For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| DSC3002 | Practice in Data Visualization | 3 | 6 | Major | Bachelor | 3-4 | Data Science | English | Yes |
| This course teaches information design fundamentals and introduces a variety of visualization tools and techniques. At the end of the course, the student will be able to identify which visualization technique are best suited to deliver high impact messages under a variety of situations. The student will also learn how to present meaningful information in the most compelling and consumable fashion. The course deals with charts and tables as main modes of data visualization. | |||||||||
| DSC3029 | Data Marketing | 3 | 6 | Major | Bachelor | Data Science | Korean | Yes | |
| Understand data marketing based on the latest trends in data marketing and the results of marketing projects in the workplace, and learn the types, characteristics, and utilization of data generated by each marketing process. - Know the latest trends in data marketing and perform consumer analysis. - Data on consumer behavior from digital channels can be known and collected/analyzed. - know more effective types of content for each digital channel and can analyze the effects. - Data analysis can be applied to measure performance and derive marketing strategies. | |||||||||
| 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. | |||||||||
| ISS3090 | Technology, Society and Sustainability | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| We will learn about how the technology and society have been changed and effected to each other. In addition to that, we will discuss about how we develop and manage our technology and society to be sustainable. | |||||||||
| ISS3157 | Behavioral Economics and the Economics of Altruism | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| Behavioral economics is gaining widespread acceptance among contemporary economists. Motivated by models and evidence from Psychology, it considers the implications of relaxing key classical assumptions, in particular, to allow for limited willpower, bounded cognition, and other-regarding preferences. Students will get a rigorous but intuitive introduction to prominent behavioral models such as "prospect theory", "satisficing," "time-inconsistent preferences", and "fairness". We will compare these to traditional economic models, considering the evidence, particularly from lab and field experiments, while learning key principles of experimental design and analysis. | |||||||||
| ISS3217 | Business Analytics | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| This course will provide students with an introduction to business analytics. This course will change the way you think about data and its role in business. We will examine how data analysis technologies can be used to improve decision-making. We will study the fundamental principles and techniques of business analytics, and will examine real-world examples and cases to place datamining techniques in context and to develop business analytic thinking. | |||||||||
| ISS3219 | Digital Marketing | 3 | 6 | Major | Bachelor | - | No | ||
| The goal of this course is to provide insights on how modern industry is adopting new emerging media and technologies as marketing tools. In a digital sphere, modern consumers go through the stages of awareness, intent, conversion and finally retention. The course will focus on how digital media have revolutionized the interactions between firms and consumers along this journey. New technologies offer powerful tools to reach consumers along the funnel: online display ads raise awareness, search listings reach consumers with intent, e-commerce facilitate conversion, and social medial both energizes and retains customers. | |||||||||
| ISS3220 | Consumer Behavior | 3 | 6 | Major | Bachelor | - | No | ||
| The goal of this course is to provide 1) an understanding of the dynamics that underlie consumer behavior (CB) and the factors that influence these dynamics, and 2) experience in extending beyond knowing and understanding to applying said knowledge. For many aspects of the course experience, the guiding question will be: “How could you apply the concepts and principles form assigned reading to develop, improve, package or promote your product/service/issue in a way likely to impact positively upon consumers’ mental states and/or behavior? ” | |||||||||
| ISS3222 | Introduction to Machine Learning | 3 | 6 | Major | Bachelor | - | No | ||
| Covers fundamental concepts for intelligent systems that autonomously learn to perform a task and improve with experience, including problem formulations (e.g., selecting input features and outputs) and learning frameworks (e.g., supervised vs. unsupervised), standard models, methods, computational tools, algorithms and modern techniques, as well as methodologies to evaluate learning ability and to automatically select optimal models. Applications to areas such as computer vision (e.g., characte r and digit recognition), natural language processing (e.g., spam filtering) and robotics (e.g., navigating complex environments) will motivate the coursework and material. | |||||||||
| ISS3224 | Data Visualization | 3 | 6 | Major | Bachelor | - | No | ||
| This course explores the field of data visualization. Topics cover the expanse of visualization from data preparation and cleaning to visualization types such as time series, box plots, and violin plots. Included in our study are visualization tools, online interactive visualizations, and other issues related to the display of big data. | |||||||||
| ISS3233 | Statistics in Python | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| This course will cover elementary topics in statistics using Python. The statistics topics include principles of sampling, descriptive statistics, binomial and normal distributions, sampling distributions, point and confidence interval estimation, hypothesis testing, two sample inference, linear regression, and categorical data analysis. Using Python, students will learn basic knowledge in Python programming, data management, data formats and types, statistical graphics and exploratory data analysis, and basic functions for statistical modeling and inference. | |||||||||
| ISS3265 | Cross Cultural Psychology | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| Surveys research and theories on culture and psychology. Focuses on gaining a deeper understanding of Western and non-Western worldviews and their relation to various psychological topics, such as mental health, personality, spirituality, and emotion. Highlights both empirical and experiential approaches to studying cultural issues in psychology. | |||||||||
| ISS3275 | Psychology of Fintech | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
| Fintech has become mainstream areas in finance. As opposed to neoclassical finance, behavioral finance accepts the fact that markets are not efficient and the CEOs are psychologically biased. Technological development such as Big Data and Machine Learning enabled the researchers to measure the psycholocal biases of the CEOs and the sentiments of the market participants, which turned out to be the key elements in FinTech such as Robo-Analyst and algorithmic trading. Students will learn about Blockchain and the bubble in bitcoin markets; financial bubbles; sentiments in the market and algorithmic trading; and psychological biases of the CEO and corporate financial decisions. | |||||||||
| SOC2008 | Sociology of Culture | 3 | 6 | Major | Bachelor | 2-3 | Sociology | Korean | Yes |
| This course examines cultural practices and cultural products as they relate to other aspects of society, with emphasis on such issues as the relationship between culture and society, cultural change, popular culture and high culture, etc. | |||||||||
| SWF2027 | Qualitative Method for Consumer & Family | 3 | 6 | Major | Bachelor | 2-3 | Social Welfare | - | No |
| Study and practice on the techniques of the qualitative methods including observation, in-depth interview, focus group interview, and content analysis for the investigation of living and consumption phenomena of consumer and family. | |||||||||