For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
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. | |||||||||
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. |