Basic course in financial management. Covers business organization, time value of money, valuation of securities, capital budgeting decision rules, risk-return relation, Capital Asset Pricing Model, financial ratios, global finance and working capital management. (ECON-101 or ECON-201) and ACCT-110 and (STAT-145 or STAT-251 or CQAS-251 or MATH-251 or MATH-252 or STAT-205) or equivalent courses.
Management Accounting is one of the principle courses for accounting majors and one of major electives for financial management majors. The aims of this course are to enable the students to understand and master the principles and methods of management accounting; to enable the students to have the ability to view the corporate accounting information and related information from the point of view of management; to enable the students to grasp some of the basic decision-making methods and some of the basic principles to strengthen internal management and administration.
Management accounting is one branch of modern accounting as same as financial accounting. Management accounting is a decision support system that focuses on internal management. From the reality of economic life, the basic theory and method of management accounting is of great significance for managers. Management accounting can provide a lot of valuable data and information for enterprise managers. These data can be used not only for planning, control, decision-making and evaluation, but also for improving service quality and customer value. Management accounting is prerequisite knowledge for managers.
To provide a thorough introduction to the discipline of macroeconomics, including a descriptive and analytical overview of the workings of a modern economy at the macroeconomic level where aggregates such as national income, unemployment and inflation are the focus of attention.
By the end of this course, students should have a knowledge and understanding of analytical methods, both theory and model based, and the relevance of different theoretical approaches to public policy and business problems. Prepare students to further study the intermediate economics and other economic and management courses, improve their ability of independent learning. So that students can use appropriate method to study and solve economic problems in economic and social development.
The system of this course includes: introduction to macroeconomics, unemployment and inflation, real economy in the long term, currency and price in the long term, short term economic fluctuations, the macroeconomic policy, macroeconomics in the open economy. Main points, emphases and class hour of this course are shown in the table below.
“Financial Accounting” is a specialty basic course of information management and information system major. Through this course, students should be familiar with basic principles of accounting, understand the process of preparing financial statements and the methods of analyzing financial information, gain knowledge of the role of accounting in micro- corporate management and macro- economic management. After studying this course, students should gain basic ability to read and analyze financial reports. The key content of this course include: 1. Accounting information for decision making; 2. Basic financial statements; 3. Accounting cycle: capturing economic events; 4. Accounting cycle: accruals and deferrals; 5. Accounting cycle: reporting financial results; 6. Merchandising activities; 7. Financial assets; 8. Inventories and costs of goods sold; 9. Plant and intangible assets; 10. Liabilities; 11. Shareholders’ equity; 12. Financial statement analysis.
Computer-based Data Analysis
The course is a basic computer skills class for the business professional undergraduate students, on the basis of master the basic business theories and methods, emphasize that develop students ability of business analysis and solve business problems by using specialized software, it enables students to deeply understand the role in supporting of the business data analysis for management and decision-making, and lay a good foundation for the study of follow-up courses and solve practical problems.
The course content include 9 chapters: Excel basic skills, use Excel charts, use Excel statistical tools, Excel data management, Excel Pivot Table, use Excel Scenario analysis to assumption analysis, use solver to enhance decision-making, financial analysis in loans and investment, create data analysis model.
Global Business Environment
Being an informed global citizen requires an understanding of the global business environment.Organizations critical to the development of the global business environment include for-profit businesses,non-profits, governmental, non-governmental, and supranational agencies. This course introduces students to the interdependent relationships between organizations and the global business environment. A holistic approach is used to examine the diverse economic, political, legal, cultural, and financial systems that influence both organizations and the global business environment.
