For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| AIO2001 | Introduction to Business | 3 | 6 | Major | Bachelor | 1-4 | Artificial Intelligence for Operation | Korean | Yes |
| 1. Course Overview: This course serves as an initial step into the fundamental principles and concepts of business management. Through this course, students gain a profound understanding of management and corporate activities within the modern business environment. Additionally, the course emphasizes the significance of ethical considerations in business, aligned with future management perspectives. 2. Learning Objectives: ● Acquire foundational knowledge of major areas and specializations in business management. ● Establish awareness of various management activities and theories. ● Gain deep insights into future management strategies and their ethical implications. 3. Main Content: ● Basic Principles of Management: Introducing fundamental concepts, principles, and the scope of management activities. ● Financial Management: Providing a foundational understanding of corporate financing, investment decisions, and asset management. ● Marketing: Learning the basic concepts of product, price, promotion, and distribution, along with consumer behavior and market research. ● HR/Organization: Exploring core theories and practical methods related to human resource management, organizational structure and culture, leadership, and teamwork. ● Accounting: Introducing the basic principles and practices of accounting, including financial information provision and interpretation, budgeting, and cost analysis. ● Production Management: Studying the key concepts and strategies | |||||||||
| AIO2002 | Innovation and Social Responsibility | 3 | 6 | Major | Bachelor | 1-4 | Artificial Intelligence for Operation | Korean | Yes |
| 1. Course Overview: This course comprehends the importance of ethical considerations amidst the socio-economic environment of the 21st century due to the advancements in technology such as artificial intelligence (AI), and deeply explores the essence of entrepreneurship from the perspectives of innovation and social responsibility. 2. Learning Objectives: ● Encourages students to discover and recognize their inherent potential as entrepreneurs. ● Understands the impact and significance of entrepreneurship with an emphasis on ethical considerations and social implications. ● Learns the entire process of building and growing an ethics-centered enterprise. ● Discusses in-depth the innovation strategies and risk acceptance in the AI industry as future entrepreneurs. 3. Main Content: ● The Essence of Entrepreneurship: Explores the meaning and significance of entrepreneurship in the modern socio-economic environment, emphasizing the necessary ethical foundation in today's world. ● The Entrepreneur and Ethics: Examines the mindset, actions, and attitudes of an entrepreneur, focusing on ethical decision-making and social responsibility. ● The Birth and Growth of Ventures: Detailed exploration of the journey from business inception to success, emphasizing ethical challenges and solutions. ● Understanding the AI Industry: Identifies the main trends and dynamics of the AI industry. l | |||||||||
| AIO2003 | Accounting and Business Decision Making | 3 | 6 | Major | Bachelor | 1-4 | Artificial Intelligence for Operation | Korean | Yes |
| Accounting is considered the language of business because it plays a role in summarizing a company's activities according to a certain system and reporting information necessary for decision-making. The purpose of this course is to introduce accounting-related fundamental concepts in a way that makes it as easy as possible to understand the business operations of a company. To achieve this goal, the lectures will specifically focus on the following content: · Understanding accounting information, financial statements, and accounting standards. · The relationship between managerial activities and accounting information. · Cost accounting and managerial decision-making accounting. · Utilization of financial statements and accounting transparency. These topics aim to facilitate a comprehensive understanding of a company's financial and managerial activities, enabling students to utilize accounting information effectively for decision-making purposes. | |||||||||
| AIO2004 | Statistics for AI | 3 | 6 | Major | Bachelor | 2-3 | Artificial Intelligence for Operation | Korean | Yes |
| 1. Course Overview: This course covers the basic concepts of statistical methods widely used in the field of business administration. After learning the concepts of probability distributions and the principles of statistical inference, students will study descriptive statistics for summarizing given data, regression analysis for examining relationships among variables, and smoothing and forecasting for time series data. Through this course, students will lay the foundation for AI-based data analysis, including deep learning. 2. Learning Objectives: ● Cultivate statistical thinking to logically approach and solve business problems. ● Understand and apply the statistical principles that underpin AI and machine learning techniques. ● Analyze and interpret complex business data to derive practical insights. ● Develop the ability to make data-driven decisions using statistical methodologies. | |||||||||
| AIO2005 | Business Data Management and Analysis | 3 | 6 | Major | Bachelor | 2-3 | Artificial Intelligence for Operation | Korean | Yes |
