational and non-relational databases, data mining to find patterns ... view course details

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    Combined with: INFO 3300INFO 5100

  • 3 Credits Opt NoAud

  • 12002CS 3300  LEC 001

  • Enrollment limited to undergraduate students.

CS 3410

Introduction to computer organization, systems programming and the hardware/ software interface. Topics include instruction sets, computer arithmetic, datapath design, data formats, addressing modes, memory ... view course details

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    Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

CS 3420

An introduction to the design of embedded systems, with an emphasis on understanding the interaction between hardware, software, and the physical world. Topics covered include assembly language programming, ... view course details

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    Choose one lecture and one discussion. Combined with: ECE 3140

  • 4 Credits Graded

CS 3758

Creating robots capable of performing complex tasks autonomously requires one to address a variety of different challenges such as sensing, perception, control, planning, mechanical design, and interaction ... view course details

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    Choose one lecture and one laboratory. Combined with: MAE 4180MAE 5180

  • 3 Credits Graded

CS 4090

Earn course credit for working as a consultant or ugrad TA in a computer science course. view course details

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  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 13119CS 4090  IND 601

    • TBA
    • Kozen, D

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 13120CS 4090  IND 602

    • TBA
    • Danescu-Niculescu-Mizil, C

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12425CS 4090  IND 603

    • TBA
    • Bala, K

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11638CS 4090  IND 609

    • TBA
    • Fan, K

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11639CS 4090  IND 610

    • TBA
    • Saxena, A

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12081CS 4090  IND 615

    • TBA
    • Hopcroft, J

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11640CS 4090  IND 617

    • TBA
    • Joachims, T

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12144CS 4090  IND 621

    • TBA
    • Lee, L

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12145CS 4090  IND 622

    • TBA
    • Marschner, S

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11756CS 4090  IND 623

    • TBA
    • Myers, A

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11641CS 4090  IND 630

    • TBA
    • Kleinberg, R

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12692CS 4090  IND 632

    • TBA
    • Tardos, E

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12693CS 4090  IND 634

    • TBA
    • Van Loan, C

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11642CS 4090  IND 641

    • TBA
    • Weatherspoon, H

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11649CS 4090  IND 642

    • TBA
    • White, W

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 11757CS 4090  IND 643

    • TBA
    • Foster, J

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12074CS 4090  IND 644

    • TBA
    • Kot, L

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12456CS 4090  IND 645

    • TBA
    • Steurer, D

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12268CS 4090  IND 647

    • TBA
    • Gries, D

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12694CS 4090  IND 648

    • TBA
    • Clarkson, M

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12544CS 4090  IND 649

    • TBA
    • George, M

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12743CS 4090  IND 650

    • TBA
    • Mimno, D

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 12859CS 4090  IND 601A

    • TBA
    • Park, J

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

  • 13148CS 4090  IND 601B

    • TBA
    • Bracy, A

  • Enrollment Information

  • 1-4 Credits Sat/Unsat

CS 4152

Project-based follow-up course to CS 3152. Students work in a multidisciplinary team to develop a game that incorporates innovative game technology. Advanced topics include 3D game development, mobile ... view course details

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    Choose one lecture and one discussion. Combined with: INFO 4152

  • 3 Credits Stdnt Opt

  • 12152CS 4152  LEC 001

  • Admittance to CS/INFO 4152 is by instructor permission only. Students who would like to obtain permission must submit an application. The application is available online at http://gdiac.cs.cornell.edu/courses/application Must be taken concurrently with ENGRC 4152.

CS 4220

Introduction to the fundamentals of numerical linear algebra: direct and iterative methods for linear systems, eigenvalue problems, singular value decomposition. In the second half of the course, the above ... view course details

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    Combined with: MATH 4260

  • 4 Credits Stdnt Opt

CS 4300

How to make sense of the vast amounts of information available online, and how to relate it and to the social context in which it appears? This course introduces basic tools for retrieving and analyzing ... view course details

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    Combined with: INFO 4300

  • 3 Credits Graded

CS 4320

Introduction to modern database and data storage systems. Concepts covered include data models, query languages, database designs, storage structures, access methods, query processing and optimization, ... view course details

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    Combined with: CS 5320

  • 3 Credits Stdnt Opt

CS 4321

Students build part of a database system in Java. view course details

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    Combined with: CS 5321

  • 2 Credits Stdnt Opt

CS 4410

Introduction to the design of systems programs, with emphasis on multiprogrammed operating systems. Topics include concurrency, synchronization, deadlocks, memory management, protection, input-output methods, ... view course details

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  • 3 Credits GradeNoAud

CS 4411

Studies the practical aspects of operating systems through the design and implementation of an operating system kernel that supports multiprogramming, virtual memory, and various input-output devices. ... view course details

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  • 2 Credits GradeNoAud

  • 12904CS 4411  LEC 001

  • Enrollment open only to students who have taken or are currently enrolled in CS 4410.

