CS 6740
Last Updated
- Schedule of Classes - April 4, 2023 12:09PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
CS 6740
Course Description
Course information provided by the Courses of Study 2022-2023.
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 topics include language modeling, word embeddings, text categorization and clustering, information extraction, computational syntactic and semantic formalisms, grammar induction, machine translation, latent semantic analysis (LSI), and clickthrough data for web search.
When Offered Spring.
Permission Note Enrollment limited to: Ph.D. and MS students.
Prerequisites/Corequisites Prerequisite: CS 2110 or equivalent, a course in artificial intelligence or any relevant subfield (e.g., NLP, information retrieval, machine learning, Cornell CS courses numbered 47xx or 67xx). Proficiency with using machine learning tools (e.g., fluency at training an SVM, comfort with assessing a classifier's performance using cross-validation).
Regular Academic Session. Combined with: INFO 6300
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
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Meeting Pattern
- MW Upson Hall 222
- Jan 23 - May 9, 2023
Instructors
Lee, L
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Additional Information
Instruction Mode: In Person
Restricted to graduate students only. All others must add themselves to the waitlist during add/drop.
Regular Academic Session. Combined with: INFO 6300
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
-
MW
Bloomberg Center 398
Cornell Tech - Jan 23 - May 9, 2023
Instructors
Lee, L
-
MW
Bloomberg Center 398
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Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in NYC, streamed from Ithaca. Enrollment Limited to Cornell Tech PhD Students only.
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