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IND
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70A/B
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Industrial Systems Design-A/B
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This course, conducted in the graduating year, brings together the knowledge gained in many previous courses. The engineering design process and the impact of design on society and the environment are presented. Working in small teams, students will complete major team projects in which they will be expected to integrate the knowledge and skills acquired on various aspects of industrial engineering. Each student will complete a series of individual design projects as well. Students will be required to submit final reports and conduct oral presentations.
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Lect: 1 hr./Lab: 3 hrs.
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| Prerequisites: MTL 200, (IND 302 or ECN 801), (MEC 323 or MEC 324), PSY 209, CMN 432, IND 300, IND 405, MEC 325, MEC 516, MTH 309, IND 400, IND 600, IND 604, IND 605
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GPA Weight: 2.00
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Billing Units: 1/1
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IND
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300
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Introduction to Management
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The study of theories and practices of management will be introduced with an understanding of the environment in which they operate. The task of the worker, industrial organizations and their culture, the formation and operation of a union and the Canadian industrial relations will be discussed; the dominant North American management theories and applications will be examined, and the Japanese industrial organization and the new role of management will be studied.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: CEN 199, CPS 125, MTH 141, MEC 222, MTH 240, MTL 200 and PCS 211
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GPA Weight: 1.00
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Billing Units: 1
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IND
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303
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Work Measurement, Analysis and Design
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General IE functions are introduced. Operation process chart, flow process chart, flow diagram, worker and machine process chart, and gang process chart are considered as recording and analysis tools. Principles of motion economy and motion study are discussed for manual work design. Work measurement tools covered include predetermined time systems: MTM-1, MTM-2, MTM-3, Maynard Operation Sequence Technique (MOST) and introduction to computer-based MOST; time-study systems: fundamentals of continuous and snap-back techniques for stop-watch, datamyte and palm-pilots; and analytical systems: work sampling and standard data development. Student teams undertake an open-ended work-system design project that requires the integration and analysis of the topics covered.
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Lect: 3 hrs./Lab: 2 hrs.
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| Prerequisites: CEN 199, CPS 125, MTH 141, MEC 222, MTH 240, MTL 200, PCS 211, MTH 410, MEC 325
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GPA Weight: 1.00
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Billing Units: 1
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IND
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400
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Facilities Design
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Principles and practices in layout and material handling for design of industrial and service facilities. Analytical treatment of facilities location, physical layout, material flow and handling. Integration of product, process and functional design of facilities. Fundamental concepts applied through a sequence of design projects.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: (IND 301 or IND 303), CEN 199, CPS 125, MTH 141, MEC 222, MTH 240, MTL 200, PCS 211, and PCS 213
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GPA Weight: 1.00
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Billing Units: 1
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IND
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405
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Introduction to Data Science and Analytics
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Overview of big data, data science and analytics, the role of the data scientist, analytics lifecycle as an end-to-end process. The course focuses on the main phases of the lifecycle, developing core deliverables for stakeholders, teamwork skills, and problem solving skills. The course aims to provide a strong foundation in Analytics, Tools, and Statistics involving in-class lectures, individual assignments, and team projects to solve a problem, and design a solution.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: CEN 199, CPS 125, MTH 141, MEC 222, MTH 240, MTL 200, PCS 211 and MEC 325
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GPA Weight: 1.00
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Billing Units: 1
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IND
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508
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Operations Research I
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This course will introduce students to the basic principles of Operations Research with special emphasis on the paradigms associated with linear programming and simplex method. These include generic modelling; mathematical modelling; the "max", "min", and "mixed case" simplex algorithms; sensitivity analysis; duality; dual simplex algorithm; the revised simplex method; and "assignment", "transportation" and "transhipment" models. These subjects will be studied from both theoretical and practical perspectives.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: CEN 199, ECN 801, CPS 125, MEC 222, MTL 200, PCS 211, MEC 325 and (MTH 309 or MTH 425)
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GPA Weight: 1.00
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Billing Units: 1
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IND
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600
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Systems Modeling and Simulation
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Simulation models of systems in terms of procedural behaviours, both discrete and continuous, deterministic and stochastic, with an emphasis on stochastic, dynamic simulation models will be studied. These include formulating and implementing simulation models, verification and validation of models, analysis of input and output data, statistical techniques for comparing alternative systems. Computer simulation languages and simulators will be introduced.
