Postgraduate Courses
EEMT
Engineering Enterprise Management
- EEMT 5120Operation/Production Management[3-0-0:3]DescriptionThis course covers production planning, production system design, and production control. Topics include MRP, JIT, forecasting techniques, inventory control, shop floor control and scheduling.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Define the role of Production/Operations Management in any organization.
- 2.Recognize the importance of effective production and operations strategy to an organization.
- 3.Identify key concepts and issues relevant to the production planning, and operations of manufacturing/service firms.
- 4.Describe how JIT and MRP systems are used in managing operations.
- 5.Apply mathematical forecasting techniques.
- 6.Develop quantitative and qualitative skills for the analysis of the operations problems.
- EEMT 5160Transportation and Logistics Management[3-0-0:3]DescriptionThis course covers models and techniques for various planning and operational problems in logistics and transportation systems. Topics include logistics operations, distribution planning, vehicle routing, crew scheduling, network design, traffic equilibrium, and fleet management.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Plan and schedule logistics operations in different modes.
- 2.Use mathematical models to optimize logistics operations.
- 3.Calculate and analyze traffic equilibrium.
- 4.Identify the challenges and opportunities in the logistics industry.
- EEMT 5220Six Sigma Quality Management[3-0-0:3]DescriptionThe course covers the various concepts and principles of quality management including Total Quality Management (TQM). First, basic quality engineering methods and tools will be covered before introducing the framework of TQM. TQM as a corporation reengineering tool for the simultaneous improvement of quality, cost, customer satisfaction and time to market will be discussed. Following this, different techniques and methodologies of implementation of TQM that include Six Sigma, SPC, ISO 9000, reliability, concurrent engineering, QFD, and design of experiments will be covered.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Apply basic quality engineering methods.
- 2.Use Six Sigma tools for the simultaneous improvement of quality, cost, customer satisfaction and time to market.
- 3.Implement Six Sigma using DMAIC methodologies.
- EEMT 5260Product Development Management[3-0-0:3]DescriptionThis course covers different aspects of product development management. Topics include innovation management, techniques for idea generation, QFD for incorporation of customers' needs in product design, and organizing and managing the development team. Projects and business plans will be carried out in the course.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Examine a variety of product-development related activities.
- 2.Analyze key development processes and managerial tasks.
- 3.Describe the user-centered design process for products and services.
- 4.Protect product ideas and designs.
- 5.Explore methods for systematic innovation.
- EEMT 5300Global Supply Chain Management[3-0-0:3]Exclusion(s)IEDA 4410, ISOM 5730DescriptionThe course introduces the basic concepts and principles in global supply chain management, provides insights into issues involved in the design and planning of a supply chain, and equips students with fundamental skills for analyzing and managing supply chains. The topics to be covered in the course include supply chain uncertainty and risk management, information distortion, supply chain coordination and integration, logistics networks and outsourcing strategy.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Apply conceptual frameworks to identify the key supply chain issues in a global firm.
- 2.Use inventory control and techniques to efficiently manage inventory and reduce inventory-related costs.
- 3.Analyze uncertainty and risk faced with a real supply chain firm and know how to reduce uncertainty and manage risk.
- 4.Design supply chain contracts to align the interests of each party of the supply chain and improve the performance of the entire supply chain.
- 5.Identify the key issues which lead to effective partnering relationships and develop the outsourcing strategies for a firm.
- 6.Evaluate the effectiveness of supply chain management for a firm and propose solutions for improvement.
- EEMT 5360Enterprise Systems for Digital Transformation[3-0-0:3]DescriptionThis course focuses on using enterprise systems (ERP, CRM, and SCM etc.) and contemporary technologies (cloud computing, AI, and analytics tools, etc.) to support a business organization’s digital transformation strategy and initiatives. This course also introduces the concepts and practices of enterprise resource planning and management through business case studies and learning of the SAP system applications for discussing and developing integrated business solutions.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Compare the strategic values and limitations of enterprise systems.
- 2.Discuss the basic concepts and practices of process-oriented management in a global, competitive environment.
- 3.Define the skills and knowledge to successfully implement an enterprise system in organizations.
- 4.Identify the new development of ERP software and applications for facilitating e-business.
- 5.Demonstrate examples of business process integration through the use of ERP core applications and modules.
- 6.Identify the tangible benefits of enterprise integration for decision making using ERP in a simulated environment.
- EEMT 5500Applied Probability, Statistics and Data Analytics[3-0-0:3]DescriptionThe course introduces the basic concepts of probability including conditioning and Bayes formula. In-depth study on a variety of widely used common distributions such as Binomial, Poisson, Exponential, LogNormal, Pareto, etc. will be covered to deepen our understanding of randomness. Building on the understanding of probability and random samples, the course teaches three important statistical tools: estimation, hypothesis test and regression. Excel Data Analysis ToolPak will be taught and used in class. However, understanding the core statistical concept makes adapting to other tools easy. The focus of this course is application and real world skill, however a minimal amount of mathematics will be needed to understand the concept and theory.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Define elements of probability.
- 2.Analyze randomness by using general probability theory.
- 3.Identify a range of widely used special random variables.
- 4.Explain and apply limiting theorems in probability.
- 5.Describe and summarize data sets.
- 6.Describe distributions of sampling statistics.
- 7.Analyze data sets statistically by using parameter estimation, hypothesis testing and regression.
