Courses

Here is a list of graduate courses that have been offered on a regular basis in the past fews years. The course materials will only be made available when it is being offerred and limited to the use of the enrolled students.

The most up-to-date information of all graduate and undergraduate courses is available on our department website]. You can also find a complete list of the proposed courses for the current academic year on our department website as well.

Course Descriptions

ENC2055

Introduction to Programming Languages for Linguistic Analysis

The objective of this course is to provide a comprehensive introduction to programming languages with a special focus on its application in linguistic analyses. This course is especially tailored to those who do not have any background or experiences in coding and computing. We will start from the very basic concepts, such as data types, variable assignments, control structures, to more complex procedures such as routines, functions, and project-based tasks. The course will consist of a series of theme-based hands-on tutorials, which demonstrate how the flexibility of the programming language can help you become a more efficient and productive data scientist. Specifically, this course will use the language R as our featuring programming language and introduce you to R, Rstudio, and a collection of R packages designed to work together to make linguistic analyses fast, fluent, and fun.By the end of the course, students should have a working knowledge of coding and an ability to undertake their own preliminary computational textual analyses.

Course Website

ENC2036

Corpus Linguistics

This course aims to introduce theories and practices of Corpus Linguistics as a scientific discipline of its own. Corpus Linguistics has now been considered an interdisciplinary subject, requiring knowledge of linguistic theories, quantitative statistics and data processing. Therefore, this course aims to provide the necessary foundation as well as skills for students who are interested in conducting corpus-based linguistic research or language-related research.

Course Website

ENC2045

Computational Linguistics

This course aims to provide an introduction to an interdisciplinary field in linguistics, known as Computational Linguistics. This field has experienced a significant growth in the last decade, featuring the use of statistical techniques, the availability of large corpora, and the availability of powerful machine learning algorithms. This course will discuss the main tasks and agendas in computational linguistics as well as the core technologies and techniques used in the automatic systems. Students will gain an appreciation of the difficulties inherent in natural language processing (NLP) and an understanding of strategies and principles for the challenges. On the other hand, students will learn how to write basic programs to deal with different language processing tasks.

ENC2056

Topics on Quantitative Corpus Linguistics

The objective of this course is to introduce students to a range of topics and research methods in quantitative corpus linguistics, including association models on collocation and collostruction, predictive models/classifiers on semantic profiles as well as other basic exploratory methods (e.g. cluster analysis). The topics will cover corpus-based linguistic analyses on different sub-disciplines, including lexis (collocations), phraseology (lexical bundles and multiword expressions), syntax (patterns and alternations), semantics (lexical relations), semantic change (grammaticalization), and language ideology (semantic prosody and keywords).