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The BSc in Industrial and Systems Engineering program is accredited by the Engineering Accreditation Commission (EAC) of the Accreditation Board for Engineering and Technology (ABET), www.abet.org
BSc in Industrial and Systems Engineering program provides a state-of-art undergraduate education to prepare students for successful and long-standing careers in the competitive global economy. The curriculum, led by world-class teachers, is based on strong fundamentals in operations research and is enriched by coursework that targets the specific needs of local industries. Students gain valuable industrial experience through a summer internship and also have the opportunity to participate in international exchange programs during their junior year.
Students graduating with a BSc in Industrial and Systems Engineering degree will attain the following:
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An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics. |
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An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors. |
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An ability to communicate effectively with a range of audiences. |
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An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts. |
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An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives. |
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An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions. |
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An ability to acquire and apply new knowledge as needed, using appropriate learning strategies. |
Industrial and Systems Engineering make decisions concerning the best use of people, material, equipment, energy, and cost in achieving an organizational aim. They can find work in:
Career specializations include:
IISE Student Chapter
The objectives of the Institute of Industrial and Systems Engineers (IISE)student chapter at the Khalifa University of Science and Technology (#671) is to promote the profession and practice of Industrial Engineering through organized effort in study, research and discussion of the fields of Industrial Engineering and the dissemination of knowledge thereby gained.
The goals of the chapter are to:
Course Description of Industrial and Systems Engineering
ISYE 200 Engineering Economic Analysis (3-0-3)
Prerequisite: BUSS 201
This course will introduce economic analysis for the comparison of engineering alternatives to make informed financial decisions. Topics include time value of money, present-worth analysis, annual equivalence analysis, rate-of-return analysis, and methods to address project uncertainty.
ISYE 201 Introduction to Industrial & Systems Engineering (3-0-3)
Prerequisites: MATH 112; ENGR 112
This course provides an introduction and overview of various domains in industrial & systems engineering. Students will become familiar with common IE applications including planning & control in manufacturing, operations research, simulation, quality, ergonomics, engineering economics, supply chains and Systems engineering terms, standards, and procedures and acquire knowledge and skills necessary to engineer complex, multi-disciplinary systems.
ISYE 251 Operations Research I (4-0-4)
Prerequisite: MATH 204
This course introduces Operations Research and deterministic mathematical modeling with emphasis on linear programming. Topics include mathematical modeling of industrial problems, graphical interpretation, simplex method, duality and sensitivity analysis; general solution strategies; and utilization of modeling languages and solvers for computer solution.
ISYE 271 Modern Methods of Manufacturing (3-3-4)
Prerequisite: ENGR 112; PHYS 121
This course introduces modern methods of manufacturing with emphasis on processes and techniques such as digital and additive manufacturing to address the interaction of design, materials, energy, and processing. Laboratory instruction and hands-on experience in machining, process planning, economic justification, and current manufacturing methodologies.
ISYE 311 Quality Control & Reliability (3-3-4)
Prerequisite: MATH 242
This course will introduce theory and methods of quality control, system level reliability and maintenance engineering. Topics covered include process capability indices, attributes and variables control charts, time weighted control charts (CUSUM and EWMA), process and improvement with design of experiments, system reliability, availability, maintenance with the use of relevant engineering standards.
ISYE 331 Stochastic Processes (3-0-3)
Prerequisite: MATH 204; MATH 206; ISYE 341
To learn techniques for modeling stochastic systems, introduce methods for using stochastic models in solving engineering design problems. Analyze probability models that capture short and long term effects of randomness on the systems using a broad range of mathematical and computational tools. Applications such as inventory, reliability, queuing models, and service systems will be discussed.
ISYE 341 Simulation Modeling and Analysis (3-3-4)
Prerequisites: ENGR 112; ISYE 201; MATH 242
Discrete event simulation methodology emphasizing the statistical basis for simulation modeling and analysis. Overview of computer languages and simulation design. Applications include a variety of industrial situations, including manufacturing and logistics simulations.
ISYE 351 Production and Operations Management (3-0-3)
Prerequisite: MATH 242; ISYE 251
This course introduces students to concepts of operations management in manufacturing and service industries. The course covers various operations management tools and methods, such as forecasting, inventory management, lean, scheduling, material and capacity planning, to address how firms can effectively design their operations to match supply with demand under different circumstances. The course also includes an overview of integrated production planning and control systems, including MRP, MRP II and ERP.
ISYE 352 Lean Manufacturing (3-0-3)
Prerequisite: ISYE 271 or MECH 270
This course will introduce students to lean philosophy and tools, and will teach students how to design lean manufacturing systems. It will identify differences between push and pull type manufacturing systems. While the course primarily focuses on manufacturing systems it will also provide basic knowledge needed to design lean service systems.
