Decision Science + Follow Followed

1.Critically analyze complex business issues and recommend sound solutions, in local and global environments.
2.Demonstrate competency in IT as an enabler of business strategies in all functional areas.
3.Make decisions that meet expectations and requirements of an organization’s stakeholders.

This course involves information law issues and information law basic principle, and from the government, public service, business, civic and main point of teaching of network information and information collection, processing, transmission, organization, service and use etc.and its information rights and obligations and other related issues. Highlights include the information disclosure, information security, information property right and information security problems.

Managerial Economics is concerned with the application of economic principles and methodologies to key management decisions within organizations. It provides principles to foster the goals of the organization, as well as a better understanding of the external business environment in which an organization operates.

Organizational behavior is a discipline aims to search the attitudes and behaviors of individuals and groups in organization. Organizations attach great importance to this discipline for it is proven to be of great help to make them more effective and competitive. Also, how to retain the most inspiring people and motivate employee is another question it concerns. It has developed over one hundred years in the western country though only has a short history in China. It is a fundamental class for students major in management psychology.

This course introduces you to behavioral science theories, methods, and tools and provides opportunities to use and apply them to problems you will encounter in your work and career. The course material will begin with an overview of work and organizations in modern industrial society, and then examine individual behavior, move to behavior in groups or teams, and finally discuss organizations as a whole. It is expected that at the end of the course you will: (a) know something about managerial psychology, (b) know how to learn more, (c) understand the behavioral research process, and (d) develop skills in presenting your ideas in oral and written reports.

This course introduces students the basic concepts, theories, and methods of policy analysis. It also introduces students the background information of Chinese social policies. Students are required to actively participate in class discussions. The final essay requires students to conduct evidence based analysis.

Public Policy is an introductory course that explores policy-making as both a problem-solving process and a political process. This course aims to educate a new generation of public policy-makers and policy analysts, familiarising them with the necessary concepts, theories, methods and principles involved in the formulation and analysis of public policy. The course provides an accessible assessment of a wide range of theories and models from policy cycles, policy transfer, rational choice and socio-economic explanations to multi-level governance, advocacy coalitions and punctuated equilibrium and of their value to policy analysis. The programme draws on the disciplines of political science, economics, law, public management. Students develop a working knowledge of particular aspects of political science theory relevant to understanding how public policies are formulated. They gain a basic understanding of economic approaches to public policy analysis and of the concepts of economic efficiency and equity as societal objectives.

This Course aims at guiding students to describing and modelling non-determinative iphenomenons mathematically, and provides chances for students to practice Set Theory,Calculus and Advanced Algebra.

This course is an introduction to the methods and applications of fitting multiple regression and time series models. For regression models, the primary emphasis is on the method of least squares and its many varieties. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, the use of dummy variables, tests of fit, and the use and interpretation of computer package regression programs. For time series models, topics include auto-regression and moving average models, identification and fitting, forecasting.