For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| 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 | English | Yes | |
| 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. | |||||||||
| ISS3183 | Human Computer Interaction | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course covers the basic concepts, fundamental theories and current researches in humancomputer interaction. Topics include principles, theories, methodologies, design, implementation, evaluation and research in computer interfaces. The objectives of this course are: to familiarize students with basic concepts of human computer interaction; to introduce students to theories and principles in computer interface design; to develop students’ ability to design, conduct and analyze user studies for computer software; and to provide students with the knowledge of the design process for user interfaces. | |||||||||
| ISS3198 | Artificial Intelligence | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course aims to teach the fundamentals of artificial intelligence starting with the concepts of intelligence, rationality and intelligent agents. Next, it will probe into problem solving, introducing the notion of search by drawing examples from puzzles and games amongst others. Then, the basics of knowledge representation and reasoning, such as logic and planning will be explored. Machine learning, a fast growing subfield of A.I. will also be covered focusing on technologies and real-world applications such as games, biomedical applications, social networks and smart technologies. Further topics (time-permitting) include the impact of major A.I. areas such as robotics and computer vision, natural language and speech processing in our society today. This is an introductory course and would be suitable for anyone interested to delve deeper into A.I. in the near future. Students will be given assignments that do not require any programming. | |||||||||
| ISS3217 | Business Analytics | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| 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 | English | Yes | ||
| 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 | English | Yes | ||
| 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 | English | Yes | ||
| 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 | English | Yes | ||
| 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 | English | Yes | |
| 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. | |||||||||
| ISS3266 | Digital Strategies in Media and Communication | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| This course presents a clear overview of the digital media strategies for business and offers opportunities for acquiring analytical skills of performing integrated strategic communication (ISC) functions in digital environments. Topics coveredinclude search engine optimization, pay-per-click advertising, email marketing, big data, digital/social media analytics, social media management, content strategies, and mobile marketing. Through online module sessions, class assignments, discussions, andsimulation project, students will be able to implement an integrated digital media campaign. Attention will also be given to working knowledge of the digital analytics tools for creating, managing, executing, and evaluating digital strategies | |||||||||
| ISS3290 | Introduction to Big Data Analysis | 3 | 6 | Major | Bachelor | English | Yes | ||
| Understand the genesis of Big Data Systems • Understand practical knowledge of Big Data Analysis using Hive, Pig, Sqoop • Provide the student with a detailed understanding of effective behavioral and technical techniques in Cloud Computing on Big Data • Demonstrate knowledge of Big Data in industry and its Architecture • Learn data analysis, modeling and visualization in Big Data systems | |||||||||
| LIS2001 | Introduction to Library and Information Science | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| Discussion of the theory and evolution of the modern library, of the informationgeneration, selection, organization, storage, retrieval and of the cultural fun-ctions and social roles of the information centers. | |||||||||
| LIS2004 | Library and Information Center Management | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
| Discussion of the general theory and techniques in the library and information management, including staff, facilites, budgets and activities. | |||||||||
| LIS2005 | Introduction to Information Science | 3 | 6 | Major | Bachelor | 2-3 | - | No | |
| Generation, recording, production, transmission, processing and use of informaiton ; information representations ; efficient processing devices. | |||||||||