- EEMT 5510Engineering Economics and Cost Management[3-0-0:3]DescriptionThe course has two parts. The first part focuses on applications of microeconomics to engineering and managerial decision making. Topics in this part include basic cash flow analysis of capital investment, net present value, rate of return, capital budgeting and cost accounting. The second part focuses on cost management for engineering enterprises. Topics in this part include basic concepts of uncertainty and risk, decision trees, cost measurement and cost hedging.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Make a trade-off between revenue and cost in engineering design.
- 2.Calculate and interpret the equivalence for a given cash flow.
- 3.Evaluate the economic merit of an engineering project.
- 4.Compare and make selections among multiple engineering projects.
- 5.Handle uncertainty and risk in engineering analysis.
- 6.Analyze and evaluate a real engineering project.
- EEMT 5520Service Operations Management[3-0-0:3]DescriptionThis course will expose students to the diversified service industries and equip them with knowledge and skills of improving productivity and quality of service firms. Students will learn the latest concepts, techniques, and methodologies in service system design, service level, quality of service, service product life cycle, measurements, design for serviceability, analysis, productivity in services, client satisfaction, training, and services logistics. They will also learn how to apply the knowledge to decision making in planning, organizing, and managing service operations.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe and evaluate a broad range of activities in planning, organizing and controlling service operations.
- 2.Design, measure, and improve service quality, customer experience and satisfaction.
- 3.Discuss specific customer service problems and challenges in service operations.
- 4.Competently diagnose different operational issues in the service delivery process and service encounter.
- 5.Formulate and evaluate the function of the service operations management and use the case study approach to illustrate its contribution to the competitive service strategy.
- 6.Develop or advance a new service business concept or idea and its corresponding operations.
- EEMT 5540IT for E-Commerce Applications[3-0-0:3]Previous Course Code(s)EEMT 6000DDescriptionThis course will introduce E-Commerce business models and some core functions that drive E-Commerce operations. The bulk of the course focuses on learning the foundations of these technologies and methods to develop IT applications to implement them. Starting with the basics of internet communication and security, we shall see how they apply to applications such as search, demand forecasting, and customer acquisition. The students will learn how to develop simple programs (in python) covering important techniques such as graph search, data processing and visualization via dimension reduction, regression, clustering and classification. Case studies will be used to introduce the real-world application of these tools.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Describe and differentiate between the types of E-Commerce models.
- 2.Understand and implement web-based sessions and secure communications.
- 3.Collect information from the internet via crawling.
- 4.Implement basic analytical tools such as dimensionality reduction, regression, classification and clustering for E-Commerce applications.
- 5.Identify basics of visualizations for data processing and communication.
- EEMT 5550Blockchain and Financial Technologies[3-0-0:3]Previous Course Code(s)EEMT 6000EDescriptionThis course will focus on fundamental issues relating to financial technologies. We will first cover the classical concepts and instruments of financial markets and how they work. We will then introduce the fundamentals of blockchain technologies, particularly the consensus mechanism design and implementation. Then we will talk about cryptocurrencies, especially ERC20, and their applications, including staking, lending/borrowing, stablecoins, trading (exchange, derivatives, etc.). We will also talk about smart contract programming and securities issues in both coding and design of those financial systems.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Master basic knowledge of how financial market works.
- 2.Master basic knowledge of blockchain technology.
- 3.Describe how financial engineering can be applied in reality.
- 4.Analyze simple real financial engineering problems qualitatively.
- 5.Solve certain real financial engineering problems quantitatively.
- EEMT 5560Integrated Business Solutions[3-0-0:3]Previous Course Code(s)EEMT 6000FExclusion(s)ISOM 5420DescriptionThis course will use an integrated simulation game as a major learning tool to illustrate how strategic and operational decisions should be made in a competitive business environment. Students will learn to integrate and align key decisions in different business functions to simultaneously achieve a set of defined performance objectives of a company by evaluating decision alternatives and tradeoffs as well as optimizing the resource utilization.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Relate the business strategy and execution for a company in a competitive market.
- 2.Monitor and evaluate the business results with proper performance measurement models and metrics, such as AHP, DEA, and SCOR, etc..
- 3.Identify the strategic decisions to achieve higher returns and market dominance.
- 4.Explain a broad spectrum of business concepts and business functions.
- 5.Demonstrate how to run a business profitably through a simulation game.
- 6.Explore and identify the cause and effect relationship between the drivers and business performance.
- EEMT 5990Problem Solving for Engineering Managers[1-0-0:1]DescriptionThis course aims to stimulate new ideas and provide opportunities for group bonding, team and self development, based upon participative learning. It enhances students on team management, communication, organization, planning, decision making and outcome. Graded P or F.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Develop team management, communication, and networking skills.
- 2.Stimulate new ideas, and solve complex problems.
- EEMT 6000Special Topics in Engineering Enterprise Management[3-0-0:3]DescriptionSelected topics of current interest in Engineering Enterprise Management.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identify new trends in global enterprise management problems.
- 2.Apply basic engineering management techniques to analyze special topics occurred in current enterprise management.
- 3.Explore the cutting-edge technology and management ideas to stay abreast of changes of modern enterprise management.
- EEMT 6900Independent Study[3 credits]DescriptionAn Independent study carried under the supervision of a faculty member.Intended Learning Outcomes
On successful completion of the course, students will be able to:
- 1.Identity a research or industrial problem related to engineering management.
- 2.Apply the knowledge learned through the program to analyze and solve the identified problem.
- 3.Apply project management skills to finish a project independently.
- 4.Demonstrate effective communication skills with the supervisor and scientific writing skills in the thesis.