CS 4620

Introduction to the principles of computer graphics in two and three dimensions. Topics include digital images, filtering and antialiasing, 2-D and 3-D affine geometry, ray tracing, perspective and 3-D ... view course details

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    Combined with: CS 5620

  • 3 Credits Stdnt Opt

CS 4621

Provides CS 4620 students with hands-on experience in computer graphics programming on modern graphics hardware. A semester-long project involves building a substantial interactive 3D system. The course ... view course details

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    Combined with: CS 5621

  • 2 Credits Graded

CS 4700

Challenging introduction to the major subareas and current research directions in artificial intelligence. Topics include knowledge representation, heuristic search, problem solving, natural-language ... view course details

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  • 3 Credits Stdnt Opt

CS 4701

Project portion of CS 4700. Topics include knowledge representation systems, search procedures, game-playing, automated reasoning, concept learning, reinforcement learning, neural nets, genetics algorithms, ... view course details

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  • 2 Credits Stdnt Opt

  • 17139CS 4701  LEC 001

    • TBA
    • Hirsh, H

  • Students should not enroll in CS 4701 without having successfully completed CS 4700 or have concurrent enrollment in CS 4700.

CS 4732

We will consider social and ethical issues in AI, including some subset the following: potential job losses in AI; the ethics of computer making decisions on our behalf (perhaps using machine learning)' ... view course details

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    Seven Week - Second.  Choose one lecture and one discussion.

  • 2 Credits Sat/Unsat

  • 18050CS 4732  DIS 201

    • MOlin Hall 216
    • Feb 20 - Apr 21, 2017
    • Halpern, J

      Selman, B

CS 4744

In this course students use grammars to analyze word structure, sentence structure and meanings. Applying functional programming techniques, participants concretize many familiar ideas from linguistics ... view course details

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    Combined with: COGST 4240LING 4424

  • 4 Credits Graded

  • 15965CS 4744  LEC 001

  • Prerequisites: LING 1101 or equivalent background in linguistics and CS 2110 or equivalent preparation in computer science.

CS 4754

This course provides an introduction into the design of and research on human robot interaction. Students will be working alone and in teams on designing and examining novel ways for robots to interact ... view course details

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    Combined with: INFO 4410INFO 6420

  • 3 Credits Graded

  • 12878CS 4754  LEC 001

  • Students are required to fill out an application form at: https://goo.gl/forms/52eWd1zSlhZQmYeQ2. Pre- or co-requisite: INFO 4320 or permission of instructor. Students will be responsible for the purchase of materials. Applications will be reviewed during regular enrollment period when most applications are in to give people a fair chance for a spot based on their application rather than on the order of signup. We'll hand out PINS then.

CS 4780

An introduction to machine learning for intelligent systems (e.g. search engines, recommender systems, ad placement). Topics include supervised learning, statistical learning theory, and online ... view course details

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    Combined with: CS 5780

  • 4 Credits Stdnt Opt

CS 4820

Develops techniques used in the design and analysis of algorithms, with an emphasis on problems arising in computing applications. Example applications are drawn from systems and networks, artificial ... view course details

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  • 4 Credits Stdnt Opt

CS 4830

Introductory course in cryptography. Topics include one-way functions, encryption, digital signatures, pseudo-random number generation, zero-knowledge and basic protocols. Emphasizes fundamental notions ... view course details

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    Combined with: CS 5830

  • 3 Credits Graded

CS 4850

Covers the mathematical foundations for access to information. Topics include high dimensional space, random graphs, singular value decomposition, Markov processes, learning theory, and algorithms for ... view course details

