Advanced Studies Programs
Department of Industrial and Systems Engineering
Master of Engineering in Industrial Engineering (MEng IE)
Course Requirements | |
Foundation subjects | 12 units |
Methods of Research | 3 units |
Advanced Mathematics | 6 units |
Major subjects | 15 units |
Cognates / electives | 6 units |
Practicum | 6 units |
Orientation for Non-DLSU graduates | (1 unit) |
Total | 48 units |
Note: The foundation courses that a student should take may be reduced or waived; however, the student has to complete the 48-units requirement by taking more elective subjects as substitute to the foundation courses.
Master of Science in Industrial Engineering (M.S. IE.)
Course Requirements | |
Methods of Research | 3 units |
Advanced Mathematics | 6 units |
Major subjects | 15 units |
Cognates / electives | 6 units |
Thesis | 6 units |
Orientation for Non-DLSU graduates | (1 unit) |
Total | 36 units |
Note: Cognates/Electives may be chosen from other engineering graduate programs.
Doctor of Philosophy in Industrial Engineering (PhD IE)
Course Requirements | |
Specialization Courses | 12 units |
Philosophy course | 3 units |
Seminar | 3 units |
Dissertation | 12 units |
Orientation for Non-DLSU graduates | (1 unit) |
Total | 30 units |
Required Courses
A. Foundation Courses (required 12 units for MEng IE) | ||
COURSE CODE | COURSE TITLE | DESCRIPTION |
COE5010 | Engineering Mathematics | This course covers Review of First-order-First-degree differential equation, Laplace Transforms, Systems of linear differential equation with constant coefficients, Power Series Solution of Differential Equations, Fourier Series, and Partial Differential Equations. |
COE5020 | Quantitative Methods | The course covers the basic concepts of probability, random variables, special discrete and continuous probability distributions, sampling concepts, sampling distributions, hypothesis testing, and linear regression and correlation analysis. |
COE5410 | Computer Engineering | This course covers topics on variables, constants, operations and expressions, program control statements, functions, arrays, structures, unions, I/O disk files, understanding memory models, turbo-C. |
COE571M | Techpreneurship | This course takes the participant through entrepreneurship in technology ventures, which is about commercializing technology ideas into viable enterprises. It is about training techies, scientists and researchers in the skills and attitudes of entrepreneurs, about empowering them to realize the opportunities and commercial values arising from their ideas, technologies, technology applications or products. The course examines the development of ideas and how these are translated into opportunities and eventually businesses; it challenges the students to go through the process of writing a business plan, which will be their final output in this course. |
B. Orientation (1 unit, Non-Academic) | ||
COE5000 | Engineering Orientation | The course includes topics on the DLSU history, mission statement, organizational structure, key officers/offices; the Brothers of the Christian Schools, the life and writings of St. John Baptist de la Salle; Lasallian core values and professional ethics. |
C. Basic Subject (3 units Required) | ||
COE5200 | Methods of Research (for MEng & MS students only) | A study of the fundamentals of research designs, analysis and interpretations of data, project feasibility studies, and qualitative research techniques |
COE559D | Philosophy of Technology (for PhD students only) | The course provides a focal point for the creators and doers of technology to examine critically and reflect upon the social influences of technology. The course discusses the philosophical foundation of science, technology, and engineering and analyzes their relationship. It includes a brief presentation of the history of science, technology and engineering surveying major developments from the Industrial Revolution to the present and introduces ethical issues in the work life of engineers and scientists. |
D. Advanced Mathematics (6 units Required) | ||
COE5310 | Advanced Mathematical Methods | Review of linear algebra and linear differential equation, existence and uniqueness, autonomous systems, phase portraits, nonlinear system, linearization, stability, perturbation, chaos and bifurcation. |
COE5320 | Numerical Methods with Computer Programming and Application | Matrix computations, roots of linear and non-linear system, interpolation, numerical integration and differentiation, predictor connector, and Runge Kutta Methods, finite difference methods and introduction to finite element methods. |
COE5100 | Statistical Analysis and Design | Basic Research Methods; analysis of variance and convariance; Experimental Design; Advanced Regression Analysis; Non-Parametric Test |
COURSE CODE |
