Advanced Spoken Language Processing
ADV SPOKEN LANG PROC
Applications of spoken language processing, including text-to-speech and dialogue systems. Analysis of speech and text, including entrainment, empathy, personality, emotion, humor, sarcasm, deception, trust, radicalization, and charisma.
- T 4:10 p.m.-6 p.m.
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Instructor:
Julia Hirschberg
CULPA: 8
h-index: 77
Info
- 3 points
FORMAL VERIF HW SW SYSTEMS
Introduction to the theory and practice of formal methods for the design and analysis of correct (i.e. bug-free) concurrent and embedded hardware/software systems. Topics include temporal logics; model checking; deadlock and liveness issues; fairness; satisfiability (SAT) checkers; binary decision diagrams (BDDs); abstraction techniques; introduction to commercial formal verification tools. Industrial state-of-art, case studies and experiences: software analysis (C/C++/Java), hardware verification (RTL).
- M 6:10 p.m.-8 p.m.
- 3 points
Advanced Topics in Natural Language Proc
AI AGENTS CAPABL RELIABL
Selected topics in Natural Language Processing (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check the "topics courses" webpage on the department website for more information on each section.
- M 4:10 p.m.-6 p.m.
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Instructor:
Zhou Yu
h-index: 22 Info - 3 points
Advanced Topics in Natural Language Proc
NATURAL LANG GEN SUMMARIZ
Selected topics in Natural Language Processing (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check the "topics courses" webpage on the department website for more information on each section.
- W 4:10 p.m.-6 p.m.
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Instructor:
Kathleen McKeown
CULPA: 8 h-index: 71 Info - 3 points
TOPICS IN COMPUTER SCIENCE
READINGS LANGUAGE DESIGN
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- R 2:10 p.m.-4 p.m.
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Instructor:
Bjarne Stroustrup
CULPA: 1 Wikipedia h-index: 38 Info - 3 points
TOPICS IN COMPUTER SCIENCE
ADV TPCS COMPETITIVE PROG
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- W 8:10 p.m.-10 p.m.
- 3 points
TOPICS IN COMPUTER SCIENCE
Hyperscale+AI Infrastruct
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- R 2:10 p.m.-4 p.m.
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Instructor:
Jason Nieh
CULPA: 23
Wikipedia
h-index: 50
Info
- 3 points
TOPICS IN COMPUTER SCIENCE
CONTINUAL LEARN MEM MDLS
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- W 2:10 p.m.-4 p.m.
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Instructor:
Richard Zemel
Wikipedia Info - 3 points
TOPICS IN COMPUTER SCIENCE
MOBILE HEALTH SENSING AI
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
TOPICS IN COMPUTER SCIENCE
HIGH PERF MACH LEARNING
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- M 7 p.m.-9:30 p.m.
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Instructor:
Kaoutar El Maghraoui
Info - 3 points
TOPICS IN COMPUTER SCIENCE
LLM BASED GENERATIVE AI
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 4:10 p.m.-6 p.m.
- 3 points
TOPICS IN COMPUTER SCIENCE
SCALING LLMS SYSTEMS OPT
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- M 4:10 p.m.-6 p.m.
- 3 points
TOPICS IN COMPUTER SCIENCE
ADVANCED COMP SECURITY
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- T 12:10 p.m.-2 p.m.
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Instructor:
Suman Jana
h-index: 33 Info - 3 points
TOPICS IN COMPUTER SCIENCE
ALGOS LARGE LANG MODELS
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- MW 2:40 p.m.-3:55 p.m.
- 3 points
TOPICS IN COMPUTER SCIENCE
DESIGN FOR GENERATIVE AI
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- M 4:10 p.m.-6 p.m.
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Instructor:
Lydia Chilton
CULPA: 3 h-index: 18 Info - 3 points
TOPICS IN COMPUTER SCIENCE
COMPUTATION AND THE BRAIN
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- T 4:10 p.m.-6:25 p.m.
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Instructor:
Christos H Papadimitriou
CULPA: 11 h-index: 129 Info - 3 points
TOPICS IN COMPUTER SCIENCE
ADVANCES VIS GENER MODELS
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 8:10 a.m.-10 a.m.
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Instructor:
Aleksander Holynski
Info - 3 points
TOPICS IN COMPUTER SCIENCE
AI PRACT BUILDING GAMES
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- M 7:10 p.m.-9 p.m.
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Instructor:
Behrang M Garakani
Info - 3 points
TOPICS IN COMPUTER SCIENCE
QUANTUM OPTIMIZATION
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 10:10 a.m.-noon
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Instructor:
Vasileios Kalantzis
Info - 3 points
TOPICS IN COMPUTER SCIENCE
NETWORKS FOR AI
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- T 6:10 p.m.-8 p.m.
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Instructor:
Matteo Varvello
Info - 3 points
TOPICS IN COMPUTER SCIENCE
ANTICIPATING AGI FUTURE
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 10:10 a.m.-noon
-
Instructor:
Steven D Yin
Info - 3 points
TOPICS IN COMPUTER SCIENCE
DSGN PROD AGENTIC SYSTEMS
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 2:10 p.m.-4 p.m.
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Instructor:
Rahul Krishna Prasad
Info - 3 points
TOPICS IN COMPUTER SCIENCE
AI-NATIVE COMPUTING SYSTM
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- F 10:10 a.m.-noon
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Instructor:
Zishen Wan
Info - 3 points
TOPICS IN COMPUTER SCIENCE
BUILD AN AGENT STARTUP
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
- T 10:10 a.m.-noon
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Instructor:
Junfeng Yang
CULPA: 4 h-index: 33 Info - 3 points