Principles of Marketing
Marketing is a growing and dynamic discipline, which encompasses a broad range of activities and tasks. Principles of Marketing is a foundation course and thus the emphasis will be on learning the basic principles and theories of marketing and applying these theories to several practical situations. Essentially, creating consumer value and satisfaction are at the very heart of modern marketing thinking and practice. Therefore, this course focuses on the relationship between organizations and the consumers, expressed through various marketing mix elements such as, product, price, place and promotion. More importantly, the practical application of the concepts of marketing to entrepreneurship and new venture and small business development is an essential part of this course. In addition, the current articles from popular business periodicals related to various marketing issues will be discussed extensively because these selected articles will bring marketing concepts to life. After the completion of this course the students will be able to study other advanced marketing courses, because advanced courses expand upon the areas covered in this foundation course.
Microeconomics is a specialty basic course for undergraduates majoring in economics or management.
This course is dedicated to enable students to comprehend the study object of microeconomics, microeconomics theories and economic methods, and guide students to analyze and solve practical economic problems using the microeconomics theories and economic methods.
This course is organized into six parts-how markets work, markets and welfare, the economics of the public sector, firm behavior and organization of industry, the theory of consumer choice.
Information Systems & Technology
To be successful in our globally-networked business environment, contemporary management professionals must have a strong grounding in the principles of information and information technology. This course provides an introduction to the field of management information systems (MIS), including the tools and techniques for managing information and information technologies within organizations.
We place a particular emphasis on the nature of systems,the role of information in business processes,the management of data,and the planning of MIS design projects.
Application of statistics is a professional basic course for all majors in School of Economics and Management, the main study of finding law behind the uncertainty of the data. It consists of three parts: descriptive statistics, inferred statistics and commonly used statistical methods. It has become a necessary basic tool for studying economic and commercial problems and plays a key role in cultivating students' research ability. The objectives of this course include: First, through this course to learn to develop students with "data speak" habits, training appropriate design model, the application of relevant software and the ability to explain the results more reasonably; Second, through this course, students can use quantitative analysis in the theory and practice of Economics and Transport Economy; Third, through the study of this course, to enhance students the ability about the country, region, industry, enterprise economic data mining, processing and analysis of decision-making in particular to enhance the ability to explore the root causes or regularity of complex economic problems in the transportation industry with large amounts of data. In short, by studying this course, students can master the application of statistical methods, lay the foundation of skills for future economic management, and transportation economic management.
A survey of operations and supply chain management that relates to both service- and goods- producing organizations. Topics include operations and supply chain strategies; ethical behavior; forecasting; product and service design, including innovation and sustainability; capacity and inventory management; lean operations; managing projects; quality assurance; global supply chains; and the impacts of technology.
This eight-week course explores human performance in the workplace from three distinct levels of analysis. The first level of analysis focuses on factors that influence the choice of behaviors of individuals in the workplace. The second level of analysis focuses on the interface between individuals and groups/teams in the workplace. The final level of analysis focuses on the interface between individual workers, groups of workers, and organizational processes.
Introduction to Electronic Commerce
This course is the specialty basic course of major categories offered for undergraduate students of the school of economics and management. The course puts forward the economic analysis for the generation of e-commerce with the starting point of the development of business activities, and introduces the technical basis of the generation of e-commerce based on the functionality provided by the network information technology, the e-commerce applications, classification, characteristics, management and technical issues that need to be solved through case study, the design of e-commerce systems, the establishment of e-commerce websites, the implementation of e-commerce projects taking business e-commerce as a clue, the environment and trends of the e-commerce development with the clue of dynamics of the development of electronic commerce at home and abroad.
Developing Business Applications
Development of business applications is transforming from programming to integration of software components using application development environments. Students learn the fundamentals of computer programming and applications development through a set of programming exercises that focus on visual development environments and component integration. These exercises expand into a project where students apply concepts of typical development and project methodologies to complete a comprehensive programming assignment.
Database Management Systems
Transforming data into information is critical for making business decisions. This course introduces students to the concepts of data, information and the business database management systems (DBMS) used by modern organizations. Exercises and hands-on projects are used to model the information needs of an organization and implement and query databases using applications such as Microsoft Access and SQL.
