Computer Science (CS)Engineering
Showing 85 results.
Course descriptions provided by the Courses of Study 2020-2021.
Last Updated
- Schedule of Classes - August 7, 2020 7:14PM EDT
- Course Catalog - August 7, 2020 7:14PM EDT
Classes
CS 1110
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Additional Information
200 seats in each lecture are reserved for freshmen and sophomores during pre-enroll. Additional seats will open up during add/drop in August.
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Additional Information
200 seats in each lecture are reserved for freshmen and sophomores during pre-enroll. Additional seats will open up during add/drop in August.
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
Class Number & Section Details
Meeting Pattern
- WF
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
White, W
CS 1112
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Fan, K
CS 1133
Course Description
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
Seven Week - First.
Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Oct 20, 2020
Instructors
Frey, C
CS 1300
Course Description
The World Wide Web is both a technology and a pervasive and powerful resource in our society and culture. To build functional and effective web sites, students need technical and design skills as well ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: INFO 1300
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TR TBA To Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Harms, K
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- FCarpenter Hall 236 orange
- Sep 2 - Dec 16, 2020
Instructors
Harms, K
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Harms, K
Class Number & Section Details
Meeting Pattern
- FCarpenter Hall 236 orange
- Sep 2 - Dec 16, 2020
Instructors
Harms, K
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Harms, K
CS 1620
Course Description
For description, see ART 2907. view course details
Regular Academic Session. Combined with: ARCH 3702, ART 2907, ENGRI 1620
Credits and Grading Basis
4 Credits Graded(Letter grades only)
CS 1998
Course Description
Freshmen and Nontechnical Team Projects. view course details
Seven Week - Second.
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Oct 22 - Dec 16, 2020
Instructors
Tardos, E
Additional Information
Department Consent Required (Add)
Project Session Full.
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
White, W
Additional Information
Instructor Consent Required (Add)
Project Session Full.
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Project Session Full.
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
White, W
Additional Information
Instructor Consent Required (Add)
Project Session Full.
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
CS 2024
Course Description
An intermediate introduction to the C++ programming language and the C/C++ standard libraries. Topics include basic statements, declarations, and types; stream I/O; user-defined classes and types; derived ... view course details
Regular Academic Session.
Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
DiNapoli, R
CS 2110
Course Description
Intermediate programming in a high-level language and introduction to computer science. Topics include object-oriented programming (classes, objects, subclasses, types), graphical user interfaces, algorithm ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ENGRD 2110
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Additional Information
Engineers must register for ENGRD 2110.
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
CS 2111
Course Description
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
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Gries, D
Muhlberger, C
CS 2112
Course Description
Honors version of CS 2110/ENGRD 2110; credit is given for only one of CS 2110Â and 2112. Corrective transfer between CS 2110Â and 2112 (in either direction) is encouraged during first three weeks. Intermediate ... view course details
Regular Academic Session. Choose one lecture, one discussion, and one laboratory. Combined with: ENGRD 2112
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Myers, A
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Myers, A
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Myers, A
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Myers, A
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Myers, A
CS 2382
Course Description
Data documenting urban life is being collected at a scale unimaginable just a few years ago. And yet, the use of urban data to improve our quality of life has its roots in stemming the 1854 cholera outbreak ... view course details
Regular Academic Session. Combined with: ORIE 2380
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Xie, Q
CS 2800
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
van Zuylen, A
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- TTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- RTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
CS 2802
Course Description
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
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Halpern, J
CS 3110
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- MW
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Clarkson, M
Additional Information
Instruction Mode: Online
CS 3220
Course Description
Introduction to computational mathematics covering topics in (numerical) linear algebra, statistics, and optimization. Topics included are those of particular relevance to upper-division computer science ... view course details
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Damle, A
CS 3410
Course Description
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
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- W
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- R
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- R
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- R
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- R
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- R
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
Class Number & Section Details
Meeting Pattern
- F
- Sep 2 - Dec 16, 2020
Instructors
Bracy, A
CS 4090
Course Description
Earn course credit for working as a consultant or ugrad TA in a computer science course. view course details
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1-4 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
CS 4110
Course Description
An introduction to the theory, design, and implementation of programming languages. Topics include operational semantics, type systems, higher-order functions, scope, lambda calculus, laziness, exceptions, ... view course details
Regular Academic Session. Combined with: CS 5110
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Foster, N
Additional Information
It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4210
Course Description
Introduction to the fundamentals of numerical analysis: error analysis, approximation, interpolation, numerical integration. In the second half of the course, the above are used to build approximate solvers ... view course details
Regular Academic Session. Combined with: MATH 4250
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
CS 4320
Course Description
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
Regular Academic Session. Combined with: CS 5320
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Trummer, I
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4321
Course Description
Students build part of a database system in Java. view course details
Regular Academic Session. Combined with: CS 5321
Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Trummer, I
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4410
Course Description
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
Regular Academic Session.
