पाठ्यक्रम परिवर्तनशीलता

पाठ्यक्रमबारे सारश

The goal of this program is to provide advanced educational and research opportunities related to operations research, quantitative and computational analysis, large scale optimization, system simulation, information-centric systems, and the integration of information systems in industrial, service and financial organizations. Quantitative Systems Analysis deals with operations research and computational tools for analyzing complex systems and their information components. Topic areas include mathematical programming, optimization, decision analysis, large-scale modeling and simulation, decentralized decision processes, stochastic processes, sequencing and scheduling, parallel and distributed algorithms, and algorithm design. This area of concentration forms the methodological base for the design, integration, implementation, and management of information systems in large-scale organizations.

कार्यक्रमका खाकाहरू

The modules include IE 328 Engineering Statistics, IE 406 Introduction to Mathematical Programming, IE 409 Time Series Analysis, IE 410 Design of Experiments, IE 411 Networks and Graphs, IE 412 Quantitative Models of Supply Chain Management, IE 413 Advanced Engineering Economy and Replacement Analysis, IE 414 Heuristic Methods in Combinatorial Optimization, IE 416 Dynamic Programming, IE 417 Nonlinear Programming, IE 418 Integer Programming, IE 419 Sequencing and Scheduling, IE 439 Queueing Systems, IE 446 Discrete Event Dynamic Systems, IE 458 (ECO 463) Game Theory.

अन्तर्राष्ट्रिय विद्यार्थीहरू प्रवेशको लागि आवश्यकता

Applicant should have a minimum GRE score of 75 percentile in the Quantitative and Analytical areas. The minimum required TOEFL score is 550 on the written test and 213 on the computer version. The iBT (Internet based TOEFL) score requirements are: Reading - 20; Listening - 15; Speaking - 20; Writing - 20. The minimum composite score total - 79.

योग्यता

स्नातकोत्तर उपाधि

प्रदान गर्ने निकाय

Lehigh University

विभागको नाम

P C Rossin College of Engineering and Applied Science, Department of Industrial and Systems Engineering