Marketing philosophy and concepts, marketing plans, marketing strategy for business growth. Market opportunity analysis, evaluation of market attractiveness. Determination of marketing programs and effective marketing control.

Concepts and issues of utilizing accounting information for effective business management decision making. Product costing and its role in strategic decision making. Cost-volume-profit analysis. Planning and control, budgeting, responsibility accounting, balanced scorecard, performance measurement and evaluation. Roles of relevant information for making effective non-routine managerial decisions.

Concepts and issues of utilizing accounting information for effective business management. Analysis of the role of accounting in product costing, costing for quality, budgeting and profit planning, reporting, monitoring, performance evaluation and control of human behavior. Roles of relevant information for making effective non-routine managerial decisions.

The course is an introduction to concepts, techniques and tools for analysis of organization’s operational capabilities, which can be applied in both manufacturing and service organizations. The course provides a holistic view of the operations processes in order to improve productivity, quality and customer value.

The significance of retailing in a distribution channel, i.e. retailing opportunities, modern retail organizations, new technologies in retailing, and the bargaining power of retailers. The planning, organizing, and controlling of retail organizations as well as the relationships of retailers and other players in the supply chain.

The processes that lead to successful new product development; including opportunity identification and selection, concept generation of new products and services, attribute analysis, concept evaluation, sales forecast and financial analysis, design and development stages, product use and market testing, and launch management.

Basic concepts of the marketing research processes including problem definition, research questions, data collection, analytical techniques, and the presentation of research results.

Integrated marketing communication plans. Roles of marketing communications and marketing plans. Marketing objectives and communication objectives. Communication budget planning. Major characteristics of communication mix elements: advertising, direct marketing, public relations and publicity, sales promotion and personal selling. Evaluation of integrated marketing communication plans.

Characteristics of services, comparison of marketing for services and for products, consumer behaviors for services, factors for assessing service quality, and the applications of marketing mix strategies for services.

The analysis of concepts, issues, and methods involved in the marketing of products across national boundaries. Emphasis is placed on distinctive opportunities and constraints that are encountered in an international business environment. International marketing strategies and international marketing management techniques.

The development of brand strategies to build and manage brand equity, which involves designing and implementing brand elements and brand marketing programs, measuring and interpreting brand performance, and growing and sustaining brands over time.

The course is a study of transportation systems and management, warehousing, procurement, materials management, distribution, customer service, distribution network design and the integration of logistics activities, and laws and regulations as related to logistics and international trade.

This course covers digital commerce implementation with the focus on marketing strategies. It is undeniable that consumer behaviors have changed rapidly since the coming of age of digital commerce. The course presents the theoretical and strategic frameworks on digital commerce marketing including the implementation. It also explores the many dimensions of measuring the return on digital commerce marketing investment both financially and strategically.

The application of marketing theories in problem solving, planning, policy formulation, strategy and decision-making in marketing, using case studies.

A framework for properly valuing fixed income securities is developed. The valuation frameworks in consideration of the term structure of interest rates and the value of fixed income securities with complex structures and embedded options including callable and puttable bonds, mortgage-backed securities, asset-backed securities and convertible bonds. Methodologies for valuing interest rate futures, options on fixed income securities and interest rate caps and floors.

The theoretical and working knowledge of derivatives analysis using mathematics and numerical examples in order to improve understanding in derivatives. Introduction to the different types of derivatives: futures, forward, swaps and options. The concept of trading and hedging strategies using derivatives.

Financial economic theory and modeling techniques as an integral part of mathematical risk management. Mathematical models used for risk management and financial derivatives, the arbitrage-free principle, single-period and multi-period valuation models, valuations of exchange-traded options, application to valuation of uncertain cash flow streams, complete and incomplete models and applications to sophisticated management of risk and insurance products.

Types of securities; sources and types of information used in investment analysis; methods and principles of investment decisions; basic principles and methods of securities and portfolio management of both personal and institutional investment.

Financial assets; financial markets, globalization, and the derivatives markets; financial intermediaries and recent developments in financial markets; depository financial institutions; central banking and monetary policy; insurance companies; investment companies and pension funds; determination of financial asset prices and interest rates; general level and structure of interest rates; structure and workings of primary and secondary markets; markets of government securities; private bond markets; stock markets; futures markets; options markets; swaps.