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Van Renesse, R
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.
CS 4411
Course Description
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
Regular Academic Session.
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Van Renesse, R
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. Students should not enroll in CS 4411 without having successfully completed CS 4410 or have concurrent enrollment in CS 4410.
CS 4414
Course Description
CS 4414 exposes students to programming applications at the systems level and to the operating-systems abstractions that these applications depend on. Students learn to make design choices guided ... view course details
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Birman, K
Additional Information
Enrollment in this class is limited to CIS students only. All others should add themselves to the waitlist via Student Center during the Add/Drop Period.
Class Number & Section Details
Meeting Pattern
- TBA To Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Birman, K
Additional Information
Enrollment in this class is limited to CIS students only. All others should add themselves to the waitlist via Student Center during the Add/Drop Period.
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Birman, K
Additional Information
Instruction Mode: Online
Enrollment in this class is limited to CIS students only. All others should add themselves to the waitlist via Student Center during the Add/Drop Period.
CS 4420
Course Description
This course aims to provide a strong foundation for students to understand modern computer system architecture and to apply these insights and principles to future computer designs. The course is structured ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ECE 4750
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Delimitrou, C
Additional Information
NOTE: Discussion section is optional.
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Delimitrou, C
CS 4620
Course Description
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
Regular Academic Session. Combined with: CS 5620
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Davis, A
Additional Information
It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4621
Course Description
Provides CS 4620Â students with hands-on experience in computer graphics programming on modern graphics hardware. This course emphasizes effective use of graphics APIs and the architecture of ... view course details
Regular Academic Session. Combined with: CS 5621
Credits and Grading Basis
2 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Davis, A
Additional Information
This course is only for those who have taken or are currently enrolled in CS 4620.
CS 4700
Course Description
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
Regular Academic Session.
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Hirsh, H
Selman, B
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.
CS 4701
Course Description
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
Regular Academic Session.
Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA
- Sep 2 - Dec 16, 2020
Instructors
Selman, B
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. Students should not enroll in CS 4701 without having successfully completed CS 4700 or have concurrent enrollment in CS 4700.
CS 4740
Course Description
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
Regular Academic Session. Combined with: COGST 4740, CS 5740, LING 4474
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Cardie, C
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4775
Course Description
Computational methods for analyzing genetic and genomic data. Topics include sequence alignment, hidden Markov Models for discovering sequence features, motif finding using Gibbs sampling, phylogenetic ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 4840, BTRY 6840
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TR
- Sep 2 - Dec 16, 2020
Instructors
Williams, A
Additional Information
Prerequisites: BTRY 3010 and CS 2110 or equivalents.
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Williams, A
CS 4780
Course Description
The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include regularized linear models, boosting, kernels, deep networks, generative ... view course details
Regular Academic Session. Combined with: CS 5780
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Haghtalab, N
Joachims, T
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 4812
Course Description
Hardware that exploits quantum phenomena can dramatically alter the nature of computation. Though constructing a general purpose quantum computer remains a formidable technological challenge, there has ... view course details
Regular Academic Session. Combined with: PHYS 4481, PHYS 7681
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Ginsparg, P
Additional Information
Prerequisites will be verified prior to enrollment.