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Lect: 3 hrs./Lab: 2 hrs.
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| Prerequisites: CEN 199, IND 508, CPS 125, MEC 222, MTL 200, PCS 211, PCS 213 and MTH 410
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GPA Weight: 1.00
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Billing Units: 1
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IND
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604
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Operations Research II
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This course will build upon the principles learned in IND 508. Topics covered in this course include integer programming, dynamic programming, queuing theory, and stochastic processes with practical applications to operational research problems. Non-linear optimality concepts will also be introduced in this course.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: CEN 199, IND 508, CPS 125, MEC 222, MTL 200, PCS 211, PCS 213, MTH 410 and MEC 325
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GPA Weight: 1.00
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Billing Units: 1
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IND
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605
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Experimental Design and Quality Assurance
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The objective of this course is to introduce students to the design of experiments as well as statistical quality control. Topics on experimental design include single-factor experiments, block designs, factorial designs, 2-factor experiments and Taguchi's approach to parameter design. Topics on quality control include product flow chart, cause-effect diagram, Pareto Analysis, statistical process control, acceptance sampling and Taguchi's approach to quality.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: CEN 199, MTH 410, CPS 125, MEC 222, MTL 200, PCS 211 and MEC 325
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GPA Weight: 1.00
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Billing Units: 1
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IND
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708
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Information Systems
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Introduction to information systems covering essential new technologies, information systems applications, and their impact on business models and managerial decision making. Students will learn how new technologies and innovations enable firms to create new products and services, develop new business models, and transform the day-to-day conduct of the business. The Information Systems development life cycle (i.e. requirements analysis, systems design, and implementation) will be reviewed. Students learn concepts through lectures, hands-on assignments, and case studies.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: IND 300, IND 400, IND 405, (IND 302 or ECN 801), MTL 200, (MEC 323 or MEC 324), PSY 209, CMN 432, MEC 325 and MTH 309
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GPA Weight: 1.00
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Billing Units: 1
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IND
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710
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Production and Inventory Systems
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The first part will deal with features of production/service systems, methods of modelling their operation and their control system. Topics include aggregate planning, forecasting techniques, work-force and operations scheduling and material requirement planning. The second part will cover the models and techniques for managing inventory systems. The deterministic and stochastic inventory models and lot sizing in continuous and periodic review systems will be included. Emphasis will be placed on the modelling aspect as well as the use of analytical approaches in the solution of system problems.
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Lect: 4 hrs./Lab: 1 hr.
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| Prerequisites: CMN 432, IND 300, IND 400, (IND 302 OR ECN 801), IND 604, (MEC 323 or MEC 324), MEC 325, MTH 410, MTL 200, and PSY 209
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GPA Weight: 1.00
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Billing Units: 1
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IND
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712
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Industrial Ergonomics
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The course deals with anatomical and physiological factors of the human operator for the design and use of machines, and work facilities. Work physiology and biomechanical aspects of industrial workload, shift work, fatigue, cumulative trauma are analyzed. Techniques for optimizing human/machine system availability, and organization of workstations are considered. The reduction of factors such as visual problems, noise, and heat and cold stress are studied for workplace environmental design. Postural analysis techniques are introduced for making ergonomic work designs. Projects in industrial ergonomics are carried out by students in groups.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: (IND 302 or ECN 801), MTL 200, CEN 199, CMN 432, CPS 125, MTH 141, MEC 222, PCS 211 and (MEC 325 or IND 406)
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GPA Weight: 1.00
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Billing Units: 1
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IND
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713
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Project Management
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The objective of this course is to examine the fundamentals of project management within a life-cycle approach, i.e., from idea generation to termination/close phase. It treats human, mathematical, engineering and managerial issues surrounding project management to equip students with tools to effectively manage engineering projects. This course will cover topics such as: project screening and selection, evaluation methods of projects, project structures, management and control, project scheduling, resource management, life-cycle costing, research and development projects, computer support for project management, and project termination. (Equivalent to MEC 713)
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: (IND 302 or ECN 801), (MEC323 or MEC 324), PCS 213, MTH 410, MTL 200, PSY 209, CMN 432, IND 300, IND 400, IND 405, MEC 516 and MTH 309, Antirequisites: CVL 742, EMS 304
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GPA Weight: 1.00
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Billing Units: 1
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IND
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719
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Big Data Analytics Tools
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This course is an introduction to learning big data tools such as Hadoop and advanced SOL techniques. Students will gain a clear understanding of Hadoop concepts and technologies landscape and market trends. They will construct SQL queries of moderate to high complexity to retrieve data from a relational database. Note: Tools taught Hive, Pig, Oozie, LAMBDA, Gigraph and GraphLab.