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  • Enrollment Information

  • 4 Credits Stdnt Opt

CS 4990

No description available. view course details

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  • 12 Credits S/U NoAud

  • 17913CS 4990  RSC 701

    • TBA
    • Weinberger, K

  • Enrollment Information

  • 6-12 Credits Opt NoAud

  • Enrollment Information

  • 6-12 Credits Opt NoAud

  • 18195CS 4990  RSC 703

    • TBA
    • Juels, A

CS 4998

Advanced independent work in computer science as part of a student-led team project.  view course details

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  • 1-4 Credits Graded

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CS 4999

Independent reading and research for undergraduates. view course details

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  • 1-4 Credits Stdnt Opt

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CS 5091

This course features a weekly guest practitioner for a provocative, closed-door discussion with students. The guest practitioners are active entrepreneurs, intrapreneurs, social entrepreneurs, engineers, ... view course details

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  • 0.5 Credits Sat/Unsat

  • 12267CS 5091  SEM 131

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5093

This studio based course helps students learn about and develop product management (PM) skills by putting those skills immediately to use in the context of their Startup Studio projects. view course details

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  • Enrollment Information

  • 1 Credit Graded

  • 12683CS 5093  SEM 101

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5094

Viewed variously as a niche currency for online criminals and a technological threat to the financial industry, Bitcoin has fueled mythmaking, financial speculation, and real technological innovation. ... view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

  • 17916CS 5094  SEM 101

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5150

Introduction to the practical problems of specifying, designing, and building large, reliable software systems. Students work in teams on projects for real clients. This work includes a feasibility study, ... view course details

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    Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

CS 5152

Students will collaborate with mentors from industry to learn how to become a part of the open-source community and contribute to open-source projects, with students actively committing to open-source ... view course details

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    Choose one lecture and one laboratory.

  • 4 Credits Stdnt Opt

CS 5153

Digital and physical games designed to address social and political issues are sometime called 'Serious Games' or 'Games for Change' or 'Newsgames' and they address a broad range of issues and domains, ... view course details

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    Combined with: INFO 5335

  • 3 Credits Stdnt Opt

  • 18289CS 5153  LEC 030

  • Enrollment limited to: Cornell Tech students. Taught at Cornell Tech in NYC.

CS 5304

Massive amounts of data are collected by many companies and organizations and the task of a data scientist is to extract actionable knowledge from the data – for scientific needs, to improve public health, ... view course details

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    Combined with: INFO 5304

  • 3 Credits Graded

  • 12817CS 5304  LEC 030

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5320

Introduction to modern database and data storage systems. Concepts covered include data models, query languages, database design, storage structures, access methods, query processing and optimization, ... view course details

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    Combined with: CS 4320

  • 3 Credits Stdnt Opt

CS 5321

Students build part of a real database system in C++. view course details

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    Combined with: CS 4321

  • 2 Credits Stdnt Opt

CS 5413

This course broadly examines high performance systems and networks. It especially covers systems and networks built from low cost commodity components like modern datacenters that provide platforms for ... view course details

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  • 4 Credits Graded

CS 5430

Discusses security and survivability for computers and communications networks. Includes discussions of policy issues (e.g., the national debates on cryptography policy) as well as discussions of the technical ... view course details

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  • 4 Credits Stdnt Opt

CS 5431

Explores the design and construction of secure computing systems, including secure coding and the use of software analysis tools. Course involves the construction of a significant project group ... view course details

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  • 2 Credits Graded

  • 13043CS 5431  LEC 001

  • For students who are co-registered in CS 5430. Co-meets w/ CS 5430. Students who want to enroll in both CS 5430 and 5431 should pre-enroll in CS 5430 during the pre-enrollment period and enroll in CS 5431 in January, using a paper add/drop form. Enrollment open to CIS students only. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.

CS 5436

This course introduces students to privacy technologies and surveys the current state of digital privacy from multiple perspectives, including technology, law, policy, ethics, economics, and ... view course details

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    Combined with: INFO 5303

  • 3 Credits Graded

  • 17871CS 5436  LEC 001

    • TRCornell Tech
    • Nissenbaum, H

      Shmatikov, V

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5450

Appropriate for advanced students who have no or limited networking knowledge. Note that there is project work in C or C++, so students should either know it or be prepared to learn it. Focuses on architectural ... view course details

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  • 3 Credits Graded

  • 17712CS 5450  LEC 030

    • MWCornell Tech
    • Estrin, D

      Shmatikov, V

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5620

Introduction to the principles of computer graphics in two and three dimensions. Topics include digital images, filtering and antialiasing, 2-D and 3-D affine geometry, ray tracing, perspective and 3-D ... view course details

