Spring 2022: Featured Courses

Exciting choices for the coming semester

Date

11/15/21

Here are some highlights from the Linguistics department's Spring 2022 offerings:

LING 222 Language in Globalization

Credit: 3 hours.

Introduction to the role of language in globalization by examining communication issues concerning language use across cultural, political and geographic boundaries. Explores the interaction of language and other cultural forms in the global context. Among the topics discussed are issues of identity, spread of English and its acculturation to local contexts of use, creativity in language mixing, language in global pop cultures, language in cyberspace, as well as minority language experiences, and loss of indigenous languages.

This course satisfies the General Education Criteria for:
Cultural Studies - Non-West

 

LING 225 Language, Mind, and Brain

Credit: 3 hours.

Introduction to the theory and methodology of psycholinguistics with emphasis on language acquisition and linguistic behavior. Covers the main questions in psycholinguistics and surveys what experimental designs are available to study the psychology of language. Topics covered include child language and bilingualism, second language in the brain, speech production and perception, word and sentence processing, and research design.

This course satisfies the General Education Criteria in Spring 2022 for:
Social & Beh Sci - Beh Sci

 

LING 446 Fundamentals for Speech Signal Processing and Analysis

Credit: 3 OR 4 hours.
Prerequisite: LING 402 or equivalent.

Provides an elementary introduction to concepts, principles and algorithms of digital signal processing. It focuses on computational implementations of contemporary methodologies in digital signal processing rather than underlying mathematical theories, and therefore requires students to have basic Python or MATLAB programming skills as prerequisite. This course comprises lectures and laboratory sessions, during which students will experiment with producing their own computer code aided by ready-made programs to solve practical problems.

 

LING 506 Topics in Computational Ling

Credit: 4 hours.
Prerequisites: LING 406 and an introductory level Computer Science programming course, or consent of instructor.

Section E: Introductory Machine Learning

Machine learning has been thriving in many areas for both research and industry. It offers solutions to problems that traditional approaches may not be able to deal with or fall short in efficiency. From supervised to unsupervised learning, this course is set to give students a broad understanding in modern machine learning methods and techniques. During the course, students are expected to acquire knowledge and skills in solving practical problems in clustering and classification, using techniques such as k-means, Gaussian mixture models, decision trees, support vector machines and neural networks. This course requires LING490 or equivalent in programming and understanding in probability and statistics as prerequisite.

Section GDP: Computational Semantics

This course will examine how computational tools and models helps us advance our understanding of cutting-edge topics in the study of meaning in natural languages, including the semantics of logical terms and phrases, various kind of logical and probabilistic inferences, and the interface between language and general cognition. It will include a preliminary introduction to lambda calculus, compositionality and higher-order logic. We will then discuss the semantics of various functional and logical terms and phrases of natural languages---quantifiers ('most', 'some'), connectives ('and', 'or'), modals ('possible', 'must', 'likely'), polarity-sensitive items ('any')---and the semantics of questions, question-answer systems, discourse representation, selection of variables, and logical, probabilistic and pragmatic/common-sense inferences in natural languages. We will also introduce some standard and more recent computational models of the open class lexicon (words like 'table', 'tigers') and discuss the ways in which recent computational models of the lexicon advance our understanding of the interface between language and world knowledge/general cognition.

 

For a full listing of the department's course offerings, please view our course catalog.

