# List Of Classes

## Majors

Title
QMT 12: Business Statistics and Research Methods (3 units)

The course introduces the students to various methods of statistical analyses as applied in various industries and enterprises. Through the use of primary statistical techniques, the students attain a meaningful understanding of statistical reasoning within the context of management decision-making. Topics essentially focus on statistical description, statistical induction, and analysis of statistical relationship.

QMT 129: Operations Research Modelling Application (3 units)

The art of modeling is at the core of Operations Research (OR). Aspects of modeling include problem formulation, solution, sensitivity analysis, and use of modeling heuristics.
Modeling puts many of the specific analytic tools learned in the first two semesters of OR to use. The course is roughly divided into three parts. The first part consists in the study of additional prototype models and an introduction to heuristic approaches to problem solving. The second consists in a study of model formulation through a discussion of selected papers from OR journals. The third involves the formulation and solution of real-life problems in business and industry.

QMT 128: Advanced Operations Research (3 units)

Advance Operations Research is the continuation of Intermediate Operations Research (QMT 127) focusing on standard Operations Research Models other than Linear Programming models and their extensions. The focus of Advance Operations Research is more on non-linear optimization such as Network Optimization, Dynamic Programming, Inventory, Queuing, and Simulation Models.

QMT 127: Intermediate Operations Research (3 units)

This course is an introduction to the core discipline that distinguishes the M.E. Program from other management programs – the quantitative approach to problem solving in management. It assumes a high level of mathematical preparation and a sufficient exposure to basic management principles. The course starts with an introduction to the general quantitative problem solving methodology. It then proceeds to one of the most widely used techniques, linear programming, covering its formulation, solution methods, other model forms, sensitivity analysis, and other applications.

QMT 11: Business Statistics (3 units)

The course introduces the students to various methods of statistical analyses as applied in various industries and enterprises. Through the use of primary statistical techniques, the students attain a meaningful understanding of statistical reasoning within the context of management decision-making. Topics essentially focus on statistical description, statistical induction, and analysis of statistical relationship.

QMT 109: Business Research and Statistical Methods (3 units)

The quality of management decision-making will depend on a proper understanding and definition of the problems to be addressed, the availability of reliable information, and the validity of models or frameworks used for analysis and evaluation of options. Even mathematical optimization techniques depend on the validity of the assumptions underlying the mathematical models used for analysis. This course provides students with the tools and approaches to undertake business research and capture the behavior of observed phenomena or variables using statistical modeling techniques.

POM 105: Intermediate Production Operations Management (3 units)

Local business organizations are confronted with increasing global competition. To face up to these challenges, managers and decision makers need to fully understand the role of the operations function and its impact on competitiveness. Students will learn how enterprises can organize and manage resources (manpower, technology, facilities, and materials) efficiently to create and deliver products and/or services that respond effectively to customer requirements and expectations. The course covers concepts, procedures, and technologies used in designing and managing operational processes in both manufacturing and service-oriented organizations, with emphasis on informed decision- making and the use of analytical tools.

POM 104: Quantitative Methods and Operations/Production Applications (5 units)

POM 104 is a 5-unit, combined statistics and operations management course. It covers the relevant concepts of production and operations management as well as the quantitative tools for data analysis and business decision making. By the end of the semester, the student should be able to appreciate the key decision situations that confront the operations manager and apply analytical techniques to arrive at better decisions.

POM 102: Fundamentals of Production and Operations Management (3 units)

This course aims to provide the student with an analytical approach to the economic problems of planning and deploying human resources, materials, plus facilities and equipment to generate goods and/or services for the marketplace. Course emphasis will be on the application of the analytical tools to address critical issues related to strengthening the competitive position of the enterprise, such as: product or service design, process engineering and work systems design, management of technology and innovation, environment-friendly design, capacity planning, plant location and facilities layout, logistics and supply chain management, total quality management, operations scheduling, and performance management.

ITM 14: Information Technology Application Programming (3 units)

This course aims to familiarize the students with the use of computers, as well as to develop the kind of thinking required to design algorithms. As such, the course is meant to prepare the students for future courses involving information technology, spreadsheet modeling, optimization theory, and heuristics. Consequently, the course will have a strong mathematical emphasis.

