Business Administration

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. 

This course reviews organizations and workplaces with a focus on how to enhance relationships with the organizations. Organization Theory is a branch of social sciences that is particularly interested in the why, how, and when multiple individuals join efforts to reach a common goal. It is a multidisciplinary subject drawing from disciplines such as arts and humanities, educational sciences, psychology, evolutionary biology, economics, and politics. These multiple lenses through which we view organizations make Organization Theory a fascinating and relevant topic to explore and examine at any stage of your study program. The main topics covered in this course are organization-environment relations, organizational design types and culture, leadership development, HRM and well-being, and managing diversity and inclusion at work.

This course reviews issues associated with the strategic sourcing of information systems. The main focus is to understand and evaluate different sourcing strategies for information systems. The course describes various sourcing solutions for development and maintenance as well as the management of information systems. The aim is to equip students with the necessary knowledge in order to be able to assess and evaluate different sourcing strategies for information systems. Some of the issues discussed are: What solutions are there for a company that wishes to implement information systems? What advantages and disadvantages do the different solutions involve? What makes one solution fit better than the other?