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English Language and Literature

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
ENG5291 Capstone Project on Data Visualization 3 6 Major Master/Doctor - No
In this course, students will study some techniques used in humanities to visualize data. Studying how place and time work in literature, students will learn how to transform textual information into visual forms by learning how to use digital tools such as Google Maps, Google Earth, Photoshop, Tableau, and Matplotlib. By exploring these digital tools and “thick mapping,” students will examine how to narrate stories visually and why narration still matters for digital mapping and visualization. Students are required to submit maps or images that meaningfully narrate data in visual forms.
ENG5292 Cultural Representations of the Entangled Human-Natural-Technologitcal Worlds 3 6 Major Master/Doctor - No
In this course, students will approach ecological crises represented in contemporary drama and theatre through the lens of the interplay of the human, natural, and technological worlds, thereby developing the ability to critically analyze the essential relationship between humans and nature and the social value of industry, science, and technology. Students will examine the difficulties the theatre world has been facing in producing stage representations of environmental issues, and analyze how contemporary drama and performance overcome that difficulty to further the development of ecocritical theatre that expands the possibilities of human-centered theatre. Students will be trained to analyze playwriting methods and acting/performance strategies using keywords such as representing environmental crises, human-nonhuman relationships, and agency in the Anthropocene.
ENG5293 Big Data and English Linguistics 3 6 Major Master/Doctor - No
This course provides an overview on computational methods in analysis of natural language texts. Topics include text collections, text classification, linguistic annotation, text mining and analysis, and statistical machine learning. Students will apply and implement different computational models to large-scale language data and conclude the course with a programming-based final project.
ENG5294 Discourse Analysis and Big Data 3 6 Major Master/Doctor - No
This course aims to introduce methods and theories for analyzing discourse using big data sets. After introducing the basic theories of discourse analysis, students will be involved in hands-on projects whereby they locate big data sets, and analyze the data based on what they learned about discourse analysis. Through this course, students can learn how to collect, process, and analyze data suitable for their own purposes.
ENG5295 Statistics for Linguistic Research 1 3 6 Major Master/Doctor - No
This course introduces the methods of conducting statistical tests commonly performed in linguistic research using statistical programs. Through this course, students will learn the key statistical concepts and the methods to conduct and interpret various basic statistical tests.
ENG5296 Statistics for Linguistic Research 2 3 6 Major Master/Doctor - No
This course is designed for students who have taken 'Statistics for Linguistic Research 1' or those who already have basic statistical skills. Through this course, students will examine linguistic studies that employed various statistical tests in depth, and by conducting experimental research and statistical analyses, they will develop their ability to conduct linguistic research.
ENG5297 Topics in Interaction English Literacture: Hybridity in the Age of AI 3 6 Major Master/Doctor - No
This course encourages students to explore the ideas of hybridity and multiculturalism focusing on modern British and American drama. The first part deals with the politics of hybridity focusing on the notions of colonialism, diaspora and nation. The second part investigates the issues of non-human as ‘Other' and its representation, focusing on the posthumanist narratives in the 21st century drama and film.
ENG5298 Bilingual Research 3 6 Major Master/Doctor English Yes
This course introduces major models and issues related to the language development, representation, and processing in bilinguals. We will discuss empirical studies in these areas with a focus on research design. By the end of this course, students are expected to have become familiar with main issues and findings, and research methodologies in bilingual studies, and design and conduct a research project on one of the topics covered in this course.
ENG5299 Instructed Second Language Acquisition 3 6 Major Master/Doctor English Yes
This course provides an overview of the theoretical background of instructed second language acquisition, different types of L2 instruction and major findings. We will read research articles that examined the theoretical issues in SLA and effectiveness of L2 instruction, which will help students familiarize with various second language research methodologies. Through this class, students will gain an understanding of the processes and principles of language learning in instructional settings and the key factors influencing the learning process.
ENG7001 Digital Poetry 3 6 Major Bachelor/Master/Doctor English Yes
This course will investigate the advantages and disadvantages of computers for contemporary poets and poetry readers. Focusing on computer poems in English, we will address literary questions raised by digital technology. Do computer algorithms expand the possibilities of poetry, or do they merely reveal that poetry has always been algorithmic? Do digital poems enhance or diminish the agency of human poets? Do the interactive features of some digital poems genuinely empower readers? The modernist Ezra Pound famously said that poets should “MAKE IT NEW” and that “Poetry is news that stays news.” Most poets today would endorse these statements. But digital poetry’s technological modernity has a strong tendency to doom it to obsolescence, since digital poetry depends on software and hardware that will not endure. We will ponder the implications of this paradox. We will also study the formal devices that distinguish digital poetry from most print and oral poetry: hypertext, animation, scrolling. We may also explore the connections between digital poetry and developments in analog literature: modernism, concrete poetry, the Beat Generation, Fluxus, language writing, and conceptual writing. Though our classes will primarily concern pre-ChatGPT verse, we will examine how earlier digital poets engaged with the possibilities of artificial intelligence.
ENG7001 Digital Poetry 3 6 Major Bachelor/Master/Doctor English Language and Literature English Yes
This course will investigate the advantages and disadvantages of computers for contemporary poets and poetry readers. Focusing on computer poems in English, we will address literary questions raised by digital technology. Do computer algorithms expand the possibilities of poetry, or do they merely reveal that poetry has always been algorithmic? Do digital poems enhance or diminish the agency of human poets? Do the interactive features of some digital poems genuinely empower readers? The modernist Ezra Pound famously said that poets should “MAKE IT NEW” and that “Poetry is news that stays news.” Most poets today would endorse these statements. But digital poetry’s technological modernity has a strong tendency to doom it to obsolescence, since digital poetry depends on software and hardware that will not endure. We will ponder the implications of this paradox. We will also study the formal devices that distinguish digital poetry from most print and oral poetry: hypertext, animation, scrolling. We may also explore the connections between digital poetry and developments in analog literature: modernism, concrete poetry, the Beat Generation, Fluxus, language writing, and conceptual writing. Though our classes will primarily concern pre-ChatGPT verse, we will examine how earlier digital poets engaged with the possibilities of artificial intelligence.
ERP4001 Creative Group Study 3 6 Major Bachelor/Master - No
This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students.
ERP4001 Creative Group Study 3 6 Major Bachelor/Master - No
This course cultivates and supports research partnerships between our undergraduates and faculty. It offers the chance to work on cutting edge research—whether you join established research projects or pursue your own ideas. Undergraduates participate in each phase of standard research activity: developing research plans, writing proposals, conducting research, analyzing data and presenting research results in oral and written form. Projects can last for an entire semester, and many continue for a year or more. SKKU students use their CGS(Creative Group Study) experiences to become familiar with the faculty, learn about potential majors, and investigate areas of interest. They gain practical skills and knowledge they eventually apply to careers after graduation or as graduate students.
HAI5004 Linguistic big data and user behavior 3 6 Major Master/Doctor Human-Artificial Intelligence Interaction - No
With the advent of the Internet of Things, various sensing technologies have emerged, and all our actions are recorded, transmitted, and stored through SNS, through the smart speaker, and through the smart home. In this class, we analyze human language big data stored through various media, and study the correlation between big data stored online and offline behavior.
HAI5009 Special Seminar: Interaction Big Data 3 6 Major Master/Doctor Human-Artificial Intelligence Interaction - No
This course introduces ‘interaction big data’ and presents how this new field deals with data science, user, and interface in terms of theory and method. Moving from data structure-oriented data science to a new approach of encompassing users and interfaces in data science may lead to enhanced understanding of data-driven thinking.