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Lect: 3 hrs.
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Departmental consent required
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GPA Weight: 1.00
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Billing Units: 1
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IND
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810
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Flexible Manufacturing Systems
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This course provides students with an overview of the planning, design, implementation, and control of flexible manufacturing systems. It discusses the concept of flexible manufacturing and types of manufacturing systems such as cellular manufacturing and the application of various artificial intelligence techniques to the design of cellular manufacturing systems. It also includes an overview of the basic components of flexible manufacturing systems: selection of automated material handling systems, part type selection and tool allocation models, workpieces and tools routing, capacity planning, and scheduling for flexible manufacturing systems. (Equivalent to MEC 813)
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: MEC 222, (IND 302 OR ECN 801), MEC 322, PCS 213, MTH 410, (MEC 323 or MEC 324), PSY 209, CMN 432, IND 300, IND 400, IND 405, and MEC 325
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GPA Weight: 1.00
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Billing Units: 1
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IND
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816
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Service Operations Management
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The objective of this course is to develop an understanding of the elements of service organizations and relations among the operations, human resources, information system and marketing functions in a service industry. The course explores the challenges faced by managers in various types of service organizations with a focus on operational issues in such organizations. Topics include the nature of services, the role of services in economy, designing service organizations, service quality, E-service, managing service operations, quality and productivity improvement in service organizations, and growth and globalization of services.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: MTL 200, CMN 432, PSY 209, MEC 325, MEC 322, MEC 309, MEC 311, IND 300, IND 400, IND 604, (IND 302 or ECN 801), IND 600, IND 605, IND 405, MTH 309 and EES 512
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GPA Weight: 1.00
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Billing Units: 1
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IND
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832
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Reliability and Decision Analysis
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The purpose of this course is to present analytical approaches to reliability engineering, decision analysis and risk assessment. In the first part of the course, students will be introduced to reliability functions, reliability distributions, analysis of failure data, reliability of systems, design for reliability, maintenance, reliability testing. The focus of the second part of the course is placed on the methodology to model, construct, solve and interpret various decision problems. Decision tree, value of information, risk assessment, utility theory, and multiple objective decision-making will be presented.
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: ECN 801, IND 300, IND 604, IND 605, MEC 311, MEC 325, MTH 410 and PSY 209
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GPA Weight: 1.00
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Billing Units: 1
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IND
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833
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Financial Engineering
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This course explores concepts and methods of financial engineering and its applications with special emphasis on fixed income mathematics, introduction to derivatives, valuation of forward contracts and future contracts, hedging strategies using futures, properties of stock options, no-arbitrage pricing, continuous models (the Black-Scholes theory), and discrete models (lattice approach, Monte Carlo simulation, and finite difference method).
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Lect: 3 hrs./Lab: 1 hr.
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| Prerequisites: ECN 801, IND 300, IND 400, IND 604, MTH 309, MTH 410 and PSY 209
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GPA Weight: 1.00
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Billing Units: 1
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