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    Combined with: CS 4620

  • 3 Credits Stdnt Opt

CS 5621

Provides CS 4620 students with hands-on experience in computer graphics programming on modern graphics hardware. A semester-long project involves building a substantial interactive 3D system. The course ... view course details

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    Combined with: CS 4621

  • 2 Credits Graded

CS 5670

An in-depth introduction to computer vision. The goal of computer vision is to compute properties of our world-the 3D shape of an environment, the motion of objects, the names of people or things-through ... view course details

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  • 3 Credits Graded

  • 17709CS 5670  LEC 030

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5682

Human-Computer Interaction (HCI) and design theory and techniques. Methods for designing, prototyping, and evaluating user interfaces to computing applications. Basics of visual design, graphic design, ... view course details

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    Combined with: INFO 6410

  • 3 Credits Graded

  • 12677CS 5682  LEC 001

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5740

This course constitutes an introduction to natural language processing (NLP), the goal of which is to enable computers to use human languages as input, output, or both. NLP is at the heart of many of today's ... view course details

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  • 3 Credits Stdnt Opt

  • 13063CS 5740  LEC 031

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5780

An introduction to machine learning for intelligent systems (e.g. search engines, recommender systems, ad placement). Topics include supervised learning, statistical learning theory, and online learning. ... view course details

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    Combined with: CS 4780

  • 4 Credits Stdnt Opt

CS 5785

Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments ... view course details

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  • Enrollment Information

  • 3 Credits Graded

  • 17710CS 5785  LEC 030

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5830

Introductory course in Cryptography. Topics include one-way functions, encryption, digital signatures, pseudo-random number generation, zero-knowledge and basic protocols. The emphasis will be on fundamental ... view course details

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    Combined with: CS 4830

  • 3 Credits Stdnt Opt

  • Enrollment Information

  • 3 Credits Stdnt Opt

  • 13020CS 5830  LEC 031

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 5846

Research on decision theory resides in a variety of disciplines including computer science, economics, game theory, philosophy, and psychology. This course attempts to integrate these various approaches. ... view course details

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    Combined with: ECON 3810ECON 6760

  • 4 Credits Graded

CS 5998

Off-campus internship with industry in which a student gains knowledge and experience in the field of computer science. view course details

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  • 1 Credit Sat/Unsat

CS 5999

Independent or group project under the direction of a CS field member or researcher. Projects involve the development of a computer science application (software or hardware) useful in exploring and/or ... view course details

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  • 1-6 Credits Graded

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  • 12658CS 5999  IND 601T

  • Taught in NYC. Enrollment limited to: Cornell Tech students. Startup Studio.

CS 6110

Study of programming paradigms: functional, imperative, concurrent, and probabilistic programming. Mathematical foundations: inductive definitions, fixed points, and formal semantics. Models of programming ... view course details

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    Combined with: CS 6110

  • 4 Credits Stdnt Opt

  • Enrollment Information
    Combined with: CS 6110

  • 4 Credits Stdnt Opt

  • 13129CS 6110  LEC 031

  • Taught in NYC. Offered via distance learning from Ithaca campus.

CS 6453

Introduces the critical technology trends, the state-of-the-art systems, and the key challenges that make the big data research exciting, both from academic and industrial perspectives. view course details

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  • 4 Credits Graded

  • 17891CS 6453  LEC 001

  • You may add this course via PIN number or add/drop form during add/drop in January.

CS 6700

Covers a variety of areas in AI, including knowledge representation, automated reasoning, learning, game-playing, and planning, with an emphasis on computational issues. view course details

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  • 4 Credits Stdnt Opt

CS 6740

Graduate-level introduction to technologies for the computational treatment of information in human-language form, covering modern natural-language processing (NLP) and/or information retrieval (IR). Possible ... view course details

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  • Enrollment Information
    Combined with: INFO 6300

  • 3 Credits Stdnt Opt

CS 6751

Mobile manipulation is the ability for a robot to interact physically with versatility in the world. As robots become integrated into complex human environments, mobile manipulation is increasingly necessary. ... view course details

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  • Enrollment Information
    Combined with: MAE 6730

  • 4 Credits Graded

CS 6810

Advanced treatment of theory of computation, computational-complexity theory, and other topics in computing theory. view course details

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  • 4 Credits Stdnt Opt

CS 6830

Graduate introduction to cryptography. Topics include encryption, digital signatures, pseudo-random number generation, zeroknowledge, and basic protocols. Emphasizes fundamental concepts and ... view course details

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  • Enrollment Information
    Combined with: CS 6830

  • 4 Credits Graded

  • Enrollment Information
    Combined with: CS 6830

  • 4 Credits Graded

  • 13051CS 6830  LEC 031

  • Taught in NYC. Enrollment limited to: PhD students at Cornell Tech.

