For more details on the courses, please refer to the Course Catalog
Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
---|---|---|---|---|---|---|---|---|---|
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. | |||||||||
ISS3223 | Cyber Security | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
A broad overview of security threats and defenses, security systems and functionalities, as well as current security practices. Includes homeworks and in class exercises to provide practical experience working with such systems. | |||||||||
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. | |||||||||
ISS3226 | The 4th Industrial Revolution Technologies and Practices | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
Standing on the brink of a technological revolution, mankind is facing the transformation unlike anything has experienced before. The first Industrial Revolution used water and steam power to mechanize production. The second Industrial Revolution utilized electrical power for mass production. The third Industrial Revolution used electronics and information technology to establish connectivity. Now the fourth Industrial Revolution is building on the third by integrating futuristic technologies with much greater scope and velocity. Compared to previous industrial revolutions, the fourth is evolving at an exponential speed with complexity. This course will discuss about the 4th Industrial Revolution technologies and practices with regard to potential changes and impacts on our industry and society. Course topics for primary technologies and practices include data science, machine learning, artificial intelligence, intelligent robots, internet of things, 3D printing, big data, smart factory, and cloud computing in the domains of manufacturing, logistics, wholesale, and retail industries. Each topic will discuss practical and innovative applications. We will consider challenges and opportunities for the forthcoming totally different environments that the 4th Industrial Revolution will bring in as an enormous flow. We need to strategize the forces of disruption to shape our future to constructive and productive directions. | |||||||||
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. | |||||||||
ISS3266 | Digital Strategies in Media and Communication | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
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 | |||||||||
ISS3280 | Content Business in Metaverse | 3 | 6 | Major | Bachelor | 1-4 | - | No | |
This class analyzes cases of content creation and business model in metaverse, which are actively used in business recently, and conducts basic research on them. In this class, students experience various metaverse platforms to analyze the content industry, and practice on the metaverse platform. In addition students broaden their perspectives on various domestic and overseas business models and content industries related to metaverse, and discuss the direction of the media industry. | |||||||||
ISS3282 | Digital Technology and Strategic Management | 3 | 6 | Major | Bachelor | - | No | ||
This course focuses on the understanding and application of strategic planning tools (e.g., technology roadmapping) to generate strategic plans in line with the future directions of digital technologies. The course also covers the knowledge foundations of emerging digital technologies and businesses (e.g., artificial intelligence (AI), blockchains and cryptocurrencies, FinTech and the Internet of things (IoT)). Moreover, the course offers students with frameworks to analyse the competitive and collaborative strategies of firms (e.g., start-ups and incumbents) revolving around digital tech-driven opportunities. | |||||||||
ISS3289 | Fundamentals of Programming Languages | 3 | 6 | Major | Bachelor | - | No | ||
This course introduces the underlying fundamental concepts in various programming languages. The topics are organized around the central area of data objects and types, abstraction mechanisms, sequence control and data control, storage management, syntax and operation environments from the user, implementor, or designer's view. Also, the major programming languages such as imperative language, logical language, functional language, and object oriented languages are explored. | |||||||||
ISS3290 | Introduction to Big Data Analysis | 3 | 6 | Major | Bachelor | - | No | ||
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. | |||||||||
LIS2007 | Information Retrieval | 3 | 6 | Major | Bachelor | 2-3 | Korean | Yes | |
This course introduces concepts and principles relevant to information storage, classification and indexing, and retrieval. | |||||||||
LIS2008 | Information Behavior | 3 | 6 | Major | Bachelor | 2-3 | - | No | |
This course provides cognitive and psychological theories and approaches to understanding human information behaviors. It examines techiques to apply theories for developing information services and systems. |