COURSE DESCRIPTION |
COURSE TYPE |
COURSE DESCRIPTION |
IEN |
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IEN510M | Introduction to Optimization Techniques | Basic | This course deals with Development of Operations Research, principles of modeling, formulation of linear programming (LP) models, solutions to LP models, network analysis, decision theory, dynamic programming, integer linear programming, and applications. |
IEN511M | Risk Management | Major | This course covers the generalized concept of risk. It involves some mathematical models as well as heuristics that analyze risk. This involves risk identification, qualitative and quantitative analysis and fault tree analysis among others. It also deals with the risk management process and risk prioritization. |
IEN512M | Basic Production and Operation System | Basic | This course covers topics on Concepts, techniques, quantitative tools and the decision-making process in the design, planning, implementation, control and operation of production management systems. Includes demand forecasting, capacity planning, inventory management, scheduling, and quality management. |
IEN520M | Optimization Techniques 1 | Major | This course deals with the fundamental concepts of Linear Programming and Integer Linear Programming. These concepts include linear model formulation and solution, duality theory sensitivity analysis, integer linear model formulation and solution and networking |
IEN521M | Optimization Techniques 2 | Major | This course deals with the optimization techniques |
IEN522M | Production and Operations Management Techniques 1 | Major | This course deals with the concepts, the techniques, the quantitative tools, and the decision making process in the design, planning, implementation, control, and operation of a production activity. The major topics covered in the course include Inventory Management Project Scheduling, Facilities Management, and Maintenance. |
IEN523M | Production And Operations Management Techniques 2 | Major | The course focuses on the design, planning, and operations of work in production and operation systems. The course mainly covers the tools and techniques of methods engineering and human factors engineering. |
IEN524M | System Engineering Analysis and Design | Major | The course introduces the students to the concepts, tools, techniques, and activities of systems analysis and design. It discusses different techniques that can be used for each stage of systems analysis and design. |
IEN530M | Service System Management | Major | The course introduces the students to the activities involved in the design and management of service systems. The impact and importance of services on a nation¿s economy is emphasized. Concepts and tools in measuring and achieving service quality are discussed. Moreover, similarities and differences between traditional manufacturing management and service management techniques are tackled. |
IEN531M | Inbound/Outbound Logistics | Major | The course introduces the students to the activities involved in inbound and outbound logistics. The difference between supply chain management is emphasized and the functional areas of logistics such as order processing, outsourcing, customer service, inventory management, warehouse decision, material handling, packaging, transport management and strategic logistics plan are discussed. |
IEN531D | Special Topics In Energy & Environment (Geothermal) | Major | This course begins with a review of the energy sector in the Philippines with special attention to geothermal energy. The course will cover conventional and innovative power cycles for geothermal power generation to enable the student to model and compare the performances of the cycle. The course will focus on conventional power generation technology, i.e. , Rankine cycle and Organic Rankine cycle, and compare it with relatively new technologies, e.g. Kalina Power cycle. The course will also cover the study and comparison of various working fluids such as steam, ammonia-water mixtures and organic fluids used in geothermal power generation. Power plant economics and environmental impacts will also be covered. |
IEN532M | Lean Manufacturing | Major | This course covers how the Lean Manufacturing philosophy and techniques can be applied to an organization to maximize customer value, minimize waste and reduce costs. By adopting a Lean Manufacturing approach, a company will become faster and more responsive to customer requirements while using fewer resources. |
IEN533M | Information Systems Design and Management | Major | This course covers principles on how to design information flows and databases, flowcharting techniques, and new developments in Information Systems. |
