Business Administration

This is an introductory course to the management of innovation. Core topics covered in this course include market failures faced by innovating firms, knowledge about the various definitions of innovation and innovative activities, how to search for novel ideas (inside as well as outside of the firms’ boundaries), what tools to use inside and outside of the firm to evaluate promising ideas efficiently and accurately, ways to acquire external financing in case of cash flow constraints, tools to use to increase appropriability of innovations as well as various forms to develop innovations inside and outside of the firm. In examples, cases, and an assignment students work out in practice how to assess the feasibility and desirability of innovation opportunities and how to manage innovation from the first idea to implementing an innovation plan. PREREQUISITES: Basic knowledge of management/business economics, organization, and strategy.

This course focuses on the behavior of individuals and groups in organizations. Students review core concepts and theories from the fields of management and organizational behavior that provide a lens and a framework for analyzing issues relevant to individual and group behavior in organizational contexts. Throughout the course, students discuss and critique these concepts to explore their contributions in helping us understand organizational behaviors.

Plagiarism, currency trading scam, doping in sports, money fraud, emission testing scandal, or sexual harassment are all related with “ethics” and ethical violations. This course presents methods and concepts of ethical decisions. This course focuses on the most important lessons in business ethics with every lesson beginning with a “guiding question” to be answered in the class and ending with a “practice question” to be discussed in groups for applying ethical lesson in practical issues. Corporate visit are arranged to familiarize students with business practices in real world. Text: Howard and Korver, ETHICS FOR THE REAL WORLD; various references and articles. Assessment: class participation, quizzes, individual study, group case study.

This course examines the role of corporate responsibility and encourages students to reflect on their own personal ethical views as they may apply them in complex business situations in culturally specific contexts. The course introduces fundamentals of ethics and responsible decision-making in business and other social contexts in their future professional careers. Students discuss complex analytical skills in evaluating the multifaceted contexts to assist them as future leaders and professionals when coming up with innovative solutions and making individual-level and company-level decisions about the proper courses of action considering ethical behavior, social responsibility, and environmental sustainability. Students apply theoretical knowledge of concepts such as culture of organizations, leadership styles, and corporate governance, when solving real-world cases in culture-specific contexts. Students participate in class discussions and debates, work in groups, and analyze case studies.

This course provides an overview of data management architectures and analytics procedures aimed at organizing, describing, and modeling big data, both structured and unstructured. The course discusses both technical aspects of data management/analytics and topics related to analysis managerial evaluation including how to translate the outputs into meaningful business insights. The course examines topics including relational databases such as OLTP, Data warehouse, and SQL language; big data and NoSQL databases, distributed file system, Hadoop, Spark, and Data Lake concept; data understanding and data preparation; models and statistical techniques applied to Big Data; regression and classification trees; ensemble methods (random forest and boosted trees); logistic regression; supervised artificial neural networks; models' performance evaluation; big data ingestion and management; data preparation and cleaning; machine learning algorithms application; and machine learning model evaluation. The course requires students have a basic understanding of descriptive and inferential statistics and basic computer skills as a prerequisite.

The course covers the basic principles and methods of financial engineering, the conceptual tools and substantive tools that financial engineers must possess, and the use of financial engineering principles and methods to solve financial problems in practice, which lays a theoretical foundation for future practical work or research. In the financial market, both enterprises that need financing and financial investors face two basic problems: financial product pricing and investment risk management. This course focuses on these two major issues: risk portfolio model based on utility theory and capital asset pricing model; option futures pricing model based on risk-free arbitrage equilibrium.

This is a management professional course in the international marketing behavior of enterprises. The course explores the basic theory and knowledge of international marketing systematically to understand of the current trend of development, in in order to lay a foundation for future practical and research work in related fields. 

The basic content of the course consists of five parts. The first part is the international marketing concept, namely, international marketing understanding, task and challenge. Next is the analysis of the international marketing environment, including two chapters, namely the analysis of the international marketing environment, international marketing research. Then the course examines international marketing strategy planning: international marketing strategy and plan, international market segmentation and entry, and international sales competitive strategy. Students explore international marketing mix strategy: product, price, distribution and promotion strategies respectively. Finally, the course looks at international marketing organization and control. 

This course includes both lecture and class discussion.