Last generated: Monday, May 05 2025 09:44 AM CDT
NOTE: 500 level courses require graduate standing
Last generated: Monday, May 05 2025 09:44 AM CDT
NOTE: 500 level courses require graduate standing
3 hours. May be offered in a traditional, blended, or online remote format. Check the class schedule for specifics. For both the online and hybrid ("blended-online") formats, computer and internet access are required. A high-speed connection is strongly suggested. Individual and Society course. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 33009 | LCD | 09:30 AM - 10:45 AM | TR | 311 | 2BSB | Pichan, C | Meet on campus | |
| 44930 | LCD | 11:00 AM - 12:15 PM | TR | A004 | 2LCA | Cabrelli, J | Meet on campus | |
| 33008 | LCD | 11:00 AM - 12:15 PM | TR | 187 | 2BSB | Pichan, C | Meet on campus |
3 hours. May be offered in a traditional, blended, or online remote format. Check the class schedule for specifics. For both the online and hybrid ("blended-online") formats, computer and internet access are required. A high-speed connection is strongly suggested. Recommended background: LING 150. Individual and Society, and US Society course. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 27461 | LCD | 08:00 AM - 09:15 AM | TR | 365 | 2BSB | Hallett, J | Meet on campus | |
| 45038 | LCD | 09:30 AM - 10:45 AM | TR | 365 | 2BSB | Hallett, J | Meet on campus |
3 hours. Prerequisite(s): LING 150; or consent of the instructor. Recommended Background: ENGL 200. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 44931 | LCD | 02:00 PM - 03:15 PM | TR | 308 | 2LH | Ebert, S | Meet on campus |
3 hours. Extensive computer use required. A high-speed connection, while not required, is strongly suggested. Prerequisite(s): LING 150; or consent of the instructor. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 43724 | LCD | 12:30 PM - 01:45 PM | TR | 281 | 2BSB | Pichan, C | Meet on campus |
3 hours. Prerequisite(s): LING 150; or consent of the instructor. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 47115 | LCD | 03:00 PM - 04:15 PM | MW | 115 | 2LH | Miller, D | Meet on campus |
3 hours. May be offered in a traditional, blended, or online remote format. Check the class schedule for specifics. For both the online and hybrid ("blended-online") formats, computer and internet access are required. A high-speed connection is strongly suggested. Prerequisite(s): ENGL 160. Recommended background: LING 150 or LING 160 or a similar course. Individual and Society, and US Society course. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 35936 | LCD | 02:00 PM - 03:15 PM | TR | 205 | 2GH | Sanchez, L | Meet on campus | |
| Have you ever wondered why human language acquisition is so complex? Some of us are multilingual, but have different proficiency levels in each language. Some of us understand the main ideas in a language, but we cannot produce them with the same ease. In some cases, we are in contact with speakers of languages other than English, but we do not interact with them in those languages. In other cases, we speak languages other than English, especially at home, but our interactions in those languages diminish as we grow up. In this course, we will look at the social and cognitive aspects involved in child and adult language acquisition with particular emphasis on heritage languages and the complexities of language contact situations within the framework of language as a human right. | ||||||||
3 hours. May be repeated if topics vary. Only 6 hours may be counted towards a major or minor in the Department of Linguistics. Students may register for more than one section per term. Prerequisite(s): LING 150; or consent of the instructor. Recommended background: At least one of LING 210, LING 220, or LING 230. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 44932 | LCD | 12:30 PM - 01:45 PM | TR | 113 | 2BSB | Hallett, J | Meet on campus | |
| Urban Linguistic Field Methods | ||||||||
3 hours. Same as CHIN 330. Taught in English. Extensive computer use required. The course may be offered in 15 weeks or 8 weeks. Class format varies by section. Check the class schedule for details. Online sections involve heavy computer usage; computer and internet access are required. Prerequisite(s): CHIN 101; or appropriate score on the department placement test; or consent of the instructor. Recommended background: LING 150. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 48193 | LCD | 12:00 PM - 12:50 PM | MW | 208 | 2TH | Xiang, X | On campus and online |
3 hours. Extensive computer use required. Prerequisite(s): LING 150; or consent of the instructor. Recommended background: MATH 180; and Credit in at least one 200-level LING course. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 47897 | LCD | 03:00 PM - 05:30 PM | W | 320 | 2LH | Shin, G | Meet on campus | |
| This course introduces basic statistical techniques and procedures for research in language sciences, aiming for reproducible research practices in quantitative research. Topics includes handling quantitative data, understanding assumptions and procedures of common statistical methods, and applying these methods to data analysis. Students are afforded an opportunity to work with R (a well-known computational language for statistics and visualisation) under RStudio (an integrated development environment) in their class participation, data analysis assignments, and research projects. No prior knowledge of inferential statistics or computer programming is required for this course, but you are expected to spend a good amount of time (i) setting up your own device(s) suitable for R programming and (ii) troubleshooting technical issues firstly and actively by consulting online platforms (e.g., Stack Overflow). Prerequisite: LING 150 (or consent of the instructor) Recommended: MATH 180, LING 200-level courses By the end of the course, students will be able to develop basic knowledge about: the purposes and types of quantitative research techniques for managing and analysing data threats to validity of interpretation of statistical studies and students will be able to: develop appropriate research questions, hypotheses, and research designs employ computer applications for statistical analysis interpret the results of statistical analyses properly review quantitative studies critically Course requirements: attendance & participation (20%); homework (20% * 4); extra credit (up to 5%) | ||||||||