This course is designed to introduce students to the area of behavioral finance. The topics covered in this course are standard finance versus behavioral finance, utility theory, Efficient Market Hypothesis, anomalies, limits to arbitrage, prospect theory, mental accounting, psychological biases, cognitive biases, heuristics, and style investing such as value versus growth investing and momentum investing. This course will help develop the students’ knowledge and understanding of empirical research in behavioral finance and several well-known style investing. In addition, this course will help students be able to recognize systematic errors and biases in investors’ judgment and investment decision-making, and subsequently to avoid those biases in investment decision-making.

The main purpose of this course is to provide a basic knowledge for implementing common financial models in Excel and in DecisionTool Suite software. This course covers standard financial models in the areas of corporate finance models, portfolio management models, options pricing models, fixed income management models, Monte-Carlo simulation techniques. In this course, the students will be provided clear and concise explanations for the implementation of the various financial models.

Explores the concepts of creating proposals for project feasibility, business expansion, product line expansion and new business development; covers the steps of a feasibility study, mainly: technical, economic, financial, and management aspects, including preparation and presentation.

Problems in business finance; problems in financial management, investment planning, sources of funds; and dividends; with emphasis on the application of theories and financial techniques in problem-solving using case studies.

Special and contemporary topics in business determined and announced by the School before the beginning of each semester. Prerequisite: At the instructor’s discretion

Teaches concepts and implications of various quality management philosophies coupled with tools and techniques, which include: quality control, quality improvement, quality assurance, and the integration of quality management in an organization.

Concepts and theories used throughout the project management cycle, including selection activities, definition, initiation, planning, execution, monitoring, control, completion, and post-implementation review.

Provides concepts and tools needed to efficiently and effectively manage the flow of information, materials, and money in the network of customers, suppliers and manufacturers, topics include: demand forecasting methods, inventory control, transportation operations, scheduling, fleet dispatching approaches, supply chain network design, procurement, sourcing, auctions management, supply chain contract and collaboration.

The study provides concepts and tools for strategic supply chain management. The course will cover modern strategies in supply chain management, inventory control and management, demand forecasting methods, strategic supply chain contract and collaboration, strategic sourcing and procurement, strategic supply chain network design, and modern digital technology for supply chain management such as IoT, blockchain, and artificial intelligence system.

The course is a study of transportation systems and management, warehousing, procurement, materials management, distribution, customer service, distribution network design and the integration of logistics activities, and laws and regulations as related to logistics and international trade.

Explores the concepts of creating proposals for project feasibility, business expansion, product line expansion and new business development; covers the steps of a feasibility study, mainly: technical, economic, financial, and management aspects, including preparation and presentation.

The course develops learners’ mindset and skill for managing a business opportunity in order to turn themselves into an entrepreneur or in developing new venture in the digital age. The focus is on the application of modern digital startup’s tools for innovation-driven entrepreneurship such as lean startup’s tools, design thinking, disruptive business model, unit economics, pitching technique, story telling, and fund raising, etc. The course is designed to be hands-on project-based learning with practical outcomes so that it is seed-fundable from angel investors.

Special and contemporary topics in business determined and announced by the School before the beginning of each semester. Prerequisite: At the instructor’s discretion

A comprehensive analysis of contemporary Business Intelligence (BI) tools and techniques used in managerial decision-making. This course will also emphasize “Marketing Intelligence”, which is defined as the BI practice of extracting and analyzing business data for accurate decision making in determining market opportunities relevant to the enterprise. Many BI techniques covered in this course include Decision Support Systems (DSS), discrete event simulation modeling, social media analytics, knowledge management, business performance management, expert systems, and how these tools and techniques are related to other types of information systems. Students will develop knowledge on various BI enabling software packages with some hands-on capabilities.

Since big data promises to turn business data into actionable information, this course will cover a comprehensive analysis of various data mining tools and techniques in the context of most common business application such as sales, marketing, and customer relationship management. These data mining techniques include data manipulation, data exploration, pattern recognition, Neural Networks, Decision Trees, Cluster analysis, Sequence analysis, Association Models, Two-stage modeling, and predictive modeling etc. The focus of this course is hands-on learning of how to use non-statistical (algorithm-based) techniques to solve business problems.