IEN534M | Six –Sigma Quality System | Major | This course deals with the origins and concepts, the techniques and quantitative tools, and the decision-making process in the design and implementation of Six-Sigma Quality Systems. The major topics covered in this course include the Six-Sigma Methodology, Setting-Up a Six-Sigma Program, Data Collection, Analysis and Measurement System Evaluation, Recording and Plotting Data, Process Capability Analysis, Statistical Design for Experiments, Innovative solution Techniques and Solution Implementation Guidelines. |
IEN535M | Engineering Finance | Major | The course introduces students to concept of advanced financial instruments like forward contracts, swaps, options and hedging. We take a look at how these tools could be used by companies to their benefit and how investors could trade such tools for their profit. Moreover we look at the importance of these instruments in modern financial management. Fundamental concepts of pricing and trading strategies involving these tools will be explored as well. |
IEN571M | Strategic Thinking and Planning | Major | The course introduces the concepts, quantitative techniques and decision making processes involved in the planning, formulation, implementation and control of strategies in business, service or manufacturing systems. The course centers on strategic thinking, planning methodologies, options generation, scenario identification, implementation and control. |
IEN571D | Strategic Thinking and Planning (for PhD) | Major | Strategic management (Pearce and Robinson, 2000) is defined as the set of decisions and actions that result in the formulation and implementation of plans designed to achieve a company’s objectives. Strategic decisions in firms are largely rooted in complex environmental factors including economic, technological, cultural and political variables which exert a significant impact on the long-term viability and profitability of a firm (Roman, 2003). Strategic decisions are results of excellent systematic strategic thinking and planning which can benefit from the application of the mixture of known tools and techniques of management and engineering and refined by the newly discovered enhancements such as the balance scorecard, modeling and scenario generation, to state a few. While it was a discipline initially developed in the private sector as a management tool to deal with the increasingly complex and uncertain business environment in which decisions have to be made, it has also found wide applications in government systems such as towns, municipalities, cities, provinces, national governmenrt organizations and others which are similarly faced with rapidly changing conditions. |
IEN572M | Design for Six-Sigma System | Cog/Elective | This course deals with the concepts and methodology of creating new products, services, and processes that is capable of consistently performing or delivering the product or service at the level the customers expect. The course includes tools such as QFD, DOE, FMEA, Design for X, Tolerance Design, Reliability Analysis, and etc. The basic methodology will follow the DMADV process. |
IEN573M | Total Quality Environmental Management Systems | Major | Conventional Production and Operations Management (POM) dealt with the important parameters of quality and productivity through Total Quality Management (TQM). As Quality Management System (QMS) in the ISO9000 series evolved to Environmental Management System (QMS) in the ISO14000 series since late 90s, the paradigm also shifted quickly from economic bottom line of single optimization problem to triple bottom line of economic, environmental, and social concerns of multi-criteria decision problem. TQM adopted the environmental tools and became TQEM, this new toolbox operationalized strategy to product, process, and services from the holistic dimensions. |
IEN573D | Total Quality Environmental Management Systems (for PhD) | Major | This is an extension of IEN573M intended for PhD students. The course provides an overview of different technological solutions to problems pertaining to energy and environmental issues. In addition, develops skills in cost-effective management of total resources (man, machine, method, materials, energy, and water) and in managing industrial (primary, secondary, and tertiary) development within tight environmental constraints. Modules also have economic, management, science, and engineering backgrounds. |
IEN574D | Special Topics In Energy & Environment (Geothermal) | Major | This course begins with a review of the energy sector in the Philippines with special attention to geothermal energy. The course will cover conventional and innovative power cycles for geothermal power generation to enable the student to model and compare the performances of the cycle. The course will focus on conventional power generation technology, i.e. , Rankine cycle and Organic Rankine cycle, and compare it with relatively new technologies, e.g. Kalina Power cycle. The course will also cover the study and comparison of various working fluids such as steam, ammonia-water mixtures and organic fluids used in geothermal power generation. Power plant economics and environmental impacts will also be covered. |