CS 6840

Algorithmic Game Theory combines algorithmic thinking with game-theoretic, or more generally, economic concepts. Designing and analyzing large-scale multi-user systems and as well as such markets, requires ... view course details

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  • Enrollment Information

  • 4 Credits Graded

CS 6850

Information networks such as the World Wide Web are characterized by the interplay between heterogeneous content and a complex underlying link structure. This course covers recent research on algorithms ... view course details

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    Combined with: INFO 6850

  • 4 Credits Stdnt Opt

CS 7090

Weekly meeting for the discussion and study of important topics in the field. view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 7190

The Programming Languages Discussion Group meets weekly to discuss papers in the area of programming languages, program analysis, and compilers. The goal is to encourage interactions and discussions between ... view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 7290

Talks on various methods in scientific computing, the analysis of their convergence properties and computational efficiency, and their adaptation to specific applications. view course details

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    Combined with: MATH 7290

  • 1 Credit Sat/Unsat

CS 7490

The Systems Research Seminar discusses recent, interesting papers in the systems area, broadly defined to span operating systems, distributed systems, networking, architecture, databases, security, and ... view course details

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  • 1 Credit Sat/Unsat

CS 7493

This is a graduate seminar primarily aimed at Ph.D. students. Students will read, present, and discuss recent and classic papers in the computer security area. Outside speakers will also be invited to ... view course details

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  • 1 Credit Sat/Unsat

CS 7690

The Graphics/Vision Research Seminar discusses recent research in the areas of computer graphics and computer vision. The goal is to foster technical discussions and collaboration among the Cornell graphics ... view course details

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  • 1 Credit Sat/Unsat

CS 7790

The AI seminar will meet weekly for lectures by graduate students, faculty, and researchers emphasizing work-in-progress and recent results in AI research. view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 7792

Reading group on advanced topics in machine learning. view course details

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  • Enrollment Information
    Combined with: CS 7792

  • 1 Credit Sat/Unsat

  • Enrollment Information
    Combined with: CS 7792

  • 1 Credit Sat/Unsat

  • 18286CS 7792  SEM 131

  • Enrollment limited to: PhD students at Cornell Tech; offered in NYC.

CS 7794

CS 7794, the NLP seminar, is a weekly meeting for people currently or soon to be actively doing research in NLP. (Students simply looking to learn more about NLP should not enroll, but should take one ... view course details

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  • 1 Credit Sat/Unsat

CS 7796

Informal seminar in which current topics in robotics are discussed. view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 7890

No description available. view course details

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  • Enrollment Information

  • 1 Credit Sat/Unsat

CS 7893

Seminar for discussing recent or classical papers in cryptography. view course details

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  • Enrollment Information
    Combined with: CS 7893

  • 1 Credit Sat/Unsat

  • Enrollment Information
    Combined with: CS 7893

  • 1 Credit Sat/Unsat

  • 12846CS 7893  SEM 131

  • Taught in NYC. Enrollment limited to: PhD students at Cornell Tech.

CS 7999

Independent research for CS PhD students who have not yet passed their A-exam. view course details

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  • Enrollment Information

  • 1-15 Credits Stdnt Opt

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  • 12871CS 7999  IND 601T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 12872CS 7999  IND 602T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 12811CS 7999  IND 603T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 12882CS 7999  IND 604T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 12883CS 7999  IND 605T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 12889CS 7999  IND 606T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 13160CS 7999  IND 607T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 13169CS 7999  IND 608T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 11221CS 7999  IND 616T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 11228CS 7999  IND 625T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

  • Enrollment Information

  • 1-15 Credits Stdnt Opt

  • 11236CS 7999  IND 635T

  • Taught in NYC. Enrollment limited to: Cornell Tech students.

CS 9999

Doctoral research. view course details

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  • Enrollment Information

  • 1-15 Credits Sat/Unsat