The primary objective of this course is to develop skills in quantitative modeling of business problems and opportunities and management science methods. Students are expected to i) learn how to work with data for decision analysis, ii) create sophisticated spreadsheet modeling using Microsoft Excel Solver in various decision-making situations such as resource allocation, distribution, production planning and scheduling, networking, etc., and iii) gain insights into verifying, validating, interpreting and implementing decision

This course provides a complete introduction to the area of design and system thinking. Design thinking is a methodology of problem solving that enables innovative solutions. The objective of design thinking is to design and remodel business models, business processes, and products to generate value for stakeholders, customers, and users. This approach has been used by companies such as Apple and IDEO.

The Agile approach has become very critical in technology and innovation project management, recognized by companies such as Cisco, IBM, and Google. This course covers Agile principles in IT project management. After finishing this course, students should be able to apply agile principle to manage IT projects or other types of projects in organizations. This course also covers Agile frameworks such as XP, Lean, and KANBAN. This course prepares student to take the PMI Agile Certified Practitioner (PMI-ACP®) which is the certification offered by PMI as the industry standard certification for Agile practitioners.

Project management is the most important skill for any IT implementation. This course covers all elements of project management including scope, cost, time, quality, risk, human resource, procurement, communication, stakeholder, and integration management. Another objective of this course is to prepare students to pass the Project Management Professional (PMP®) certification examination. The content of this course is based on a Guide to the Project Management Book of Knowledge” (PMBOK® Guide). This course will be taught by an instructor who holds PMP certification.

Design Thinking has been introduced as an innovative, holistic approach to thinking, strategizing, and approaching problems using a designer’s sensibility to meet user needs and requirements and is viewed as a practice-oriented paradigm integrating the mindset and the toolset and contributing to success in industrial innovation. Lego Serious Play (LSP®) method is a facilitated thinking technique and experimental process designed to solve business problem and enhance innovation and business strategy by engaging participants through Lego play. The proposed technological data-driven design approach incorporated with Design Thinking and LSP® method can serve as a framework or blueprint for structuring strategic thinking for emerging technology initiatives such as Big Data, Business Intelligence, Analytics, and AI. It outlines 5 areas that form the building blocks or spaces of the business strategy including Problem Space, Data Space, Analytics Space, Technology Space, and User Space.

This course covers digital commerce implementation with the focus on marketing strategies. It is undeniable that consumer behaviors have changed rapidly since the coming of age of digital commerce. The course presents the theoretical and strategic frameworks on digital commerce marketing including the implementation. It also explores the many dimensions of measuring the return on digital commerce marketing investment both financially and strategically.

This course focuses on the application of knowledge in the field of management and marketing. By using the knowledge and tools to manage and analyze the market. Problems relating to the commercial use of digital technology. Whether it is technology, management, marketing and legal regulations.

Special and contemporary topics in business determined and announced by the School before the beginning of each semester. Prerequisite: At the instructor’s discretion

The development of brand strategies to build and manage brand equity, which involves designing and implementing brand elements and brand marketing programs, measuring and interpreting brand performance, and growing and sustaining brands over time.

The study provides concepts and tools for strategic supply chain management. The course will cover modern strategies in supply chain management, inventory control and management, demand forecasting methods, strategic supply chain contract and collaboration, strategic sourcing and procurement, strategic supply chain network design, and modern digital technology for supply chain management such as IoT, blockchain, and artificial intelligence system.

This course focuses on the application of knowledge in the field of management and marketing. By using the knowledge and tools to manage and analyze the market. Problems relating to the commercial use of digital technology. Whether it is technology, management, marketing and legal regulations.

Integrated business strategy management with consideration of all business functions in order to achieve organizational goals. Hands-on applications of concepts and tools through business simulation such as production planning, distribution management, location selection, marketing and financial management.

Design thinking is an approach of problem solving that relies heavily on creativity. Design thinking integrates both divergent and convergents thinking to create solutions to solve problems. This approach has been adopted by innovative companies such as Apple and IDEO to come up with new product, process, or business model. Design thinking encourages people to come up with “out of the box” solutions. This course covers both strategy and implementation of design thinking in an organization.

The course develops learners’ mindset and skill for managing a business opportunity in order to turn themselves into an entrepreneur or in developing new venture in the digital age. The focus is on the application of modern digital startup’s tools for innovation-driven entrepreneurship such as lean startup’s tools, design thinking, disruptive business model, unit economics, pitching technique, story telling, and fund raising, etc. The course is designed to be hands-on project-based learning with practical outcomes so that it is seed-fundable from angel investors.