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

Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
BUS2011 Marketing Research Methodology 3 6 Major Bachelor Business Administration English Yes
The purpose of this course is to provide participants with the skills needed to conduct basic market research studies, work with research departments and/ or companies to obtain the information needed for decision making and to evaluate and interpret research results. The course covers issues of basic data collection and analysis. Methodologies for designing new products, segmenting markets and positioning products. As business managers in every field and at every level are called upon to make decisions on the basis of collected information, most participants will find this course relevant, regardless of their chosen fields of specialization.
BUS3031 Marketing Communication 3 6 Major Bachelor Business Administration Korean Yes
This course covers important issues in the design and implementation of effective marketing communication programs, such as advertising and promotions. Specifically, the goals of this course are: 1) to enhance your understanding of the important issues involved in integrated marketing communication; 2) to expose you to relevant theories and models that can be useful for your understanding marketing communication; and 3) to provide you with a strategic perspective on managing effective marketing communication.
BUS3038 Business Communication 3 6 Major Bachelor Business Administration - No
This course explores the theory and practice of written and oral communication in business. Students learn strategies for effectively communicating in a variety of business contexts from e-mail to formal written and oral reports.
CHS2003 Robust System Design with Big Data Analytics and Artificial Intelligence 2 4 Major Bachelor 1-4 Challenge Semester Korean Yes
In this course, the fundamental theories and methodologies on big-data analytics and artificial intelligence (AI) algorithms for prognostics and health management (PHM) of engineering systems are mainly covered. More specifically, the reliability analysis, sensor-based big-data collection, signal processing, statistical feature extraction and selection, and AI-based modeling are studied, and the hands-on practices are also carried out. In addition, various case examples are introduced to study the robust engineering system design using the big-data analytics and AI algorithms.
CHS2008 The Fourth Industrial Revolution and Start-up Business 1 2 Major Bachelor 1-4 Challenge Semester Korean Yes
The fourth industrial Revolution is regarded as a key driving force to lead the new national growth method and changes the industrial structure. Therefore, major advanced economies are already proactively focusing on creating new business models in the fourth industrial revolution. On the other hand, the korea response system to the fourth industry and human resource development performance are considered insufficient. This subject is to aware of the necessity of Startiup a business in the era of the Fourth Industrial Revolution for lower-grade students at universities and to explain the fourth industrial revolution technology. Based on this background knowledge, students will learn business model development theory, startup team building, and how to draw up a business plan. In particular, this subject will secure successful start-up cases or related videos to encourage students fun and eventually cultivate basic skills to start Business.
CHS2015 AI-based Neuroscience and Neurotechnology 3 6 Major Bachelor 1-4 Challenge Semester Korean Yes
This course will introduce fundamentals of how human brain works and the state-of-the-art of neuroscience research. This course will cover the convergence of cognitive neuroscience and neurotechnology with humanities and social sciences (e.g., brain-computer interface, neuromarketing, neurolinguistics, neuroergonomics, etc.), AI applications to advance neuroscience/engineering, and future directions through class discussions. This course aims for students to ① understand the literature in the fields of cognitive neuroscience and neurotechnology based on the understanding of humanities and social sciences; ② understand the state-of-the-art of AI and its applications to advance neuroscience; ③ articulate the domains and contexts in which cognitive neuroscience and neurotechnology may be effective; ④ develop an ability to lay out the open questions and address challenges in cognitive neuroscience and neurotechnology research today;and ⑤ prepare themselves to be more knowledgeable and proficient professionals.
CHS2017 A new human, phono sapiens Experience Design 3 6 Major Bachelor 1-4 Challenge Semester Korean Yes
As humans started using smartphones, they are experiencing changes in consumption psychology, consumer behavior, and market ecosystems due to rapidly changing lifestyles. This represents a new type of human, the main protagonist of the revolution, called Phono Sapiens. As consumption civilization changes, we learn about digital transformation and changes in business models driven by the development and evolution of big data, artificial intelligence, and digital platforms. We analyze and learn the direction of digital experience design (Digital Experience Design) based on digital transformation. Companies provide and understand the direction of new business innovation and change in accordance with rapidly changing trends for Phono Sapiens, the new consumers.
CHS7004 Thesis writing in humanities and social sciences using Python 3 6 Major Bachelor/Master/Doctor Challenge Semester Korean Yes
This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages ​​and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing.
CNT3017 Content Industry PBL 3 6 Major Bachelor Culture and Technology - No
Students will do hands-on projects to develop technical knowledge and skills and the ability to understand how technology influences humans, design, and creative processes. Students will work with real-world problems, deal with developing fascinating cultural products or high-tech applications, and focus on having a social impact. To do so, Students will train to draw a hypothesis, market research, business communication skills, and finally develop business plans of their own.
CNT3028 Creating Social Media Star 3 6 Major Bachelor Culture and Technology Korean Yes
What are the characteristics of successful YouTubers and Inflammers? How are the characteristics of celibacy in the existing pop culture different from those of the digital age? Which of the characteristics of the two world's celibacy are compatible and not possible? The class analyzes media and pop culture drivers who create popularity and fame, and the characteristics of platforms and content from the perspective of history, marketing, business and technology.
CNT3042 Creating a Social Media Star 2 3 6 Major Bachelor Culture and Technology - No
This class takes up where “Creating a Social Media Star (CNT3028)” left off. Students will practice the knowledge of “popularity,‘ ”influence,“ ”digital content planning,“ and ”digital channel management“ by actually opening and operating a social media channel. They will analyze diverse data from channel operation, and will be evaluated by ”how much the channel have grown its influence during the semester.“
CNT3044 Interactive&Virtual Narrative 3 6 Major Bachelor Culture and Technology English Yes
This class introduces the relationship between interactivity and storytelling. Students will analyze how an interactive structure may alter narrative. This class will explore conventional linear content and move on to nonlinear novels, theater/performance, games, interactive films and VR narratives. Particularly, this class will examine the characteristics of interactive media and the structural properties of narratives such as multiple points of view, disruptions of time/space, digression, alternate storylines, and audience participation.
CNT3045 Content Commerce 3 6 Major Bachelor Culture and Technology - No
Many manufacturers and online shopping malls along with social media and portals are introducing their own “media commerce” services. This class introduces students to diverse content practices taking place in the commerce industry, investigates how media commerce differs from the conventional “TV home shopping” business. In the semester the students will produce content to sell their own goods (or the goods prepared by the department) to actually learn ther key success factors of content commerce.
CNT3046 Analyzing Social Data 3 6 Major Bachelor Culture and Technology - No
This class introduces diverse data extractable from social media. Particularly “the structured data” (i.e., user traffic and other quantifiable data) and “the unstructured data” (i.e., user comments, interpreted sentiment) are examined. Students will learn how to collect, analyze, and interprete these data to identify social trends, project consumer behaviors, and enable more precise targeting.
CON3032 Consumer Big Data Analysis 3 6 Major Bachelor 2-4 Consumer Science English Yes
Introduction to machine learning for consumer science. This course covers foundational concepts in machine learning such as overfitting, cross validation, and bias-variance tradeoff, and application of machine learning algorithms to consumer big data analysis.