MS Industrial Engineering
Objective:
Provide advanced training in the modern methods, tools and techniques of industrial
engineering and operations research.
Admission Requirements: Bachelor’s Degree in Industrial Engineering, or a Diploma in Industrial Engineering; above-average academic performance in the undergraduate level
Duration: Maximum of five (5) years
INDUSTRIAL ENGINEERING COURSES
IE 220 Advanced Methods and Standards. Advanced work in motion & time study, wage analysis & payments systems, speed & effort rating & job evaluation. Prereq: COI. 3 u.
IE 230 Statistical Design and Analysis for Engineers. Sampling & sampling distributions, estimation & hypothesis testing, analysis of variance, factorial designs, randomized blocks, latin squares & related designs, fractional replication & confounding nested or hierarchical designs, regression analysis, response surface methodology, analysis of covariance. Prereq: IE 28/equiv. 3 u.
IE 231 Analysis of Production Systems. Mathematical & statistical decision models for the design, operation & control of production systems. Forecasting, inventory, capacity, aggregate planning, scheduling, maintenance & cost control models. Coreq: IE 241. 3 u.
IE 241 Operations Research I. Operations research methodology, Deterministic techniques & applications; linear & integer programming, network analysis, dynamic programming, game theory & non-linear programming. Prereq: IE 142/214. 3 u.
IE 242 Operations Research II. Stochastic techniques & applications in operations research; probabilistic decision theory, queuing theory, inventory theory, reliability theory, scheduling theory, heuristics, & systems simulation. Prereq: IE 241. 3 u.
IE 245 Advanced Production Systems. Application of the systems approach to the analysis, design & operation of production systems. Interaction of technical & socio-economic factors in a complete system. Application of simulation to production problems. Prereq: IE 231, 241. 3 u.
IE 251 Engineering Economic Analysis. Engineering economy problems under conditions of risk & uncertainty. Decision theory, utility theory, game theory. Markov decision processes & Monte Carlo methods. Bayesian decision theory. Prereq: IE 150/equiv. 3 u.
IE 252 Advanced Operations Research. Optimization of large-scale systems. Computational methods. Operations research project. Prereq: IE 242. 3 u.
IE 253 Information Systems I. Concepts & frameworks of information systems. Analysis & design of information systems. Systems analysis & design tools & techniques. Prereq: ES 26/equiv. 3 u.
IE 254 Information Systems II. Implementation considerations in computer-based information systems design. Database systems. Security & privacy issues in information systems. Information systems management. Prereq: IE 253. 3 u.
IE 255 Facilities Systems Design. Design of complex industrial systems involving physical facilities for the production of goods & services. Facilities planning & materials handling. Prereq: IE 245/COI. 3 u.
IE 281 Systems Simulation. Representation & simulation of systems. Random number generation, record processing & generation of statistics. Simulation languages. Prereq: IE 241. 3 u.
IE 290 Seminar
IE 298 Special Topics. 3 u.; may be take twice, topics to be indicated for record purposes.
IE 300 Thesis. Maximum of 6 u.
Admission Requirements: Bachelor’s Degree in Industrial Engineering, or a Diploma in Industrial Engineering; above-average academic performance in the undergraduate level
Duration: Maximum of five (5) years
INDUSTRIAL ENGINEERING COURSES
IE 220 Advanced Methods and Standards. Advanced work in motion & time study, wage analysis & payments systems, speed & effort rating & job evaluation. Prereq: COI. 3 u.
IE 230 Statistical Design and Analysis for Engineers. Sampling & sampling distributions, estimation & hypothesis testing, analysis of variance, factorial designs, randomized blocks, latin squares & related designs, fractional replication & confounding nested or hierarchical designs, regression analysis, response surface methodology, analysis of covariance. Prereq: IE 28/equiv. 3 u.
IE 231 Analysis of Production Systems. Mathematical & statistical decision models for the design, operation & control of production systems. Forecasting, inventory, capacity, aggregate planning, scheduling, maintenance & cost control models. Coreq: IE 241. 3 u.
IE 241 Operations Research I. Operations research methodology, Deterministic techniques & applications; linear & integer programming, network analysis, dynamic programming, game theory & non-linear programming. Prereq: IE 142/214. 3 u.
IE 242 Operations Research II. Stochastic techniques & applications in operations research; probabilistic decision theory, queuing theory, inventory theory, reliability theory, scheduling theory, heuristics, & systems simulation. Prereq: IE 241. 3 u.
IE 245 Advanced Production Systems. Application of the systems approach to the analysis, design & operation of production systems. Interaction of technical & socio-economic factors in a complete system. Application of simulation to production problems. Prereq: IE 231, 241. 3 u.
IE 251 Engineering Economic Analysis. Engineering economy problems under conditions of risk & uncertainty. Decision theory, utility theory, game theory. Markov decision processes & Monte Carlo methods. Bayesian decision theory. Prereq: IE 150/equiv. 3 u.
IE 252 Advanced Operations Research. Optimization of large-scale systems. Computational methods. Operations research project. Prereq: IE 242. 3 u.
IE 253 Information Systems I. Concepts & frameworks of information systems. Analysis & design of information systems. Systems analysis & design tools & techniques. Prereq: ES 26/equiv. 3 u.
IE 254 Information Systems II. Implementation considerations in computer-based information systems design. Database systems. Security & privacy issues in information systems. Information systems management. Prereq: IE 253. 3 u.
IE 255 Facilities Systems Design. Design of complex industrial systems involving physical facilities for the production of goods & services. Facilities planning & materials handling. Prereq: IE 245/COI. 3 u.
IE 281 Systems Simulation. Representation & simulation of systems. Random number generation, record processing & generation of statistics. Simulation languages. Prereq: IE 241. 3 u.
IE 290 Seminar
IE 298 Special Topics. 3 u.; may be take twice, topics to be indicated for record purposes.
IE 300 Thesis. Maximum of 6 u.