ITM 11: Computers in Business (0 units)

The course provides an introduction to information technology and applications. The course addresses the computer proficiency requirement for all JGSOM majors as well as other business- related majors. It is also the starting point for those who want to pursue a minor in Information Technology Management.  Topics to be covered include: program logic formulation, word processing, spreadsheet analysis and data management, business graphics and presentation techniques.  The course provides intensive hands-on training using the Microsoft Office Suite (MS Word, Excel, Powerpoint) to expose students to different business applications of computers and software.

## Electives

Title
QMT 123: Operations Research Applications (3 units)

This course introduces students to specific OR methodologies and their application to real-life problems. Emphasis will be on the use of OR approaches to support decision making in different functional areas (finance, marketing, strategic management)

QMT 120: Introduction to Operations Research (3 units)

This course aims to develop in the student of any course an appreciation of Operations Research and its benefits. The student is expected to recognize situations in which Operations Research is useful. The student will be exposed to the more commonly used models/techniques to serve as a guideline in the application of OR in actual practice.

POM 199.6: Special Topics in POM: Service Management (3 units)

The service sector represents the fastest growing segment of most industrial economies. Elements common to most service operations make their management complex, however. In particular, services are not storable or transportable, and often capacity usage can be highly variable. Frequently service delivery involves distributed operations with a significant amount of customer contact. All of these factors make the management of service operations end up looking quite a bit different than that for manufacturing. Therefore, the understanding and effective management of service operations requires specialized analytical frameworks and tools. This course focus on simple models that should help students achieve a better understanding of the difficulty of managing and the underlying economics of the service operations being considered.

POM 199.4: Management Project Teams (3 units)

Learning how to build and sustain an environment in which people, teams, and projects flourish is the focus of this course. To deliver project results successfully, people management competencies, more than technical and process know-how, are crucial. This course aims to build in the student these competencies, as needed along the various stages of the project life cycle, and seen as vital in making them truly successful project managers. Moreover, project managers must be able to do more than manage, organize, and control. They must be able to lead the project team and its stakeholders through change. The student will have the opportunity in this course to assess his/her level of managerial skills and his/her leadership profile, participate in case discussions, and gain insights and skills from exercises as he/she is taken through the topics of building teams, team communications, problem solving and decision making, negotiating, change and conflict management, and leading projects in the context of corporate culture.

POM 199.3: Project Management Tools & Techniques (3 units)

Businesses across various industries are valuing project management skills more and more for the successful planning and execution of various initiatives, including marketing campaigns, product development, business process reengineering, IT implementations, construction, mergers and acquisitions, and even corporate restructuring. Therefore, understanding the technical and social aspects of project management becomes an edge for our graduates in the workplace. This course will focus on specialized analytical frameworks and tools in project management, building on the students’ knowledge of project management fundamentals.

POM 199.2: Project Management Fundamentals (3 units)

This course provides students with an overview of project management, focusing on project initiation and control. A discussion of the different types of projects, the project life cycle as well as the intricacies of defining and monitoring project resources, cost, scope and schedule – through work breakdown structures, the precedence diagramming method and earned value analysis among other tools – is included. Popular project management software will also be introduced.

POM 150: Introduction to Six Sigma Process Improvement (3 units)

Six Sigma is a Quality and Process Improvement methodology designed to reduce product or service failure rates to a minimum. Six Sigma leads business culture and requires a nearly flawless execution of business processes making it a high standard for companies to achieve. The Six Sigma process encompasses all aspects of a business, from management, production, service delivery to customer satisfaction. By the end of the semester, the student should be able to understand the Six Sigma methodology and its applications. This course may also serve as initial preparation for a Six Sigma certification.

ITM 124: ICT and Business Strategy (3 units)

Innovative usage of information technology has allowed certain industry players to create or restructure entire industries. Successfully competing in the information economy requires an understanding of how ICT is part of the overall business strategy of the firm. This course examines how ICT can be used for strategic gain, the evolution companies must take toward becoming e-businesses, new business models that can be developed using ICT, and the importance of alignment the IS strategy with the overall business strategy.

ITM 122: Gaming and Management Games (3 units)

This course is designed primarily to complement the business knowledge of students with simulated decision-making using “serious” games as a medium. The games played will be competitive and interactive so a real life business situation can be played out, with results of decisions known as play goes on. Players modify their decisions as feedback and information from pervious decisions begin to unfold.

DEC 100: Decision Analysis (3 units)

The course provides students with an appreciation of common biases in decision making. At the same time, it introduces them to a repertoire of robust frameworks and tools actually used in industry to address common business issues. Rather than focusing on the theoretical foundations of these tools, the class will stress their application to various business situations.