IEN611M | System Dynamics | Major | Study on the concepts of systems, more specifically dynamic system, causal loops, feedback loops, system archetypes and computer modeling. |
IEN611D | System Dynamics (for PhD) | Major | Study on the concepts of systems, more specifically dynamic system, casual loops, feedback loops, system archetypes, and computer modeling. |
IEN633M | Advanced Model in Human Factors Engineering | Major | This course deals with the study of models in the areas of workload measurement and evaluation, human error and performance under work paced and environmental stress. |
IEN651D | Life Cycle Engineering and Management (for PhD) | Major | This Course Covers The Conceptual Foundations And Historical Development Of The Life Cycle Concepts. Recent Trends In Lca Are Also Discussed From The Vantage Point Of The Ie Discipline. |
IEN652D | Manufacturing Automation (for PhD) | Major | This course deals with interface for CAD/CAM, flexible manufacturing systems, communication nets and protocol standards. Computer integrated manufacturing design of integrated automation equipment for high volume, flexible manufacturing systems; Automation hardware and software for control and production data acquisition. An investigation of computer-integrated manufacturing and the technologies that support its implementation. The application and management of concurrent engineering, as well as, to describe and analyze manufacturing systems. Development of models using queuing networks, mathematical programming, simulation, and other techniques. Introduction to artificial intelligence techniques used in manufacturing, including the application of expert systems, neural networks, machine learning. Introduction to robot design, capabilities, economics and interfacing. Forward and inverse arm solutions, Jacobian, control algorithms. |
IEN653D | Philosophy of Strategy (for PhD) | Major | This course explores the concepts of strategy, and more specifically, manufacturing and operations strategy. It aims to delve deeper into its components and structure, philosophies, assumptions and biases as part of the strategy theory. It also involves a comparison of different strategic approaches. Secondly, it examines its practice by a careful detailed analysis of various cases. Analysis also includes evolution and development of strategy within organizations as they relate to decision making, decision makers and planners. |
IEN654D | Human- Computer Interaction (for PhD) | Major | The course will discuss theories of human-computer interaction. Discussions will focus on the nature of peoples understanding and use of technology. Three types of interaction will be discussed in detail such as computer-mediated communication (CMC), information retrieval, and computer-supported cooperative work (CSCW). Students will be asked to investigate issues in human-computer interaction and user-interface design. |
IEN655M | Target-Oriented Robust Optimization (TORO) | Major | TORO is a modelling framework that integrates uncertainty at the point of decision-making. This is in contrast to traditional optimization models in the Operations Research literature, which employ a post-mortem analysis to evaluate how well solutions perform under risk. Moreover, it guarantees tractability, such that models will be solved in a relatively short amount of time. The inability to achieve the latter is usually a deterrence to integrate uncertainty in optimization models. The course will involve learning how to use MATLAB in solving optimization models, translating known search heuristics (bisection, secant, golden search, etc) into MATLAB codes, performing nested optimization and Monte Carlo simulation. |
IEN655D | Target-Oriented Robust Optimization (TORO) (for PhD) | Major | For PhD Students. TORO is a modelling framework that integrates uncertainty at the point of decision-making. This is in contrast to traditional optimization models in the Operations Research literature, which employ a post-mortem analysis to evaluate how well solutions perform under risk. Moreover, it guarantees tractability, such that models will be solved in a relatively short amount of time. The inability to achieve the latter is usually a deterrence to integrate uncertainty in optimization models. The course will involve learning how to use MATLAB in solving optimization models, translating known search heuristics (bisection, secant, golden search, etc) into MATLAB codes, performing nested optimization and Monte Carlo simulation. |