Department Consent Required (Add)
CS 4820
Course Description
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
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Kozen, D
Additional Information
Enrollment in this class is limited to CIS students only. All others should add themselves to the waitlist via Student Center during the Add/Drop Period. Please see http://www.cs.cornell.edu/courseinfo/enrollment for more information.
CS 4860
Course Description
Propositional and predicate logic, compactness and completeness using tableaux, natural deduction, and/or resolution. Other topics chosen from the following: Equational logic. Herbrand Universes ... view course details
Regular Academic Session. Combined with: MATH 4860
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Constable, B
CS 4997
Course Description
This independent study course offers students an opportunity to reflect on concepts from computer science as they were encountered and applied in a recent internship. Students write a short paper describing ... view course details
Project Session Full.
Credits and Grading Basis
1 Credit S/U NoAud(Satisfactory/Unsatisfactory (no audit))
CS 4998
Course Description
Advanced independent work in computer science as part of a student-led team project. view course details
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
CS 4999
Course Description
Independent reading and research for undergraduates. view course details
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
CS 5110
Course Description
An introduction to the theory, design, and implementation of programming languages. Topics include operational semantics, type systems, higher-order functions, scope, lambda calculus, laziness, exceptions, ... view course details
Regular Academic Session. Combined with: CS 4110
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Foster, N
Additional Information
It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5112
Course Description
Fundamental algorithms and data structures used in current applications. Algorithms include graph algorithms, hashing and streaming/sketching techniques. Applications will include selected topics in computer ... view course details
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Zabih, R
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
CS 5220
Course Description
Models for parallel programming and survey of parallel machines. Existing parallel programming languages, vectorizing compilers, and parallel libraries and toolboxes. view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Bindel, D
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates
CS 5304
Course Description
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
Regular Academic Session. Combined with: INFO 5304
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Nandakumar, R
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students.
CS 5320
Course Description
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
Regular Academic Session. Combined with: CS 4320
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Trummer, I
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5321
Course Description
Students build part of a real database system in C++ Java. view course details
Regular Academic Session. Combined with: CS 4321
Credits and Grading Basis
2 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- WTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Trummer, I
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5414
Course Description
Studies the abstractions and algorithms that constitute the foundations for implementing concurrent and distributed computing, with emphasis on supporting fault-tolerance. Topics vary to reflect advances ... view course details
Regular Academic Session. Choose one lecture and one discussion.
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Alvisi, L
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates
Class Number & Section Details
Meeting Pattern
- FTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Alvisi, L
CS 5420
Course Description
This course discusses advanced topics in computer architecture beyond the material that is covered in undergraduate courses such as ECE 4750/CS 4420. In particular, the course places special focus on multicore ... view course details
Regular Academic Session. Combined with: ECE 5750
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Martinez, J
CS 5424
Course Description
This course provides an introduction to the human-centered and technical workings behind interactive devices ranging from cell phones and video controllers to household appliances and smart cars. This ... view course details
Regular Academic Session. Combined with: ECE 5413, INFO 5345
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Ju, W
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech MEng ECE students.Department Consent Required (Add)
CS 5430
Course Description
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
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Schneider, F
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during Add/Drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. Friday meetings to be arranged.
CS 5435
Course Description
This course will impart a technical and social understanding of how and why security and privacy matter, how to think adversarially, how (and how not) to design systems and products. Less attention will ... view course details
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Shmatikov, V
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
CS 5620
Course Description
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
Regular Academic Session. Combined with: CS 4620
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Davis, A
Additional Information
It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5621
Course Description
Provides CS 4620Â students with hands-on experience in computer graphics programming on modern graphics hardware. This course emphasizes effective use of graphics APIs and the architecture of ... view course details
Regular Academic Session. Combined with: CS 4621
Credits and Grading Basis
2 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Davis, A
Additional Information
This course is only for those who have taken or are currently enrolled in CS 5620.