3 hours. Extensive computer use required. Prerequisite(s): LING 150; or consent of the instructor. Recommended background: Credit in at least one 200-level LING course. Departmental Approval Required
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 47898 | LCD | 09:30 AM - 10:45 AM | TR | 216 | 2TH | Shin, G | Meet on campus | |
| This course explores how computers process data for language research. Students are afforded an opportunity to work with Python to practice common Natural Language Processing (NLP) techniques that can be used to facilitate data mining and information extraction. Students learn how to apply NLP techniques to language-data-related tasks, together with underlying mechanisms and approaches pertaining to these techniques. Students also have chances to lead sessions covering some of the techniques. This ensures that students learn about major NLP issues and solutions, as well as becoming agile with NLP programming. No prior knowledge of digital technologies or computer programming is required for this course, but students are expected to spend a good amount of time in (i) setting up their own device(s) suitable for Python programming (through Jupyter Notebook) and (ii) troubleshooting technical issues firstly and actively by consulting online platforms (e.g., Stack Overflow). Prerequisite: LING 150 (or consent of the instructor) Recommended: LING 200-level courses By the end of the course, students will be able to have (i) an experience of using Python and (ii) a basic understanding of various NLP tools and functions such as (but not limited to): Part-of-speech tagging & syntactic parsing Vector semantics / topic modelling / word embedding Clustering & classification Machine learning (intro level) Through hands-on activities, students will be able to apply the above tools to (issues in) language research. Students will also learn how to evaluate the strengths and weaknesses of various NLP techniques as they gain practical experience in these tools available. Course requirements: attendance & participation (10%); mini project (10% * 4); session lead (10% * 3); presentation (20%); extra credit (up to 5%) | ||||||||
3 OR 4 hours. Same as CLJ 402. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): CLJ 261 and CLJ 350; or consent of the instructor.
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 47602 | LCD | 02:00 PM - 02:50 PM | MWF | 207 | 2LH | Meet on campus | ||
| 3 hours Restricted to Undergrad - Chicago. | ||||||||
| 47603 | LCD | 02:00 PM - 02:50 PM | MWF | 207 | 2LH | Meet on campus | ||
| 4 hours Restricted to Graduate - Chicago or Graduate Non-Degree Chicago. | ||||||||
3 OR 4 hours. Same as CEES 406 and LCSL 406. 3 undergraduate hours. 4 graduate hours. Taught in English. In cases where students speak languages other than English, they might receive tasks to research literature in that language (and on that language) and to present their research results. Prerequisite(s): Junior standing or above; and consent of the instructor.
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 35421 | LCD | 03:30 PM - 06:00 PM | T | ARR | 2ONL | Subacius, G | Meet online at set times | |
| 4 hours If a language is a dialect with an army and a navy, then among the many dialects that make up a language, the standard variety has the largest military. This course is all about the phenomenon of standard languages. The standard variety is primarily written with the goal of providing linguistic uniformity in the face of social diversity. Standard languages are often thought of as prestigious, most beautiful, and may serve as a symbol of national identity while also being the official language of a country. We will analyze and discuss the birth and development of language standards, the development of individual standard languages, and we will see emerging historicaltheoretical patterns. Some standards were initiated by kings, othersby intellectuals of peasant origin. Of over 50 present standard languages in Europe, a number will be investigated, compared, and classified: English, German, Albanian, Estonian, Greek, Yiddish, Italian, French, Spanish, Lithuanian, Polish, Ukrainian, Norwegian, Croatian, Serbian, Luxembourgish, Russian, etc. Restricted to Graduate - Chicago or Graduate Non-Degree Chicago. | ||||||||
| 36275 | LCD | 03:30 PM - 06:00 PM | T | ARR | 2ONL | Subacius, G | Meet online at set times | |
| 3 hours If a language is a dialect with an army and a navy, then among the many dialects that make up a language, the standard variety has the largest military. This course is all about the phenomenon of standard languages. The standard variety is primarily written with the goal of providing linguistic uniformity in the face of social diversity. Standard languages are often thought of as prestigious, most beautiful, and may serve as a symbol of national identity while also being the official language of a country. We will analyze and discuss the birth and development of language standards, the development of individual standard languages, and we will see emerging historicaltheoretical patterns. Some standards were initiated by kings, othersby intellectuals of peasant origin. Of over 50 present standard languages in Europe, a number will be investigated, compared, and classified: English, German, Albanian, Estonian, Greek, Yiddish, Italian, French, Spanish, Lithuanian, Polish, Ukrainian, Norwegian, Croatian, Serbian, Luxembourgish, Russian, etc. Restricted to Undergrad - Chicago. | ||||||||
1 TO 4 hours. Satisfactory/Unsatisfactory grading only. May be repeated. Students may register in more than one section per term. A maximum of 6 hours is allowed for undergraduate students, and 8 hours of credit for graduate students. Prerequisite(s): 9 hours of linguistics and approval of the head of the department. Departmental Approval Required This course counts toward the limited number of independent study hours accepted toward the undergraduate degree and the major.
| CRN | Course Type | Start & End Time | Meeting Days | Room | Building Code | Instructor | Meets Between | Instructional Method |
|---|---|---|---|---|---|---|---|---|
| 11696 | CNF | ARRANGED | Xiang, X |