Directory

mt217Marina
Terkourafi
jihualdeJosé
Hualde
rshostedRyan
Shosted
jyoonJames
Yoon
aescobarAnna María
Escobar
zsfagyalZsuzsanna
Fagyal
benmamouAbbas
Benmamoun
bokambaEyamba
Bokamba
bowlesmMelissa
Bowles
clsChilin
Shih
cwkimChin-Woo
Kim
dhillonPradeep
Dhillon
g-greenGeorgia
Green
jpackarJerome
Packard
jscoleJennifer
Cole
mkmishraMithilesh
Mishra
mkovenMichéle
Koven
montrulSilvina
Montrul
nppmNuma
Markee
raj-panRajeshwari
Pandharipande
rbhattRakesh
Bhatt
hancinbhBarbara
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hhhockHans Henrich
Hock
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Dickerson
tioninTania
Ionin
koshikIrene
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lasersohPeter
Lasersohn
rsadlerRandall
Sadler
lpierce2Lisa
Pierce
esaadah2Eman
Saadah
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kielKiel
Christianson
sfaivreSusan
Faivre
tschopp2Jill
Huang
girju(Corina)
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gdellGary
Dell
clfisheCynthia
Fisher
jhasegawMark
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djross3Daniel
Ross
shakkou2Elias
Shakkour
jinkim7Jin
Pennell
crosado2Cassandra
Rosado
jonmacdJonathan
MacDonald
c-cheng1Chin-Chuan
Cheng
jlmorganJerry
Morgan
ckissebeCharles
Kisseberth
s-seitzSteven
Seitz
jcowanJ (initial only)
Cowan
crnorma2Chelsey
Norman
jegerskiJill
Jegerski
schoi76Sea Hee
Choi
dunse2Amber
Dunse
kotnaro2John
Kotnarowski
lrlambe2Leyla
Lambert
zalesov2Sergei
Zalesov
dstannerDarren
Tanner
abdar2Omid
Abdar
bryce2Bill
Bryce
ecarro3Elizabeth
Carroll
agreenf2Anita
Greenfield
lanesLane
Schwartz
cchen153Chung-Yu
Chen
drackly2Patrick
Drackley
sejohns5Sarah
Johnson
miszogl2Eva
Miszoglad
mwu43Mien-Jen
Wu
loksiJenny L
Davis
landblo2Stephanie
Landblom
marcofonMarco Aurelio
Silva Fonseca
ksmallsKrystal
Smalls
xunyanXun
Yan
aozcanAyse
Ozcan
scfranksSuzanne
Franks
hpark129Hyunji
Park
agarmst2Andrew
Armstrong
goldsht2Maria
Goldshtein
yansun5Yan
Sun
tsiola2Anna
Tsiola
gathogoMary K.
Gathogo
karkafiJosephine
El Karkafi
echen41Emily
Chen
jz13Jennifer
Zhang
yinglun2Yinglun
Sun
shujus2Shuju
Shi
tsanei2Taraneh
Sanei
lrg4Lindsey
Graham
cnc3Caitlin
Cassidy
plc2Ping-Lin
Chuang
ccsheri2Caitlin
Sheridan
lmsimsLinda
Sims
aita17Aida
Talić
mgbowenMichael
Bowen
cdoldCharles
Dold
jprentiJulie
Prentice
jayoung4John
Young
sarahc4Sarah
Clark
wsa2Wafa
Abdulla
chasea2Chase
Adams
hmgent2Helen
Gent
ayg2Amy
Gorgone
irfans2Irfan
Shailendra Irfan
gwawire2Gorrety
Wawire
aavci2Arzu
Avci
camillr4Cheyenne
Miller
hkim17Heejin
Kim
zreed2Zacharia
Reed
dee5Dee
Bates
jjgJeffrey
Green
dell3Brennan
Dell
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Kır
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Del Pinal
gianghl2Giang
Le
dees3Joshua
Dees
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Gallardo
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Glodstaf
mfhasan3Muhammad
Hasan
chaeeun4Chae Eun
Lee
britnim2Britni
Moore
casar2Allison
Casar
ea10Eunjeong
Ahn
xinleic2Xinlei
Chen
tfdalto2Tessa
Dalton
dunn10Frederick
Dunn
ahoustonAlice
Houston
thjang2Timothy
Jang
mejones3Marianne
Jones
maimm2Mai
Mohamed
semorro2Sarah
Morrow
oyama2Tomoko
Oyama
karlags2Karla
Sanabria Véaz
rcs5Robert
Schroeder
lv5Luciano
Vazquez
mengjia6Mengjia
Zeng
aylinc2Aylin
Coskun Kunduz
styrina2Sofya
Styrina
ytyYan
Tang
hahyadHonaida
Ahyad
bednarz5Agnieszka (Agnes)
Bednarz
ebilyeu2Quinn
Bilyeu
buonomo2Emily
Buonomo
burress3Max
Burress
rpc3Ryan
Corrigan
adetutu2Adetutu
Fabusoro
ejun2Esther
Kim
mjkim10Michelle
Kim
mmasuda2Mikako
Masuda
aksanto2Aria
Santos
yaoz4Yao
Zhang
huiying7Huiying
Cai
sj45Seungho
Jang
ek12Elizabeth
King
haramp2Haram
Park
stelzer3Daniel
Stelzer
aeulloa2Abraham
Ulloa
scalleSalvatore
Callesano
phadleyPamela
Hadley
juliahmrJulia
Hockenmaier
mrispoliMatthew
Rispoli