This course is designed to prepare business managers with both accountancy and business management skills essential in today’s complex business environment. The course’s learning objectives reflect that: modern accounting with the advent of information technology is no longer simply the recording of historical facts but the assembly and management of accounting information and its distribution to both external and internal users; this information facilitates the decision processes necessary to compete in today’s increasingly complex business world and; an accounting information system capable of providing relevant, timely and reliable information must be administered by knowledgeable, competent management skilled in both accountancy and business management.

This course introduces fundamental quantitative analysis theories, such as basic probability theories and descriptive statistics. 

The course will focus on the statistics theories and will emphasize on the application of statistical packages to solve a variety of management issues, such as primary data processing techniques, various forecasting methods, inventory control models, and quality control models. 

After completing this course, you are expected to use Excel to solve these common management problems as well as constrained optimization problems. You will gain some experience in applying these statistical tools to real world problems by collecting, processing, and analyzing your own data in team assignments and a case study.

This course provides a comprehensive perspective on leadership and management, from both a historical and current perspective. The link between management and leadership is examined and the application of leadership theory is explored.

This course provides a general survey of psychology, its theories and main concepts, including the relationship between brain, nervous system and behavior. Other topics introduced in the course include intelligence and memory, personality, and research methods.