Systems Analysis & Design
Today's students want to practice the application of concepts. The course introduces students to balance the coverage of concepts, tools, techniques, and their applications, and to provide the most examples of system analysis and design deliverable available. The textbook also serves the reader as a professional reference for best current practices. This course about systems analysis and design as applied to information systems and computer applications. No matter what your chosen occupation or position in any business, you will likely participate in systems analysis and design. Some of you will become systems analysts, the key players in systems analysis and design activities. The rest of you will work with systems analysts as projects come and go in your organizations. The course will introduce some basic concepts, methodologies, techniques and tools that are commonly applied in this field. This course introduces you to information systems from four different perspectives. You will understand the context for systems analysis and design methods when you can.
Research Methodologies and Innovation Education for Information Management
The subject is a specialty major course for the junior of Information Management and Information Systems. Through the study of the subject, the students can understand and master the general process, methods and criteria of doing research. Therefore, their research efficiency and quality can be improved and their innovation consciousness and thinking can be inspired.
Fourteen topics closely related to research will be taught in the subject, which are Introduction, Identify a Research Topic, Research Paradigms, Research Methods and Technologies, Writing a Research Proposal, Literature Review, Planning a Research Project, References and Citation, Writing a Dissertation, Oral Presentation, Writing a Research Report, Ethical Issues, Management and Execution, Further Research.
Principles of Management
This course is one of the basic courses of undergraduate students who major in economics and management, including 3 credits and 8 hours.
This course is the introductory course for all the management courses. Each chapter should focus on the basic concept, principle, and method of management to enable students to have a general understanding and get a hold. Organizational behavior, strategic management, human resources management and other follow-up courses will be conducted in-depth analysis and application.
This course mainly instructs management and management science, evolution of management theories, plan and strategy, organization, leadership, control, decision, communication, motivation team, innovation of enterprise management and so on and it is based on the basic function of management.
This course adopts research-oriented teaching mode. Students will master basic management knowledge, and apply it to analyzing practical problems. They will have preliminary thinking, skills, and techniques in management.
Operations Research for management
Operations research for management is a compulsory basic course for students majoring in information management. As an important part of management sciences and modern management methods, operations researches being a new and developing course in recent decades, makes researches on optimizing approaches and schedules of all kinds of systems by applying mathematical methods, so as to supply quantitative accordance for decision makers choosing optimum decision. The course introduces fundamental concepts, principles and methods of linear programming, integer programming, dynamic programming, graph theory, inventory theory, queuing theory and network planning. On the basis of emphasizing on establishing mathematical model according to realistic examples, some practical mathematical models and methods in economics and management fields are discussed. Thus, the ability for students of establishing models, solving modes, analyzing model solutions and making economic evaluation are cultivated based on practical problems.
Computer Simulation Technology
This course is a specialty elective course for the undergraduate students of Information management and information systems which focus on the basic principles and modeling methods of the computer system simulation, and the system simulation applications based on MATLAB.
By learning this course, students shall understand the basic theory and basic principles of the system simulation, master the ideas and steps of the system simulation, basic grasp the modeling methods, master the basic instruction and programming of MATLAB language, exercise and improve the ability of system design and analysis with the computer simulation technology to provide the necessary simulation skills for the follow-up courses and graduate design simulation skills.
The course is mainly about the basic methods of system modeling, model handling technology, digital simulation of continuous system, discrete event simulation, basics and application of MATLAB and so on.
Computer Network and Its Applications
"Computer network and application" is a professional backbone course for the undergraduate students majoring in information management and information system, is also a prerequisite required to further research on TCP/IP architecture and network interconnection. This course systematically explains the basic function of computer network system and its system structure, TCP/IP stratification, network performance indicators, Ethernet and high speed ethernet, network routing and transport layer protocols, network application and so on around the basic parts of computer network and system structure, and makes the students understand systematically the basic concepts and working principles of computer network system, be familiar with computer network and the Internet composition, master the basic analysis and design methods of computer network protocol, lay the foundation for further studying follow-up courses and developing cognition of computer network system, designing and applying development ability through the combination of classroom lecture and course experiment.
