This course covers the basic theory of short-run macroeconomics, as it has developed since Keynes. The basic framework will be the "IS-LM" equilibrium method, in which we analyze the major markets which affect the macroeconomy - labor, output, money and foreign exchange markets by studying positions of general equilibrium in them. This framework will be used to analyze fiscal and monetary policies.

Valuation of cash flow streams (PV of cash flow streams, annuities, and perpetuities); valuation of bonds; valuation of stocks using dividend discount model; capital budgeting decisions (NPV, IRR, payback); capital structure; limits to the use of debt (trade-off models); estimation of cost of debt and equity; WACC; terminal value.

Covers various discrete and continuous probability models and their applications in business problems, estimation and testing of hypotheses, simple and multiple linear regression analysis.

Introduction to management of business processes that produce goods or services: topics include operations strategy, process analysis, queuing systems, inventory management, quality management, process improvement and other important issues.

Communication skill ranks at the top of contributors to job effectiveness, satisfaction and success. Managerial communication gives students an opportunity to improve their ability to communicate efficiently and effectively as a manager and to develop those critical communication capabilities that students will need as a business leader.

Supply chain uncertainty and market fluctuation, information distortion and visibility, supply chain coordination and integration, supply chain incentives, flexibility, and design for supply chain management, supply chain strategies.

The science and technology of informed decision making with focus on optimizing business processes. Spreadsheet decision modeling in Excel will be used throughout. Emphasis on problem formulation, spreadsheet-based solution methods, and managerial insights. Applications to managerial decision problems in diverse industries and functional areas including finance and accounting, human resource, marketing, and operations.

Data plays an increasingly important role in business decision making. This course introduces the key concepts and applications of business analytics in the world of Big Data. Example business problems to be solved analytically include customer relationship management, financial trading, social media marketing, search engine strategy, etc. Hands-on experience with popular data analytical tools will be included.

This course offers essential knowledge and tools for managers of digital business. Topics include e-commerce models, web analytics, Internet marketing, Internet pricing and strategy, web-based personalization, online-intermediaries, etc.

The course intends to introduce students to modern data analysis using R, with an emphasis on business, in particular, financial applications. Main topics to be covered include data exploration methods, regression analysis and time series analysis.

This course helps students develop better analytical skills in approaching strategic and tactical business decisions. Students will learn to derive solutions or conclusions that require critical thinking, quantitative analysis, and strategic reasoning skills. These skills are essential and indispensable for major business decisions.

Concepts and practices of enterprise resource management; enterprise resource planning systems and applications, integrated systems approach to managing major business processes, business information reports and analyses.

This course focuses on concepts and tools to increase operational excellence for the production and delivery of services across various industries including healthcare, ride-hailing, advertising, and various types of financial services.

Financial activities are the most important economic activity in any modern economy. This course introduces the products, processes and new development in the financial industries (banking, insurance, brokerage, operational risks, FinTech, etc). It analyzes the design and the operations of the different distribution channels (branch, ATM, call center, internet, etc) as well as their productivity and performance measurements, and the issues of quality control and improvement, with focus on the recent development and innovation in the financial industry (FinTech). The course is roughly subdivided into three modules on different critical issues in the financial value chains.

The course introduces the business and operations transformation approach by discussing the challenges and learning from real-life business cases. It helps students bridge the gaps between academic knowledge and real-life transformation experiences. Sharing and discussing the differences and similarities of transformation across different industry sectors will be covered.

This course covers basic principles and practices of project management. Special emphases are on project planning, scheduling, and control while addressing both the technical and the social aspects of managing business projects.

Operations Management (OM) deals with the production and delivery of goods and services. Eight applications in OM will be covered in this course. The principal purpose is to expose students to a wide range of good case histories in order to enhance their repertoire and experience in OM.

The course covers basic principles and approaches of computer simulation, and introduce Monte Carlo simulations with Excel and @risk, and discrete event simulation with Arena, focusing on their applications in solving business and operation problems.

This comprehensive course provides a deep understanding of the customer-centric culture strategy and customer journey mapping (CJM). The course equips students with the skills to enhance the end-to-end customer experiences and design the Customer Journey Map. From initial touchpoints to post-purchase interactions, this course explores the critical stages of the customer journey and empowers students to create seamless, personalized, and memorable customer experiences at every step. 

This course offers a unique opportunity for the students to participate in real business projects and to apply what they have learned in other courses in solving business problems. Student teams will work under faculty supervision to solve global operations management related problems and identify improvement opportunities for both service and manufacturing businesses. They will also gain practical experience in planning and executing a real business project.

The objectives of this course are to 1) provide participants with an understanding of the impact of digital and social networks on customer behavior and marketing strategies 2) share conceptual frameworks and analytical tools for formulating and implementing marketing strategies 3) help participants understand best practices in digital marketing through cases, exercises and examples.

This course focuses on two-party negotiations in a wide variety of settings ranging from simple buyer-seller bargains to complex, multiple-issue strategic relationships.