| 1. Course Overview: This course aims to teach methods for data collection, organization, analysis, and visualization using spreadsheets and applying these skills to business decision-making. Students will gain an understanding of the fundamental principles of data management and analysis, developing the ability to solve business problems. They will acquire practical skills to support data-driven decision-making in various fields such as accounting, finance, and marketing. The course emphasizes the development of data utilization skills required in corporate environments through a combination of theoretical knowledge and hands-on practice. 2. Learning Objectives: ● To understand the fundamental principles of data collection, organization, analysis, and visualization, and apply these to solving business problems. ● To enhance practical skills by practicing analysis and visualization techniques required for data-driven decision-making using spreadsheets. ● To develop the ability to effectively utilize data to support decision-making in various business domains, including accounting, finance, and marketing. ● To systematically cultivate data management and utilization skills required in data-centric business environments through a combination of theory and practice. | |||||||||
| AIO2007 | Human-Centered Digital Innovation | 3 | 6 | Major | Bachelor | 2-3 | Artificial Intelligence for Operation | Korean | Yes |
| 1. Course Overview: This course integrates fundamental concepts and theories of human motivation, communication, leadership, decision-making, organizational culture, and organizational development with AI-based digital innovation. Students will understand basic theories of human behavior and learn how to effectively implement digital innovation within organizations. Additionally, the course will analyze the impact of AI technology on organizational change and innovation, fostering the leadership and decision-making skills necessary in the era of digital transformation. 2. Learning Objectives: ● Understand and apply fundamental concepts and theories of human motivation, communication, leadership, decision-making, organizational culture, and organizational development. ● Analyze the impact of AI-based digital innovation on organizations and develop effective digital innovation strategies based on this analysis. ● Cultivate the leadership and decision-making skills necessary to lead human-centered organizational innovation in the era of digital transformation. | |||||||||
| AIO2011 | Corporate Financial Management | 3 | 6 | Major | Bachelor | Artificial Intelligence for Operation | Korean | Yes | |
| 1. Course Overview: This course covers the basic concepts and principles of corporate financial management. It introduces modern financial management theories and particularly addresses topics such as capital budgeting, portfolio theory, capital structure theory, dividend policy, working capital management, and corporate mergers, using lectures and case studies to illustrate theoretical concepts and analytical techniques. 2. Learning Objectives: ● Understand and apply the fundamental principles of financial management, including the analysis of financial statements, capital raising, and investment decision-making. ● Develop the ability to make strategic financial decisions related to financial planning and budgeting, dividend policy, and corporate valuation. ● Gain the skills to understand and manage international financial management and risk management techniques, and effectively respond to global business environments. | |||||||||
| CHS2003 | Robust System Design with Big Data Analytics and Artificial Intelligence | 2 | 4 | Major | Bachelor | 1-4 | Challenge Semester | - | No |
| 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 | - | No |
| 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 | - | No |
| 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 | - | No |
| 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. | |||||||||
| IAI2001 | Computing thinking for AI | 3 | 6 | Major | Bachelor | 1-4 | Korean | Yes | |
| Learn problem solving and algorithm design, primarily utilizing Python. It covers fundamental topics such as data structures and processing, computer programming, algorithm optimization and complexity analysis, and enhances your programming and computational thinking skills in the field of AI. Python is a very important language in the field of data science and machine learning, making it a key tool for successful real-world AI projects. | |||||||||
| IAI2002 | Basic programming for AI | 3 | 6 | Major | Bachelor | 1-4 | Korean | Yes | |
| Learn Python's basic grammar, control structures, data structures, functions and modules, file handling, and more. Improve your programming skills by working on a variety of programming challenges and projects using Python. Python is an accessible language for beginners, perfect for learning the basics of programming and developing hands-on skills. These fundamentals are essential in computer science and various software development fields. | |||||||||
| IAI2003 | Introduction to basic math for AI | 3 | 6 | Major | Bachelor | 1-4 | Korean | Yes | |
| Learn the mathematical foundations of the AI field by practicing linear algebra, differentiation and integration, optimization, and more in Python. Utilize Python modules such as NumPy, SymPy, and SciPy to perform mathematical calculations and understand optimization and training of machine learning models. These math skills are essential for developing real-world AI projects and performing data science. | |||||||||
| IAI2004 | Basic math for AI | 3 | 6 | Major | Bachelor | 1-4 | Korean | Yes | |
| This math course, which complements the prerequisite Introduction to AI, covers probability statistics, correlation, probability distribution, estimation/validation, and entropy. You will learn to analyze and model probabilistic data using Python, understand correlations between variables, make predictions using probability distribution models, statistical estimation and hypothesis testing, and the concept of entropy in information theory. These mathematical concepts and tools will equip you with essential skills to solve problems and develop models in data science and machine learning. | |||||||||