1. [Introduction to Doctoral Studies in Applied Linguistics]

This course orients incoming doctoral students to the field of applied linguistics and the demands of graduate study. Students survey the discipline's major subfields, methodological traditions, and current debates while developing the practical skills needed to thrive in a PhD program: reading scholarly literature critically, writing productively, understanding research ethics, and identifying potential advisors and research directions. The course helps students locate themselves within ongoing scholarly conversations and map a path through the program

2. [Proseminar in Applied Linguistics]

The Proseminar introduces doctoral students to current scholarship and the professional life of applied linguistics. Through faculty and guest presentations, discussions of recent research, and student-led exchanges on works in progress, students engage with the theoretical and methodological range of the field. The course also builds core academic skills, including conference presenting, journal publishing, peer reviewing, and grant writing. The Proseminar fosters cohort community and socializes students into the practices of the scholarly profession.

3. [Quantitative Research Methods]

This course introduces doctoral students to the design, execution, and interpretation of quantitative research in applied linguistics. Students learn to formulate testable research questions, select appropriate sampling and measurement strategies, and apply statistical techniques commonly used in the field, including descriptive statistics, correlation, t-tests, ANOVA, regression, and an introduction to more advanced models. Emphasis is placed on matching methods to research questions, interpreting results responsibly, and evaluating the quantitative literature with a critical eye. Students gain hands-on experience with statistical software and complete a small-scale quantitative study or analysis.

4. [Qualitative Research Methods]

This course prepares doctoral students to design and conduct qualitative research on language learning, use, and context. Students examine major qualitative traditions—including case study, ethnography, discourse analysis, narrative inquiry, and grounded theory—and explore methods of data collection such as interviews, observation, and document analysis. Attention is given to coding and thematic analysis, researcher positionality, trustworthiness, and ethical considerations in fieldwork. Through readings, in-class exercises, and a small-scale qualitative project, students develop the analytic sensibilities needed to produce rigorous, theoretically grounded qualitative scholarship.

5. [Dissertation I]

This course represents the second stage of the dissertation writing process. Students will focus on data analysis, writing the results and discussion sections, and finalizing their dissertation. The course provides support in refining research findings and preparing the dissertation for submission.

6. [Dissertation II]

This course introduces students to major approaches to the analysis of spoken, written, and multimodal discourse, including conversation analysis, critical discourse analysis, interactional sociolinguistics, and systemic functional approaches. Students examine how language use constructs meaning, identity, and social relations across contexts, and gain hands-on experience transcribing and analyzing discourse data drawn from classroom, institutional, and everyday settings.

1. [Research Perspectives on TBLT]

This course examines task-based language teaching (TBLT) as both a pedagogical approach and a domain of empirical research. Students explore the theoretical foundations of TBLT, principles of task design and sequencing, and methods for investigating task-based interaction, learner performance, and instructional outcomes. Readings draw on current research across second language acquisition, instructed SLA, and language program design.

2. [Language Assessment]

This course provides a foundation in the principles and practices of language assessment. Students examine concepts of validity, reliability, and fairness; explore approaches to assessing the four skills as well as integrated and performance-based abilities; and consider the social and ethical dimensions of testing. Students gain practical experience designing, piloting, and evaluating assessment instruments for classroom and program-level use.

3. [Statistical Methods for Language Research]

This course develops students' ability to apply and interpret statistical analyses commonly used in applied linguistics research. Topics include descriptive and inferential statistics, hypothesis testing, correlation, regression, and analysis of variance, with attention to assumptions, effect sizes, and reporting conventions. Students work with real datasets using statistical software and learn to evaluate the statistical reporting in published research.

4. [Statistical Methods for Language Research]

This course introduces statistical methods essential for designing, analyzing, and critically evaluating empirical research in applied linguistics. The course covers a range of statistical techniques commonly used in language research, including descriptive statistics, inferential statistics, regression-based models, and multivariate analyses. Emphasis is placed on the appropriate selection, interpretation, and reporting of statistical analyses in relation to research questions and theoretical frameworks. Students will gain hands-on experience using statistical software to analyze linguistic data drawn from experimental studies, corpora, and language assessment contexts, with a strong focus on methodological rigor and reproducibility in language research.

5. [Teaching Multilingual Learners]

This course prepares students to understand and support the language and literacy development of multilingual learners across educational settings. Drawing on research in bilingualism, second language acquisition, and culturally sustaining pedagogy, the course examines instructional practices, assessment considerations, and policy contexts that shape multilingual learners' experiences. Students engage with both theoretical foundations and practical applications relevant to classroom teachers, program designers, and researchers.

6. [Art-based Creative Research Methods]

This course introduces students to arts-based and creative approaches to inquiry in applied linguistics, including visual, narrative, performative, and multimodal methods. Students examine the epistemological foundations of arts-based research, explore exemplary studies, and experiment with creative methods for generating, analyzing, and representing data. The course is especially relevant for students interested in identity, lived experience, and the affective dimensions of language learning and use.

7. [Critical Applied Linguistics]

This course engages students with critical perspectives on language, power, and inequality. Drawing on critical theory, decolonial thought, and related traditions, the course interrogates how language practices, policies, and pedagogies are shaped by — and help reproduce — social hierarchies related to race, class, gender, and coloniality. Students consider what it means to do socially engaged, reflexive research in applied linguistics.

8. [Sociolinguistics]

This course examines the relationship between language and society, including variation, multilingualism, language contact, language ideology, and language policy. Students explore how social factors such as region, class, race, gender, and identity shape language use, and how language in turn shapes social life. The course introduces both classic and contemporary sociolinguistic research, with attention to its relevance for applied linguistic inquiry.

9. [Advanced Quantitative Methods]

This course builds on foundational quantitative training and introduces students to advanced statistical techniques used in applied linguistics research. Topics may include multiple and logistic regression, mixed-effects modeling, factor analysis, structural equation modeling, and longitudinal data analysis. Students apply these techniques to authentic datasets and develop the skills needed to design, conduct, and critically evaluate sophisticated quantitative studies.

10. [Advanced Qualitative Methods]

This course extends students' qualitative training by engaging them with advanced analytic approaches and complex methodological questions. Topics may include multi-site and longitudinal qualitative design, multimodal and digital data, advanced coding and theory-building strategies, and emerging approaches such as post-qualitative and decolonial inquiry. Students refine their analytic practice through sustained engagement with their own data or with shared datasets.