Technology and Application of Business Intelligence
The target of this course is to enable students to understand the approach and methods of business intelligence systems, recognizing the importance of business intelligence systems in the organization's management and decision-making, through the study of this course requires students to master the core technology foundation for business intelligence - data warehousing the basic concepts of OLAP and data mining, techniques and methods, and be able to be applied to the related fields.
The main content of the courses include Introduction to Business Intelligence, the basic operation of the principle of data warehousing, OLAP principle, data warehouse, the preliminary design of the OLAP, OLAP design, MDX and OLAP data display, data mining concepts.
Data Structures and Algorithms
Data Structures and Algorithms is a specialty major course for students of Information and Computation Science. Students will learn to implement and analyze elementary data structures and the basic complexity classes of algorithms with the aid of strategies such as greedy algorithms, divide-and-conquer algorithms, and backtracking algorithms. This analysis is especially applied to problems in searching, sorting, and parsing.
The focus of this course is on solving computational problems that involve manipulating collections of data. We will study a core set of data abstractions, data structures, and algorithms that provide a foundation for writing efficient programs.
Programming assignments in this course will be implemented using version C/C++ programming language.
Students successfully completing this course will be able to:
Describe, explain, and use abstract data types including stacks, queues, lists, sets.
Implement those data types using both contiguous and linked representations. Contiguous representation mechanisms include arrays and hash tables. Linked representation mechanisms include singly and doubly linked lists and trees.
Implement a variety of algorithms for searching and sorting, including linear search, binary search, insertion sort, selection sort, merge sort, quicksort, and heap sort.
Read and write recursive algorithms.
Understand when recursion is, and is not, appropriate.
Describe the asymptotic performance of the algorithms studied in this course and understand the practical implications of that information.
Internet of Things Technology and Application
Internet of Things is one of the representatives of new information technologies which includes a lot of new information technologies and supports huge industry chain. It is also an information technology industry that many countries are vigorously promoting. This course mainly introduces technology application in Internet of things, the social and economic impact of various information technologies, the architecture technology in Internet of Things system, application of Internet of things in different industries, and the development of new Internet of Things technologies, etc.
Security & Defense of Information Systems
This course is a specialized elective course designed for the undergraduate students majoring in information management and information systems. Teaching goal is to enable students to master the basic methods and techniques, including anti-virus technology, network attacks methods, principles of modern cryptography and information system security protocol applications on the basis of understanding the basic theory of information systems security.
The main contents of this course include: the basic principles of information security, international standards of information security, the basic concept of the virus. Traditional viruses, worms, web script virus, Trojan, anti-virus technology, vulnerability detection, buffer overflow attacks, password attacks, network monitoring, address spoofing, denial of service attacks, botnets and e-mail system security, modern cryptography jargon, cryptanalysis, symmetric ciphers algorithm, public key algorithms, cryptographic communication protocols, digital signatures and digital certificates, message digests, one-way hash function and message authentication codes, digital stamp, Web sites, SSL configuration.
Expert and Decision Support Systems
The subject is for the junior of Information Management and Information Systems. Through the study of the subject, the students can understand and master fundamental theories, developing methods and technologies of DSS (Decision Support Systems) and ES (Experts Systems). Furthermore, the latest evolution of DSS will be introduced.
The subject consists of three parts, which are DSS, ES and the latest evolution of DSS. In the first part, the content to be taught includes seven chapters, which are Generality of Decision and DSS, Structure of DSS, Database System, Model Base System, Human-computer Interaction System, Development of DSS and Experiment of DSS. In the second part, the content to be taught includes five chapters, which are Review of Artificial Intelligence and ES Principle, Knowledge Expression and Reasoning of ES, Production rule-based ES, Development of ES and Experiment of ES. In the third part, the content to be taught includes three chapters, which are Intelligent DSS, DW, OLAP and DM-based DSS and Comprehensive DSS.