IEN656M | Design Thinking: Developing Innovative Product And Service Ideas | Major | The course introduces the student to the design thinking framework which is a human centered approach to design. The framework can be applied in developing new product or service ideas. Since there are numerous customer needs that can be fulfilled by creating innovative designs the student projects in this course will be diverse. Multidisciplinary teams will be formed to encourage sharing of different ideas. Design thinking allows understanding of customer needs through research. The outcome of the needs analysis is used to develop ideas that can be translated into technologically feasible prototypes. |
IEN656D | Design Thinking: Developing Innovative Product And Service Ideas (for PhD) | Major | This course is an extension for IEN656M intended for PhD students. The course introduces the student to the design thinking framework which is a human centered approach to design. The framework can be applied in developing new product or service ideas. Since there are numerous customer needs that can be fulfilled by creating innovative designs the student projects in this course will be diverse. Multidisciplinary teams will be formed to encourage sharing of different ideas. Design thinking allows understanding of customer needs through research. The outcome of the needs analysis is used to develop ideas that can be translated into technologically feasible prototypes. |
IEN810M | Special Topics in Industrial Engineering | Major | This course is a flexible course intended to cover special advanced courses and topics in Industrial Engineering. New developments and specialized knowledge, including new tools, techniques and approaches in Industrial Engineering as they arise in research and industry can be dealt with in this course. |
IEN810D | Special Topics in Industrial Engineering (for PhD) | Major | This course is a flexible course intended to cover special advanced courses and topics in Industrial Engineering. New developments and specialized knowledge, including new tools, techniques and approaches in Industrial Engineering as they arise in research and industry can be dealt with in this course. |
IEN812M | Special Topics in Production Management | Major | This course aims to inculcate to the students the basic quantitative tools and techniques of production management as applied to a manufacturing environment |
IEN820D | Seminar in PhD – Industrial Engineering | Major | This course is intended for Ph.D. students in preparation for their Ph.D. dissertation. This includes attendance to seminars / conferences and paper presentations of topics related to their dissertation. |
IEN8310 | Practicum 1 | Research | IEN Project 1 |
IEN8320 | Practicum 2 | Research | IEN Project 2 |
IEN8330 | Practicum 3 | Research | IEN Project 3 |
IEN8410 | Directed Research 1 | Research | Supervised Research 1 |
IEN8420 | Directed Research 2 | Research | Supervised Research 1 and Project Output Presentation |
IEN843D | Directed Research 3 | Research | Supervised Research 3 |
IEN851M | Thesis 1 | Research | I.E Research Methods 1 |
IEN852M | Thesis 2 | Research | I.E Research Methods 2 |
IEN853M | Thesis 3 | Research | I.E Research Methods 3 |
IEN854M | Thesis 4 | Research | I.E Research Methods 4 |
IEN855M | Thesis 5 | Research | I.E Research Methods 5 |
IEN856M | Thesis 6 | Research | I.E Research Methods 6 |
IEN857M | Thesis 7 | Research | I.E Research Methods 7 |
IEN858M | Thesis 8 | Research | I.E Research Methods 8 |
IEN859M | Thesis 9 | Research | I.E Research Methods 9 |
IEN951D | Doctoral Dissertation 1 | Research | Doctoral Research Methods 1 |
IEN952D | Doctoral Dissertation 2 | Research | Doctoral Research Methods 2 |
IEN953D | Doctoral Dissertation 3 | Research | Doctoral Research Methods 3 |
IEN954D | Doctoral Dissertation 4 | Research | Doctoral Research Methods 4 |
IEN955D | Doctoral Dissertation 5 | Research | Doctoral Research Methods 5 |
IEN956D | Doctoral Dissertation 6 | Research | Doctoral Research Methods 6 |
IEN957D | Doctoral Dissertation 7 | Research | Doctoral Research Methods 7 |
IEN958D | Doctoral Dissertation 8 | Research | Doctoral Research Methods 8 |
IEN959D | Doctoral Dissertation 9 | Research | Doctoral Research Methods 9 |
IEN960D | Doctoral Dissertation 10 | Research | Doctoral Research Methods 10 |
IEN961D | Doctoral Dissertation 11 | Research | Doctoral Research Methods 11 |
IEN962D | Doctoral Dissertation 12 | Research | Doctoral Research Methods 12 |
IEN963D | Doctoral Dissertation 13 | Research | Doctoral Research Methods 13 |
IEN964D | Doctoral Dissertation 14 | Research | Doctoral Research Methods 14 |
IEN965D | Doctoral Dissertation 15 | Research | Doctoral Research Methods 15 |