Course Description
Semantics I, LING 53
Introduction to the logical foundations of natural language semantics. Logical and semantic relations, simple set theory, logical representations (propositional and predicate calculi, modal and tense logics) and their interpretations. A basic literacy course in the language of logical representation.
Key Information
Credit: 5 quarter units /
3.33 semester units credit
UC Santa Cruz, Linguistics
Course Credit:
Upon successful completion, all online courses offered through cross-enrollment provide UC unit credit. Some courses are approved for GE, major preparation and/or, major credit or can be used as a substitute for a course at your campus.If "unit credit" is listed by your campus, consult your department, academic adviser or Student Affairs division to inquire about the petition process for more than unit credit for the course.
UC Berkeley:
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UC Davis:
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UC Irvine:
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UC Los Angeles:
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UC Merced:
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UC Riverside:
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UC San Diego:
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UC San Francisco:
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UC Santa Barbara:
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UC Santa Cruz:
General Education: IM
Course Creators
Pranav Anand
Pranav Anand is a Professor of Linguistics who works at the intersection of theoretical linguistics, philosophy of language, and computational linguistics. At the broadest level, he is interested in how context shapes the meaning we draw from linguistic expressions. One major strand of his work concerns how subjective experience and perspective are encoded cross-linguistically, and here he has looked at how across languages of the world we report our dreams, how we talk about ourselves, and how we specify the evidence for our claims. With more computationally-oriented models, Pranav has examined cross-linguistic and cross-cultural forms of persuasive argumentation, as well as how our language can be used to characterize our emotional states. Current work in this area is focusing on connecting computationally-derived models with psychological theories, including work with psychologists and computer scientists on theories of emotion and on why partisan language can be more persuasive than more measured language.
Pranav Anand is a Professor of Linguistics who works at the intersection of theoretical linguistics, philosophy of language, and computational linguistics. At the broadest level, he is interested in how context shapes the meaning we draw from linguistic expressions. One major strand of his work concerns how subjective experience and perspective are encoded cross-linguistically, and here he ...Pranav Anand is a Professor of Linguistics who works at the intersection of theoretical linguistics, philosophy of language, and computational linguistics. At the broadest level, he is interested in how context shapes the meaning we draw from linguistic expressions. One major strand of his work concerns how subjective experience and perspective are encoded cross-linguistically, and here he has looked at how across languages of the world we report our dreams, how we talk about ourselves, and how we specify the evidence for our claims. With more computationally-oriented models, Pranav has examined cross-linguistic and cross-cultural forms of persuasive argumentation, as well as how our language can be used to characterize our emotional states. Current work in this area is focusing on connecting computationally-derived models with psychological theories, including work with psychologists and computer scientists on theories of emotion and on why partisan language can be more persuasive than more measured language.