ISYE 360 Human Factors & Safety Engineering (3-3-4)
Prerequisite: ISYE 201
An introduction to human capabilities and their limitations in engineered systems to increase productivity and work safely. Topics include the range of human motions, senses, and cognitive abilities; the incorporation of the human element into system and product design; communicating critical information to human users; ergonomics and safety in workplace design; safety in workplace. Students apply a wide range of design principles, based on appropriate engineering standards to common workplace settings.
ISYE 361 Data and Information Engineering (3-0-3)
Prerequisite: ISYE 201
This course introduces data modeling and the design and implementation of databases to extract and represent information for various industry applications. Topics include relational models and normalization, entity-relationship models, manipulation of data using Structured Query Language, data visualization and analysis tools, and retrieving data from external sources such as ERP systems and data warehouses.
ISYE 362 Systems Project Management (3-0-3)
Prerequisite: BUSS 201
This course presents a systems approach to managing engineering projects. The course objectives include: gain understanding of essential principles associated with effective project management, application of systems engineering and leadership principles in the day-to-day business environment, acquire skills in defining, planning, initiating and monitoring systems based engineering projects using proven techniques and commonly available computer software tools.
ISYE 391 Independent Study I (Variable course credits from 1 to 3)
Prerequisites: Approval of department and junior standing
This course gives an upper level undergraduate student the opportunity to participate in an individual or group project, study, or research activity under the supervision of a faculty member. A formal report is required.
ISYE 395 Special Topics in Industrial and Systems Engineering (1 to 3 credits)
Prerequisites: Junior standing and Course Specific
This course mainly deals with new trends in Industrial and Systems Engineering and emerging technologies. Course is repeatable if title and content differ.
ISYE 401 Advanced Systems Engineering (3-0-3)
Prerequisite: ISYE 201
This course introduces advanced level to systems methodology, design, and management, an overview of systems engineering as a professional and intellectual discipline, and its relation to other disciplines, such as operations research, management science, and economics.
ISYE 422 Reliability (3-0-3)
Prerequisite: ISYE 311
To understand and learn system level reliability and maintenance engineering, specific topics include hazard functions, life distributions, censoring, life tables, nonparametric and parametric estimation and inference, accelerated life testing, structure functions, reliability and maintenance systems, replacement theory.
ISYE 430 Supply Chain and Logistics (3-3-4)
Prerequisites: ISYE 351
This course introduces supply chain and logistics concepts integrating theory and methods developed in courses such as production, operations and inventory management and Operations Research. The course emphasis is on understanding the role of supply chains for competitive advantage, when and how these concepts are applied to improve the distribution of goods and services, as well as on using mathematical programming and optimization methods for their adequate implementation.
ISYE 431 Time Series Forecasting (3-0-3)
Prerequisites: MATH 242
The objective of this course is to teach the students how to model and forecast time series data, using specialized statistical techniques and software. The emphasis will be on the time domain. Topics include: regression analysis, exponential smoothing methods, stationarity, time series specification, decomposition and the Box-Jenkins methods, ARMA/ARIMA, SARIMA models, model estimation, multi-step ahead forecast and forecast error. This course will provide students with hands-on experience in techniques for modeling and prediction of time series.
ISYE 432 Advanced Stochastic Processes (3-0-3)
Prerequisite: ISYE 331
This course covers the analysis and modeling of stochastic processes. Topics include measure theoretic probability, martingales, renewal theory, elements of large deviations theory, Brownian motion, stochastic integration and Ito calculus and functional limit theorems. In addition, the course will go over some applications to finance engineering, insurance, queuing and inventory models.
ISYE 433 Advanced Statistics (3-0-3)
Prerequisite: MATH 242
This course introduces Advanced Inferential Statistics and the conceptual underpinnings of statistical methods and how to apply them to address more advanced problems. Topics covered includes design of experiments, nonparametric statistics, and Bayesian statistics. Learning how to effectively use data and use of statistics-oriented programming language such as R or SAS.
ISYE 440 Fundamentals of Business Analytics (3-0-3)
Prerequisite: ISYE 311
The course covers the tools and methods used in analytics at a practical level. Applications of machine learning methods will be emphasized in various business and engineering fields. Students will learn to visualize, analyze data and forecast trends. The course will be based on “R” software which is a programming language and software environment for statistical computing and graphics.
ISYE 441 Advanced Simulation (3-0-3)
Prerequisite: ISYE 341
This course provides an advanced treatment of simulation topics focusing on agent-based simulation models and analysis techniques. Topics include large-scale and complex industrial systems; input modeling, output analysis, sensitivity analysis, design of experiments (Taguchi methods), comparison of alternative system configurations.