CS 5650
Course Description
This course presents an introduction to virtual and augmented reality technologies, with an emphasis on designing and developing interactive virtual and augmented reality experiences. The course will cover ... view course details
Regular Academic Session. Combined with: INFO 5340
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Haraldsson, H
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students. Prerequisite: Intermediate programming ability in C# or Java and familiarity with the Unity 3D game engine or strong desire to learn
CS 5682
Course Description
Human-Computer Interaction (HCI) and design theory and techniques. Methods for designing, prototyping, and evaluating user interfaces. Basics of visual design, graphic design, and interaction ... view course details
Regular Academic Session. Combined with: INFO 6410
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Dell, N
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
CS 5727
Course Description
This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, ... view course details
Regular Academic Session. Combined with: ORIE 5380
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Henderson, S
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students.
CS 5740
Course Description
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
Regular Academic Session. Combined with: COGST 4740, CS 4740, LING 4474
Credits and Grading Basis
3-4 Credits Opt NoAud(Letter or S/U grades (no audit))
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Cardie, C
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5780
Course Description
The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include regularized linear models, boosting, kernels, deep networks, generative ... view course details
Regular Academic Session. Combined with: CS 4780
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Haghtalab, N
Joachims, T
Additional Information
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
CS 5781
Course Description
Machine learning systems are increasingly being deployed in production environments, from cloud servers to mobile devices. This course will focus on challenges inherent to engineering machine learning ... view course details
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Rush, A
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students.
CS 5785
Course Description
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
Regular Academic Session. Combined with: ECE 5414, ORIE 5750
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Kuleshov, V
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
CS 5854
Course Description
The course examines how the computing, economic and sociological worlds are connected and how these connections affects these worlds. Tools from computer science, game theory and mathematics are introduced ... view course details
Regular Academic Session. Combined with: ORIE 5138
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Pass, R
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech Students Only.
CS 5998
Course Description
Off-campus internship with industry in which a student gains knowledge and experience in the field of computer science. view course details
CS 5999
Course Description
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
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
Project Session Full.
Credits and Grading Basis
1-6 Credits Graded(Letter grades only)
CS 6120
Course Description
This is a hands-on course about implementing programming languages. It covers intermediate representations, classic optimization, runtime systems, and more advanced techniques such as parallelization, ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Sampson, A
Additional Information
Restricted to PhD and MS students only. All others should add themselves to the waitlist during add/drop. Please see http://www.cs.cornell.edu/courseinfo/enrollment for more information.
CS 6156
Course Description
Runtime Verification (RV) is a lightweight formal method for checking program executions against specifications. Foundations, algorithms, and tools for major approaches to RV will be covered, including ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Legunsen, O
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
CS 6210
Course Description
Stable and efficient algorithms for linear equations, least squares, and eigenvalue problems. Direct and iterative methods are considered. Numerical programming is used extensively. view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Benson, A
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
CS 6741
Course Description
Robust language understanding has the potential to transform how we interact with computers, extract information from text and study language on large scale. This research-oriented course examines machine ... view course details
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWBill and Melinda Gates Hll G15
Ithaca, NY (Main Campus) - Aug 27 - Dec 8, 2020
Instructors
Artzi, Y
- MWBill and Melinda Gates Hll G15
Additional Information
Instruction Mode: Online
Class will be streamed from NYCTech. Enrollment limited to CIS PhD and CS MS students only.
Regular Academic Session.
Credits and Grading Basis
3 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Artzi, Y
- MWTo Be Assigned
Additional Information
Instruction Mode: Online
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech PhD Students.
CS 6787
Course Description
Graduate-level introduction to system-focused aspects of machine learning, covering guiding principles and commonly used techniques for scaling up to large data sets. Topics will include stochastic gradient ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
De Sa, C
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
CS 6789
Course Description
State-of-art intelligent systems often need the ability to make sequential decisions in an unknown, uncertain, possibly hostile environment, by actively interacting with the environment to collect relevant ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Sun, W
Additional Information
Enrollment limited to CIS PhD and CS MS students only.
