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Undergraduate

Business

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

Course & Curriculum
Classification Course Code Course Title Credit Language of Instruction Course Availability
Undergraduate BUS3040 Venture Financing 3 English Yes
This course will use a combination of lectures and case discussions to study entrepreneurial finance. It is targeted to budding entrepreneurs and venture capitalists. Students can learn and discuss the following areas. 1. Valuation of early-stage business opportunity 2. Entrepreneurial financing 3. Venture capital funds 4. Employment in start-ups 5. Exit
Undergraduate BUS3041 Introduction to Entrepreneurship 3 - No
This class is an introductory course intended to provide students with a solid foundation in terms of the vital role played by entrepreneurs and entrepreneurship in the 21st century global economy. Entrepreneurship is approached as a way of thinking and acting, as an attitude and a behavior. Our emphasis is on entrepreneurship as a manageable process that can be applied in virtually any organizational setting. Our principal focus will be on the creation of new ventures, the ways that they come into being, and factors associated with their success. By the end of the semester, you should be able to: •Recognize the entrepreneurial potential within yourself and others in your environment; •Appreciate the role of entrepreneurship within society, at the level of the organization, and in your own personal life; •Understand the process nature of entrepreneurship, and ways to manage the process.
Undergraduate BUS3042 Marketing Data Analytics 3 English Yes
Marketing data analytics teaches how to collect, integrate, clean, and analyze big data from various sources of Internet and mobile communication data, consumer transaction data, and ioT sensor data with the purpose of making optimal marketing decisions. The course includes tools such as i Python and R software, statistical algorithms, and machine learning.
Undergraduate BUS3044 AI and Management 3 - No
This course provides details about how AI (artificial intelligence) affects both managerial decision-making and knowledge circulation processes in firms. AI has been successfully utilized so far in a wide variety of areas in society and firms as well. Especially, AI is showing its astonishing performance in those serious situations in which enormous size of data must be automatically computed very fast, contextual information with extreme complexity and huge volume needs to be dealt with on a real-time basis without human intervention, and high accuracy and precision should be secured with statistical significance and reliability. Therefore, it is no surprise that AI places itself at the core of the recent Fourth Industrial Revolution (4th IR). In this sense, the scale of how much AI has a significant influence on every corner of decision-making and innovation processes needs to be investigated thoroughly. From the managerial perspectives aforementioned, this course studies (1) how AI contributes to improving decision-makers' QoD (Quality of Decision) (i.e., Emotion Mining, Entrepreneurship, etc.), (2) technical aspects of AI (i.e., deep learning, solution search, and cybernatics, etc.), (3) managerial application aspects of AI (i.e., HCI, HRI, BCI, etc.) and (4) societal impacts of AI (i.e., job creation, BOP (Bottom of Pyramid) aids, and appropriate technology, etc.)
Undergraduate BUS3045 Business Analytics and Applications 3 English Yes
This course covers various business applications using statistical techniques and data science-related principles. Most organizations are data rich and information poor. The large volumes of data potentially could reveal useful information in most business contexts. Business Analytics (BA) involves the art of exploring and analysing large quantities of observational data in order to discover meaningful patterns and useful information to support decision makings in various organizations. The primary objective of this course is to introduce students to various statistical/BA techniques available to extract useful information from the large volumes of data that an organization might possess. The course will cover general concepts in the statistics/business analytics, along with widely-accepted key techniques like classification, clustering, and regressions. The focus will be on how the techniques are to be used, and the details of the methodologies will be covered only to the extent necessary to understand when and how each technique can be used. Students will also acquire experience using data/text-mining software tools.
Undergraduate BUS3046 Employment Relations 3 - No
This course is designed to deepen our understanding of the main paradigms, systems, and approaches regarding employer-employee relations. We will cover a variety of theories and cases to understand how workers, worker's organizations (e.g., unions), employers/management, and governments respond to the changing environment. Some specific objectives are: ■ Develop a theoretical understanding of employer-employee relations and workforce management systems ■ Compare and contrast labor and employment relations in the Western countries and South Korea ■ Explore and analyze the environment, participants, process, outcomes, and impacts of workforce management systems ■ Improve professional competencies such as critical thinking and problem solving skills, verbal and written communication skills, and leadership, team and interpersonal skills
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