ISYE 444 Healthcare Analytics and Management (3-0-3)
Prerequisites: MATH 242, ISYE 351
The aim of this course is to teach healthcare analytics and management tools/methods and apply them to support decision-making in diverse healthcare contexts. Leveraging techniques from industrial engineering and operations research, analytics and accompanying technology are introduced to apply for healthcare planning, control and decision making. Key topics include predictive analytics, process improvement, supply chain and inventory management, risk management, quality and safety.
ISYE 445 Six-Sigma Methodology & Applications (3-0-3)
Prerequisite: MATH 242
This course introduces the concept, deployment and practice of Six-Sigma, Six-Sigma methodologies for process improvement and process/product design including: DMAIC and DMADV methods; overview of different quality management tools applied in Six-Sigma projects; Six-Sigma project management and applications of Six-Sigma tools in real world projects.
ISYE 451 Operations Research II (3-0-3)
Prerequisite: ISYE 251
This course will introduce a variety of optimization problems with integer variables and constraints. Topics covered include assignment problems, transportation, transshipment problems, network flows problems, and IP algorithms such as Cutting Planes, Branch & Bound. Applications include the Knapsack Problem and the Traveling Salesman Problem. Appropriate Optimization software tools will be used to solve a variety of practical problems.
ISYE 461 Design of Human-Integrated Systems (3-0-3)
Prerequisites: MATH 242
Introduction to the effective design of information technology to support human activity in the workplace. Topics include general cognitive systems engineering concepts and principles and specific concepts and principles of interface design, task analysis, prototyping, and empirical usability evaluation methods. Case studies and individual and group design projects help students apply the concepts and principles in domains such as service, management, manufacturing, transportation and control systems.
ISYE 475 Facilities Planning and Warehousing (3-3-4)
Prerequisites: ISYE 352
Design of facilities for the most efficient flow and storage of raw materials, work-in-process, and completed stock through a work place. Topics include facilities layout planning models, space-activity relationships, materials handling, storage, and warehousing in relation to trends toward reduced inventory, smaller lot sizes, and just-in-time production using current modeling and analysis tools.
ISYE 480 Financial Engineering (3-0-3)
Prerequisites: MATH 242; ISYE 251
This is an introductory course on financial engineering, technical difficulty of the subject is kept at a minimum, while the major ideas and concepts underlying modern financial engineering are explained and illustrated. Students will learn about the different types of interest, annuities, debt retirement methods, investing in stocks and bonds. The course covers the binomial model for stock prices, portfolio management, and an elementary introduction to continuous time models and the Black-Scholes formula.
ISYE 481 Procurement and Supply Management (3-0-3)
Prerequisite: ISYE 351
Procurement supplies the organization with a flow of materials and services that ensure continuity of supply by maintaining effective relationships with existing sources and by developing other sources of supply either as alternatives or to meet emerging or planned needs. Topics include sourcing strategies, outsourcing, pricing and total cost of ownership.
ISYE 485 Stochastic Manufacturing And Service Systems (3-0-3)
Prerequisite: ISYE 331
Models for describing stochastic movements of parts and material in manufacturing facilities, supply chains, inventory systems, and equipment maintenance networks. Analysis of congestion, delays, machine usage, line balancing, equipment availability, inventory ordering policies, and system crashes. Basics of Markov Chains and queuing theory.
ISYE 491 Independent Study II (Variable course credits from 1 to 3)
Prerequisites: Approval of department and senior standing
This course gives an upper level undergraduate student the opportunity to participate in an individual or group project, study, or research activity under the supervision of a faculty member. A formal report is required.
ISYE 495 Special Topics in Industrial and Systems Engineering (3-0-3)
Prerequisites: Topic Specific
This course mainly deals with new trends in industrial and systems engineering and emerging technologies. Course is repeatable if title and content differ.
ISYE 497 Senior Design Project (1-6-3)
Prerequisites: ENGR 111; ISYE 311; ISYE 341; and Senior Standing
Participation in team projects dealing with design and development of a product, process, or a system. Number of projects will be offered by the different departments, some of which will be multi-disciplinary in nature. The design projects require students to apply a systems approach in solving a real world problem. Students will draw upon their engineering background, experience, and other pertinent resources. The projects require a) addressing constraints (including economic, environment, social, political, health and safety, manufacturability, sustainability) and b) identifying and applying the relevant engineering standards. Oral and written presentations are required. Some teams receive an assignment with industry clients.
ISYE 498 Senior Design Project II (0-9-3)
Prerequisite: ISYE 497
Continuation of ISYE 497.