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRBloomberg Center 497
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Staff
- TRBloomberg Center 497
Additional Information
Instruction Mode: Online
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech PhD students. Streamed from Ithaca to Cornell Tech.
CS 6817
Course Description
This course will focus on the 'Analysis of Boolean Functions' with the objective to unravel properties of Boolean functions by studying their Fourier spectra. The harmonic analysis of Boolean functions ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Graded(Letter grades only)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Chattopadhyay, E
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
CS 6820
Course Description
Methodology for developing and analyzing efficient algorithms. Understanding the inherent complexity of natural problems via polynomial-time algorithms, advanced data structures, randomized algorithms, ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Kleinberg, R
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- MWFBloomberg Center 398
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Kleinberg, R
- MWFBloomberg Center 398
Additional Information
Instruction Mode: Online
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech PhD students. Class will be streamed from Ithaca.
CS 6830
Course Description
A rigorous introduction to the theoretical foundations of the cryptography that powers much of the modern world. As this is a theoretical class, the emphasis will be on formal definitions and proofs. E.g., ... view course details
Regular Academic Session.
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Stephens-Davidowitz, N
Additional Information
Enrollment is restricted to grad students only. Undergraduates will need to add themselves to the waitlist during add/drop.
CS 7090
Course Description
Weekly meeting for the discussion and study of important topics in the field. view course details
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- TRTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Staff
CS 7190
Course Description
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
CS 7290
Course Description
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
Regular Academic Session. Combined with: MATH 7290
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
CS 7390
Course Description
The database seminar is the weekly meeting of students and faculty interested in data management and data mining at Cornell. We typically discuss one or two papers on related topics per session. We focus ... view course details
CS 7450
Course Description
This seminar will cover the classical topics in Internet and datacenter network design, e.g., routing, congestion control, network hardware, network software, and networked applications, with a particular ... view course details
CS 7490
Course Description
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
CS 7493
Course Description
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
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- WBloomberg Center 497
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Myers, A
- WBloomberg Center 497
Additional Information
Instruction Mode: Online
Taught in NYC at Cornell Tech. Enrollment limited to PhD Cornell Tech Students. Class will be streamed from Ithaca.
CS 7620
Course Description
An advanced PhD-level seminar on special topics in Computer Graphics. Recent papers in a selected research area will be read and presented. Topics for Fall 2020 include rendering, inverse rendering, surface ... view course details
CS 7690
Course Description
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
CS 7790
Course Description
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
CS 7794
Course Description
This course, 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 ... view course details
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Regular Academic Session.
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- FBloomberg Center 497
Cornell Tech - Aug 27 - Dec 8, 2020
Instructors
Artzi, Y
Cardie, C
Lee, L
- FBloomberg Center 497
Additional Information
Instruction Mode: Online
Taught in NYC at Cornell Tech. Enrollment Limited to Cornell Tech PhD Students.
CS 7850
Course Description
This is a seminar focusing on models for networks and for some of the fundamental processes that take place within them. Topics will include the small-world phenomenon, decentralized search, contagion, ... view course details
Regular Academic Session.
Credits and Grading Basis
2 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
Class Number & Section Details
Meeting Pattern
- MWFTo Be Assigned
- Sep 2 - Dec 16, 2020
Instructors
Kleinberg, J
CS 7890
Course Description
The theory seminar will meet weekly for lectures by graduate students, faculty, and researchers emphasizing work-in-progress and recent results related to theory of computing. view course details
CS 7999
Course Description
Independent research for CS PhD students who have not yet passed their A-exam. view course details
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TBA Cornell Tech
- Aug 27 - Dec 8, 2020
Instructors
Huttenlocher, D
Additional Information
Taught in NYC at Cornell Tech. Enrollment limited to Cornell Tech students.
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
Credits and Grading Basis
1-15 Credits Stdnt Opt(Letter or S/U grades)